Package: LARF 1.4
Weihua An
LARF: Local Average Response Functions for Instrumental Variable Estimation of Treatment Effects
Provides instrumental variable estimation of treatment effects when both the endogenous treatment and its instrument are binary. Applicable to both binary and continuous outcomes.
Authors:
LARF_1.4.tar.gz
LARF_1.4.tar.gz(r-4.5-noble)LARF_1.4.tar.gz(r-4.4-noble)
LARF_1.4.tgz(r-4.4-emscripten)LARF_1.4.tgz(r-4.3-emscripten)
LARF.pdf |LARF.html✨
LARF/json (API)
| # Install 'LARF' in R: |
| install.packages('LARF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- c401k - C401k
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:a2525b8f21. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 25 2024 |
| R-4.5-linux | OK | Oct 25 2024 |
Exports:cvlmGenerate.Powerslarflarf.fitnpsepredict.larfprint.larfprint.summary.larfsummary.larfvcov.larf
Dependencies:Formula
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| c401k | c401k |
| Cross-validation of a Linear Regression Model | cvlm |
| Generating Powers Series of Variables | Generate.Powers |
| Local Average Response Functions for Instrumental Variable Estimation of Treatment Effects | larf |
| Fitting the Local Average Response Function | larf.fit |
| Nonparametric Power Series Estimation | npse |
| Predictions Based on the Estimated LARF | predict.larf |
| Print Results of the Estimated LARF | print.larf |
| Summary of the Estimated LARF | print.summary.larf summary.larf |
| Variance Covariance Matrix of the Parameters in the Estimated LARF | vcov.larf |