blockingChallenge: Create Blocks or Strata which are Similar Within

Implements a heuristic algorithm to build blocks of a given size aiming to maximize similarity within strata across multiple covariates. The blocking structure can be used for causal inference and for sensitivity analysis to unmeasured confounding. A stratified structure gives more flexibility for using multiple instrumental variables and direct treatment vs. control analysis as evidence factors. Karmakar, B., Small, D. S., and Rosenbaum, P. R. (2018). Rosenbaum, P. R. (2010)<ISBN:978-1-4419-1213-8>.

Version: 1.0
Suggests: MASS
Enhances: optmatch
Published: 2018-09-21
Author: Bikram Karmakar
Maintainer: Bikram Karmakar <bikramk at>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: blockingChallenge results


Reference manual: blockingChallenge.pdf
Package source: blockingChallenge_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: not available, r-oldrel: not available


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