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CovSel  

Model-Free Covariate Selection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CovSel", "1.2.1")



Attach the package and use:
library("CovSel")
Maintained by
Jenny Häggström
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-09-25
Latest Update: 2015-11-09
Description:
Model-free selection of covariates under unconfoundedness for situations where the parameter of interest is an average causal effect. This package is based on model-free backward elimination algorithms proposed in de Luna, Waernbaum and Richardson (2011). Marginal co-ordinate hypothesis testing is used in situations where all covariates are continuous while kernel-based smoothing appropriate for mixed data is used otherwise.
How to cite:
Jenny Häggström (2013). CovSel: Model-Free Covariate Selection. R package version 1.2.1, https://cran.r-project.org/web/packages/CovSel
Previous versions and publish date:
1.0 (2013-09-25 10:14), 1.1 (2014-06-26 14:03)
Other packages that cited CovSel R package
View CovSel citation profile
Other R packages that CovSel depends, imports, suggests or enhances
Functions, R codes and Examples using the CovSel R package
Some associated functions: cov.sel.np . cov.sel . datc . datf . datfc . lalonde . summary.cov.sel . 
Some associated R codes: cov.sel.R . cov.sel.np.R . summary.cov.sel.R .  Full CovSel package functions and examples
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