Usage
diagnose <- diagnose(formula, match.matrix, pscore, in.sample, data, exact=FALSE,
mahvars=NULL, subclass=0, psclass=NULL, nearest=TRUE, q.cut=NULL, counter=TRUE)
Arguments
formula
(required). Takes the form of T ~ X1 + X2, where T is a binary
treatment indicator and X1 and X2 are the pre-treatment covariates, and T,
X1, and X2 are contained
match.matrix
(required). n1 by ratio data frame where the rows correspond to treated
units and the columns store the names of the control units matched to each treated unit. NA
indicates that treated unit was not matched. Generally created in nearest.
pscore
(required). Vector of estimated propensity scores. Generally calculated in
distance.
in.sample
(required). Vector of length n showing whether each unit was eligible for
matching due to common support restrictions with discard. Generally calculated in
distance.
data
(required). Data frame containing the variables called in the formula.
The dataframe should not include variables with the names psclass, psweights, or
pscore, as these are expressly reserved in the o
exact
"FALSE" (default)=no exact matching. "TRUE"=exact matching on all
variables in formula. A vector of variable names (that are in data to indicate
separate variables on which to exact match, in combination with matching on the pr
mahvars
Variables on which to perform Mahalanobis matching within each caliper
(default=NULL). Should be entered as a vector of names of variables in data.
subclass
Either a scaler specifying the number of subclasses (default=0) or a
vector of probabilities to create quantiles based on sub.by.
psclass
Subclass index in an ordinal scale from 1 to the number of subclasses.
Unmatched units have subclass=0. Generally computed in subclassify.
nearest
Whether to perform nearest-neighbor matching (default=TRUE).
q.cut
Subclass cut points. Generally calculated in subclassify.
counter
Whether to display counter indicating the progress of the matching
(default=TRUE).