methods, stats, utils, Rcpp (>= 0.12.16), pROC, RColorBrewer
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.
Woo et al. (2016) <doi:10.1186/s12864-016-2871-3>.

c(person("Jun","Woo",role=c("aut","cre"),
email="junwoo035@gmail.com",
comment=c(ORCID="0000-0003-3220-2064")),
person("Jinhua","Wang", role=c("ctb")))

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>.

Ben Bolker <bolker@zoo.ufl.edu>, modifying code by Peter Dalgaard and other R-core members
modifications and extensions of stats4 mle code

Tools for general maximum likelihood estimation
Ben Bolker <bolker@zoo.ufl.edu>, based on stats4 by the R Development Core Team
R (>= 2.0.0), methods, stats, graphics, nlme
Methods and functions for fitting maximum likelihood models in R.  This package modifies and extends the mle classes in the stats4 package.

Ben Bolker <bolker@zoo.ufl.edu>; based on stats4 by the R Development Core Team

Ben Bolker <bolker@ufl.edu>; based on stats4 by the R
Development Core Team
Methods and functions for fitting maximum likelihood
models in R.  This package modifies and extends the mle classes
in the stats4 package.

R (>= 2.0.0), methods, stats, graphics, stats4, numDeriv

Ben Bolker <bolker@mcmaster.ca>, R Development Core Team
R (>= 2.0.0), methods, stats, graphics, stats4, numDeriv,
lattice, MASS
aod, emdbook, rms, ggplot2, RUnit, MuMIn, AICcmodavg