Title: Bayesian Random-Effects Meta-Analysis and Meta-Regression
Depends: forestplot (>= 2.0.0), metafor (>= 2.0-0), mvtnorm (>= 1.1-1),
Packaged: 2022-02-21 11:31:19 UTC; christian

Description: A collection of functions allowing to derive the posterior distribution of the model parameters in random-effects meta-analysis or meta-regression, and providing functionality to evaluate joint and marginal posterior probability distributions, predictive distributions, shrinkage effects, posterior predictive p-values, etc.; For more details, see also Roever C (2020) <doi:10.18637/jss.v093.i06>, or Roever C and Friede T (2022) <arXiv:2209.06004>.
Packaged: 2022-09-14 07:48:12 UTC; christian

Packaged: 2022-09-29 10:47:18 UTC; christian

Title: Bayesian Mixture Models with JAGS
Description: Bayesian mixture models of univariate Gaussian distributions using JAGS
Packaged: Wed May 19 09:57:59 2004; gruen

Packaged: Thu Feb 10 10:09:47 2005; gruen

Packaged: Wed Apr 11 13:19:21 2007; gruen

Packaged: Tue May 20 09:05:47 2008; gruen

Description: Bayesian mixture models of univariate Gaussian

Authors@R: c(person("Bettina", "Gruen", role = c("aut", "cre"),
person("Martyn", "Plummer", role = "ctb"))

Imports: graphics, stats, methods, rjags (>= 2.1.0), coda (>= 0.13)
Description: The fitting of finite mixture models of univariate
Gaussian distributions using JAGS within a Bayesian

person("Martyn", "Plummer", role = "ctb",
Description: Fits finite mixture models of univariate Gaussian distributions using JAGS within a Bayesian framework.
Author: Bettina Gruen [aut, cre] (<https://orcid.org/0000-0001-7265-4773>),

Title: The 'Tidymodels' Extension for Bayesian Models
person("Alberto", "Almuiña", email = "albertogonzalezalmuinha@gmail.com", role = c("aut", "cre"))
Description: Bayesian framework for use with the 'tidymodels' ecosystem. Includes the following models: Sarima, Garch,
Random walk (naive), Additive Linear State Space Models, Stochastic Volatily Models from 'bayesforecast' package,
Adaptive Splines Surfaces from 'BASS' package and ETS from 'Rlgt' package.
Depends: R (>= 4.0.0), parsnip, bayesforecast, bsts
Imports: rlang (>= 0.1.2), brms, BASS, StanHeaders, Rlgt, rstan,
magrittr, purrr, dplyr, stringr, tibble, tidyr, dials, rsample,
Suggests: tidymodels, tidyverse, lubridate, knitr, rmarkdown, roxygen2,