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
idbrms_0.0.0.9000.zip(r-4.7)idbrms_0.0.0.9000.zip(r-4.6)idbrms_0.0.0.9000.zip(r-4.5)
idbrms_0.0.0.9000.tgz(r-4.6-any)idbrms_0.0.0.9000.tgz(r-4.5-any)
idbrms_0.0.0.9000.tar.gz(r-4.7-any)idbrms_0.0.0.9000.tar.gz(r-4.6-any)
idbrms_0.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
idbrms/json (API)

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

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

On CRAN:

Conda:

brmsinfectious-disease-modelsopensource

2.60 score 4 stars 3 scripts 7 exports 75 dependencies

Last updated from:f5a1c25fde. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK255
source / vignettesOK219
linux-release-x86_64OK269
macos-release-arm64OK153
macos-oldrel-arm64OK128
windows-develOK209
windows-releaseOK227
windows-oldrelOK205
wasm-releaseOK153

Exports:expose_idbrms_stan_fnsid_formulaid_priorsid_stancodeidbrmidbrms_stan_chunkprepare

Dependencies:abindbackportsbayesplotBHbridgesamplingbrmsBrobdingnagcallrcheckmateclicodacodetoolscpp11data.tabledescdigestdistributionaldplyrfarverfuturefuture.applygenericsggplot2ggridgesglobalsgluegridExtragtableinlineisobandlabelinglatticelifecyclelistenvloomagrittrMatrixmatrixStatsmgcvmvtnormnleqslvnlmenumDerivparallellypillarpkgbuildpkgconfigplyrposteriorprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelreshape2rlangrstanrstantoolsS7scalesStanHeadersstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr