[Robkalman-commits] r39 - in branches/robKalman_bs/pkg/robKalman: . R chm demo inst man

noreply at r-forge.r-project.org noreply at r-forge.r-project.org
Thu Jul 23 21:51:17 CEST 2009


Author: bspangl
Date: 2009-07-23 21:51:16 +0200 (Thu, 23 Jul 2009)
New Revision: 39

Added:
   branches/robKalman_bs/pkg/robKalman/DESCRIPTION
   branches/robKalman_bs/pkg/robKalman/NAMESPACE
   branches/robKalman_bs/pkg/robKalman/R/
   branches/robKalman_bs/pkg/robKalman/R/0AllClass.R
   branches/robKalman_bs/pkg/robKalman/R/ACMfilt.R
   branches/robKalman_bs/pkg/robKalman/R/ACMfilter.R
   branches/robKalman_bs/pkg/robKalman/R/AllGeneric.R
   branches/robKalman_bs/pkg/robKalman/R/AllGenerics.R
   branches/robKalman_bs/pkg/robKalman/R/AllInitialize.R
   branches/robKalman_bs/pkg/robKalman/R/AllPlot.R
   branches/robKalman_bs/pkg/robKalman/R/AllShow.R
   branches/robKalman_bs/pkg/robKalman/R/Psi.R
   branches/robKalman_bs/pkg/robKalman/R/Util.R
   branches/robKalman_bs/pkg/robKalman/R/arGM.R
   branches/robKalman_bs/pkg/robKalman/R/arGMinternal.R
   branches/robKalman_bs/pkg/robKalman/R/calibrateRLS.R
   branches/robKalman_bs/pkg/robKalman/R/classKalman.R
   branches/robKalman_bs/pkg/robKalman/R/mACMfilter.R
   branches/robKalman_bs/pkg/robKalman/R/mACMinternal.R
   branches/robKalman_bs/pkg/robKalman/R/rLSfilter.R
   branches/robKalman_bs/pkg/robKalman/R/recFilter.R
   branches/robKalman_bs/pkg/robKalman/R/recFilterInternal.R
   branches/robKalman_bs/pkg/robKalman/R/simulateSScont.R
   branches/robKalman_bs/pkg/robKalman/chm/
   branches/robKalman_bs/pkg/robKalman/chm/00Index.html
   branches/robKalman_bs/pkg/robKalman/chm/0robKalman-package.html
   branches/robKalman_bs/pkg/robKalman/chm/ACMfilt.html
   branches/robKalman_bs/pkg/robKalman/chm/Logo.jpg
   branches/robKalman_bs/pkg/robKalman/chm/Rchm.css
   branches/robKalman_bs/pkg/robKalman/chm/arGM.html
   branches/robKalman_bs/pkg/robKalman/chm/calibrateRLS.html
   branches/robKalman_bs/pkg/robKalman/chm/internalACM.html
   branches/robKalman_bs/pkg/robKalman/chm/internalKalman.html
   branches/robKalman_bs/pkg/robKalman/chm/internalarGM.html
   branches/robKalman_bs/pkg/robKalman/chm/internalpsi.html
   branches/robKalman_bs/pkg/robKalman/chm/internalrLS.html
   branches/robKalman_bs/pkg/robKalman/chm/recFilter.html
   branches/robKalman_bs/pkg/robKalman/chm/robKalman.chm
   branches/robKalman_bs/pkg/robKalman/chm/robKalman.hhp
   branches/robKalman_bs/pkg/robKalman/chm/robKalman.toc
   branches/robKalman_bs/pkg/robKalman/chm/simulateSScont.html
   branches/robKalman_bs/pkg/robKalman/chm/util.html
   branches/robKalman_bs/pkg/robKalman/demo/
   branches/robKalman_bs/pkg/robKalman/demo/00Index
   branches/robKalman_bs/pkg/robKalman/demo/ACMdemo.R
   branches/robKalman_bs/pkg/robKalman/demo/rLSdemo.R
   branches/robKalman_bs/pkg/robKalman/inst/
   branches/robKalman_bs/pkg/robKalman/inst/NEWS
   branches/robKalman_bs/pkg/robKalman/man/
   branches/robKalman_bs/pkg/robKalman/man/0robKalman-package.Rd
   branches/robKalman_bs/pkg/robKalman/man/ACMfilt.Rd
   branches/robKalman_bs/pkg/robKalman/man/arGM.Rd
   branches/robKalman_bs/pkg/robKalman/man/calibrateRLS.Rd
   branches/robKalman_bs/pkg/robKalman/man/internalACM.Rd
   branches/robKalman_bs/pkg/robKalman/man/internalKalman.Rd
   branches/robKalman_bs/pkg/robKalman/man/internalarGM.Rd
   branches/robKalman_bs/pkg/robKalman/man/internalpsi.Rd
   branches/robKalman_bs/pkg/robKalman/man/internalrLS.Rd
   branches/robKalman_bs/pkg/robKalman/man/recFilter.Rd
   branches/robKalman_bs/pkg/robKalman/man/simulateSScont.Rd
   branches/robKalman_bs/pkg/robKalman/man/util.Rd
Removed:
   branches/robKalman_bs/pkg/robKalman/DESCRIPTION
   branches/robKalman_bs/pkg/robKalman/NAMESPACE
   branches/robKalman_bs/pkg/robKalman/R/
   branches/robKalman_bs/pkg/robKalman/R/0AllClass.R
   branches/robKalman_bs/pkg/robKalman/R/ACMfilt.R
   branches/robKalman_bs/pkg/robKalman/R/ACMfilter.R
   branches/robKalman_bs/pkg/robKalman/R/AllGeneric.R
   branches/robKalman_bs/pkg/robKalman/R/AllGenerics.R
   branches/robKalman_bs/pkg/robKalman/R/AllInitialize.R
   branches/robKalman_bs/pkg/robKalman/R/AllPlot.R
   branches/robKalman_bs/pkg/robKalman/R/AllShow.R
   branches/robKalman_bs/pkg/robKalman/R/Psi.R
   branches/robKalman_bs/pkg/robKalman/R/Util.R
   branches/robKalman_bs/pkg/robKalman/R/arGM.R
   branches/robKalman_bs/pkg/robKalman/R/arGMinternal.R
   branches/robKalman_bs/pkg/robKalman/R/calibrateRLS.R
   branches/robKalman_bs/pkg/robKalman/R/classKalman.R
   branches/robKalman_bs/pkg/robKalman/R/mACMfilter.R
   branches/robKalman_bs/pkg/robKalman/R/mACMinternal.R
   branches/robKalman_bs/pkg/robKalman/R/rLSfilter.R
   branches/robKalman_bs/pkg/robKalman/R/recFilter.R
   branches/robKalman_bs/pkg/robKalman/R/simulateSScont.R
   branches/robKalman_bs/pkg/robKalman/chm/
   branches/robKalman_bs/pkg/robKalman/chm/00Index.html
   branches/robKalman_bs/pkg/robKalman/chm/0robKalman-package.html
   branches/robKalman_bs/pkg/robKalman/chm/ACMfilt.html
   branches/robKalman_bs/pkg/robKalman/chm/Logo.jpg
   branches/robKalman_bs/pkg/robKalman/chm/Rchm.css
   branches/robKalman_bs/pkg/robKalman/chm/arGM.html
   branches/robKalman_bs/pkg/robKalman/chm/calibrateRLS.html
   branches/robKalman_bs/pkg/robKalman/chm/internalACM.html
   branches/robKalman_bs/pkg/robKalman/chm/internalKalman.html
   branches/robKalman_bs/pkg/robKalman/chm/internalarGM.html
   branches/robKalman_bs/pkg/robKalman/chm/internalpsi.html
   branches/robKalman_bs/pkg/robKalman/chm/internalrLS.html
   branches/robKalman_bs/pkg/robKalman/chm/recFilter.html
   branches/robKalman_bs/pkg/robKalman/chm/robKalman.chm
   branches/robKalman_bs/pkg/robKalman/chm/robKalman.hhp
   branches/robKalman_bs/pkg/robKalman/chm/robKalman.toc
   branches/robKalman_bs/pkg/robKalman/chm/simulateSScont.html
   branches/robKalman_bs/pkg/robKalman/chm/util.html
   branches/robKalman_bs/pkg/robKalman/demo/
   branches/robKalman_bs/pkg/robKalman/demo/00Index
   branches/robKalman_bs/pkg/robKalman/demo/ACMdemo.R
   branches/robKalman_bs/pkg/robKalman/demo/rLSdemo.R
   branches/robKalman_bs/pkg/robKalman/inst/
   branches/robKalman_bs/pkg/robKalman/inst/NEWS
   branches/robKalman_bs/pkg/robKalman/man/
   branches/robKalman_bs/pkg/robKalman/man/0robKalman-package.Rd
   branches/robKalman_bs/pkg/robKalman/man/ACMfilt.Rd
   branches/robKalman_bs/pkg/robKalman/man/arGM.Rd
   branches/robKalman_bs/pkg/robKalman/man/calibrateRLS.Rd
   branches/robKalman_bs/pkg/robKalman/man/internalACM.Rd
   branches/robKalman_bs/pkg/robKalman/man/internalKalman.Rd
   branches/robKalman_bs/pkg/robKalman/man/internalarGM.Rd
   branches/robKalman_bs/pkg/robKalman/man/internalpsi.Rd
   branches/robKalman_bs/pkg/robKalman/man/internalrLS.Rd
   branches/robKalman_bs/pkg/robKalman/man/recFilter.Rd
   branches/robKalman_bs/pkg/robKalman/man/simulateSScont.Rd
   branches/robKalman_bs/pkg/robKalman/man/util.Rd
Log:
updating my branch 'robKalman_bs' 
(Bernhard Spangl, 2009-07-23)

