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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 |
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.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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.