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causalSLSE  

Semiparametric Least Squares Inference for Causal Effects
View on CRAN: Click here


Download and install causalSLSE package within the R console
Install from CRAN:
install.packages("causalSLSE")

Install from Github:
library("remotes")
install_github("cran/causalSLSE")

Install by package version:
library("remotes")
install_version("causalSLSE", "0.3-1")



Attach the package and use:
library("causalSLSE")
Maintained by
Pierre Chausse Developer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-01-17
Latest Update: 2024-01-17
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.
How to cite:
Pierre Chausse Developer (2024). causalSLSE: Semiparametric Least Squares Inference for Causal Effects. R package version 0.3-1, https://cran.r-project.org/web/packages/causalSLSE. Accessed 29 Jan. 2025.
Previous versions and publish date:
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Other packages that cited causalSLSE R package
View causalSLSE citation profile
Other R packages that causalSLSE depends, imports, suggests or enhances
Complete documentation for causalSLSE
Functions, R codes and Examples using the causalSLSE R package
Some associated functions: asModel . causalSLSE . cslseModel . estSLSE . extract-causalslse-method . extract-slseFit-method . llSplines . nsw . plot . predict . print . selSLSE . simDat1 . simDat2 . simDat3 . simDat4 . simDat5 . slseKnots . summary . update . 
Some associated R codes: Fcslse.R . cslse.R . slse.R .  Full causalSLSE package functions and examples
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