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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
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

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=causalSLSE to link to this page.

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.