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optmatch (version 0.9-5)

Functions for Optimal Matching

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.

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Install

install.packages('optmatch')

Monthly Downloads

6,365

Version

0.9-5

License

file LICENSE

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Repository

https://github.com/markmfredrickson/optmatch

Homepage

http://www.r-project.org

Maintainer

Mark Fredrickson

Last Published

July 30th, 2015

Functions in optmatch (0.9-5)

Nuclear Power Station Construction Data

Prepare matching distances suitable for matching within calipers.

update.optmatch

Performs an update on an optmatch object.

exactMatch-methods

Generate an exact matching set of subproblems

Optimal full matching

compare_optmatch

Compares the equality of optmatch objects, ignoring attributes and group names.

optmatch_same_distance

Checks if the distance newdist is identical to the distance used to generate the optmatch object obj.

num_eligible_matches

Returns the number of eligible matches for the distance.

Specify a matching problem where units in a common factor cannot be matched.

InfinitySparseMatrix-class

Objects for sparse matching problems.

Returns the dimension of each valid subproblem

Set thinning and thickening caps for full matching

dimnames,InfinitySparseMatrix-method

Get and set dimnames for InfinitySparseMatrix objects

(Deprecated, in favor of match_on) Create matching distances

Identification of units placed into matched sets

Display license information about embedded code

stratumStructure

Return structure of matched sets

getMaxProblemSize

What is the maximum allowed problem size?

matched.distances

Determine distances between matched units

Extract scores (propensity, prognostic,...) from a fitted model

+,InfinitySparseMatrix,InfinitySparseMatrix-method

Element-wise addition

Find the maximum caliper width that will create a feasible problem.

effectiveSampleSize

Compute the effective sample size of a match.

Create treated to control distances for matching problems

optmatch-defunct

Functions deprecated or removed from optmatch

Optimal 1:1 and 1:k matching

Dissimilarities of Some U.S. Nuclear Plants

optmatch_restrictions

optmatch_restrictions

Printing optmatch objects.

subproblemSuccess

(Internal) Report successful subproblems.

Combine multiple distance specifications into a single distance specification.

Find the minimal exact match factors that will be feasible for a given maximum problem size.