2lonly.pmm2

mice.impute.2lonly.pmm2

2lonly.norm2

mice.impute.2lonly.norm2

Incomplete data vector of length <code>n</code>

Vector of missing data pattern
  (<code>FALSE</code>=missing, <code>TRUE</code>=observed)

Matrix (<code>n</code> x <code>p</code>) of complete
  covariates. Only numeric variables are permitted for
  usage of this function.

Group identifier must be specified by '-2'.
  Predictors must be specified by '1'.

type

These functions are just bug fixes of 
<code><a href="/link/mice.impute.2lonly.pmm?package=miceadds&version=1.5-0&to=mice%3Amice.impute.2lonly.pmm" rd-options="mice:mice.impute.2lonly.pmm" data-mini-rdoc="mice:mice.impute.2lonly.pmm::mice.impute.2lonly.pmm">mice.impute.2lonly.pmm</a></code> and
<code><a href="/link/mice.impute.2lonly.norm?package=miceadds&version=1.5-0&to=mice%3Amice.impute.2lonly.norm" rd-options="mice:mice.impute.2lonly.norm" data-mini-rdoc="mice:mice.impute.2lonly.norm::mice.impute.2lonly.norm">mice.impute.2lonly.norm</a></code> in
<pkg>mice</pkg> (version 2.21).


    Contains some auxiliary functions for multiple imputation which 
    complements existing functionality in R.
    In addition to some utility functions, main features include 
    plausible value imputation, multilevel imputation functions,
    imputation using partial least squares (PLS) for high dimensional 
    predictors, nested multiple imputation, and two-way imputation.

mice.impute.2lonly.pmm2: Imputation at Level 2 (in miceadds)

Description

Usage

Arguments

Value

See Also