Deleted: branches/robKalman_bs/pkg/robKalman/DESCRIPTION
===================================================================
--- branches/robKalman_bs/pkg/robKalman/DESCRIPTION	2009-07-23 15:42:12 UTC (rev 38)
+++ branches/robKalman_bs/pkg/robKalman/DESCRIPTION	2009-07-23 19:51:16 UTC (rev 39)
@@ -1,14 +0,0 @@
-Package: robKalman
-Version: 0.3
-Date: 2009-03-18
-Title: Robust Kalman Filtering
-Description: Routines for Robust Kalman Filtering --- the ACM- and rLS-filter
-Author: Peter Ruckdeschel, Bernhard Spangl, Irina Ursachi, Cezar Chirila
-Maintainer: Peter Ruckdeschel <Peter.Ruckdeschel at itwm.fraunhofer.de>
-Depends: R(>= 2.3.0), methods, graphics, startupmsg, dse1, dse2, MASS, limma, robustbase, numDeriv 
-Imports: stats, MASS
-LazyLoad: yes
-License: LGPL-3
-URL: http://robkalman.r-forge.r-project.org/
-LastChangedDate: {$LastChangedDate: 2009-03-31 15:31:30 +0200 (Di, 31 Mrz 2009) $}
-LastChangedRevision: {$LastChangedRevision: 447 $}

Copied: branches/robKalman_bs/pkg/robKalman/DESCRIPTION (from rev 38, branches/robKalman_bs/pkg/robKalman/DESCRIPTION)
===================================================================
--- branches/robKalman_bs/pkg/robKalman/DESCRIPTION	                        (rev 0)
+++ branches/robKalman_bs/pkg/robKalman/DESCRIPTION	2009-07-23 19:51:16 UTC (rev 39)
@@ -0,0 +1,14 @@
+Package: robKalman
+Version: 0.3
+Date: 2009-06-14
+Title: Robust Kalman Filtering
+Description: Routines for Robust Kalman Filtering --- the ACM- and rLS-filter
+Author: Peter Ruckdeschel, Bernhard Spangl
+Maintainer: Peter Ruckdeschel <Peter.Ruckdeschel at itwm.fraunhofer.de>
+Depends: R(>= 2.3.0), methods, graphics, startupmsg, dse1, dse2, MASS, limma, robustbase, numDeriv 
+Imports: stats, MASS
+LazyLoad: yes
+License: LGPL-3
+URL: http://robkalman.r-forge.r-project.org/
+LastChangedDate: {$LastChangedDate: 2009-06-09 20:21:49 +0200 (Di, 09 Jun 2009) $}
+LastChangedRevision: {$LastChangedRevision: 30 $}

