[Depmix-commits] r337 - in tags: . release-0.1-0 release-0.1-0/R release-0.1-0/data release-0.1-0/inst release-0.1-0/inst/doc release-0.1-0/man

noreply at r-forge.r-project.org noreply at r-forge.r-project.org
Mon Feb 1 14:09:04 CET 2010


Author: ingmarvisser
Date: 2010-02-01 14:09:04 +0100 (Mon, 01 Feb 2010)
New Revision: 337

Added:
   tags/release-0.1-0/
   tags/release-0.1-0/COPYING
   tags/release-0.1-0/DESCRIPTION
   tags/release-0.1-0/NAMESPACE
   tags/release-0.1-0/R/
   tags/release-0.1-0/R/EM.R
   tags/release-0.1-0/R/allGenerics.R
   tags/release-0.1-0/R/depmix.R
   tags/release-0.1-0/R/depmix.fitted.R
   tags/release-0.1-0/R/fb.R
   tags/release-0.1-0/R/llratio.R
   tags/release-0.1-0/R/lystig.R
   tags/release-0.1-0/R/responses.R
   tags/release-0.1-0/R/viterbi.R
   tags/release-0.1-0/README
   tags/release-0.1-0/data/
   tags/release-0.1-0/data/balance.rda
   tags/release-0.1-0/data/speed.rda
   tags/release-0.1-0/inst/
   tags/release-0.1-0/inst/CITATION
   tags/release-0.1-0/inst/doc/
   tags/release-0.1-0/inst/doc/depmix-intro.pdf
   tags/release-0.1-0/man/
   tags/release-0.1-0/man/balance.Rd
   tags/release-0.1-0/man/depmix-class.Rd
   tags/release-0.1-0/man/depmix-internal.Rd
   tags/release-0.1-0/man/depmix.Rd
   tags/release-0.1-0/man/depmix.fit.Rd
   tags/release-0.1-0/man/depmix.fitted-class.Rd
   tags/release-0.1-0/man/llratio.Rd
   tags/release-0.1-0/man/response-class.Rd
   tags/release-0.1-0/man/response-classes.Rd
   tags/release-0.1-0/man/response.Rd
   tags/release-0.1-0/man/speed.Rd
Log:
...

Added: tags/release-0.1-0/COPYING
===================================================================
--- tags/release-0.1-0/COPYING	                        (rev 0)
+++ tags/release-0.1-0/COPYING	2010-02-01 13:09:04 UTC (rev 337)
@@ -0,0 +1,340 @@
+		    GNU GENERAL PUBLIC LICENSE
+		       Version 2, June 1991
+
+ Copyright (C) 1989, 1991 Free Software Foundation, Inc.
+     59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+			    Preamble
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+  The licenses for most software are designed to take away your
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+    Copyright (C) <year>  <name of author>
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+    it under the terms of the GNU General Public License as published by
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+Public License instead of this License.


Property changes on: tags/release-0.1-0/COPYING
___________________________________________________________________
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   + native

Added: tags/release-0.1-0/DESCRIPTION
===================================================================
--- tags/release-0.1-0/DESCRIPTION	                        (rev 0)
+++ tags/release-0.1-0/DESCRIPTION	2010-02-01 13:09:04 UTC (rev 337)
@@ -0,0 +1,12 @@
+Package: depmixS4
+Version: 0.1-0
+Date: 2008-03-23
+Title: Dependent Mixture Models
+Author: Ingmar Visser <i.visser at uva.nl>, Maarten Speekenbrink <m.speekenbrink at ucl.ac.uk>
+Maintainer: Ingmar Visser <i.visser at uva.nl>
+Depends: R (>= 2.6.0), nnet, methods
+Suggests: Rdonlp2
+Description: Fit latent (hidden) Markov models on mixed categorical and continuous (timeseries)
+   data, otherwise known as dependent mixture models
+License: GPL (>=2)
+URL: http://depmix.r-forge.r-project.org/


