appendbreak

A data frame in the long long format

data

warp.model

Label to signal that this is a newly added observation

A custom function to insert rows in long data with new pseudo-observations 
that are being done on the specified break ages. There should be a 
column called <code>first</code> in <code>data</code> with logical data that codes whether
the current row is the first for subject <code>id</code>. Furthermore,
the function assumes that columns <code>age</code>, <code>occ</code>,
<code>hgt.z</code>, <code>wgt.z</code> and 
<code>bmi.z</code> are available. This function is used on the <code>tbc</code> 
data in FIMD chapter 9. Check that out to see it in action.

Multiple imputation using Fully Conditional Specification (FCS)
implemented by the MICE algorithm as described in Van Buuren and
Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. 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.

Stef van Buuren

mice

Multivariate Imputation by Chained Equations

Karin Groothuis-Oudshoorn

Gerko Vink

Rianne Schouten

Alexander Robitzsch

Lisa Doove

Shahab Jolani

Margarita Moreno-Betancur

Ian White

Philipp Gaffert

Florian Meinfelder

Bernie Gray

Vincent Arel-Bundock

appendbreak function

Appends specified break to the data — appendbreak

Appends specified break to the data

appendbreak: Appends specified break to the data

Description

Usage

Arguments

Value