Description: Distance based bipartite matching using the RELAX-IV minimum cost flow solver,
oriented to matching of treatment and control groups in observational
studies. Routines are provided to generate distances from generalised linear models (propensity
score matching), formulas giving variables on which to limit matched distances, stratified or
exact matching directives, or calipers, alone or in combination.
Imports: Rcpp, RItools, digest, stats, methods, graphics
Suggests: boot, biglm, testthat (>= 0.11.0), roxygen2, brglm, arm,

<mark.m.fredrickson@gmail.com>, Josh Buckner, Josh Errickson,
Adam Rauh and Peter Solenberger, with embedded Fortran code due to
Dimitri P. Bertsekas <dimitrib@mit.edu> and Paul Tseng

Imports: Rcpp, RItools, digest, stats, methods, graphics, survey
knitr, rmarkdown, markdown, pander, xtable

Imports: Rcpp, RItools, digest, stats, methods, graphics, survey (>=

Description: Provides routines for distance based bipartite matching to reduce
covariate imbalance between treatment and control groups in observational
studies. Routines are provided to generate distances from GLM models (propensity
score matching) and formulas (Euclidean and Mahalanobis matching), stratified
matching (exact matching), and calipers. Results of the fullmatch routine are
guaranteed to provide minimum average within matched set distance.
Depends: R (>= 2.15.1), stats, methods, graphics, survival
Suggests: boot, biglm, testthat, brglm, arm

Author: Trevor Davis. "getopt" function, some documentation and unit
tests ported from Allen Day's ``getopt`` package. Based on the
optparse Python library by the Python Software Foundation.
Description: A command line parser inspired by Python's ``optparse``
libary to be used with Rscript to write "#!" shebang scripts
that accept short and long flag/options.

Author: Trevor Davis. Some documentation and unit tests ported from
Allen Day's ``getopt`` package. Based on the optparse Python
library by the Python Software Foundation.
Depends: R (>= 2.9.0), methods, getopt (>= 1.15)