Ajout de quelques fonctions
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6
.Rbuildignore
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.Rbuildignore
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^.*\.Rproj$
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^\.Rproj\.user$
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.gitignore
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.project
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.git
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.settings
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.gitignore
vendored
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.gitignore
vendored
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# Example code in package build process
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*-Ex.R
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.Rproj.user
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.project
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.project
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<?xml version="1.0" encoding="UTF-8"?>
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<projectDescription>
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<name>GMMStuff</name>
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<comment></comment>
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<projects>
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</projects>
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<buildSpec>
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<buildCommand>
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<name>de.walware.statet.r.builders.RSupport</name>
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<arguments>
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</arguments>
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</buildCommand>
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</buildSpec>
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<natures>
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<nature>de.walware.statet.base.StatetNature</nature>
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<nature>de.walware.statet.r.RNature</nature>
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<nature>de.walware.statet.r.RPkgNature</nature>
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</natures>
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</projectDescription>
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2
.settings/de.walware.r.core.prefs
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.settings/de.walware.r.core.prefs
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RProjectBuild/Package.name=GMMStuff
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eclipse.preferences.version=1
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DESCRIPTION
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DESCRIPTION
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Package: GMMStuff
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Title: GMM Stuff
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Version: 0.1
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Date: 2014-02-11
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Author: Francois Pelletier
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Maintainer: Francois Pelletier <francois@francoispelletier.org>
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Description: This is a package gathering different functions to work with
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GMM
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License: LGPL-3
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0
NAMESPACE
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NAMESPACE
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R/covariance.GMM.R
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R/covariance.GMM.R
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# Estimated covariance matrix
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#
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# Author: Francois Pelletier
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#
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# LGPL-3.0
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###############################################################################
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#' Estimated covariance matrix
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#' @param conditions.vector Vector of moment conditions
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#' @param n Sample size
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#' @param ... Parameters of the vector of moment conditions
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#' @return A square covariance matrix
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#'
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#' @author François Pelletier
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gmmGAL.mu.vcov <- function(conditions.vector,n,...)
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{
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t(conditions.vector(...)) %*% conditions.vector(...) / n
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}
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24
R/fourmoments.gmm.vector.R
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R/fourmoments.gmm.vector.R
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# GMM vector for 4 first central moments conditions
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#
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# Author: Francois Pelletier
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#
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# LGPL-3.0
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###############################################################################
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#' GMM vector for 4 first central moments conditions
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#' @param param Estimated parameters
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#' @param sample Data Sample
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#' @param meanf Mean function
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#' @param variancef Variance function
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#' @param skewnessf Skewness function
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#' @param kurtosisf Kurtosis function
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#' @return A four column matrix of differences
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#'
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#' @author François Pelletier
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fourmoments.gmm.vector <- function(param,sample,meanf,variancef,skewnessf,kurtosisf)
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{
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cbind(X-meanf(param),
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(X-meanf(param))^2 - variancef(param),
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(X-meanf(param))^3/variancef(param)^(3/2) - skewnessf(param),
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(X-meanf(param))^4/variancef(param)^(2) - kurtosisf(param))
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}
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20
R/mean.variance.gmm.vector.R
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R/mean.variance.gmm.vector.R
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# GMM vector for mean and variance moment conditions
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#
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# Author: Francois Pelletier
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#
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# LGPL-3.0
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###############################################################################
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#' GMM vector for mean and variance moment conditions
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#' @param param Estimated parameters
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#' @param sample Data Sample
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#' @param meanf Mean function
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#' @param variancef Variance function
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#' @return A two column matrix of differences
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#'
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#' @author François Pelletier
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mean.variance.gmm.vector <- function(param,sample,meanf,variancef)
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{
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cbind(X-meanf(param),(X-meanf(param))^2 - variancef(param))
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}
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18
R/objective.GMM.R
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R/objective.GMM.R
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# Objective function for the GMM method
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#
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# Author: Francois Pelletier
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#
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# LGPL-3.0
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###############################################################################
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#' Objective function for the GMM method
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#' @param conditions.vector Vector of moment conditions
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#' @param ... Parameters of the vector of moment conditions
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#' @param W Weighting matrix
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#' @return A scalar value
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#'
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#' @author François Pelletier
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obj.gmmGAL.mu <- function(conditions.vector,...,W=diag(length(conditions.vector)))
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{
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colMeans(conditions.vector(...)) %*% ginv(W) %*% colMeans(conditions.vector(...))
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}
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29
man/fourmoments.gmm.vector.Rd
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man/fourmoments.gmm.vector.Rd
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\name{fourmoments.gmm.vector}
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\alias{fourmoments.gmm.vector}
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\title{GMM vector for 4 first central moments conditions}
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\usage{
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fourmoments.gmm.vector(param, sample, meanf, variancef, skewnessf, kurtosisf)
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}
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\arguments{
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\item{param}{Estimated parameters}
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\item{sample}{Data Sample}
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\item{meanf}{Mean function}
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\item{variancef}{Variance function}
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\item{skewnessf}{Skewness function}
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\item{kurtosisf}{Kurtosis function}
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}
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\value{
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A four column matrix of differences
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}
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\description{
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GMM vector for 4 first central moments conditions
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}
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\author{
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François Pelletier
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}
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23
man/gmmGAL.mu.vcov.Rd
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man/gmmGAL.mu.vcov.Rd
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\name{gmmGAL.mu.vcov}
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\alias{gmmGAL.mu.vcov}
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\title{Estimated covariance matrix}
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\usage{
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gmmGAL.mu.vcov(conditions.vector, n, ...)
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}
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\arguments{
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\item{conditions.vector}{Vector of moment conditions}
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\item{n}{Sample size}
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\item{...}{Parameters of the vector of moment conditions}
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}
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\value{
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A square covariance matrix
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}
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\description{
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Estimated covariance matrix
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}
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\author{
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François Pelletier
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}
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man/mean.variance.gmm.vector.Rd
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man/mean.variance.gmm.vector.Rd
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\name{mean.variance.gmm.vector}
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\alias{mean.variance.gmm.vector}
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\title{GMM vector for mean and variance moment conditions}
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\usage{
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\method{mean}{variance.gmm.vector}(param, sample, meanf, variancef)
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}
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\arguments{
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\item{param}{Estimated parameters}
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\item{sample}{Data Sample}
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\item{meanf}{Mean function}
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\item{variancef}{Variance function}
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}
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\value{
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A two column matrix of differences
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}
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\description{
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GMM vector for mean and variance moment conditions
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}
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\author{
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François Pelletier
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}
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man/obj.gmmGAL.mu.Rd
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man/obj.gmmGAL.mu.Rd
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\name{obj.gmmGAL.mu}
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\alias{obj.gmmGAL.mu}
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\title{Objective function for the GMM method}
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\usage{
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obj.gmmGAL.mu(conditions.vector, ..., W = diag(length(conditions.vector)))
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}
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\arguments{
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\item{conditions.vector}{Vector of moment conditions}
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\item{...}{Parameters of the vector of moment conditions}
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\item{W}{Weighting matrix}
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}
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\value{
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A scalar value
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}
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\description{
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Objective function for the GMM method
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}
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\author{
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François Pelletier
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}
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