boot.ctree {PSAboot} | R Documentation |
Stratification using classification trees for bootstrapping.
boot.ctree(Tr, Y, X, X.trans, formu, minStrata = 5, ...)
Tr |
vector indicating treatment assignment. |
Y |
vector of outcome. |
X |
matrix or data frame of covariates. |
X.trans |
a data frame of |
formu |
the formula to use to estimate propensity scores. Note that the
dependent varaible (i.e. treatment varaible) name will be updated using
the |
minStrata |
minimum number of treatment or control units within a strata to include that strata. |
... |
other parameters passed from |
a list with three elements:
summary
a named numeric vector (with at minimum estimate
,
ci.min
, and ci.max
but other values allowed)
balance
a named numeric vector with one element per
covariate listed in X.trans
representing a balance statistic
(usually standardized effect size after adjustment)
details
an arbitrary object that contains the full results of the analysis