R: Impute left censored data with MICE

mice.impute.cens {doMIsaul}

R Documentation

Impute left censored data with MICE

Function from Lapidus et al. for imputing left-censored data with mice

mice.impute.cens(
  y,
  ry,
  x,
  lod.j,
  lod.name = "lod",
  REDRAW = FALSE,
  wy = NULL,
  ...
)

`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.
`lod.j`	censoring value.
`lod.name`	suffix name used for the censored variable.
`REDRAW`	Boolean indicating whether values should be redrawn if some are over the censoring limit
`wy`	Logical vector of length `length(y)`. A `TRUE` value indicates locations in `y` for which imputations are created.
`...`	Other named arguments.

Vector with imputed data, same type as y, and of length sum(wy).

[Package doMIsaul version 1.0.1 Index]