sclr_log_likelihood

An object returned by <code><a rd-options="" href="/link/sclr?package=sclr&version=0.3.1" data-mini-rdoc="sclr::sclr">sclr</a></code>. Or a list with
parameters, x and y entries corresponding to the parameter matrix, model
matrix and model response.

Model matrix. Will be taken from <code>fit</code> if <code>fit</code> is
provided.

Model response. Will be taken from <code>fit</code> if <code>fit</code> is
provided.

A named vector of parameter values. Will be taken from <code>fit</code>
if <code>fit</code> is provided.

pars

Computes the log-likelihood of the scaled logit model at a given set of
parameter estimates (or the MLE if <code>pars</code> is not supplied). Either
<code>fit</code> or <code>x</code>, <code>y</code> and <code>pars</code> need to be supplied.

Maximum likelihood estimation of the scaled logit model parameters
proposed in Dunning (2006) <doi:10.1002/sim.2282>.

Arseniy Khvorov

sclr

Scaled Logistic Regression

sclr_log_likelihood function

An object returned by <code><a rd-options='' href='sclr'>sclr</a></code>. Or a list with
parameters, x and y entries corresponding to the parameter matrix, model
matrix and model response.

sclr_log_likelihood: Log-likelihood

Description

Usage

Arguments