multinomial

This function is a returns a <code><a href="/link/family?package=mi&version=1.2" data-mini-rdoc="mi::family">family</a></code> and is a generalization of <code><a href="/link/binomial?package=mi&version=1.2" data-mini-rdoc="mi::binomial">binomial</a></code>.
users would only need to call it when calling <code>change</code> with 
<code>what = "family", to = multinomial(link = 'logit')</code>

utilities

The mi package provides functions for data manipulation, imputing missing values in an approximate Bayesian framework, diagnostics of the models used to generate the imputations, confidence-building mechanisms to validate some of the assumptions of the imputation algorithm, and functions to analyze multiply imputed data sets with the appropriate degree of sampling uncertainty.

Ben Goodrich

Missing Data Imputation and Model Checking

Andrew Gelman

Jennifer Hill

Yu-Sung Su

Masanao Yajima

Maria Pittau

Yajuan Si

Jon Kropko

multinomial function

<dl> <dt>link</dt>
<dd>character string among those supported by <code><a href="/link/binomial?package=mi&version=1.2" data-mini-rdoc="mi::binomial">binomial</a></code></dd></dl>

Arguments

Ben Goodrich and Jonathan Kropko, for this version, based on earlier versions written by Yu-Sung Su, Masanao Yajima,
Maria Grazia Pittau, Jennifer Hill, and Andrew Gelman.

Author

This function is a returns a <code><a href='https://rdrr.io/r/stats/family.html'>family</a></code> and is a generalization of <code><a href='https://rdrr.io/r/stats/family.html'>binomial</a></code>.
users would only need to call it when calling <code>change</code> with 
<code>what = "family", to = multinomial(link = 'logit')</code>

The multinomial family — multinomial

<dl>

 <dt>link</dt>
<dd>character string among those supported by <code><a href='https://rdrr.io/r/stats/family.html'>binomial</a></code></dd>

</dl>

multinomial: The multinomial family

Description

Usage

Value

Arguments

Author

Details

See Also

Examples