This package offers a comprehensive data analysis if stratification and matching by the propensity score is done. Several functions are implemented, starting from the selection of the propensity score model up to estimating propensity score based treatment or exposure effects. All functions can be applied separately as well as combined.
|Author||Susanne Stampf [cre, aut]|
|Date of publication||2014-04-05 08:06:21|
|Maintainer||Susanne Stampf <firstname.lastname@example.org>|
dist.plot: Graphical balance check for covariate distributions in...
nonrandom-package: A tool for a comprehensive data analysis from observational...
plot.pscore: Graphical check for propensity score distributions in...
plot.stdf: Graphical check for standardized differences of covariates
pride: Data example pride
print.relative.effect: Print function
ps.balance: Statistical tests and standardized differences for balance...
pscore: Propensity score estimation
ps.estimate: Estimation of propensity score based treatment effects
ps.makestrata: Propensity score stratification
ps.match: Propensity score matching
relative.effect: Relative effects of covariates
stu1: Data example stu1
summary.relative.effect: Summary function