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 Hwang | 
| Maintainer: | Yujung Hwang <yujungghwang at gmail.com> | 
| License: | GPL-3 | 
| NeedsCompilation: | no | 
| Materials: | README | 
| CRAN checks: | factormodel results | 
| Reference manual: | factormodel.html , factormodel.pdf | 
| Vignettes: | factormodel (source, R code) | 
| 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 imports: | bndovb | 
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