Package: jointlyr 0.0.1

Sangeeta Bhatia

jointlyr: Joint estimation of initial incidence and reproduction number

Provides a Stan implementation of a method to jointly estimate incidence and reproduction number.

Authors:Sangeeta Bhatia [aut, cre], Pierre Nouvellet [aut], Anne Cori [aut], Jack Wardle [aut]

jointlyr_0.0.1.tar.gz
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jointlyr.pdf |jointlyr.html✨
jointlyr/json (API)

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

Peer review:

Bug tracker:https://github.com/mrc-ide/jointlyr/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

2.00 score 1 scripts 1 exports 78 dependencies

Last updated 2 years agofrom:614603f6c5 (on master). Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-win-x86_64NOTEOct 26 2024
R-4.5-linux-x86_64NOTEOct 26 2024
R-4.4-win-x86_64NOTEOct 26 2024
R-4.4-mac-x86_64NOTEOct 26 2024
R-4.4-mac-aarch64NOTEOct 26 2024
R-4.3-win-x86_64NOTEOct 26 2024
R-4.3-mac-x86_64NOTEOct 26 2024
R-4.3-mac-aarch64NOTEOct 26 2024

Exports:jointly_estimate

Dependencies:abindaweekbackportsBHcallrcheckmateclicoarseDataToolscodacolorspacecpp11descdistcretedistributionaldplyrEpiEstimepitrixfansifarverfitdistrplusgenericsggplot2gluegridExtragtableincidenceinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixMatrixModelsmatrixStatsmcmcMCMCpackmgcvmunsellnlmenumDerivpatchworkpillarpkgbuildpkgconfigplyrposteriorprocessxpspurrrquantregQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelreshape2rlangrstanrstantoolsscalessodiumSparseMStanHeadersstringistringrsurvivaltensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr

Using jointlyr

Rendered fromusing-jointlyr.Rmdusingknitr::rmarkdownon Oct 26 2024.

Last update: 2021-03-04
Started: 2021-03-04

Readme and manuals

Help Manual

Help pageTopics
The 'jointlyr' package.jointlyr-package jointlyr
Jointly estimate I0 and Rtjointly_estimate