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factormodel: Factor Model Estimation Using Proxy Variables

Functions to estimate a factor model using discrete and continuous proxy variables. The function 'dproxyme' estimates a factor model of discrete proxy variables using an EM algorithm (Dempster, Laird, Rubin (1977) <doi:10.1111/j.2517-6161.1977.tb01600.x>; Hu (2008) <doi:10.1016/j.jeconom.2007.12.001>; Hu(2017) <doi:10.1016/j.jeconom.2017.06.002> ). The function 'cproxyme' estimates a linear factor model (Cunha, Heckman, and Schennach (2010) <doi:10.3982/ECTA6551>).

Version:1.0
Imports:dplyr,nnet,pracma, stats, utils,gtools
Suggests:knitr,rmarkdown
Published:2021-06-04
DOI:10.32614/CRAN.package.factormodel
Author:Yujung HwangORCID iD [aut, cre]
Maintainer:Yujung Hwang <yujungghwang at gmail.com>
License:GPL-3
NeedsCompilation:no
Materials:README
CRAN checks:factormodel results

Documentation:

Reference manual:factormodel.html ,factormodel.pdf
Vignettes:factormodel (source,R code)

Downloads:

Package source: factormodel_1.0.tar.gz
Windows binaries: r-devel:factormodel_1.0.zip, r-release:factormodel_1.0.zip, r-oldrel:factormodel_1.0.zip
macOS binaries: r-release (arm64):factormodel_1.0.tgz, r-oldrel (arm64):factormodel_1.0.tgz, r-release (x86_64):factormodel_1.0.tgz, r-oldrel (x86_64):factormodel_1.0.tgz

Reverse dependencies:

Reverse imports:bndovb

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=factormodelto link to this page.


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