Deleted: branches/robKalman_bs/pkg/robKalman/NAMESPACE
===================================================================
--- branches/robKalman_bs/pkg/robKalman/NAMESPACE	2009-07-23 15:42:12 UTC (rev 38)
+++ branches/robKalman_bs/pkg/robKalman/NAMESPACE	2009-07-23 19:51:16 UTC (rev 39)
@@ -1,8 +0,0 @@
-import("methods")
-import("stats")
-import("startupmsg")
-
-export("ACMfilt", "ACMfilter", "arGM", "Euclidnorm",  
-       "simulateState", "simulateObs", "rcvmvnorm", "Huberize",
-       "rLScalibrateB", "limitS", "rLSFilter", "KalmanFilter", 
-       "recursiveFilter")

Copied: branches/robKalman_bs/pkg/robKalman/NAMESPACE (from rev 38, branches/robKalman_bs/pkg/robKalman/NAMESPACE)
===================================================================
--- branches/robKalman_bs/pkg/robKalman/NAMESPACE	                        (rev 0)
+++ branches/robKalman_bs/pkg/robKalman/NAMESPACE	2009-07-23 19:51:16 UTC (rev 39)
@@ -0,0 +1,13 @@
+import("methods")
+import("stats")
+import("MASS")
+import("startupmsg")
+import("limma")
+import("robustbase")
+import("numDeriv")
+
+export("ACMfilt", "ACMfilter", "arGM", "EuclideanNorm",  
+       "simulateState", "simulateObs", "rcvmvnorm", "Huberize",
+       "rLScalibrateB", "limitS", "rLSFilter", "rLS.IO.Filter",
+       "rLS.AO.Filter", "KalmanFilter", 
+       "recursiveFilter")

Copied: branches/robKalman_bs/pkg/robKalman/R (from rev 38, branches/robKalman_bs/pkg/robKalman/R)

Deleted: branches/robKalman_bs/pkg/robKalman/R/0AllClass.R
===================================================================
--- branches/robKalman_bs/pkg/robKalman/R/0AllClass.R	2009-07-23 15:42:12 UTC (rev 38)
+++ branches/robKalman_bs/pkg/robKalman/R/0AllClass.R	2009-07-23 19:51:16 UTC (rev 39)
@@ -1,68 +0,0 @@
-.onLoad <- function(lib, pkg){
-    require("methods", character = TRUE, quietly = TRUE)
-
-}
-
-
-.onAttach <- function(library, pkg)
-{
-buildStartupMessage(pkg="robKalman", library=library, packageHelp=TRUE #, 
-                    #MANUAL=""
-                    )
-  invisible()
-}
-
-#.onUnload <- function(libpath)
-#{
-#    library.dynam.unload("distrEx", libpath)
-#}
-#
-#
-## register zoo as "S4"-class
-setOldClass("zoo")
-#
-setClassUnion("Hyperparamtype", 
-               c("NULL","matrix", "array", "zoo")
-               )
-
-#
-#
-#
-#
-## positive definite, symmetric matrices with finite entries
-#setClass("ACMcontrol",representation())
-#setClass("rLScontrol",representation())
-#
-#
-#
-#
-# class SSM --- State space model
-setClass("SSM",
-          representation = representation(
-                                name = "character",   ## name of the ssm
-                                F = "Hyperparamtype", ## transition matrix/ces or NULL
-                                Z = "Hyperparamtype", ## observation matrix/ces or NULL
-                                Q = "Hyperparamtype", ## innovation covariance or NULL
-                                V = "Hyperparamtype", ## observation error covariance or NULL
-                                p = "numeric",  ## state dimension
-                                q = "numeric"), ## observation dimension
-          prototype = prototype(name = gettext("a state space"), 
-                                F = NULL,
-                                Z = NULL,
-                                Q = NULL,
-                                V = NULL,
-                                p = 1, 
-                                q = 1), 
-          contains = "VIRTUAL")
-
-# class TimeInvariantSSM 
-setClass("TimeInvariantSSM",
-          prototype = prototype(name = gettext("a time-invariant state space"), 
-                                F = 1,
-                                Z = 1,
-                                Q = 1,
-                                V = 1,
-                                p = 1, 
-                                q = 1), 
-          contains = "SSM")          
-          
\ No newline at end of file

Copied: branches/robKalman_bs/pkg/robKalman/R/0AllClass.R (from rev 38, branches/robKalman_bs/pkg/robKalman/R/0AllClass.R)
===================================================================
--- branches/robKalman_bs/pkg/robKalman/R/0AllClass.R	                        (rev 0)
+++ branches/robKalman_bs/pkg/robKalman/R/0AllClass.R	2009-07-23 19:51:16 UTC (rev 39)
@@ -0,0 +1,14 @@
+.onLoad <- function(lib, pkg){
+    require("methods", character = TRUE, quietly = TRUE)
+
+}
+
+
+.onAttach <- function(library, pkg)
+{
+buildStartupMessage(pkg="robKalman", library=library, packageHelp=TRUE #, 
+                    #MANUAL=""
+                    )
+  invisible()
+}
+

