Seurat, SeuratObject, tidytable, uwot (>= 0.1.14)

Imports: methods, stats, utils, Rcpp (>= 0.12.16), pROC
Description: 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 and mean field
inference can be used with L2 regularization, cross-validation, and

Imports: methods, stats, utils, Rcpp (>= 0.12.16), pROC, RColorBrewer
heterogeneous levels. Either pseudo-likelihood or mean field

Title: Modified version of stats4 mle code
Author: Ben Bolker <bolker@zoo.ufl.edu>, modifying code by Peter Dalgaard and other R-core members
Depends: R (>= 2.0.0), methods, stats, graphics
Description: modifications and extensions of stats4 mle code

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

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

Packaged: Wed Feb  4 05:14:44 2009; rforge

Author: Ben Bolker <bolker@ufl.edu>; based on stats4 by the R
Suggests: aod, emdbook, Hmisc, nlme, ggplot2
Description: Methods and functions for fitting maximum likelihood
models in R.  This package modifies and extends the mle classes

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

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

Suggests: aod, emdbook, rms, ggplot2, RUnit, MuMIn, AICcmodavg, Hmisc,
Collate: mle2-class.R mle2-methods.R mle.R confint.R predict.R

Suggests: emdbook, rms, ggplot2, RUnit, MuMIn, AICcmodavg, Hmisc,
Description: Methods and functions for fitting maximum likelihood models in R.
This package modifies and extends the mle classes in the stats4 package.
Collate: 'mle2-class.R' 'mle2-methods.R' 'mle.R' 'confint.R'
'predict.R' 'profile.R' 'update.R' 'dists.R' 'IC.R' 'slice.R'