Propensity Score Matching and Subclassification in Observational
Studies with Multi-Level Treatments
c(
person("Shu", "Yang", email = "shuyang@hsph.harvard.edu",
role = c("aut")),
person("Brian G.", "Barkley", email = "BarkleyBG@outlook.com",
role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1787-4735"))
)
Implements methods to estimate causal effects from observational
studies when there are 2+ distinct levels of treatment (i.e., "multilevel
treatment") using matching estimators, as introduced in Yang et al. (2016)
<doi:10.1111/biom.12505>. Matching on covariates, and matching or
stratification on modeled propensity scores, are available. These methods
require matching on only a scalar function of generalized propensity scores.
Shu Yang [aut],
Brian G. Barkley [aut, cre] (<https://orcid.org/0000-0003-1787-4735>)

Functions to estimate and visualize propensity score
analysis for multilevel, or clustered, data.
ggplot2, plyr, psych, reshape, proto, grid, xtable, R (>=
2.15.1)
'geom_rug_alt.R' 'multilevelPSA-package.R' 'align.R' 'mlpsa.R'
'mlpsa.ctree.R' 'mlpsa.print.R' 'plot.missing.R' 'plot.mlpsa.R'
'plot.mlpsa.difference.R' 'plot.mlpsa.distribution.R'
'plot.tree.R' 'lsos.R' 'plot.difftable.R' 'plot.mlpsa.circ.R'
'mlpsa.logistic.R' 'plot.loess.R' 'psrange.r' 'xtable.mlpsa.r'

Functions to estimate and visualize propensity
score analysis for multilevel, or clustered, data.
PSAgraphics, plyr, psych, reshape, proto, grid, party

PSAgraphics, plyr, psych, reshape, proto, grid, party, MASS

PSAgraphics, plyr, psych, reshape, grid, party, MASS

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

ggplot2, plyr, psych, reshape, proto, grid, xtable, R (>= 3.0)

Multilevel and Mixed Effects Model Diagnostics and Effect Sizes
Effect sizes, diagnostics and performance metrics for
multilevel and mixed effects models.
Includes marginal and conditional 'R2' estimates for linear mixed effects models
based on Johnson (2014) <doi:10.1111/2041-210X.12225>.
lme4, lmerTest, data.table (>= 1.12.0), nlme, extraoperators
(>= 0.1.1), JWileymisc (>= 1.1.0), cowplot, ggplot2, lavaan,
zoo