Deleted: branches/robKalman_bs/pkg/robKalman/R/ACMfilt.R
===================================================================
--- branches/robKalman_bs/pkg/robKalman/R/ACMfilt.R	2009-07-23 15:42:12 UTC (rev 38)
+++ branches/robKalman_bs/pkg/robKalman/R/ACMfilt.R	2009-07-23 19:51:16 UTC (rev 39)
@@ -1,78 +0,0 @@
-ACMfilt <- function (x, gm, s0=0, 
-                     psi="Hampel", a=2.5, b=a, c=5.0, 
-                     flag="weights", lagsmo=TRUE)
-{
-###########################################
-##
-##  R-function: ACMfilt - approximate conditional-mean filtering (wrapper)
-##  author: Bernhard Spangl
-##  version: 1.1 (2007-08-13 and 2006-08-31)
-##  References: 
-##  [Mart79c] R.D. Martin, Approximate Conditional-mean Type Smoothers 
-##                and Interpolators (1979)
-##  [Mart81b] R.D. Martin, Robust Methods for Time Series (1981)
-##  [MarT82b] R.D. Martin & D.J. Thomson, Robust-resistent Spectrum 
-##                Estimation (1982)
-##
-###########################################
-
-##  Paramters:
-##  x ... univariate time series (vector)
-##  gm ... list as produced by function 'arGM' which includes components 
-##         'ar' containing the AR(p) coefficient estimates, 'sinnov' containing 
-##         innovation scale estiamtes from AR(p) fits of orders 1 through p;
-##         'Cx' containing an estimate of the p by p autocovariance matrix, 
-##         and 'mu', the estimated mean of 'x'. 
-##  s0 ... scale of nominal Gaussian component of the additive noise
-##  psi ... influence function to be used (default: "Hampel", 
-##          only Hampel's psi function available at the moment)
-##  a, b, c ... tuning constants for Hampel's psi-function
-##              (defaul: a=b=2.5, c=5.0)
-##  flag ... character, if "weights" (default), use psi(t)/t to calculate 
-##           the weights; if "deriv", use psi'(t)
-##  lagsmo ... logical, if TRUE (default) lag p-1 smoothing is performed; 
-##             if FALSE filtering from the top of ^X_t is performed
-
-##  Variable definitions:
-
-    N <- length(x)
-    phi <- gm$ar
-    p <- length(phi)
-    si <- gm$sinnov[p]
-    Cx <- gm$Cx
-    Phi <- cbind(rbind(phi[-p], diag(rep(1, (p-1)))), c(phi[p], rep(0, (p-1))))
-    Q <- matrix(0, p, p)
-##  Q <- diag(rep(0, p))
-    Q[1, 1] <- si^2
-    
-    m0 <- rep(0, p)
-    H <- matrix(c(1, rep(0, (p-1))), 1, p)
-    V <- matrix(s0^2)
-    psi <- .psi(psi)
-    
-    ##  Centering: 
-    x <- x - gm$mu
-    ACMres <- ACMfilter(Y=matrix(x,1,N), a=m0, S=Cx, F=Phi, Q=Q, Z=H, V=V, s0=s0, psi=psi, apsi=a, bpsi=b, cpsi=c, flag=flag)
-
-    X.ck <- ACMres$Xf;  X.ck <- X.ck[,2:(N+1)]
-    X   <- ACMres$Xrf; X <- X[,2:(N+1)]
-    st <- as.numeric(unlist(ACMres$rob1L))
-
-
-    if (!lagsmo) {
-        x.ck <- X.ck[1, ]
-        x <- X[1, ]
-    } else {
-        x.ck <- c(X.ck[p, p:N], X.ck[(p-1):1, N])
-        x <- c(X[p, p:N], X[(p-1):1, N])
-    }
-
-##  ARmodel <- .ARmodel(x, p)
-##  y <- ARmodel$y
-##  Z <- ARmodel$Z
-##  r <- resid(lm.fit(Z, y))
-    
-    return(list(filt.ck=x.ck +gm$mu, filt=x + gm$mu, st=st)) #, 
-##              r=c(rep(NA, p), r)))
-
-}

Copied: branches/robKalman_bs/pkg/robKalman/R/ACMfilt.R (from rev 38, branches/robKalman_bs/pkg/robKalman/R/ACMfilt.R)
===================================================================
--- branches/robKalman_bs/pkg/robKalman/R/ACMfilt.R	                        (rev 0)
+++ branches/robKalman_bs/pkg/robKalman/R/ACMfilt.R	2009-07-23 19:51:16 UTC (rev 39)
@@ -0,0 +1,81 @@
+ACMfilt <- function (x, gm, s0=0, 
+                     psi="Hampel", a=2.5, b=a, c=5.0, 
+                     flag="weights", lagsmo=TRUE)
+{
+###########################################
+##
+##  R-function: ACMfilt - approximate conditional-mean filtering (wrapper)
+##  author: Bernhard Spangl
+##  version: 1.1 (2007-08-13 and 2006-08-31)
+##  References: 
+##  [Mart79c] R.D. Martin, Approximate Conditional-mean Type Smoothers 
+##                and Interpolators (1979)
+##  [Mart81b] R.D. Martin, Robust Methods for Time Series (1981)
+##  [MarT82b] R.D. Martin & D.J. Thomson, Robust-resistent Spectrum 
+##                Estimation (1982)
+##
+###########################################
+
+##  Paramters:
+##  x ... univariate time series (vector)
+##  gm ... list as produced by function 'arGM' which includes components 
+##         'ar' containing the AR(p) coefficient estimates, 'sinnov' containing 
+##         innovation scale estiamtes from AR(p) fits of orders 1 through p;
+##         'Cx' containing an estimate of the p by p autocovariance matrix, 
+##         and 'mu', the estimated mean of 'x'. 
+##  s0 ... scale of nominal Gaussian component of the additive noise
+##  psi ... influence function to be used (default: "Hampel", 
+##          only Hampel's psi function available at the moment)
+##  a, b, c ... tuning constants for Hampel's psi-function
+##              (defaul: a=b=2.5, c=5.0)
+##  flag ... character, if "weights" (default), use psi(t)/t to calculate 
+##           the weights; if "deriv", use psi'(t)
+##  lagsmo ... logical, if TRUE (default) lag p-1 smoothing is performed; 
+##             if FALSE filtering from the top of ^X_t is performed
+
+##  Variable definitions:
+
+    N <- length(x)
+    phi <- gm$ar
+    p <- length(phi)
+    si <- gm$sinnov[p]
+    Cx <- gm$Cx
+    Phi <- cbind(rbind(phi[-p], diag(rep(1, (p-1)))), c(phi[p], rep(0, (p-1))))
+    Q <- matrix(0, p, p)
+##  Q <- diag(rep(0, p))
+    Q[1, 1] <- si^2
+    
+    m0 <- rep(0, p)
+    H <- matrix(c(1, rep(0, (p-1))), 1, p)
+    V <- matrix(s0^2)
+    psi <- .psi(psi)
+    
+    ##  Centering: 
+    x <- x - gm$mu
+    ACMres <- ACMfilter(Y=array(x,dim=c(1,1,N)), a=m0, S=Cx,
+                        F=Phi, Q=Q, Z=H, V=V, s0=s0,
+                        psi=psi, apsi=a, bpsi=b, cpsi=c,
+                        flag=flag)
+
+    X.ck <- ACMres$Xf;  X.ck <- X.ck[,2:(N+1)]
+    X   <- ACMres$Xrf; X <- X[,2:(N+1)]
+    st <- as.numeric(unlist(ACMres$rob1L))
+
+
+    if (!lagsmo) {
+        x.ck <- X.ck[1, ]
+        x <- X[1, ]
+    } else {
+        x.ck <- c(X.ck[p, p:N], X.ck[(p-1):1, N])
+        x <- c(X[p, p:N], X[(p-1):1, N])
+    }
+
+##  ARmodel <- .ARmodel(x, p)
+##  y <- ARmodel$y
+##  Z <- ARmodel$Z
+##  r <- resid(lm.fit(Z, y))
+    
+    return(list(filt.ck=x.ck +gm$mu, filt=x + gm$mu, st=st)) #, 
+##              r=c(rep(NA, p), r)))
+
+}

