High-Performance Open-Source Archive
Several causal effects are measured using least squares regressions and basis function approximations. Backward and forward selection methods based on different criteria are used to select the basis functions.
| Version: | 0.4-1 |
| Depends: | R (≥ 4.0.0) |
| Imports: | stats, sandwich, texreg, methods |
| Suggests: | knitr, rmarkdown |
| Published: | 2025-08-29 |
| DOI: | 10.32614/CRAN.package.causalSLSE |
| Author: | Pierre Chausse Developer [aut, cre], Mihai Giurcanu Developer [aut] |
| Maintainer: | Pierre Chausse Developer <pchausse at uwaterloo.ca> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | causalSLSE citation info |
| CRAN checks: | causalSLSE results |
| Reference manual: | causalSLSE.html , causalSLSE.pdf |
| Vignettes: |
Semiparametric Least Squares Inference for Causal Effects (source, R code) |
| Package source: | causalSLSE_0.4-1.tar.gz |
| Windows binaries: | r-devel: causalSLSE_0.4-1.zip, r-release: causalSLSE_0.4-1.zip, r-oldrel: causalSLSE_0.4-1.zip |
| macOS binaries: | r-release (arm64): causalSLSE_0.4-1.tgz, r-oldrel (arm64): causalSLSE_0.4-1.tgz, r-release (x86_64): causalSLSE_0.4-1.tgz, r-oldrel (x86_64): causalSLSE_0.4-1.tgz |
| Old sources: | causalSLSE archive |
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