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blockingChallenge (version 1.0)

Create Blocks or Strata which are Similar Within

Description

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).

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Version

Install

install.packages('blockingChallenge')

Monthly Downloads

4

Version

1.0

License

MIT + file LICENSE

Maintainer

Bikram Karmakar

Last Published

September 21st, 2018

Functions in blockingChallenge (1.0)

wls

WLS data on Catholic schooling, Catholic religion, and access to a Catholic school.
smahal

Calculates robust, rank based, Mahalanobis distance matrix.
blockingChallenge-package

blockingChallenge
nh0506

Smoking and homocysteine levels in NHANES 2005-2006.
makeblocks

Creates strata of size bsize aiming to minimize within strata distance.