Property changes on: tags/release-0.1-0/DESCRIPTION
___________________________________________________________________
Name: svn:eol-style
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Added: tags/release-0.1-0/NAMESPACE
===================================================================
--- tags/release-0.1-0/NAMESPACE	                        (rev 0)
+++ tags/release-0.1-0/NAMESPACE	2010-02-01 13:09:04 UTC (rev 337)
@@ -0,0 +1,47 @@
+import(methods)
+
+importFrom(stats, predict)
+importFrom(stats4, AIC, BIC, logLik, plot, summary)
+
+export(	
+	makeDepmix,
+	lystig,
+	fb,
+	llratio,
+	multinomial,
+	em,
+	viterbi,
+	viterbi.fb,
+	mlogit
+)
+
+exportClasses(
+	depmix,
+	depmix.fitted,
+	response,
+	GLMresponse,
+	transInit
+)
+
+exportMethods(
+	AIC,
+	BIC,
+	fit,
+	npar,
+	freepars,
+	getdf,
+	nobs,
+	nresp,
+	ntimes,
+	depmix,
+	posterior,
+	GLMresponse,
+	transInit,
+	setpars,
+	getpars,
+	logLik,
+	predict,
+	dens,
+	show,
+	summary
+)


Property changes on: tags/release-0.1-0/NAMESPACE
___________________________________________________________________
Name: svn:eol-style
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Added: tags/release-0.1-0/R/EM.R
===================================================================
--- tags/release-0.1-0/R/EM.R	                        (rev 0)
+++ tags/release-0.1-0/R/EM.R	2010-02-01 13:09:04 UTC (rev 337)
@@ -0,0 +1,90 @@
+# 
+# Maarten Speekenbrink 23-3-2008
+# 
+
+em <- function(object,maxit=100,tol=1e-6,verbose=FALSE,...) {
+	
+	if(!is(object,"depmix")) stop("object is not of class 'depmix'")
+	
+	ns <- object at nstates
+	
+	ntimes <- ntimes(object)
+	lt <- length(ntimes)
+	et <- cumsum(ntimes)
+	bt <- c(1,et[-lt]+1)
+	
+	converge <- FALSE
+	j <- 0
+	
+	A <- object at trDens
+	B <- apply(object at dens,c(1,3),prod)
+	init <- object at init
+	
+	# initial expectation
+	fbo <- fb(init=object at init,A=object at trDens,B=apply(object at dens,c(1,3),prod),ntimes=ntimes(object))
+	LL <- fbo$logLike
+	LL.old <- LL + 1
+	
+	while(j <= maxit & !converge) {
+				
+		# maximization
+				
+		# should become object at prior <- fit(object at prior)
+		object at prior@y <- fbo$gamma[bt,,drop=FALSE]
+		object at prior <- fit(object at prior, w=NULL,ntimes=NULL)
+		object at init <- dens(object at prior)
+				
+		trm <- matrix(0,ns,ns)
+		for(i in 1:ns) {
+			
+			if(max(ntimes(object)>1)) { # skip transition parameters update in case of latent class model
+				if(!object at stationary) {
+					object at transition[[i]]@y <- fbo$xi[,,i]/fbo$gamma[,i]
+					object at transition[[i]] <- fit(object at transition[[i]],w=as.matrix(fbo$gamma[,i]),ntimes=ntimes(object)) # check this
+				} else {
+					for(k in 1:ns) {
+						trm[i,k] <- sum(fbo$xi[-c(et),k,i])/sum(fbo$gamma[-c(et),i])
+					}
+					# FIX THIS; it will only work with a specific trinModel
+					object at transition[[i]]@parameters$coefficients <- object at transition[[i]]@family$linkfun(trm[i,],base=object at transition[[i]]@family$base)
+				}
+				
+				# update trDens slot of the model
+				object at trDens[,,i] <- dens(object at transition[[i]])
+			}
+			
+			for(k in 1:nresp(object)) {
+				object at response[[i]][[k]] <- fit(object at response[[i]][[k]],w=fbo$gamma[,i])
+				# update dens slot of the model
+				object at dens[,k,i] <- dens(object at response[[i]][[k]])
+			}
+		}
+		
+		# expectation
+		fbo <- fb(init=object at init,A=object at trDens,B=apply(object at dens,c(1,3),prod),ntimes=ntimes(object))
+		LL <- fbo$logLike
+				
+		if(verbose&((j%%5)==0)) cat("iteration",j,"logLik:",LL,"\n")
+		if( (LL >= LL.old) & (LL - LL.old < tol))  {
+			cat("iteration",j,"logLik:",LL,"\n")
+			converge <- TRUE
+		}
+		
+		LL.old <- LL
+		j <- j+1
+		
+	}
+	
+	class(object) <- "depmix.fitted"
+	if(converge) object at message <- "Log likelihood converged to within tol."
+	else object at message <- "'maxit' iterations reached in EM without convergence."
+	
+	# no constraints in EM
+	object at conMat <- matrix()
+	
+	# what do we want in slot posterior?
+	# this is moved to depmix.fit
+	# object at posterior <- viterbi(object)
+	
+	object
+}


