ks.stat {twang} | R Documentation |
These are a collection of functions that can be used as components of
stop.methods
for evaluating the balance of two groups
ks.stat(logw = NULL, w.ctrl = NULL, gbm1 = NULL, i = 1, data, sampw = rep(1, nrow(data)), rule.summary = mean, na.action = "level", vars, treat.var, collapse.by.var = FALSE, verbose = FALSE) es.stat(logw = NULL, w.ctrl = NULL, gbm1 = NULL, i = 1, data, sampw = rep(1, nrow(data)), rule.summary = mean, na.action = "level", vars, treat.var, collapse.by.var = FALSE, verbose = FALSE) strata.stat(logw = NULL, w.ctrl = NULL, gbm1 = NULL, i = 1, data, sampw = rep(1, nrow(data)), rule.summary = mean, na.action = "level", vars, treat.var, collapse.by.var = FALSE, verbose = FALSE)
The weights be passed to these functions with any of the first three arguments
logw |
the logarithm of the weights |
w.ctrl |
the weights for the control subjects |
gbm1 |
a gbm.object used for estimating the
propensity scores, usually the gbm component of a ps
object returned from ps |
i |
the iteration of gbm with which to compute the
weights |
data |
a data frame with the data |
sampw |
optional sampling weights |
rule.summary |
a function for summarizing the total balance. Used to
collapse statistics across all the covariates. Examples
include mean and max |
na.action |
a string indicating the method for handling missing data |
vars |
a vector of variable names corresponding to data |
treat.var |
the name of the treatment variable |
collapse.by.var |
if TRUE , then statistics computed for factors
are collapsed across the levels |
verbose |
if TRUE, lots of information will be printed to monitor the the progress of the fitting |
~~ If necessary, more details than the description above ~~
~Describe the value returned If it is a LIST, use
comp1 |
Description of 'comp1' |
comp2 |
Description of 'comp2' |
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