Deleted: branches/robKalman_bs/pkg/robKalman/R/ACMfilter.R
===================================================================
--- branches/robKalman_bs/pkg/robKalman/R/ACMfilter.R	2009-07-23 15:42:12 UTC (rev 38)
+++ branches/robKalman_bs/pkg/robKalman/R/ACMfilter.R	2009-07-23 19:51:16 UTC (rev 39)
@@ -1,92 +0,0 @@
-.getcorrCovACM  <- function (S1, K,  Z, W=diag(nrow(Z)))
-{
-###########################################
-##
-##  R-function: .corrCov - computes filtering error covarince matrix
-##              (internal function)
-##  author: Bernhard Spangl
-##  version: 1.0 (2006-05-22)
-##
-###########################################
-
-##  Paramters:
-##  S1 ... prediction error covariance matrix
-##  K ... Kalman gain
-##  W ... weight matrix
-##  Z ... observation matrix
-
-    S1 - K %*% W %*% Z %*% S1
-}
-
-##steps for classical Kalman filter (cK)
-.ACMinitstep <- function(a, S, ...) 
-              {dots <- list(...)
-               if(hasArg("s0")) 
-                    s0<-dots$"s0"
-               else
-                    s0<-NULL       
-               list( x0 = a,  S0 = S, s0 = s0)}
-
-
-.ACMpredstep <- function (x0, S0, F, Q, rob0, s0, ...)  ### S=P F= Phi
-{
-###########################################
-##
-##  R-function: .ACMpredstep - prediction step (internal function)
-##  author: Bernhard Spangl
-##  version: 1.0 (2006-05-22)
-##
-###########################################
-
-##  Paramters:
-##  x0 ... state vector (filter estimate)
-##  F=Phi ... design matrix of state equation
-##  S0 ... filtering error covariance matrix
-##  Q ... covariance matrix of state innovation process
-##  rob0 ... general robust parameter --- here: scale s0 of nominal Gaussain component of additive noise
-    S1 <- .getpredCov(S0, F, Q)
-    return(list(x1 = F %*% x0, S1 = S1, rob1 = sqrt(S1[1, 1] + s0), Ind=1))
-}
-
-.ACMcorrstep <- function (y, x1, S1, Z, V, rob1, dum=NULL, psi, apsi, bpsi, cpsi, flag, ...)
-{
-###########################################
-##
-##  R-function: .ACMcorrstep - correction step (internal function)
-##  author: Bernhard Spangl
-##  version: 1.0 (2006-05-22)
-##
-###########################################
-
-##  Paramters:
-##  y ... univariate time series 
-##  x1 ... state vector (one-step-ahead predictor)
-##  rob1 ... general robust parameter --- here st ... time-dependent scale parameter
-##  S1 ... prediction error covariance matrix 
-##  Z ... observation matrix
-##  dum ... dummy variable for compatibility with ... argument of calling function
-##  V ... covariance matrix of observation noise
-##  psi ... influence function to be used 
-##  a, b, c ... tuning constants for Hampel's psi-function
-##              (defaul: a=b=2.5, c=5.0)
-##  flag ... character, if "weights" (default), use psi(t)/t to calculate 
-##           the weights; if "deriv", use psi'(t)
-   
-    st <- rob1
-
-    K <- .getKG(S1, Z, V)
-
-    rst <- (y - x1[1])/st
-
-    ps <- psi(rst, apsi, bpsi, cpsi)
-    dx <- K * st * ps
-    x0 <- x1 + dx
-
-    ind <- (abs(rst-ps)>10^-8)
-    
-    w <- psi(rst,  apsi, bpsi, cpsi, flag)
-    
-    S0 <- .getcorrCovACM(S1, K,  Z, W = w*diag(rep(1, nrow(Z))))
-
-    return(list(x0 = x0, K = K,  S0 = S0, Ind=ind, rob0=rob1))
-}

