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BlockedInfinitySparseMatrix-class
Blocked Infinity Sparse Matrix
InfinitySparseMatrix-class
Objects for sparse matching problems.
LEMON()
(Internal) Helper function for accessing algorithms in LEMON solver
antiExactMatch()
Specify a matching problem where units in a common factor cannot be matched.
as.InfinitySparseMatrix()
Convert an object to InfinitySparseMatrix
as.list(<BlockedInfinitySparseMatrix> )
Splits a BlockedInfinitySparseMatrix into a list of InfinitySparseMatrices
c(<optmatch> )
Combine Optmatch objects
caliper()
Prepare matching distances suitable for matching within calipers.
cbind(<InfinitySparseMatrix> ) rbind(<InfinitySparseMatrix> ) cbind(<BlockedInfinitySparseMatrix> ) rbind(<BlockedInfinitySparseMatrix> )
Combine InfinitySparseMatrices or BlockedInfinitySparseMatrices by row or column
compare_optmatch()
Compares the equality of optmatch objects, ignoring attributes and group names.
dbind()
Diagonally bind together subgroup-specific distances
dimnames(<InfinitySparseMatrix> ) `dimnames<-`(<InfinitySparseMatrix> ,<list> ) `dimnames<-`(<InfinitySparseMatrix> ,<NULL> )
Get and set dimnames for InfinitySparseMatrix objects
distUnion()
Combine multiple distance specifications into a single distance specification.
effectiveSampleSize()
Compute the effective sample size of a match.
evaluate_primal()
Compute value of primal problem given flows and arc costs
exactMatch()
Generate an exact matching set of subproblems.
fill.NAs()
Create missingness indicator variables and non-informatively fill in missing values
findSubproblems()
List subproblems of a distance
fullmatch() full()
Optimal full matching
getMaxProblemSize()
What is the maximum allowed problem size?
subset(<InfinitySparseMatrix> ) `[`(<InfinitySparseMatrix> ) `[<-`(<InfinitySparseMatrix> )
Subsetting for InfinitySparseMatrices
`+`(<InfinitySparseMatrix> ,<InfinitySparseMatrix> ) `-`(<InfinitySparseMatrix> ,<InfinitySparseMatrix> ) `*`(<InfinitySparseMatrix> ,<InfinitySparseMatrix> ) `/`(<InfinitySparseMatrix> ,<InfinitySparseMatrix> )
Element-wise addition
match_on()
Create treated to control distances for matching problems
matched() unmatched() matchfailed()
Identification of units placed into matched sets
matched.distances()
Determine distances between matched units
maxCaliper()
Find the maximum caliper width that will create a feasible problem.
c(<SubProbInfo> ) c(<NodeInfo> ) c(<ArcInfo> ) c(<MCFSolutions> ) c(<FullmatchMCFSolutions> )
Combine objects
mdist()
(Deprecated, in favor of match_on) Create matching distances
minExactMatch()
Find the minimal exact match factors that will be feasible for a given maximum problem size.
maxControlsCap() minControlsCap()
Set thinning and thickening caps for full matching
nuclearplants
Nuclear Power Station Construction Data
num_eligible_matches()
Returns the number of eligible matches for the distance.
pscore.dist() mahal.dist()
Functions deprecated or removed from optmatch
summary(<optmatch> )
Optmatch Class
optmatch_restrictions()
optmatch_restrictions
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.
pairmatch() pair()
Optimal 1:1 and 1:k matching
plantdist
Dissimilarities of Some U.S. Nuclear Plants
predict(<CBPS> )
(Internal) Predict for CBPS objects
print(<optmatch> )
Printing optmatch objects.
scoreCaliper()
(Internal) Helper function to create an InfinitySparseMatrix from a set of scores, a treatment indicator, and a caliper width.
scores()
Extract scores (propensity, prognostic,...) from a fitted model
setMaxProblemSize()
Set the maximum problem size
show(<BlockedInfinitySparseMatrix> )
Displays a BlockedInfinitySparseMatrix
show(<InfinitySparseMatrix> )
Displays an InfinitySparseMatrix
sort(<InfinitySparseMatrix> ) sort(<BlockedInfinitySparseMatrix> )
Sort the internal structure of an InfinitySparseMatrix.
strata()
Identify Stratafication Variables
stratumStructure() print(<stratumStructure> )
Return structure of matched sets
subdim()
Returns the dimension of each valid subproblem
summary(<InfinitySparseMatrix> ) summary(<BlockedInfinitySparseMatrix> ) summary(<DenseMatrix> )
Summarize a distance matrix
update(<optmatch> )
Performs an update on an optmatch object.