psa.strata: Propensity Score Analysis using Stratification
In jbryer/PSAboot: Bootstrapping for Propensity Score Analysis
psa.strata R Documentation
Propensity Score Analysis using Stratification
Description
Propensity Score Analysis using Stratification
Usage
psa.strata(Y, Tr, strata, trim = 0, minStrata = 5)
Arguments
Y
response variable.
Tr
treatment variable.
strata
strata identifier.
trim
allows for a trimmed mean as outcome measure, where trim is from
0 to .5 (.5 implying median).
minStrata
minimum number of treatment or control units within a strata
to include that strata.
Value
a character vector containing summary.strata, ATE, se.wtd, approx.t, df, and CI.95.
jbryer/PSAboot documentation built on Oct. 29, 2023, 10 a.m.
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| psa.strata | R Documentation |
Propensity Score Analysis using Stratification
Description
Propensity Score Analysis using Stratification
Usage
psa.strata(Y, Tr, strata, trim = 0, minStrata = 5)
Arguments
Y |
response variable. |
Tr |
treatment variable. |
strata |
strata identifier. |
trim |
allows for a trimmed mean as outcome measure, where trim is from 0 to .5 (.5 implying median). |
minStrata |
minimum number of treatment or control units within a strata to include that strata. |
Value
a character vector containing summary.strata, ATE, se.wtd, approx.t, df, and CI.95.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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