N_mov

Internal Function for Normal MOV model

Maximum likelihood estimates are obtained via an EM algorithm with either a first-order or a fully exponential Laplace approximation as documented by Broatch and Karl (2018) <doi:10.48550/arXiv.1710.05284>,
Karl, Yang, and Lohr (2014) <doi:10.1016/j.csda.2013.11.019>, and by
Karl (2012) <doi:10.1515/1559-0410.1471>. Karl and Zimmerman <doi:10.1016/j.jspi.2020.06.004> use this package to illustrate how the home field effect estimator from a mixed model can be biased under nonrandom scheduling.

Andrew T Karl

mvglmmRank

Multivariate Generalized Linear Mixed Models for Ranking Sports
Teams

Jennifer Broatch

N_mov function

<dl> <dt>Z_mat</dt>
<dd>data frame</dd> <dt>first.order</dt>
<dd>logical</dd> <dt>home.field</dt>
<dd>logical</dd> <dt>control</dt>
<dd>list</dd></dl>

Arguments

Internal Function for Normal MOV model — N_mov

<dl>

 <dt>Z_mat</dt>
<dd>data frame</dd>

 <dt>first.order</dt>
<dd>logical</dd>

 <dt>home.field</dt>
<dd>logical</dd>

 <dt>control</dt>
<dd>list</dd>

</dl>

N_mov: Internal Function for Normal MOV model

Description

Usage

Arguments