tmdm {isni} | R Documentation |
Function to fit the transitional missing data model and obtain the predicted probabilities of being observed for all observations.
Description
Fit missing data model and obtain predicted probabilities of being observed for all observations.
Usage
tmdm(formula, data, weights, subset)
Arguments
formula |
a formula to specify a multinomial transitional missing data model in the form of g+gp ~Sterms. |
data |
the name of the dataset for fitting missing data mechansim model |
weights |
an optional vector of "prior weights" to be used in the fitting process for the missingness mechanism model. Should be NULL or a numeric vector. |
subset |
an optional vector specifying a subset of observations to be used in the fitting process for the outcome model and the missingness mechanism model. |
Examples
qolefitg <- tmdm(g+gp~as.factor(time)+group+perf+sever,data=qolef)
[Package isni version 1.3 Index]