Copied: branches/robKalman_bs/pkg/robKalman/R/ACMfilter.R (from rev 38, branches/robKalman_bs/pkg/robKalman/R/ACMfilter.R)
===================================================================
--- branches/robKalman_bs/pkg/robKalman/R/ACMfilter.R	                        (rev 0)
+++ branches/robKalman_bs/pkg/robKalman/R/ACMfilter.R	2009-07-23 19:51:16 UTC (rev 39)
@@ -0,0 +1,91 @@
+.getcorrCovACM  <- function (S1, K,  Z, W=diag(nrow(Z)))
+{
+###########################################
+##
+##  R-function: .corrCov - computes filtering error covarince matrix
+##              (internal function)
+##  author: Bernhard Spangl
+##  version: 1.0 (2006-05-22)
+##
+###########################################
+
+##  Paramters:
+##  S1 ... prediction error covariance matrix
+##  K ... Kalman gain
+##  W ... weight matrix
+##  Z ... observation matrix
+
+    S1 - K %*% W %*% Z %*% S1
+}
+
+##steps for classical Kalman filter (cK)
+.ACMinitstep <- function(a, S, ...) 
+              {dots <- list(...)
+               if(hasArg("s0")) 
+                    s0<-dots$"s0"
+               else
+                    s0<-NULL       
+               list( x0 = a,  S0 = S, s0 = s0)}
+
+.ACMpredstep <- function (x0, S0, F, Q, i, rob0, s0, ...)  ### S=P F= Phi
+{
+###########################################
+##
+##  R-function: .ACMpredstep - prediction step (internal function)
+##  author: Bernhard Spangl
+##  version: 1.0 (2006-05-22)
+##
+###########################################
+
+##  Paramters:
+##  x0 ... state vector (filter estimate)
+##  F=Phi ... design matrix of state equation
+##  S0 ... filtering error covariance matrix
+##  Q ... covariance matrix of state innovation process
+##  rob0 ... general robust parameter --- here: scale s0 of nominal Gaussain component of additive noise
+    S1 <- .getpredCov(S0, F, Q)
+    return(list(x1 = F %*% x0, S1 = S1, rob1 = sqrt(S1[1, 1] + s0), Ind=1))
+}
+
+.ACMcorrstep <- function (y, x1, S1, Z, V, i, rob1, dum=NULL, psi, apsi, bpsi, cpsi, flag, ...)
+{
+###########################################
+##
+##  R-function: .ACMcorrstep - correction step (internal function)
+##  author: Bernhard Spangl
+##  version: 1.0 (2006-05-22)
+##
+###########################################
+
+##  Paramters:
+##  y ... univariate time series 
+##  x1 ... state vector (one-step-ahead predictor)
+##  rob1 ... general robust parameter --- here st ... time-dependent scale parameter
+##  S1 ... prediction error covariance matrix 
+##  Z ... observation matrix
+##  dum ... dummy variable for compatibility with ... argument of calling function
+##  V ... covariance matrix of observation noise
+##  psi ... influence function to be used 
+##  a, b, c ... tuning constants for Hampel's psi-function
+##              (defaul: a=b=2.5, c=5.0)
+##  flag ... character, if "weights" (default), use psi(t)/t to calculate 
+##           the weights; if "deriv", use psi'(t)
+    st <- rob1
+
+    K <- .getKG(S1, Z, V)
+
+    rst <- (y - x1[1])/st
+
+    ps <- psi(rst, apsi, bpsi, cpsi)[1,1]
+    dx <- K * st * ps
+    x0 <- x1 + dx
+
+    ind <- (abs(rst-ps)>10^-8)
+    
+    w <- psi(rst,  apsi, bpsi, cpsi, flag)
+    
+    S0 <- .getcorrCovACM(S1, K,  Z, W = w*diag(rep(1, nrow(Z))))
+    Delta <- Z %*% S0 %*% t(Z) + V
+
+    return(list(x0 = x0, K = K,  S0 = S0, Delta=Delta, Ind=ind, rob0=rob1, DeltaY = rst))
+}

Deleted: branches/robKalman_bs/pkg/robKalman/R/AllGeneric.R
===================================================================
--- branches/robKalman_bs/pkg/robKalman/R/AllGeneric.R	2009-07-23 15:42:12 UTC (rev 38)
+++ branches/robKalman_bs/pkg/robKalman/R/AllGeneric.R	2009-07-23 19:51:16 UTC (rev 39)
@@ -1,10 +0,0 @@
-#if(!isGeneric("type")){ 
-#    setGeneric("type", function(object) standardGeneric("type"))
-#}
-#if(!isGeneric("center")){ 
-#    setGeneric("center", function(object) standardGeneric("center"))
-#}
-#if(!isGeneric("center<-")){
-#    setGeneric("center<-", function(object, value) standardGeneric("center<-"))
-#}
-#

Copied: branches/robKalman_bs/pkg/robKalman/R/AllGeneric.R (from rev 38, branches/robKalman_bs/pkg/robKalman/R/AllGeneric.R)
===================================================================
--- branches/robKalman_bs/pkg/robKalman/R/AllGeneric.R	                        (rev 0)
+++ branches/robKalman_bs/pkg/robKalman/R/AllGeneric.R	2009-07-23 19:51:16 UTC (rev 39)
@@ -0,0 +1,10 @@
+#if(!isGeneric("type")){ 
+#    setGeneric("type", function(object) standardGeneric("type"))
+#}
+#if(!isGeneric("center")){ 
+#    setGeneric("center", function(object) standardGeneric("center"))
+#}
+#if(!isGeneric("center<-")){
+#    setGeneric("center<-", function(object, value) standardGeneric("center<-"))
+#}
+#

Deleted: branches/robKalman_bs/pkg/robKalman/R/AllGenerics.R
===================================================================
--- branches/robKalman_bs/pkg/robKalman/R/AllGenerics.R	2009-07-23 15:42:12 UTC (rev 38)
+++ branches/robKalman_bs/pkg/robKalman/R/AllGenerics.R	2009-07-23 19:51:16 UTC (rev 39)
@@ -1,61 +0,0 @@
-############################################################################
-# Access methods
-############################################################################
-
-if(!isGeneric("name")) 
-    setGeneric("name", function(object) standardGeneric("name"))
-
-if(!isGeneric("getp")) 
-   setGeneric("getp", function(object) standardGeneric("getp"))
-if(!isGeneric("getq")) 
-   setGeneric("getq", function(object) standardGeneric("getq"))
-
-if(!isGeneric("getF")) 
-   setGeneric("getF", function(object,t) standardGeneric("getF"))
-if(!isGeneric("getZ")) 
-   setGeneric("getZ", function(object,t) standardGeneric("getZ"))
-if(!isGeneric("getQ")) 
-   setGeneric("getQ", function(object,t) standardGeneric("getQ"))
-if(!isGeneric("getV")) 
-   setGeneric("getV", function(object,t) standardGeneric("getV"))
-
-
-############################################################################
-# Replacement methods
-############################################################################
-
-if(!isGeneric("name<-")) 
-    setGeneric("name<-", 
-                function(object, value) standardGeneric("name<-"))
-
-############################################################################
-# generics to  "usual"  methods
-############################################################################
-
-
-# general methods
-
-if(!isGeneric("isOldVersion")) 
-   setGeneric("isOldVersion", function(object) standardGeneric("isOldVersion"))
-
-if(!isGeneric("conv2NewVersion")) 
-   setGeneric("conv2NewVersion", 
-               function(object) standardGeneric("conv2NewVersion"))
-### setting gaps
-
-if(!isGeneric("setgaps"))
-   setGeneric("setgaps", function(object, ...) standardGeneric("setgaps"))
-
-#### generics for log, log10, lgamma, gamma
-
-
-if(!isGeneric("log"))
-   setGeneric("log") #, function(x, base) standardGeneric("log"))
-if(!isGeneric("log10"))
-   setGeneric("log10")
-if(!isGeneric("lgamma"))
-   setGeneric("lgamma")
-if(!isGeneric("gamma"))
-   setGeneric("gamma")
-
-

