multilevelPSA1.2.5 package

Multilevel Propensity Score Analysis

tree.plot

Heat map representing variables used in a conditional inference tree a...

xtable.mlpsa

Prints the results of mlpsa as a LaTeX table.

zeroGrob

The zero grob draws nothing and has zero size.

align.plots

Adapted from ggExtra package which is no longer available. This is rel...

as.data.frame.covariate.balance

Returns the overall effects as a data frame.

covariate.balance

Estimate covariate effect sizes before and after propensity score adju...

covariateBalance

Calculate covariate effect size differences before and after stratific...

cv.trans.psa

Transformation of Factors to Individual Levels

difftable.plot

This function produces a ggplot2 figure containing the mean difference...

getPropensityScores

Returns a data frame with two columns corresponding to the level 2 var...

getStrata

Returns a data frame with two columns corresponding to the level 2 var...

is.mlpsa

Returns true if the object is of type mlpsa

loess.plot

Loess plot with density distributions for propensity scores and outcom...

lsos

Nicer list of objects in memory. Particularly useful for analysis of l...

missing.plot

Returns a heat map graphic representing missingness of variables group...

mlpsa.circ.plot

Plots the results of a multilevel propensity score model.

mlpsa.ctree

Estimates propensity scores using the recursive partitioning in a cond...

mlpsa.difference.plot

Creates a graphic summarizing the differences between treatment and co...

mlpsa.distribution.plot

Plots distribution for either the treatment or comparison group.

mlpsa.logistic

Estimates propensity scores using logistic regression.

mlpsa

This function will perform phase II of the multilevel propensity score...

multilevelPSA-package

Multilevel Propensity Score Analysis

plot.covariate.balance

Multiple covariate balance assessment plot.

plot.mlpsa

Plots the results of a multilevel propensity score model.

plot.psrange

Plots densities and ranges for the propensity scores.

print.covariate.balance

Prints the overall effects before and after propensity score adjustmen...

print.mlpsa

Prints basic information about a mlpsa class.

print.psrange

Prints information about a psrange result.

print.xmlpsa

Prints the results of mlpsa and xtable.mlpsa.

psrange

Estimates models with increasing number of comparison subjects startin...

summary.mlpsa

Provides a summary of a mlpsa class.

summary.psrange

Prints the summary results of psrange.

Conducts and visualizes propensity score analysis for multilevel, or clustered data. Bryer & Pruzek (2011) <doi:10.1080/00273171.2011.636693>.

  • Maintainer: Jason Bryer
  • License: GPL (>= 2)
  • Last published: 2018-03-22