Author: David I. Hastie, Silvia Liverani <liveranis@gmail.com> and Sylvia Richardson with contributions from Aurore J. Lavigne, Lucy Leigh, Lamiae Azizi, Xi Liu, Ruizhu Huang, Austin Gratton, Wei Jing

Imports: Rcpp (>= 0.12.13), ggplot2 (>= 2.2), cluster, plotrix (>=

Title: Probability scale residuals and residual correlations.
Author: Charles Dupont, Chun Li, Bryan Shepherd
Description: Computes probability scale residuals adn residual
correlations for continuous, ordinal, binary, count, and
time-to-event data (currently only implements ordinal data).
Collate: 'GKGamma.R' 'diagn.R' 'newPolr.R' 'pgumbel.R' 'cobot.R'

Author: Charles Dupont, Jeffrey Horner, Chun Li, Bryan Shepherd
Description: Computes probability scale residuals and residual correlations
for continuous, ordinal, binary, count, and time-to-event data (currently
Collate: 'GKGamma.R' 'PResiduals-package.R' 'pgumbel.R' 'newPolr.R'
'diagn.R' 'cobot.R' 'cocobot.R' 'presid.R' 'print.cobot.R'

Title: Probability-Scale Residuals and Residual Correlations
Author: Charles Dupont, Jeffrey Horner, Chun Li, Qi Liu, Bryan Shepherd
Description: Computes probability-scale residuals and residual correlations
for continuous, ordinal, binary, count, and time-to-event data.
Imports: MASS, Formula, rms, sandwich, actuar
'diagn.R' 'cobot.R' 'cocobot.R' 'countbot.R' 'presid.R'

'diagn.R' 'cobot.R' 'cocobot.R' 'cocobot_orm.R' 'condis.R'
'corTS.R' 'countbot.R' 'getCI.R' 'lm.scores.R' 'megabot.R'

Collate: 'GKGamma.R' 'PResiduals-package.R' 'pgumbel.R' 'diagn.R'

Collate: 'GKGamma.R' 'PResidData.R' 'PResiduals-package.R' 'pgumbel.R'
'diagn.R' 'newPolr.R' 'cobot.R' 'cocobot.R' 'condis.R'

for continuous, ordinal, binary, count, and time-to-event data <doi:10.18637/jss.v094.i12>.

Title: Bootstrapping for Propensity Score Analysis
Description: Bootstrapping functions for propensity score analysis and matching.
Collate: 'psa.strata.R' 'PSAboot.R' 'boot.matching.R' 'boot.matchit.R'

Description: Bootstrapping for propensity score analysis and matching.

Package: PSAgraphics
Version: 1.0
Date: 2007-5-3
Title: Propensity Score Analysis Graphics
Author: James E. Helmreich <James.Helmreich@Marist.edu> and Robert M. Pruzek <RMPruzek@yahoo.com>
Maintainer: James E. Helmreich <James.Helmreich@Marist.edu>
Depends: R (>= 2.3.1)
Description: A collection of functions that primarily produce graphics to aid in a
Propensity Score Analysis (PSA).  Functions include: cat.psa and box.psa to test
balance within strata of categorical and quantitative covariates,
circ.psa for a representation of the estimated effect size by stratum,
loess.psa that provides a graphic and loess based effect size estimate,
and various balance functions that provide measures of the balance achieved
via a PSA in a categorical covariate.
License: GPL (version 2 or later)
Packaged: Wed May  9 13:43:10 2007; J