Copied: branches/robKalman_bs/pkg/robKalman/R/AllGenerics.R (from rev 38, branches/robKalman_bs/pkg/robKalman/R/AllGenerics.R)
===================================================================
--- branches/robKalman_bs/pkg/robKalman/R/AllGenerics.R	                        (rev 0)
+++ branches/robKalman_bs/pkg/robKalman/R/AllGenerics.R	2009-07-23 19:51:16 UTC (rev 39)
@@ -0,0 +1,123 @@
+if(!isGeneric("solve")){
+    setGeneric("solve", function(a,b,...) standardGeneric("solve"))
+}
+############################################################################
+# Access methods
+############################################################################
+
+if(!isGeneric("name")) 
+    setGeneric("name", function(object) standardGeneric("name"))
+
+if(!isGeneric("getp")) 
+   setGeneric("getp", function(object) standardGeneric("getp"))
+if(!isGeneric("getq")) 
+   setGeneric("getq", function(object) standardGeneric("getq"))
+
+if(!isGeneric("getF")) 
+   setGeneric("getF", function(object) standardGeneric("getF"))
+if(!isGeneric("getZ")) 
+   setGeneric("getZ", function(object) standardGeneric("getZ"))
+if(!isGeneric("getQ")) 
+   setGeneric("getQ", function(object) standardGeneric("getQ"))
+if(!isGeneric("getV")) 
+   setGeneric("getV", function(object) standardGeneric("getV"))
+if(!isGeneric("geta")) 
+   setGeneric("geta", function(object) standardGeneric("geta"))
+if(!isGeneric("getS")) 
+   setGeneric("getS", function(object) standardGeneric("getS"))
+if(!isGeneric("time")) 
+   setGeneric("time", function(x,...) standardGeneric("time"))
+
+if(!isGeneric("SSM")) 
+   setGeneric("SSM", function(object, ...) standardGeneric("SSM"))
+if(!isGeneric("Y")) 
+   setGeneric("Y", function(object, ...) standardGeneric("Y"))
+if(!isGeneric("X.filtered")) 
+   setGeneric("X.filtered", function(object, ...) standardGeneric("X.filtered"))
+if(!isGeneric("X.predicted")) 
+   setGeneric("X.predicted", function(object, ...) standardGeneric("X.predicted"))
+if(!isGeneric("Cov.filtered")) 
+   setGeneric("Cov.filtered", function(object, ...) standardGeneric("Cov.filtered"))
+if(!isGeneric("Cov.predicted")) 
+   setGeneric("Cov.predicted", function(object, ...) standardGeneric("Cov.predicted"))
+if(!isGeneric("Kalman.Gain")) 
+   setGeneric("Kalman.Gain", function(object, ...) standardGeneric("Kalman.Gain"))
+if(!isGeneric("X.rob.filtered")) 
+   setGeneric("X.rob.filtered", function(object, ...) standardGeneric("X.rob.filtered"))
+if(!isGeneric("X.rob.predicted")) 
+   setGeneric("X.rob.predicted", function(object, ...) standardGeneric("X.rob.predicted"))
+if(!isGeneric("Cov.rob.filtered")) 
+   setGeneric("Cov.rob.filtered", function(object, ...) standardGeneric("Cov.rob.filtered"))
+if(!isGeneric("Cov.rob.predicted")) 
+   setGeneric("Cov.rob.predicted", function(object, ...) standardGeneric("Cov.rob.predicted"))
+if(!isGeneric("Kalman.rob.Gain")) 
+   setGeneric("Kalman.rob.Gain", function(object, ...) standardGeneric("Kalman.rob.Gain"))
+if(!isGeneric("rob.correction.ctrl")) 
+   setGeneric("rob.correction.ctrl", function(object, ...) standardGeneric("rob.correction.ctrl"))
+if(!isGeneric("rob.prediction.ctrl")) 
+   setGeneric("rob.prediction.ctrl", function(object, ...) standardGeneric("rob.prediction.ctrl"))
+if(!isGeneric("IndIO")) 
+   setGeneric("IndIO", function(object, ...) standardGeneric("IndIO"))
+if(!isGeneric("IndAO")) 
+   setGeneric("IndAO", function(object, ...) standardGeneric("IndAO"))
+if(!isGeneric("nsim")) 
+   setGeneric("nsim", function(object, ...) standardGeneric("nsim"))
+if(!isGeneric("RNGstate")) 
+   setGeneric("RNGstate", function(object, ...) standardGeneric("RNGstate"))
+if(!isGeneric("Cov.rob.filtered.sim")) 
+   setGeneric("Cov.rob.filtered.sim", function(object, ...) standardGeneric("Cov.rob.filtered.sim"))
+if(!isGeneric("Cov.rob.predicted.sim")) 
+   setGeneric("Cov.rob.predicted.sim", function(object, ...) standardGeneric("Cov.rob.predicted.sim"))
+if(!isGeneric("init")) 
+   setGeneric("init", function(object, ...) standardGeneric("init"))
+if(!isGeneric("predict")) 
+   setGeneric("predict", function(object, ...) standardGeneric("predict"))
+if(!isGeneric("correct")) 
+   setGeneric("correct", function(object, ...) standardGeneric("correct"))
+if(!isGeneric("init.rob")) 
+   setGeneric("init.rob", function(object, ...) standardGeneric("init.rob"))
+if(!isGeneric("name.rob")) 
+   setGeneric("name.rob", function(object, ...) standardGeneric("name.rob"))
+if(!isGeneric("predict.rob")) 
+   setGeneric("predict.rob", function(object, ...) standardGeneric("predict.rob"))
+if(!isGeneric("correct.rob")) 
+   setGeneric("correct.rob", function(object, ...) standardGeneric("correct.rob"))
+if(!isGeneric("controls")) 
+   setGeneric("controls", function(object, ...) standardGeneric("controls"))
+                              
+############################################################################
+# Replacement methods
+############################################################################
+
+if(!isGeneric("name<-")) 
+    setGeneric("name<-", 
+                function(object, value) standardGeneric("name<-"))
+
+if(!isGeneric("setp<-")) 
+   setGeneric("setp<-", function(object, value) standardGeneric("setp<-"))
+if(!isGeneric("setq<-")) 
+   setGeneric("setq<-", function(object, value) standardGeneric("setq<-"))
+
+if(!isGeneric("setF<-")) 
+   setGeneric("setF<-", function(object, value) standardGeneric("setF<-"))
+if(!isGeneric("setZ<-")) 
+   setGeneric("setZ<-", function(object, value) standardGeneric("setZ<-"))
+if(!isGeneric("setQ<-")) 
+   setGeneric("setQ<-", function(object, value) standardGeneric("setQ<-"))
+if(!isGeneric("setV<-")) 
+   setGeneric("setV<-", function(object, value) standardGeneric("setV<-"))
+if(!isGeneric("seta<-")) 
+   setGeneric("seta<-", function(object, value) standardGeneric("seta<-"))
+if(!isGeneric("setS<-")) 
+   setGeneric("setS<-", function(object, value) standardGeneric("setS<-"))
+if(!isGeneric("time<-")) 
+   setGeneric("time<-", function(x, value) standardGeneric("time<-"))
+
+if(!isGeneric(".make.project")) 
+setGeneric(".make.project",function(object, ...) standardGeneric(".make.project"))
+
+if(!isGeneric("kalman")) 
+setGeneric("kalman",function(smooth, ...) standardGeneric("kalman"))
+
+if(!isGeneric("kalmanRob")) 
+setGeneric("kalmanRob",function(method, smooth, ...) standardGeneric("kalmanRob"))

