plot.bbl

Matrix of layouts for arrangment of linear and interaction 
parameters. If <code>NULL</code>, the top half will be used for linear 
parameter barplot and bottom half will be divided into interaction 
heatmaps for each response group.

layout

Color for linear barplots. Grayscale if <code>NULL</code>.

hcol

Color for interaction heatmaps. Default (<code>NULL</code>) is 
<code>RdBu</code> from <code>RColorBrewer</code>.

Jcol

npal

Other graphical parameters for <code><a rd-options="" href="/link/plot?package=bbl&version=1.0.0" data-mini-rdoc="bbl::plot">plot</a></code>.

Visualize bias and interaction parameters

Supervised learning using Boltzmann Bayes model inference,
which extends naive Bayes model to include interactions. Enables
classification of data into multiple response groups based on a large
number of discrete predictors that can take factor values of
heterogeneous levels. Either pseudo-likelihood or mean field
inference can be used with L2 regularization, cross-validation, and
prediction on new data.
<doi:10.18637/jss.v101.i05>.

Jun Woo

Boltzmann Bayes Learner

plot.bbl function

Other graphical parameters for <code><a rd-options='' href='plot'>plot</a></code>.

plot.bbl: Plot bbl object

Description

Usage

Arguments

Details