Package: idbrms 0.0.0.9000

Sam Abbott

idbrms: Infectious Disease Modelling Using brms

Infectious disease modelling using brms.

Authors:Sam Abbott [aut, cre], Sebastian Funk [aut]

idbrms_0.0.0.9000.tar.gz
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idbrms.pdf |idbrms.html
idbrms/json (API)

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

Peer review:

Bug tracker:https://github.com/epiforecasts/idbrms/issues

On CRAN:

brmsinfectious-disease-modelsopensource

7 exports 4 stars 2.60 score 76 dependencies 3 scripts

Last updated 2 years agofrom:f5a1c25fde. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 24 2024
R-4.5-winOKSep 24 2024
R-4.5-linuxOKSep 24 2024
R-4.4-winOKSep 24 2024
R-4.4-macOKSep 24 2024
R-4.3-winOKSep 24 2024
R-4.3-macOKSep 24 2024

Exports:expose_idbrms_stan_fnsid_formulaid_priorsid_stancodeidbrmidbrms_stan_chunkprepare

Dependencies:abindbackportsbayesplotBHbridgesamplingbrmsBrobdingnagcallrcheckmateclicodacodetoolscolorspacedata.tabledescdigestdistributionaldplyrfansifarverfuturefuture.applygenericsggplot2ggridgesglobalsgluegridExtragtableinlineisobandlabelinglatticelifecyclelistenvloomagrittrMASSMatrixmatrixStatsmgcvmunsellmvtnormnleqslvnlmenumDerivparallellypillarpkgbuildpkgconfigplyrposteriorprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelreshape2rlangrstanrstantoolsscalesStanHeadersstringistringrtensorAtibbletidyselectutf8vctrsviridisLitewithr