Property changes on: tags/release-0.1-0/R/EM.R
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Name: svn:eol-style
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Added: tags/release-0.1-0/R/allGenerics.R
===================================================================
--- tags/release-0.1-0/R/allGenerics.R	                        (rev 0)
+++ tags/release-0.1-0/R/allGenerics.R	2010-02-01 13:09:04 UTC (rev 337)
@@ -0,0 +1,62 @@
+
+# 
+# Ingmar Visser, 23-3-2008
+# 
+
+.First.lib <- function(lib, pkg) {
+	require(nnet)
+}
+
+.Last.lib <- function(libpath) {}
+
+# Guess what: all generics
+
+setGeneric("depmix", function(response,data=NULL,nstates,transition=~1,family=gaussian(),prior=~1,initdata=NULL,
+		respstart=NULL,trstart=NULL,instart=NULL,ntimes=NULL, ...) standardGeneric("depmix"))
+
+setGeneric("GLMresponse", function(formula, data = NULL, family = gaussian(), pstart =
+                 NULL, fixed = NULL, prob=TRUE, ...) standardGeneric("GLMresponse"))
+
+setGeneric("transInit", function(formula, nstates, data = NULL, family = multinomial(),
+                 pstart = NULL, fixed = NULL, prob=TRUE, ...) standardGeneric("transInit"))
+
+setGeneric("npar", function(object, ...) standardGeneric("npar"))
+
+setGeneric("nobs", function(object, ...) standardGeneric("nobs"))
+
+setGeneric("ntimes", function(object, ...) standardGeneric("ntimes"))
+
+setGeneric("nstates", function(object, ...) standardGeneric("nstates"))
+
+setGeneric("nresp", function(object, ...) standardGeneric("nresp"))
+
+setGeneric("freepars", function(object, ...) standardGeneric("freepars"))
+
+setGeneric("logLik", function(object, ...) standardGeneric("logLik"))
+
+setGeneric("fit", function(object, ...) standardGeneric("fit"))
+
+setGeneric("posterior", function(object, ...) standardGeneric("posterior"))
+
+setGeneric("predict", function(object, ...) standardGeneric("predict"))
+
+setGeneric("AIC", function(object, ..., k=2) standardGeneric("AIC"))
+
+setGeneric("BIC", function(object, ...) standardGeneric("BIC"))
+
+setGeneric("getdf",function(object) standardGeneric("getdf"))
+
+setGeneric("setpars", function(object,values,which="pars",...) standardGeneric("setpars"))
+
+setGeneric("getpars", function(object,which="pars",...) standardGeneric("getpars"))
+
+setGeneric("logDens",function(object,...) standardGeneric("logDens"))
+
+setGeneric("dens",function(object,...) standardGeneric("dens"))
+
+setGeneric("summary")
+
+setGeneric("ntimes", function(object, ...) standardGeneric("ntimes"))
+
+setGeneric("nresp", function(object, ...) standardGeneric("nresp"))
+


Property changes on: tags/release-0.1-0/R/allGenerics.R
___________________________________________________________________
Name: svn:eol-style
   + native

