Package: BayesianFitForecast 1.0.0

Gerardo Chowell

BayesianFitForecast: Bayesian Parameter Estimation and Forecasting for Epidemiological Models

Methods for Bayesian parameter estimation and forecasting in epidemiological models. Functions enable model fitting using Bayesian methods and generate forecasts with uncertainty quantification. Implements approaches described in <doi:10.48550/arXiv.2411.05371> and <doi:10.1002/sim.9164>.

Authors:Hamed Karami [aut], Amanda Bleichrodt [aut], Ruiyan Luo [aut], Gerardo Chowell [aut, cre]

BayesianFitForecast_1.0.0.tar.gz
BayesianFitForecast_1.0.0.tar.gz(r-4.5-noble)BayesianFitForecast_1.0.0.tar.gz(r-4.4-noble)
BayesianFitForecast_1.0.0.tgz(r-4.4-emscripten)BayesianFitForecast_1.0.0.tgz(r-4.3-emscripten)
BayesianFitForecast.pdf |BayesianFitForecast.html✨
BayesianFitForecast/json (API)

# Install 'BayesianFitForecast' in R:
install.packages('BayesianFitForecast', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/gchowell/bayesianfitforecast/issues

2.00 score 2 exports 70 dependencies

Last updated 21 days agofrom:f03f3e431d. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 05 2024
R-4.5-linuxOKDec 05 2024

Exports:Run_analyzeResultsRun_MCMC

Dependencies:abindbackportsbayesplotBHcallrcellrangercheckmateclicolorspacecpp11crayondescdistributionaldplyrfansifarvergenericsggplot2ggridgesgluegridExtragtablehmsinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivopenxlsxpillarpkgbuildpkgconfigplyrposteriorprettyunitsprocessxprogresspsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelreadxlrematchreshape2rlangrstanscalesStanHeadersstringistringrtensorAtibbletidyselectutf8vctrsviridisLitewithrzip

Getting Started with BayesianFitForecast

Rendered fromBayesianFitForecast.Rmdusingknitr::rmarkdownon Dec 05 2024.

Last update: 2024-12-05
Started: 2024-12-05