difftable.plot This function produces a ggplot2 figure contianing the mean differences for
each level two, or cluster.
geom_rug_alt Alternate Marginal Rug Plot Geom for ggplot2
getPropensityScores Returns a data frame with two columns corresponding to the level 2 variable
and the fitted value from the logistic regression.
getStrata Returns a data frame with two columns corresponding to the level 2 variable
and the leaves from the conditional inference trees.
is.mlpsa Returns true if the object is of type
loess.plot Loess plot with density distributions for propensity scores and outcomes on
top and right, respectively.
lsos Nicer list of objects in memory. Particularly useful for analysis of large data.
missing.plot Returns a heat map graphic representing missinging of variables grouped by
the given grouping vector.
mlpsa This function will perform phase II of the multilevel propensity score analysis.
mlpsa.circ.plot Plots the results of a multilevel propensity score model.
mlpsa.ctree Estimates propensity scores using the recursive partitioning in a conditional inference framework.
mlpsa.difference.plot Creates a graphic summarizing the differences between treatment and comparison
groups within and across level two clusters.
mlpsa.distribution.plot Plots distribution for either the treatment or comparison group.
mlpsa.logistic Estimates propensity scores using logistic regression.
pisa.psa.cols Character vector representing the list of covariates used for estimating
pisana North American (i.e. Canada, Mexico, and United States) student results of the 2009
Programm of International Student Assessment.
psrange Estimates models with increasing number of comparision subjects starting from
1:1 to using all available comparison group subjects.
tree.plot Heat map representing variables used in a conditional inference tree across level 2 variables.