Package: endogeneity 2.1.6
endogeneity: Recursive Two-Stage Models to Address Endogeneity
Various recursive two-stage models to address the endogeneity issue of treatment variables in observational study or mediators in experiments. The details of the models are discussed in Peng (2023) <doi:10.1287/isre.2022.1113>.
Authors:
endogeneity_2.1.6.tar.gz
endogeneity_2.1.6.zip(r-4.7-x86_64)endogeneity_2.1.6.zip(r-4.6-x86_64)endogeneity_2.1.6.zip(r-4.5-x86_64)
endogeneity_2.1.6.tgz(r-4.6-x86_64)endogeneity_2.1.6.tgz(r-4.6-arm64)endogeneity_2.1.6.tgz(r-4.5-x86_64)endogeneity_2.1.6.tgz(r-4.5-arm64)
endogeneity_2.1.6.tar.gz(r-4.7-arm64)endogeneity_2.1.6.tar.gz(r-4.7-x86_64)endogeneity_2.1.6.tar.gz(r-4.6-arm64)endogeneity_2.1.6.tar.gz(r-4.6-x86_64)
endogeneity_2.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
endogeneity/json (API)
| # Install 'endogeneity' in R: |
| install.packages('endogeneity', repos = c('https://jnpeng.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:9fc7aac189. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 120 | ||
| linux-devel-x86_64 | OK | 140 | ||
| source / vignettes | OK | 217 | ||
| linux-release-arm64 | OK | 156 | ||
| linux-release-x86_64 | OK | 128 | ||
| macos-release-arm64 | OK | 121 | ||
| macos-release-x86_64 | OK | 205 | ||
| macos-oldrel-arm64 | OK | 124 | ||
| macos-oldrel-x86_64 | OK | 171 | ||
| windows-devel | OK | 123 | ||
| windows-release | OK | 116 | ||
| windows-oldrel | OK | 144 | ||
| wasm-release | OK | 118 |
Exports:bilinearbiprobitbiprobit_latentbiprobit_partiallinear_probitplnpln_linearpln_probitprobit_linearprobit_linear_latentprobit_linear_partialprobit_linearRE
Dependencies:data.tabledigestgenericslatticeMASSmaxLikmiscToolspbivnormRcppRcppArmadillosandwichstatmodzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Recusrive Bivariate Linear Model | bilinear |
| Recusrive Bivariate Probit Model | biprobit |
| Recursive Bivariate Probit Model with Latent First Stage | biprobit_latent |
| Recursive Bivariate Probit Model with Partially Observed First Stage | biprobit_partial |
| Recursive two-stage models to address endogeneity | endogeneity |
| Recursive Linear-Probit Model | linear_probit |
| Poisson Lognormal Model | pln |
| Recursive PLN-Linear Model | pln_linear |
| Recursive PLN-Probit Model | pln_probit |
| Recursive Probit-Linear Model | probit_linear |
| Recursive Probit-Linear Model with Latent First Stage | probit_linear_latent |
| Recursive Probit-Linear Model with Partially Observed First Stage | probit_linear_partial |
| Recursive Probit-LinearRE Model | probit_linearRE |