Added: tags/release-0.1-0/R/depmix.R
===================================================================
--- tags/release-0.1-0/R/depmix.R	                        (rev 0)
+++ tags/release-0.1-0/R/depmix.R	2010-02-01 13:09:04 UTC (rev 337)
@@ -0,0 +1,377 @@
+
+# 
+# Ingmar Visser, 23-3-2008
+# 
+
+# 
+# CLASSES & METHODS FOR DEPMIX OBJECTS AND FIT FUNCTIONS
+# 
+
+# 
+# DEPMIX CLASS
+# 
+
+setClass("depmix",
+	representation(response="list", # response models
+		transition="list", # transition models (multinomial logistic)
+		prior="ANY", # the prior model (multinomial logistic)
+		dens="array", # response densities (B)
+		trDens="array", # transition densities (A)
+		init="array", # usually called pi 
+		stationary="logical",
+		ntimes="numeric",
+		nstates="numeric",
+		nresp="numeric",
+		npars="numeric" # number of parameters
+	)
+)
+
+# 
+# METHODS
+# 
+
+# TODO: change print and add summary method for depmix objects
+
+# CONSTRUCTORS
+
+# the main function constructing a depmix model with full information, ie all models already in place
+# this function is probably not ever called by users
+
+makeDepmix <- function(response, transition, prior, ntimes=NULL, stationary=TRUE, ...) {
+		
+	nstates <- length(response)
+	nresp <- length(response[[1]])
+	
+	# make appropriate ntimes
+	if(is.null(ntimes)) {
+		ntimes <- nrow(response[[1]][[1]]@y)
+	}
+	
+	# count the number of parameters	
+	npars <- npar(prior) 
+	for(i in 1:nstates) {
+		npars <- npars + sum(sapply(response[[i]],npar))
+	}
+	npars <- npars + sum(sapply(transition,npar))
+	
+	# make appropriate array for transition densities
+	nt <- sum(ntimes)
+	if(stationary) trDens <- array(0,c(1,nstates,nstates))
+	else trDens <- array(0,c(nt,nstates,nstates))
+	
+	# make appropriate array for response densities
+	dens <- array(,c(nt,nresp,nstates))
+	
+	# compute observation and transition densities
+	for(i in 1:nstates) {
+		for(j in 1:nresp) {
+			dens[,j,i] <- dens(response[[i]][[j]]) # remove this response as an argument from the call to setpars
+		}
+		trDens[,,i] <- dens(transition[[i]])
+	}
+	
+	# compute initial state probabilties
+	init <- dens(prior)
+	
+	new("depmix",response=response,transition=transition,prior=prior,
+		dens=dens,trDens=trDens,init=init,stationary=stationary,
+		ntimes=ntimes,nstates=nstates,nresp=nresp,npars=npars)
+	
+}
+
+#
+# UNIVARIATE AND MULTIVARIATE MARKOV MIXTURE OF GLM'S
+# 
+
+setMethod("depmix",
+	signature(response="ANY"),
+	function(response, data=NULL, nstates, transition=~1, family=gaussian(), prior=~1, initdata=NULL,
+		respstart=NULL, trstart=NULL, instart=NULL, ntimes=NULL, ...) {
+		
+		if(is.null(data)) {
+			if(is.null(ntimes)) stop("'ntimes' must be provided if not in the data")
+		} else {
+			if(is.null(attr(data,"ntimes"))) {
+				if(is.null(ntimes)) ntimes <- nrow(data)
+			} else {
+				ntimes <- attr(data,"ntimes")
+			}
+			if(sum(ntimes)!=nrow(data)) stop("'ntimes' and data do not match")
+		}
+		
+		# make response models
+		response <- makeResponseModels(response=response,data=data,nstates=nstates,family=family,values=respstart)
+		
+		# make transition models
+		stationary=FALSE
+		if(transition==~1) stationary=TRUE
+		transition <- makeTransModels(nstates=nstates,formula=transition,data=data,stationary=stationary,values=trstart)
+		
+		# make prior model
+		prior <- makePriorModel(nstates=nstates,ncases=length(ntimes),formula=prior,data=initdata,values=instart)
+		
+		# call main depmix with all these models, ntimes and stationary
+		model <- makeDepmix(response=response,transition=transition,prior=prior,ntimes=ntimes,stationary=stationary)
+		
+		# deal with starting values here!!!!!!
+		
+		return(model)
+	}
+)
+
+# 
+# internal functions
+# 
+
+makeResponseModels <- function(response,data=NULL,nstates,family,values=NULL,...) {
