Learn R Programming

nonrandom (version 1.42)

Stratification and matching by the propensity score

Description

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.

Copy Link

Version

Install

install.packages('nonrandom')

Monthly Downloads

80

Version

1.42

License

GPL

Maintainer

Susanne Stampf

Last Published

April 5th, 2014

Functions in nonrandom (1.42)

stu1

Data example stu1
print.relative.effect

Print function
ps.balance

Statistical tests and standardized differences for balance checks
pride

Data example pride
summary.relative.effect

Summary function
nonrandom-package

A tool for a comprehensive data analysis from observational studies if stratification, matching and covariate adjustment by the propensity score is desired.
dist.plot

Graphical balance check for covariate distributions in treatment groups
ps.match

Propensity score matching
plot.stdf

Graphical check for standardized differences of covariates
ps.estimate

Estimation of propensity score based treatment effects
plot.pscore

Graphical check for propensity score distributions in treatment groups
ps.makestrata

Propensity score stratification
relative.effect

Relative effects of covariates
pscore

Propensity score estimation