Package: causalSLSE
Version: 0.3-1
Date: 2024-01-14
Title: Semiparametric Least Squares Inference for Causal Effects
Authors@R: c(person("Pierre Chausse", "Developer", role = c("aut", "cre"),
                     email = "pchausse@uwaterloo.ca"),
             person("Mihai Giurcanu", "Developer", role = "aut",
	             email = "giurcanu@uchicago.edu"))
Description: 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.
Depends: R (>= 4.0.0)
Suggests: knitr, rmarkdown
Collate: 'cslse.R' 'slse.R' 'Fcslse.R'
Imports: stats, sandwich, texreg, methods
License: GPL (>= 2)
NeedsCompilation: yes
VignetteBuilder: knitr
Packaged: 2024-01-16 20:43:38 UTC; pierrechausse
Author: Pierre Chausse Developer [aut, cre],
  Mihai Giurcanu Developer [aut]
Maintainer: Pierre Chausse Developer <pchausse@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2024-01-17 11:32:07 UTC
Built: R 4.2.3; aarch64-apple-darwin20; 2024-01-17 14:54:25 UTC; unix
Archs: causalSLSE.so.dSYM
