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optmatch (version 0.10.8)

Functions for Optimal Matching

Description

Distance based bipartite matching using minimum cost flow, oriented to matching of treatment and control groups in observational studies ('Hansen' and 'Klopfer' 2006 ). 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.

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Install

install.packages('optmatch')

Monthly Downloads

6,120

Version

0.10.8

License

MIT + file LICENSE

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Repository

https://github.com/markmfredrickson/optmatch

Homepage

http://optmat.ch

Maintainer

Last Published

September 19th, 2024

Functions in optmatch (0.10.8)

BlockedInfinitySparseMatrix-class

Blocked Infinity Sparse Matrix

as.InfinitySparseMatrix

Convert an object to InfinitySparseMatrix

Set thinning and thickening caps for full matching

as.list.BlockedInfinitySparseMatrix

Splits a BlockedInfinitySparseMatrix into a list of InfinitySparseMatrices

InfinitySparseMatrix-class

Objects for sparse matching problems.

(Internal) Determines how many other units fall within a caliper distance

caliperUpperBound

(Internal) Returns a reasonable upper bound on the arcs remaining after placing a caliper.

Combine multiple distance specifications into a single distance specification.

Generate an exact matching set of subproblems.

Diagonally bind together subgroup-specific distances

Create EdgeList object

Combine Optmatch objects

findSubproblems

List subproblems of a distance

dimnames,InfinitySparseMatrix-method

Get and set dimnames for InfinitySparseMatrix objects

(Internal) Helper function for accessing algorithms in LEMON solver

(Internal) If the x argument does not exist for match_on, fullmatch, or pairmatch, use this function to print a helpful message.

num_eligible_matches

Returns the number of eligible matches for the distance.

optmatch-defunct

Functions deprecated or removed from optmatch

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

effectiveSampleSize

Compute the effective sample size of a match.

Prepare matching distances suitable for matching within calipers.

Create missingness indicator variables and non-informatively fill in missing values

Optimal full matching

(Internal) Hashing functions for various distance objects #

getMaxProblemSize

What is the maximum allowed problem size?

subset.InfinitySparseMatrix

Subsetting for InfinitySparseMatrices

model.frame.svyglm

This method quells a warning when optmatch::scores() is applied to a svyglm object.

fmla2treatedblocking

(Internal) A helper function to turn formulas into treatment and blocking variables

evaluate_primal

Compute value of primal problem given flows and arc costs

Nuclear Power Station Construction Data

Create treated to control distances for matching problems

show,InfinitySparseMatrix-method

Displays an InfinitySparseMatrix

match_on_szn_scale

pooled dispersion for a numeric variable

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

Identification of units placed into matched sets

c,SubProbInfo-method

Combine objects

optmatch_restrictions

optmatch_restrictions

cbind.InfinitySparseMatrix

Combine InfinitySparseMatrices or BlockedInfinitySparseMatrices by row or column

standardization_scale

pooled dispersion for a numeric variable

matched.distances

Determine distances between matched units

Identify Stratafication Variables

Dissimilarities of Some U.S. Nuclear Plants

sort.InfinitySparseMatrix

Sort the internal structure of an InfinitySparseMatrix.

compare_optmatch

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

(Internal) Helper function to create an InfinitySparseMatrix from a set of scores, a treatment indicator, and a caliper width.

subproblemSuccess

(Internal) Report successful subproblems.

(Internal) Predict for CBPS objects

(Internal) Sets up option to try recovery in fullmatch.

+,InfinitySparseMatrix,InfinitySparseMatrix-method

Element-wise addition

optmatch_same_distance

Checks if two distances are equivalent. x and y can be distances (InfinitySparseMatrix, BlockedInfinitySparseMatrix, or DenseMatrix), or they can be optmatch objects.

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

Summarize a distance matrix

(Internal) Create optmatch objects, the result of matching.

show,BlockedInfinitySparseMatrix-method

Displays a BlockedInfinitySparseMatrix

update.optmatch

Performs an update on an optmatch object.

Optimal 1:1 and 1:k matching

(Deprecated, in favor of match_on) Create matching distances

setFeasibilityConstants

(Internal) Sets up the default values for maximum feasible problems

setMaxProblemSize

Set the maximum problem size

validDistanceSpecification

(Internal) Validate that objects are valid distance specifications.

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

Printing optmatch objects.

revise_ArcInfo_nodelabels

Reset implicit node labels of an ArcInfo object

stratumStructure

Return structure of matched sets

Returns the dimension of each valid subproblem