contr.ltfr

<code><a rd-options="caret" href="/link/contr.ltfr?package=glmdisc&version=0.6&to=caret" data-mini-rdoc="caret::contr.ltfr">contr.ltfr</a></code> parameters.

Simply redirects the call to <code><a rd-options="caret" href="/link/contr.ltfr?package=glmdisc&version=0.6&to=caret" data-mini-rdoc="caret::contr.ltfr">contr.ltfr</a></code>, this is done
to avoid errors when the caret namespace is not attached.

internal

A Stochastic-Expectation-Maximization (SEM) algorithm (Celeux et al. (1995) <https://hal.inria.fr/inria-00074164>) associated with a Gibbs sampler which purpose is to learn a constrained representation for logistic regression that is called quantization (Ehrhardt et al. (2019) <arXiv:1903.08920>). Continuous features are discretized and categorical features' values are grouped to produce a better logistic regression model. Pairwise interactions between quantized features are dynamically added to the model through a Metropolis-Hastings algorithm (Hastings, W. K. (1970) <doi:10.1093/biomet/57.1.97>).

Adrien Ehrhardt

glmdisc

Discretization and Grouping for Logistic Regression

Vincent Vandewalle

Christophe Biernacki

Philippe Heinrich

contr.ltfr function

<code><a rd-options='caret' href='contr.ltfr'>contr.ltfr</a></code> parameters.

Simply redirects the call to <code><a rd-options='caret' href='contr.ltfr'>contr.ltfr</a></code>, this is done
to avoid errors when the caret namespace is not attached.

Wrapper for <code><a rd-options='caret' href='contr.ltfr'>contr.ltfr</a></code> — contr.ltfr

Wrapper for <code><a rd-options='caret' href='contr.ltfr'>contr.ltfr</a></code>

Wrapper for <code><a rd-options="caret" href="/link/contr.ltfr?package=glmdisc&version=0.6&to=caret" data-mini-rdoc="caret::contr.ltfr">contr.ltfr</a></code>

contr.ltfr: Wrapper for `contr.ltfr`

Description

Usage

Arguments

Examples