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.
Packaged: 2013-09-25 08:03:48 UTC; jennyhaggstrom

Packaged: 2014-06-26 11:27:57 UTC; jennyhaggstrom

Packaged: 2015-11-09 13:07:17 UTC; jennyhaggstrom

Imports: bnlearn,MASS, bindata, Matching, doRNG, glmnet,
Title: Model-Free Covariate Selection in High Dimensions
Description: Model-free selection of covariates in high dimensions 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) <DOI:10.1093/biomet/asr041> and VanderWeele and Shpitser (2011) <DOI:10.1111/j.1541-0420.2011.01619.x>. Confounder selection can be performed via either Markov/Bayesian networks, random forests or LASSO.
Packaged: 2016-04-25 17:51:10 UTC; jennyhaggstrom

Packaged: 2017-05-04 11:39:19 UTC; jennyhaggstrom

Packaged: 2017-07-03 08:37:03 UTC; jennyhaggstrom

Title: Statistical Tools for Covariance Analysis
Authors@R: c(person("Kyoungjae","Lee",role="aut",email="leekjstat@gmail.com"),person("Kisung", "You", role = c("aut", "cre"),email = "kyou@nd.edu"))
Description: Covariance is of universal prevalence across various disciplines within statistics.
We provide a rich collection of geometric and inferential tools for convenient analysis of
covariance structures, topics including distance measures, mean covariance estimator,
covariance hypothesis test for one-sample and two-sample cases, and covariance estimation.
For an introduction to covariance in multivariate statistical analysis,
Imports: Rcpp (>= 0.12.10), geigen, shapes, expm, mvtnorm, stats,