Compute Leading Values of an Imputed Response

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, ...)

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.