[Gmm-commits] r5 - in pkg/gmm: . R inst/doc man
noreply at r-forge.r-project.org
noreply at r-forge.r-project.org
Thu Dec 3 04:14:39 CET 2009
Author: chaussep
Date: 2009-12-03 04:14:37 +0100 (Thu, 03 Dec 2009)
New Revision: 5
Modified:
pkg/gmm/DESCRIPTION
pkg/gmm/NAMESPACE
pkg/gmm/R/gel.R
pkg/gmm/R/gmm.R
pkg/gmm/inst/doc/gmm_with_R.pdf
pkg/gmm/man/Finance.Rd
pkg/gmm/man/HAC.Rd
pkg/gmm/man/charStable.Rd
pkg/gmm/man/gel.Rd
pkg/gmm/man/gmm.Rd
pkg/gmm/man/rho.Rd
pkg/gmm/man/weightsAndrews2.Rd
Log:
Modification of manuals and renamed functions with underscores
Modified: pkg/gmm/DESCRIPTION
===================================================================
--- pkg/gmm/DESCRIPTION 2009-09-03 21:15:09 UTC (rev 4)
+++ pkg/gmm/DESCRIPTION 2009-12-03 03:14:37 UTC (rev 5)
@@ -1,6 +1,6 @@
Package: gmm
-Version: 1.1-1
-Date: 2009-09-03
+Version: 1.1-2
+Date: 2009-12-01
Title: Generalized Method of Moments and Generalized Empirical Likelihood
Author: Pierre Chausse <pierre.chausse at uqam.ca>
Maintainer: Pierre Chausse <pierre.chausse at uqam.ca>
Modified: pkg/gmm/NAMESPACE
===================================================================
--- pkg/gmm/NAMESPACE 2009-09-03 21:15:09 UTC (rev 4)
+++ pkg/gmm/NAMESPACE 2009-12-03 03:14:37 UTC (rev 5)
@@ -1,6 +1,6 @@
Import(stats)
-export(HAC,gmm,weightsAndrews2,bwAndrews2,summary.gmm,rho,smooth_g,get_dat,bwNeweyWest2,summary.gel,get_lamb,gel,
+export(HAC,gmm,weightsAndrews2,bwAndrews2,summary.gmm,rho,smoothG,getDat,bwNeweyWest2,summary.gel,getLamb,gel,
print.gmm,coef.gmm,vcov.gmm,print.summary.gmm, confint.gel, print.gel, print.summary.gel, vcov.gel, coef.gel, fitted.gmm,
residuals.gmm, fitted.gel, residuals.gel, plot.gmm, plot.gel,formula.gmm, formula.gel, charStable)
Modified: pkg/gmm/R/gel.R
===================================================================
--- pkg/gmm/R/gel.R 2009-09-03 21:15:09 UTC (rev 4)
+++ pkg/gmm/R/gel.R 2009-12-03 03:14:37 UTC (rev 5)
@@ -68,7 +68,7 @@
return(rhom)
}
-get_lamb <- function(g,tet,x,type=c('EL','ET','CUE'),tol_lam=1e-12,maxiterlam=1000,tol_obj=1e-7)
+getLamb <- function(g,tet,x,type=c('EL','ET','CUE'),tol_lam=1e-12,maxiterlam=1000,tol_obj=1e-7)
{
type <- match.arg(type)
gt <- g(tet,x)
@@ -136,6 +136,41 @@
return(z)
}
+smoothG <- function (x, bw = bwAndrews2, prewhite = 1, ar.method = "ols",weights=weightsAndrews2,
+ kernel=c("Bartlett","Parzen","Truncated","Tukey-Hanning"), approx = c("AR(1)","ARMA(1,1)"),
+ tol = 1e-7)
+ {
+ kernel <- match.arg(kernel)
+ approx <- match.arg(approx)
+
+ n <- nrow(x)
+ if (is.function(weights))
+ {
+ w <- weights(x, bw = bw, kernel = kernel,
+ prewhite = prewhite, ar.method = ar.method, tol = tol,
+ verbose = FALSE, approx = approx)
+ }
+ else
+ w <- weights
+
+
+ rt <- length(w)
+ if (rt >= 2)
+ {
+ w <- c(w[rt:2],w)
+ w <- w / sum(w)
+ rt <- rt-1
+ sgt <- function(t) crossprod(x[(t-rt):(t+rt),],w)
