mice.theme

A logical indicating whether alpha-transparancy is
allowed. The default is <code>TRUE</code>.

transparent

A numerical values between 0 and 1 that indicates the
default alpha value for fills.

alpha.fill


The <code>mice.theme()</code> function sets default choices for
Trellis plots that are built into <span class="pkg">mice</span>.


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.

mice.theme: Set the theme for the plotting Trellis functions

Description

Usage

Arguments

Value