Title: MatchIt: Nonparametric Preprocessing for Parametric Casual Inference
Description:  MatchIt selects matched samples of the
the original treated and control groups with similar
covariate distributions -- can be used to match exactly
on covariates, to match on propensity scores, or perform
Packaged: Thu Jan  6 13:44:52 2005; estuart

Packaged: Wed Aug 10 14:48:40 2005; kimai

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Packaged: Wed May 10 09:33:05 2006; kimai

Packaged: Thu Jul 13 16:25:02 2006; estuart

Depends: R (>= 2.2), MASS, optmatch, Matching, WhatIf, nnet, rpart, mgcv
Packaged: Tue Apr 10 23:16:11 2007; kimai

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Packaged: Mon May  1 09:32:20 2006; kimai

Description: MatchIt preprocesses data by selecting approximate matched samples
of the treated and control groups with similar covariate
distributions, drawing on a large variety of matching methods.
After preprocessing data with MatchIt, whatever standard parametric
technique one might have used without preprocessing can be used, but
the results will be far less model dependent.
Packaged: Thu Oct 11 11:22:23 2007; king

Suggests: cem, optmatch, Matching, WhatIf, nnet, rpart, mgcv
Packaged: Mon Feb  2 09:44:18 2009; king

Author: Daniel Ho <daniel.e.ho@gmail.com>, Elizabeth Stuart
Description: MatchIt preprocesses data by selecting approximate matched
samples of the treated and control groups with similar
covariate distributions, drawing on a large variety of matching
methods. After preprocessing data with MatchIt, whatever
standard parametric technique one might have used without
preprocessing can be used, but the results will be far less