+ x[(rt+1):(n-rt),] <- t(sapply((rt+1):(n-rt),sgt))
+ sx <- list("smoothx"=x,"kern_weights"=w)
+ return(sx)
+ }
+ else
+ sx <- list("smoothx"=x,"kern_weights"=1)
+ return(sx)
+ }
+
+
gel <- function(g,x,tet0,gradv=NULL,smooth=FALSE,type=c("EL","ET","CUE","ETEL"), vcov=c("HAC","iid"), kernel = c("Bartlett", "Parzen",
"Truncated", "Tukey-Hanning"), bw=bwAndrews2, approx = c("AR(1)",
"ARMA(1,1)"), prewhite = 1, ar.method = "ols", tol_weights = 1e-7, tol_lam=1e-9, tol_obj = 1e-9,
@@ -168,7 +203,7 @@
if (is(g,"formula"))
{
typeg=1
- dat <- get_dat(g,x)
+ dat <- getDat(g,x)
x <- dat$x
g <- function(tet,x,ny=dat$ny,nh=dat$nh,k=dat$k)
@@ -209,7 +244,7 @@
sg <- function(thet,x)
{
gf <- g1(thet,x)
- gt <- smooth_g(gf, weights=w)$smoothx
+ gt <- smoothG(gf, weights=w)$smoothx
return(gt)
}
g <- sg
@@ -219,7 +254,7 @@
{
if (optlam=="iter")
{
- lamblist <- get_lamb(g,tet,x,type=typel,tol_lam=tol_lam,maxiterlam=maxiterlam,tol_obj=tol_obj)
+ lamblist <- getLamb(g,tet,x,type=typel,tol_lam=tol_lam,maxiterlam=maxiterlam,tol_obj=tol_obj)
lamb <- lamblist$lambda
gt <- g(tet,x)
pt <- -rho(gt,lamb,type=typet,derive=1)$rhomat/nrow(gt)
@@ -276,7 +311,7 @@
if (optlam=="iter")
{
- rlamb <- get_lamb(g,res$par,x,type=typel,tol_lam=tol_lam,maxiterlam=maxiterlam,tol_obj=tol_obj)
+ rlamb <- getLamb(g,res$par,x,type=typel,tol_lam=tol_lam,maxiterlam=maxiterlam,tol_obj=tol_obj)
z <- list(coefficients=res$par,lambda=rlamb$lam,conv_lambda=rlamb$conv_mes,conv_par=res$convergence)
z$foc_lambda <- rlamb$obj
}
Modified: pkg/gmm/R/gmm.R
===================================================================
--- pkg/gmm/R/gmm.R 2009-09-03 21:15:09 UTC (rev 4)
+++ pkg/gmm/R/gmm.R 2009-12-03 03:14:37 UTC (rev 5)
@@ -25,7 +25,7 @@
if (is(g,"formula"))
{
typeg=1
- dat <- get_dat(g,x)
+ dat <- getDat(g,x)
x <- dat$x
g <- function(tet,x,ny=dat$ny,nh=dat$nh,k=dat$k)
{
@@ -198,7 +198,7 @@
}
if (type=="cue")
{
- obj_cue <- function(thet)
+ objCue <- function(thet)
{
gt <- g(thet,x)
gbar <- as.vector(colMeans(gt))
@@ -214,15 +214,15 @@
if (is.null(t0))
t0 <- tetlin(x,diag(rep(1,q)))$par
if (optfct == "optim")
- res2 <- optim(t0,obj_cue, ...)
+ res2 <- optim(t0,objCue, ...)
if (optfct == "nlminb")
{
- res2 <- nlminb(t0,obj_cue, ...)
+ res2 <- nlminb(t0,objCue, ...)
res2$value <- res2$objective
}
if (optfct == "optimize")
{
- res2 <- optimize(obj_cue,t0, ...)
+ res2 <- optimize(objCue,t0, ...)
res2$par <- res2$minimum
res2$value <- res2$objective
}
@@ -230,15 +230,15 @@
else
{
if (optfct == "optim")
- res2 <- optim(t0,obj_cue, ...)
+ res2 <- optim(t0,objCue, ...)
if (optfct == "nlminb")
{
- res2 <- nlminb(t0,obj_cue, ...)
+ res2 <- nlminb(t0,objCue, ...)
res2$value <- res2$objective
}
if (optfct == "optimize")
{
- res2 <- optimize(obj_cue,t0, ...)
+ res2 <- optimize(objCue,t0, ...)
res2$par <- res2$minimum
res2$value <- res2$objective
}
@@ -379,10 +379,44 @@
z
}
-formula.gmm <- function(x, ...)
