akima, bit, ff, ffbase, fields, gamlss, gamlss.dist, geoR,
rjags, BayesX, mapdata, maps, maptools, nnet, spatstat, spdep,
zoo, keras, splines2, sdPrior, statmod, glogis, glmnet,
scoringRules, knitr, rmarkdown, MASS, tensorflow

Infrastructure for estimating probabilistic distributional regression models in a Bayesian framework.
The distribution parameters may capture location, scale, shape, etc. and every parameter may depend
on complex additive terms (fixed, random, smooth, spatial, etc.) similar to a generalized additive model.
The conceptual and computational framework is introduced in Umlauf, Klein, Zeileis (2019)
<doi:10.1080/10618600.2017.1407325> and the R package in Umlauf, Klein, Simon, Zeileis (2021)
<doi:10.18637/jss.v100.i04>.

akima, bit, ff, fields, gamlss, gamlss.dist, geoR, rjags,
BayesX, mapdata, maps, maptools, nnet, spatstat, spdep, zoo,
keras, splines2, sdPrior, statmod, glogis, glmnet,
scoringRules, knitr, rmarkdown, MASS, tensorflow

bit, ff, fields, gamlss, gamlss.dist, interp, rjags, BayesX,
mapdata, maps, maptools, nnet, spatstat, spdep, zoo, keras,
splines2, sdPrior, statmod, glogis, glmnet, scoringRules,
knitr, rmarkdown, MASS, tensorflow

Bayesian Age-Period-Cohort Modeling and Prediction
Volker Schmid [aut, cre],
Florian Geressen [ctb],
Leonhard Held [ctb],
Evi Rainer [ctb]
Bayesian Age-Period-Cohort Modeling and Prediction using efficient Markov Chain Monte Carlo Methods. This is the R version of the previous BAMP software as described in Volker Schmid and Leonhard Held (2007) <DOI:10.18637/jss.v021.i08> Bayesian Age-Period-Cohort Modeling and Prediction - BAMP, Journal of Statistical Software 21:8. This package includes checks of convergence using Gelman's R.

Data and code to allow reproduction of "Learning smoothing
models with breakpoint annotations."
GLAD, DNAcopy, xtable, cghFLasso, flsa, cghseg, plyr,
ggplot2, RColorBrewer, reshape2, lattice

GLAD, DNAcopy, xtable, cghFLasso, flsa, cghseg, grid, plyr,
ggplot2 (>= 0.9.0), RColorBrewer, reshape2, lattice, proto