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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: | 0.3-1 |
| Depends: | R (≥ 4.0.0) |
| Imports: | stats, sandwich, texreg, methods |
| Suggests: | knitr, rmarkdown |
| Published: | 2024-01-17 |
| 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.pdf |
| Vignettes: |
Semiparametric Least Squares Inference for Causal Effects |
| Package source: | causalSLSE_0.3-1.tar.gz |
| Windows binaries: | r-devel: causalSLSE_0.3-1.zip, r-release: causalSLSE_0.3-1.zip, r-oldrel: causalSLSE_0.3-1.zip |
| macOS binaries: | r-release (arm64): causalSLSE_0.3-1.tgz, r-oldrel (arm64): causalSLSE_0.3-1.tgz, r-release (x86_64): causalSLSE_0.3-1.tgz, r-oldrel (x86_64): causalSLSE_0.3-1.tgz |
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