Package: factormodel 1.0
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>).
Authors:
factormodel_1.0.tar.gz
factormodel_1.0.zip(r-4.7)factormodel_1.0.zip(r-4.6)factormodel_1.0.zip(r-4.5)
factormodel_1.0.tgz(r-4.6-any)factormodel_1.0.tgz(r-4.5-any)
factormodel_1.0.tar.gz(r-4.7-any)factormodel_1.0.tar.gz(r-4.6-any)
factormodel_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
factormodel/json (API)
| # Install 'factormodel' in R: |
| install.packages('factormodel', repos = c('https://yujunghwang.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/yujunghwang/factormodel/issues
Last updated from:1f3f0fc544. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 142 | ||
| source / vignettes | OK | 210 | ||
| linux-release-x86_64 | NOTE | 111 | ||
| macos-release-arm64 | NOTE | 122 | ||
| macos-oldrel-arm64 | NOTE | 163 | ||
| windows-devel | NOTE | 65 | ||
| windows-release | NOTE | 77 | ||
| windows-oldrel | NOTE | 69 | ||
| wasm-release | OK | 98 |
Exports:cproxymedproxymemakeDummyweighted.covweighted.var
Dependencies:clidplyrgenericsgluegtoolslifecyclemagrittrnnetpillarpkgconfigpracmaR6rlangtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| cproxyme | cproxyme |
| dproxyme | dproxyme |
| makeDummy | makeDummy |
| weighted.cov | weighted.cov |
| weighted.var | weighted.var |
