desc.wts | R Documentation |
desc.wts
assesses the quality of a set of weights on balancing a treatment
and control group.
desc.wts(data,
w,
sampw = sampw,
vars = NULL,
treat.var,
tp,
na.action = "level",
perm.test.iters=0,
verbose=TRUE,
alerts.stack,
estimand, multinom = FALSE, fillNAs = FALSE)
data |
a data frame containing the dataset |
w |
a vector of weights equal to |
sampw |
sampling weights, if provided |
vars |
a vector of variable names corresponding to |
treat.var |
the name of the treatment variable |
tp |
a title for the method “type" used to create the weights, used to label the results |
na.action |
a string indicating the method for handling missing data |
perm.test.iters |
an non-negative integer giving the number of iterations
of the permutation test for the KS statistic. If |
verbose |
if TRUE, lots of information will be printed to monitor the the progress of the fitting |
alerts.stack |
an object for collecting warnings issued during the analyses |
estimand |
the estimand of interest: either "ATT" or "ATE" |
multinom |
Indicator that weights are from a propsensity score analysis with 3 or more treatment groups. |
fillNAs |
If |
desc.wts
calls bal.stat
to assess covariate balance.
If perm.test.iters>0
it will call bal.stat
multiple
times to compute Monte Carlo p-values for the KS statistics and the maximum KS
statistic. It assembles the results into a list object, which usually becomes
the desc
component of ps objects that ps
returns.
See the description of the desc
component of the ps
object that
ps
returns
ps
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