Imports: Formula, MBA, mvtnorm, sp, Matrix, survival, methods,
Suggests: akima, ff, ffbase, fields, gamlss, geoR, rjags, BayesX,
BayesXsrc, R2BayesX, mapdata, maps, maptools, nnet, spatstat,
spdep, zoo, keras, splines2, sdPrior, statmod, glogis, glmnet,

person(given = "Nadja", family = "Klein", role = "aut", email = "nklein@uni-goettingen.de",
person(given = "Thorsten", family = "Simon", role = "aut", email = "Thorsten.Simon@uibk.ac.at",
Suggests: akima, ff, ffbase, fields, gamlss, gamlss.dist, geoR, rjags,
BayesX, BayesXsrc, R2BayesX, mapdata, maps, maptools, nnet,
spatstat, spdep, zoo, keras, splines2, sdPrior, statmod,
glogis, glmnet, scoringRules, knitr, rmarkdown, MASS

Suggests: akima, bit, ff, ffbase, fields, gamlss, gamlss.dist, geoR,
rjags, BayesX, BayesXsrc, R2BayesX, mapdata, maps, maptools,
nnet, spatstat, spdep, zoo, keras, splines2, sdPrior, statmod,

rjags, BayesX, mapdata, maps, maptools, nnet, spatstat, spdep,
zoo, keras, splines2, sdPrior, statmod, glogis, glmnet,
scoringRules, knitr, rmarkdown, MASS, tensorflow

<doi:10.1080/10618600.2017.1407325> and the R package in Umlauf, Klein, Simon, Zeileis (2021)

Suggests: akima, bit, ff, fields, gamlss, gamlss.dist, geoR, rjags,
BayesX, mapdata, maps, maptools, nnet, spatstat, spdep, zoo,
keras, splines2, sdPrior, statmod, glogis, glmnet,

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

Title: Bayesian Age-Period-Cohort Modeling and Prediction
Description: 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.
Imports: coda, graphics, parallel, stats, abind

Maintainer: Toby Dylan Hocking <toby.hocking@inria.fr>
Title: Breakpoint annotation model smoothing
Description: Data and code to allow reproduction of "Learning smoothing
Suggests: GLAD, DNAcopy, xtable, cghFLasso, flsa, cghseg, plyr,