Package: endogeneity 2.1.3

Jing Peng

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:Jing Peng

endogeneity_2.1.3.tar.gz
endogeneity_2.1.3.tar.gz(r-4.5-noble)endogeneity_2.1.3.tar.gz(r-4.4-noble)
endogeneity_2.1.3.tgz(r-4.4-emscripten)endogeneity_2.1.3.tgz(r-4.3-emscripten)
endogeneity.pdf |endogeneity.html
endogeneity/json (API)

# Install 'endogeneity' in R:
install.packages('endogeneity', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 2 scripts 272 downloads 12 exports 13 dependencies

Last updated 1 years agofrom:445d688bb1. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 14 2024
R-4.5-linux-x86_64OKOct 14 2024

Exports:bilinearbiprobitbiprobit_latentbiprobit_partiallinear_probitplnpln_linearpln_probitprobit_linearprobit_linear_latentprobit_linear_partialprobit_linearRE

Dependencies:data.tabledigestgenericslatticeMASSmaxLikmiscToolspbivnormRcppRcppArmadillosandwichstatmodzoo

Recursive Two-Stage Models to Address Endogeneity

Rendered fromvignette.Rmdusingknitr::rmarkdownon Oct 14 2024.

Last update: 2023-08-21
Started: 2022-12-03