Multilevel Propensity Score Analysis
Estimates models with increasing number of comparison subjects startin...
Provides a summary of a mlpsa class.
Prints the summary results of psrange.
Prints the results of [mlpsa()] and [xtable.mlpsa()].
Returns a heat map graphic representing missingness of variables group...
Adapted from ggExtra package which is no longer available. This is rel...
Returns the overall effects as a data frame.
Estimate covariate effect sizes before and after propensity score adju...
Prints the overall effects before and after propensity score adjustmen...
Prints basic information about a mlpsa class.
Calculate covariate effect size differences before and after stratific...
Transformation of Factors to Individual Levels
This function produces a ggplot2 figure containing the mean difference...
Returns a data frame with two columns corresponding to the level 2 var...
Returns a data frame with two columns corresponding to the level 2 var...
Returns true if the object is of type mlpsa
Loess plot with density distributions for propensity scores and outcom...
Nicer list of objects in memory. Particularly useful for analysis of l...
Plots the results of a multilevel propensity score model.
Estimates propensity scores using the recursive partitioning in a cond...
Creates a graphic summarizing the differences between treatment and co...
Plots distribution for either the treatment or comparison group.
Estimates propensity scores using logistic regression.
Prints information about a psrange result.
This function will perform phase II of the multilevel propensity score...
Multilevel Propensity Score Analysis
Multiple covariate balance assessment plot.
Plots the results of a multilevel propensity score model.
Plots densities and ranges for the propensity scores.
Heat map representing variables used in a conditional inference tree a...
Prints the results of [mlpsa()] as a LaTeX table.
The zero grob draws nothing and has zero size.
Conducts and visualizes propensity score analysis for multilevel, or clustered data. Bryer & Pruzek (2011) <doi:10.1080/00273171.2011.636693>.