causalSLSE: Semiparametric Least Squares Inference for Causal Effects

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

Documentation:

Reference manual:	causalSLSE.pdf
Vignettes:	Semiparametric Least Squares Inference for Causal Effects

Downloads:

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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