mice.impute.lead {dynamite} | R Documentation |
Compute Leading Values of an Imputed Response
Description
Function for computing the leading values of an imputed response in mice
.
Usage
mice.impute.lead(y, ry, x, wy = NULL, group_val, group_var, resp, ...)
Arguments
y |
Vector to be imputed
|
ry |
Logical vector of length length(y) indicating the
the subset y[ry] of elements in y to which the imputation
model is fitted. The ry generally distinguishes the observed
(TRUE ) and missing values (FALSE ) in y .
|
x |
Numeric design matrix with length(y) rows with predictors for
y . Matrix x may have no missing values.
|
wy |
Logical vector of length length(y) . A TRUE value
indicates locations in y for which imputations are created.
|
group_val |
[vector() ] Values of the grouping variable.
|
group_var |
[character(1) ] Name of the grouping variable.
|
resp |
[character(1) ] Name of the response variable.
|
... |
Other named arguments.
|
[Package
dynamite version 1.5.2
Index]