squeeze

A numerical vector of length 2 containing the lower and upper bounds.
By default, the bounds are to the minimum and maximum values in <code>x</code>.

bounds

A logical vector of length <code>length(x)</code> that is used to select a
subset in <code>x</code> before calculating automatic bounds.

This function replaces any values in <code>x</code> that are lower than
<code>bounds[1]</code> by <code>bounds[1]</code>, and replaces any values higher
than <code>bounds[2]</code> by <code>bounds[2]</code>.

Multiple imputation using Fully Conditional Specification (FCS)
    implemented by the MICE algorithm. Each variable has its own imputation
    model. Built-in imputation models are provided for continuous data
    (predictive mean matching, normal), binary data (logistic regression),
    unordered categorical data (polytomous logistic regression) and ordered
    categorical data (proportional odds). MICE can also impute continuous
    two-level data (normal model, pan, second-level variables). Passive
    imputation can be used to maintain consistency between variables. Various
    diagnostic plots are available to inspect the quality of the imputations.

squeeze: Squeeze the imputed values to be within specified boundaries.

Description

Usage

Arguments

Value