ScoreFun_new

This function gives the gradient of the log likelihood of the Box-Cox model.
Main purpose is to be an input to the maxLik function.

Implements a logistic box-cox model. This model is fully described in Xing, L. et al. (2021) <doi:10.1002/cjs.11587>.

Li Xing

lboxcox

Implementation of Logistic Box-Cox Regression

Shiyu Xu

Jing Wang

Kohlton Booth

Xuekui Zhang

Igor Burstyn

Paul Gustafson

ScoreFun_new function

<dl><dt>init</dt>
<dd>initial values for the intercept and slope coefficients</dd>
<dt>ixx</dt>
<dd>continuous predictor</dd>
<dt>iyy</dt>
<dd>binary outcome</dd>
<dt>iw</dt>
<dd>sample weight</dd>
<dt>iZZ</dt>
<dd>covariates to be incorporated in the model</dd></dl>

Arguments

New Log Likelihood Gradient of Logistic Box-Cox — ScoreFun_new

<dl>

<dt>init</dt>
<dd>initial values for the intercept and slope coefficients</dd>


<dt>ixx</dt>
<dd>continuous predictor</dd>


<dt>iyy</dt>
<dd>binary outcome</dd>


<dt>iw</dt>
<dd>sample weight</dd>


<dt>iZZ</dt>
<dd>covariates to be incorporated in the model</dd>

</dl>

ScoreFun_new: New Log Likelihood Gradient of Logistic Box-Cox

Description

Usage

Value

Arguments