(>= 1.1.1), mgcv (>= 1.8-13), rstantools, bayesplot, coda,

abind, statmod, stats, CircStats, RWiener, graphics, utils,
and link functions are supported, allowing users to fit
linear, robust linear, binomial, Poisson, survival, response times, ordinal,
zero-inflated, hurdle, and even non-linear models all in a multilevel context.
Further modeling options include auto-correlation and smoothing terms,
user defined dependence structures, censored data, meta-analytic
In addition, all parameters of the response distribution can be predicted
in order to perform distributional regression.
Prior specifications are flexible and explicitly encourage
In addition, model fit can easily be assessed and compared with
posterior predictive checks and leave-one-out cross-validation.

bayesplot, coda, abind, statmod, stats, CircStats, RWiener,

bayesplot (>= 1.1.0), nlme, coda, abind, statmod, stats,
CircStats, RWiener, evd, graphics, utils, parallel, grDevices,
zero-inflated, hurdle, and even non-linear models all in a
multilevel context. Further modeling options include auto-correlation
and smoothing terms, user defined dependence structures, censored data,
meta-analytic standard errors, and quite a few more.

bayesplot (>= 1.1.0), matrixStats, nlme, coda, abind, statmod,
stats, RWiener, evd, graphics, utils, parallel, grDevices,

bayesplot (>= 1.1.0), matrixStats, nlme, coda, abind, stats,
RWiener, graphics, utils, parallel, grDevices,

bayesplot (>= 1.2.0), matrixStats, nlme, coda, abind, stats,
Suggests: testthat (>= 0.9.1), arm, mvtnorm, R.rsp, knitr, rmarkdown

Suggests: testthat (>= 0.9.1), arm, mvtnorm, MCMCglmm, ape, R.rsp,

matrixStats, nlme, coda, abind, stats, utils, parallel,
Suggests: shinystan (>= 2.2.1), testthat (>= 0.9.1), RWiener, future,
arm, spdep, mnormt, MCMCglmm, ape, R.rsp, knitr, rmarkdown

Description: Fit Bayesian generalized (non-)linear multivariate multilevel models

(>= 2.4.0), bridgesampling (>= 0.3-0), matrixStats, nlme, coda,
abind, stats, utils, parallel, grDevices,

(>= 2.4.0), bridgesampling (>= 0.3-0), matrixStats, nleqslv,
nlme, coda, abind, stats, utils, parallel, grDevices,
Suggests: testthat (>= 0.9.1), RWiener, future, mice, arm, spdep,
mnormt, MCMCglmm, ape, R.rsp, knitr, rmarkdown