lcpmMinusloglik

betapar

matrix of covariates for all subjects with the lowest ordinal outcome value 1.

matrix of covariates for all subjects with the largest ordinal outcome value J.

matrix of covariates for all subjects with the ordinal outcomes with value 1 &lt; j &lt; J.

Xaj1

matrix of covariates for all subjects with the ordinal outcome with value 1 &lt; j &lt; J but lagged by 1.

Xaj2

<code>lcpmMinusloglik</code> provides the negative of the log-likelihood function for a Generalized Linear Model with a log link and ordinal outcomes to be minimized in functions <code><a rd-options="" href="/link/lcpm?package=lcpm&version=0.1.1" data-mini-rdoc="lcpm::lcpm">lcpm</a></code> and <code><a rd-options="" href="/link/ppm?package=lcpm&version=0.1.1" data-mini-rdoc="lcpm::ppm">ppm</a></code>.

An implementation of the Log Cumulative Probability Model (LCPM)
and Proportional Probability Model (PPM) for which the Maximum Likelihood Estimates are determined using constrained optimization.
This implementation accounts for the implicit constraints on the parameter space. Other
features such as standard errors, z tests and p-values use standard methods adapted from the results based on constrained optimization.

Gurbakhshash Singh

lcpm

Ordinal Outcomes: Generalized Linear Models with the Log Link

lcpmMinusloglik function

<code>lcpmMinusloglik</code> provides the negative of the log-likelihood function for a Generalized Linear Model with a log link and ordinal outcomes to be minimized in functions <code><a rd-options='' href='lcpm'>lcpm</a></code> and <code><a rd-options='' href='ppm'>ppm</a></code>.

lcpmMinusloglik: The Negative Log-Likelihood Function for a Log Cumulative Probability Model

Description

Usage

Arguments

Value