multilevelPSA: Multilevel Propensity Score Analysis

Functions to estimate and visualize propensity score analysis for multilevel, or clustered, data.

AuthorJason Bryer <jason@bryer.org>
Date of publication2015-12-28 21:43:03
MaintainerJason Bryer <jason@bryer.org>
LicenseGPL (>= 2)
Version1.2.4
http://jason.bryer.org/multilevelPSA/, http://github.com/jbryer/multilevelPSA

View on CRAN

Man pages

align.plots: Adapted from ggExtra package which is no longer available....

as.data.frame.covariate.balance: Returns the overall effects as a data frame.

covariate.balance: Estimate covariate effect sizes before and after propensity...

covariateBalance: Calculate covariate effect size differences before and after...

cv.trans.psa: Transformation of Factors to Individual Levels

difftable.plot: This function produces a ggplot2 figure contianing the mean...

getPropensityScores: Returns a data frame with two columns corresponding to the...

getStrata: Returns a data frame with two columns corresponding to the...

is.mlpsa: Returns true if the object is of type 'mlpsa'

loess.plot: Loess plot with density distributions for propensity scores...

lsos: Nicer list of objects in memory. Particularly useful for...

missing.plot: Returns a heat map graphic representing missinging of...

mlpsa: This function will perform phase II of the multilevel...

mlpsa.circ.plot: Plots the results of a multilevel propensity score model.

mlpsa.ctree: Estimates propensity scores using the recursive partitioning...

mlpsa.difference.plot: Creates a graphic summarizing the differences between...

mlpsa.distribution.plot: Plots distribution for either the treatment or comparison...

mlpsa.logistic: Estimates propensity scores using logistic regression.

multilevelPSA-package: Multilevel Propensity Score Analysis

pisa.colnames: Mapping of variables in 'pisana' with full descriptions.

pisa.countries: Data frame mapping PISA countries to their three letter...

pisana: North American (i.e. Canada, Mexico, and United States)...

pisa.psa.cols: Character vector representing the list of covariates used for...

plot.covariate.balance: Multiple covariate blance 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...

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 comparision...

summary.mlpsa: Provides a summary of a 'mlpsa' class.

summary.psrange: Prints the summary results of psrange.

tree.plot: Heat map representing variables used in a conditional...

xtable.mlpsa: Prints the results of 'mlpsa' as a LaTeX table.

zeroGrob: The zero grob draws nothing and has zero size.

Files in this package

multilevelPSA
multilevelPSA/inst
multilevelPSA/inst/pisa
multilevelPSA/inst/pisa/pisa.setup.R
multilevelPSA/inst/pisa/pisa.colours.R
multilevelPSA/inst/CITATION
multilevelPSA/inst/tests
multilevelPSA/inst/tests/test-pisa.R
multilevelPSA/NAMESPACE
multilevelPSA/demo
multilevelPSA/demo/psrange-trees.R
multilevelPSA/demo/00Index
multilevelPSA/demo/pisa.loess.R
multilevelPSA/demo/psrange.r
multilevelPSA/demo/plotmissing.r
multilevelPSA/demo/pisa.R
multilevelPSA/NEWS
multilevelPSA/data
multilevelPSA/data/pisa.psa.cols.R
multilevelPSA/data/datalist
multilevelPSA/data/pisa.colnames.rda
multilevelPSA/data/pisana.rda
multilevelPSA/data/pisa.countries.rda
multilevelPSA/R
multilevelPSA/R/cv.trans.psa.R multilevelPSA/R/plot.mlpsa.circ.R multilevelPSA/R/plot.mlpsa.R multilevelPSA/R/covariateBalance.R multilevelPSA/R/plot.mlpsa.difference.R multilevelPSA/R/plot.balance.R multilevelPSA/R/mlpsa.ctree.R multilevelPSA/R/mlpsa.R multilevelPSA/R/plot.mlpsa.distribution.R multilevelPSA/R/lsos.R
multilevelPSA/R/xtable.mlpsa.r
multilevelPSA/R/plot.difftable.R multilevelPSA/R/align.R multilevelPSA/R/plot.loess.R multilevelPSA/R/multilevelPSA-package.R multilevelPSA/R/plot.missing.R multilevelPSA/R/covariate.balance.R
multilevelPSA/R/psrange.r
multilevelPSA/R/mlpsa.logistic.R multilevelPSA/R/plot.tree.R multilevelPSA/R/mlpsa.print.R
multilevelPSA/MD5
multilevelPSA/DESCRIPTION
multilevelPSA/man
multilevelPSA/man/pisa.countries.Rd multilevelPSA/man/pisa.psa.cols.Rd multilevelPSA/man/mlpsa.distribution.plot.Rd multilevelPSA/man/print.covariate.balance.Rd multilevelPSA/man/is.mlpsa.Rd multilevelPSA/man/plot.psrange.Rd multilevelPSA/man/mlpsa.Rd multilevelPSA/man/mlpsa.ctree.Rd multilevelPSA/man/print.xmlpsa.Rd multilevelPSA/man/cv.trans.psa.Rd multilevelPSA/man/pisana.Rd multilevelPSA/man/tree.plot.Rd multilevelPSA/man/plot.covariate.balance.Rd multilevelPSA/man/mlpsa.logistic.Rd multilevelPSA/man/getPropensityScores.Rd multilevelPSA/man/print.mlpsa.Rd multilevelPSA/man/plot.mlpsa.Rd multilevelPSA/man/zeroGrob.Rd multilevelPSA/man/missing.plot.Rd multilevelPSA/man/mlpsa.difference.plot.Rd multilevelPSA/man/as.data.frame.covariate.balance.Rd multilevelPSA/man/align.plots.Rd multilevelPSA/man/pisa.colnames.Rd multilevelPSA/man/covariate.balance.Rd multilevelPSA/man/difftable.plot.Rd multilevelPSA/man/psrange.Rd multilevelPSA/man/summary.mlpsa.Rd multilevelPSA/man/getStrata.Rd multilevelPSA/man/summary.psrange.Rd multilevelPSA/man/print.psrange.Rd multilevelPSA/man/xtable.mlpsa.Rd multilevelPSA/man/lsos.Rd multilevelPSA/man/covariateBalance.Rd multilevelPSA/man/multilevelPSA-package.Rd multilevelPSA/man/mlpsa.circ.plot.Rd multilevelPSA/man/loess.plot.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.