+	
+	resp <- response
+	response <- list()
+	
+	st=FALSE
+	if(!is.null(values)) st=TRUE
+	
+	# univariate response data
+	if(class(resp)=="formula") {
+		nresp <- 1
+		for(i in 1:nstates) {
+			response[[i]] <- list()
+			response[[i]][[1]] <- GLMresponse(resp,data=data,family=family)
+			if(st) {
+				bp <- npar(response[[i]][[1]])
+				response[[i]][[1]] <- GLMresponse(resp,data=data,family=family,pstart=values[1:bp])
+				bp <- bp+1
+				values <- values[bp:length(values)]
+			}
+		}
+	}
+	
+	# multi variate response data
+	if(is.list(resp)) {
+		nresp <- length(resp)
+		for(i in 1:nstates) {
+			response[[i]] <- list()
+			for(j in 1:nresp) {
+				response[[i]][[j]] <- GLMresponse(resp[[j]],data=data,family=family[[j]])
+				if(st) {
+					bp <- npar(response[[i]][[j]])
+					response[[i]][[j]] <- GLMresponse(resp[[j]],data=data,family=family[[j]],pstart=values[1:bp])
+					bp <- bp+1
+					values <- values[bp:length(values)]
+				}
+			}
+		}
+	}
+	
+	return(response)
+}
+
+makeTransModels <- function(nstates,formula=~1,data=NULL,stationary,values=NULL, ...) {
+	
+	# defaults that possibly need some work at some point 
+	# FIX ME
+	base=1
+	prob=TRUE
+		
+	if(!stationary&is.null(data)) stop("non-stationary transition models needs data argument")
+		
+	# starting values	
+	tst <- FALSE
+	if(!is.null(values)) {
+		tst <- TRUE
+		values <- matrix(values,nstates,byrow=TRUE)
+	}
+		
+	models <- list()
+	for(i in 1:nstates) {
+		if(tst) {
+			# in the case of stationary models we do not need data?!?!?!?!?!
+			if(stationary) models[[i]] <- transInit(formula,multinomial(base=base),data=data.frame(1),nstates=nstates,pstart=values[i,],prob=prob)
+			else models[[i]] <- transInit(formula,multinomial(base=base),data=data,nstates=nstates,pstart=values[i,],prob=prob)
+		} else {
+			if(stationary) models[[i]] <- transInit(formula,multinomial(base=base),data=data.frame(1),nstates=nstates,prob=FALSE)
+			else models[[i]] <- transInit(formula,multinomial(base=base),data=data,nstates=nstates,prob=FALSE)
+		}
+	}
+	
+	return(models)
+}
+
+makePriorModel <- function(nstates,ncases,formula=~1,data=NULL,values=NULL, ...) {
+	
+	# these arguments need to be added at some point FIX ME
+	base=1
+# 	prob=TRUE
+	
+	# initial probabilities model, depending on covariates init(=~1 by default)
+	if(formula==~1) {
+		initModel <- transInit(~1,data=data.frame(rep(1,ncases)),nst=nstates,family=multinomial(),pstart=values)
+	} else {
+		if(is.null(data)) {
+			stop("'Argument initdata missing while the init model is non-trivial")
+		} else {
+			initModel <- transInit(formula,data=data,nst=nstates,family=multinomial(),pstart=values)
+		}	
+	}
+	
+	return(initModel)
+}
+
+setMethod("show","depmix",
+	function(object) {
+		cat("Initial state probabilties model \n")
+		print(object at prior)
+		cat("\n")
+		for(i in 1:object at nstates) {
+			cat("Transition model for state (component)", i,"\n")
+			print(object at transition[[i]])
+			cat("\n")
+		}
+		cat("\n")
+		for(i in 1:object at nstates) {
+			cat("Response model(s) for state", i,"\n\n")
+			for(j in 1:object at nresp) {
+				cat("Response model for response",j,"\n")
+				print(object at response[[i]][[j]])
+				cat("\n")
+			}
+			cat("\n")
+		}
+	}
+)
+
+setMethod("getpars","depmix",
+	function(object,which="pars",...) {
+		parameters <- getpars(object at prior,which=which)
+		for(i in 1:object at nstates) {
+			parameters <- c(parameters,getpars(object at transition[[i]],which=which))
+		}
+		for(i in 1:object at nstates) {
+			for(j in 1:object at nresp) {
+				parameters <- c(parameters,getpars(object at response[[i]][[j]],which=which))
+			}
+		}
+		return(parameters)
+	}
+)
+
[TRUNCATED]

To get the complete diff run:
    svnlook diff /svnroot/depmix -r 337


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