Deleted: branches/robKalman_bs/pkg/robKalman/R/AllInitialize.R
===================================================================
--- branches/robKalman_bs/pkg/robKalman/R/AllInitialize.R	2009-07-23 15:42:12 UTC (rev 38)
+++ branches/robKalman_bs/pkg/robKalman/R/AllInitialize.R	2009-07-23 19:51:16 UTC (rev 39)
@@ -1,1012 +0,0 @@
-#### as to whether to use Generating functions or to use initialize methods:
-#### http://tolstoy.newcastle.edu.au/R/e2/devel/07/01/1976.html
-                     
-################################################################################
-## SPACES
-################################################################################
-
-setMethod("initialize", "Reals",
-          function(.Object) {
-            .Object at dimension <-  1
-            .Object at name <- gettext("Real Space")
-            .Object
-          })
-
-
-setMethod("initialize", "Naturals",
-          function(.Object) {
-            .Object at dimension <-  1
-            .Object at name <- gettext("Grid of Naturals")
-            .Object
-          })
-
-
-################################################################################
-## PARAMETERS
-################################################################################
-
-setMethod("initialize", "GeomParameter",
-          function(.Object, prob = .5) {
-            .Deprecated(new = "new(\"NbinomParameter\"(size = 1, prob, name)",
-                        package = "distr", 
-                        msg = gettext(
-"Class 'GeomParameter' is no longer needed and will be replaced by \nclass 'NbinomParameter' soon."                        
-                        ))
-            .Object at prob <- prob
-            .Object at name <- gettext("Parameter of a Geometric distribution")
-            .Object
-          })
-################################################################################
-## DISTRIBUTIONS
-################################################################################
-
-## Class: UnivariateDistribution
-###produces difficulties in coercing...:
-#
-#setMethod("initialize", "UnivariateDistribution",
-#          function(.Object, r = NULL, d = NULL, p = NULL, q = NULL, 
-#                    param = NULL, img = new("Reals"),
-#                    .withSim = FALSE, .withArith = FALSE) {
-#            if(is.null(r)) {
-#              stop("You have at least to give the slot r.")
-#              return(invisible())}
-#            ### Attention: no checking!!!
-#            .Object at img <- img
-#            .Object at param <- param
-#            .Object at d <- d
-#            .Object at p <- p
-#            .Object at q <- q
-#           .Object at r <- r
-#            .Object at .withSim <- .withSim
-#            .Object at .withArith <- .withArith
-#            .Object })
-
-## class AbscontDistribution
-setMethod("initialize", "AbscontDistribution",
-          function(.Object, r = NULL, d = NULL, p = NULL, q = NULL, 
-                   gaps = NULL, param = NULL, img = new("Reals"),
-                   .withSim = FALSE, .withArith = FALSE) {
-
-            ## don't use this if the call is new("AbscontDistribution")
-            LL <- length(sys.calls())
-            if(sys.calls()[[LL-3]] == "new(\"AbscontDistribution\")")
-               {return(.Object)}
-            
-            if(is.null(r))
-               warning("you have to specify slot r at least")
-                          
-            ## TOBEDONE Errorkanal
-            
-            dpq.approx <- 0
-            
-            dfun <- d
-            pfun <- p
-            qfun <- q
-            
-            if(is.null(d)) {
-              .withSim <- TRUE
-              dpq <- RtoDPQ(r)
-              dpq.approx <- 1
-              dfun <- dpq$dfun}
-            
-            if(is.null(p)) {
-              .withSim <- TRUE
-              if(dpq.approx == 0) {dpq <- RtoDPQ(r)}
-              dpq.approx <- 1
-              pfun <- dpq$pfun}
-            
[TRUNCATED]

To get the complete diff run:
    svnlook diff /svnroot/robkalman -r 39


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