+getDat <- function (formula,h)
{
- if(is.null(x$terms))
- stop("The gmm object was not created by a formula")
- else
- formula(x$terms)
+ cl <- match.call()
+ mf <- match.call(expand.dots = FALSE)
+ m <- match(c("formula", "data"), names(mf), 0L)
+ mf <- mf[c(1L, m)]
+ mf$drop.unused.levels <- TRUE
+ mf[[1L]] <- as.name("model.frame")
+ mf <- eval(mf, parent.frame())
+ mt <- attr(mf, "terms")
+ if (!is.matrix(h))
+ h <- cbind(rep(1,length(h)),h)
+ else
+ h <- cbind(rep(1,nrow(h)),h)
+ colnames(h) <- c("h.(Intercept)",paste("h",1:(ncol(h)-1),sep=""))
+ y <- as.matrix(model.response(mf, "numeric"))
+ xt <- as.matrix(model.matrix(mt, mf, NULL))
+ if (attr(mt,"intercept")==0)
+ {
+ h <- as.matrix(h[,2:ncol(h)])
+ }
+ ny <- ncol(y)
+ k <- ncol(xt)
+ nh <- ncol(h)
+ if (nrow(y) != nrow(xt) | nrow(xt) != nrow(h) | nrow(y)!=nrow(h))
+ stop("The number of observations of X, Y and H must be the same")
+ if (nh<k)
+ stop("The number of moment conditions must be at least equal to the number of coefficients to estimate")
+ if (is.null(colnames(y)))
+ {
+ if (ny>1)
+ colnames(y) <- paste("y",1:ncol(y),sep="")
+ if (ny == 1)
+ colnames(y) <- "y"
+ }
+ x <- cbind(y,xt,h)
+ colnames(x)<-c(colnames(y),colnames(xt),colnames(h))
+ return(list(x=x,nh=nh,ny=ny,k=k,mf=mf,mt=mt,cl=cl))
}
+
+
Modified: pkg/gmm/inst/doc/gmm_with_R.pdf
===================================================================
--- pkg/gmm/inst/doc/gmm_with_R.pdf 2009-09-03 21:15:09 UTC (rev 4)
+++ pkg/gmm/inst/doc/gmm_with_R.pdf 2009-12-03 03:14:37 UTC (rev 5)
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trailer
<< /Size 550
/Root 548 0 R
/Info 549 0 R
-/ID [<E9211951A0F53B94EE40069AEC3AAE4F> <E9211951A0F53B94EE40069AEC3AAE4F>] >>
+/ID [<F878F5A28A80A2F6D5F1584E99CD5166> <F878F5A28A80A2F6D5F1584E99CD5166>] >>
startxref
-420094
+420105
%%EOF
Modified: pkg/gmm/man/Finance.Rd
===================================================================
--- pkg/gmm/man/Finance.Rd 2009-09-03 21:15:09 UTC (rev 4)
+++ pkg/gmm/man/Finance.Rd 2009-12-03 03:14:37 UTC (rev 5)
@@ -7,32 +7,32 @@
}
\usage{data(Finance)}
\format{
-A data frame containing 24 time series. Dates are reported as rownames(). In the following description, compagny symboles are used.
+A data frame containing 24 time series. Dates are reported as rownames(). In the following description, company symboles are used.
\describe{
-\item{WMK}{Returns of WMK}
-\item{UIS}{Returns of UIS}
-\item{ORB}{Returns of ORB}
-\item{MAT}{Returns of MAT}
-\item{ABAX}{Returns of ABAX}
-\item{T}{Returns of T}
-\item{EMR}{Returns of EMR}
-\item{JCS}{Returns of JCS}
-\item{VOXX}{Returns of VOXX}
-\item{ZOOM}{Returns of ZOOM}
-\item{TDW}{Returns of TDW}
-\item{ROG}{Returns of ROG}
-\item{GGG}{Returns of GGG}
-\item{PC}{Returns of PC}
-\item{GCO}{Returns of GCO}
-\item{EBF}{Returns of EBF}
-\item{F}{Returns of F}
-\item{FNM}{Returns of FNM}
-\item{NHP}{Returns of NHP}
-\item{AA}{Returns of AA}
-\item{rf}{Risk-free rate,}
-\item{rm}{Return of the market portfolio of Fama-French,}
-\item{hml}{Factor High-Minus-Low of Fama-French,}
-\item{smb}{Factor Small-Minus-Big of Fama-French.}
+\item{WMK}{Returns of WEIS MARKETS INC}
+\item{UIS}{Returns of UNISYS CP NEW}
+\item{ORB}{Returns of ORBITAL SCIENCES CP}
+\item{MAT}{Returns of Mattel, Inc.}
+\item{ABAX}{Returns of ABAXIS, Inc.}
+\item{T}{Returns of AT&T INC.}
+\item{EMR}{Returns of EMERSON ELEC CO}
+\item{JCS}{Returns of Communications Systems Inc.}
+\item{VOXX}{Returns of Audiovox Corp.}
+\item{ZOOM}{Returns of ZOOM Technologies Inc.}
+\item{TDW}{Returns of TIDEWATER INC}
+\item{ROG}{Returns of Rogers Corporation}
+\item{GGG}{Returns of Graco Inc.}
+\item{PC}{Returns of Panasonic Corporation}
+\item{GCO}{Returns of Genesco Inc.}
+\item{EBF}{Returns of ENNIS, INC}
+\item{F}{Returns of FORD MOTOR CO}
+\item{FNM}{Returns of FANNIE MAE}
+\item{NHP}{Returns of NATIONWIDE HLTH PROP}
+\item{AA}{Returns of ALCOA INC}
+\item{rf}{Risk-free rate of Fama-French}
+\item{rm}{Return of the market portfolio of Fama-French}
+\item{hml}{Factor High-Minus-Low of Fama-French}
+\item{smb}{Factor Small-Minus-Big of Fama-French}
}
}
Modified: pkg/gmm/man/HAC.Rd
===================================================================
--- pkg/gmm/man/HAC.Rd 2009-09-03 21:15:09 UTC (rev 4)
+++ pkg/gmm/man/HAC.Rd 2009-12-03 03:14:37 UTC (rev 5)
@@ -7,7 +7,7 @@
\usage{
[TRUNCATED]
To get the complete diff run:
svnlook diff /svnroot/gmm -r 5
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