print.relative.effect

print.pscore

print.stratified.data.frame

print.stratified.pscore

print.matched.data.frame

print.matched.data.frames

print.matched.pscore

print.est.data.frame

print.est.matched.data.frame

print.est.matched.pscore

print.est.stratified.data.frame

print.est.stratified.pscore

print.bal.data.frame

print.bal.matched.data.frame

print.bal.matched.pscore

print.bal.stratified.data.frame

print.bal.stratified.pscore

print.summary.relative.effect

print.summary.pscore

print.summary.stratified.data.frame

print.summary.stratified.pscore

print.summary.matched.data.frame

print.summary.matched.data.frames

print.summary.matched.pscore

print.summary.est.data.frame

print.summary.est.matched.data.frame

print.summary.est.matched.pscore

print.summary.est.stratified.data.frame

print.summary.est.stratified.pscore

print.summary.bal.data.frame

print.summary.bal.matched.data.frame

print.summary.bal.matched.pscore

print.summary.bal.stratified.data.frame

print.summary.bal.stratified.pscore

print

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.

print.relative.effect: Print function

Description

Usage

Arguments

Details