CRAN/E | BayesianTools

BayesianTools

General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics

Installation

About

General-purpose MCMC and SMC samplers, as well as plot and diagnostic functions for Bayesian statistics, with a particular focus on calibrating complex system models. Implemented samplers include various Metropolis MCMC variants (including adaptive and/or delayed rejection MH), the T-walk, two differential evolution MCMCs, two DREAM MCMCs, and a sequential Monte Carlo (SMC) particle filter.

github.com/florianhartig/BayesianTools
Bug report File report

Key Metrics

Version 0.1.7
R ≥ 3.1.2
Published 2019-12-09 1600 days ago
Needs compilation? yes
License GPL-3
CRAN checks BayesianTools results

Downloads

Yesterday 21 -40%
Last 7 days 132 -10%
Last 30 days 620 -18%
Last 90 days 1.977 -30%
Last 365 days 8.996 +18%

Maintainer

Maintainer

Florian Hartig

florian.hartig@biologie.uni-regensburg.de

Authors

Florian Hartig

aut / cre

Francesco Minunno

aut

Stefan Paul

aut

David Cameron

ctb

Tankred Ott

ctb

Maximilian Pichler

ctb

Material

NEWS
Reference manual
Package source

In Views

Bayesian

Vignettes

Manual for the BayesianTools R package
Interfacing your model with R

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

BayesianTools archive

Depends

R ≥ 3.1.2

Imports

coda
emulator
mvtnorm
tmvtnorm
IDPmisc
Rcpp ≥ 0.12.12
ellipse
numDeriv
msm
MASS
Matrix
stats
utils
graphics
DHARMa
gap
bridgesampling

Suggests

DEoptim
lhs
sensitivity
knitr
rmarkdown
roxygen2
testthat

LinkingTo

Rcpp

Reverse Suggests

apsimx
ProfoundData
r3PG

Reverse Enhances

DHARMa