Package: bayescoveragedeploy 0.2

Leontine Alkema

bayescoveragedeploy: Precompiled Stan Models for Deployment of Bayesian Coverage Model

Provides precompiled Stan models for fitting local country-level Bayesian hierarchical transition models for health coverage indicators. This package uses the rstan backend with precompiled models for users without C++ compilers. All core functionality is provided by the bayescoveragemodel package.

Authors:Leontine Alkema [aut, cre]

bayescoveragedeploy_0.2.tar.gz
bayescoveragedeploy_0.2.zip(r-4.7)bayescoveragedeploy_0.2.zip(r-4.6)bayescoveragedeploy_0.2.zip(r-4.5)
bayescoveragedeploy_0.2.tgz(r-4.6-x86_64)bayescoveragedeploy_0.2.tgz(r-4.6-arm64)bayescoveragedeploy_0.2.tgz(r-4.5-x86_64)bayescoveragedeploy_0.2.tgz(r-4.5-arm64)
bayescoveragedeploy_0.2.tar.gz(r-4.7-arm64)bayescoveragedeploy_0.2.tar.gz(r-4.7-x86_64)bayescoveragedeploy_0.2.tar.gz(r-4.6-arm64)bayescoveragedeploy_0.2.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
card.svg |card.png
bayescoveragedeploy/json (API)

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

Bug tracker:https://github.com/alkemalab/bayescoveragedeploy/issues

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

On CRAN:

Conda:

cpp

2.00 score 8 scripts 1 exports 130 dependencies

Last updated from:6f5504b02e. Checks:9 OK, 3 WARNING, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK578
linux-devel-x86_64OK553
source / vignettesOK545
linux-release-arm64OK559
linux-release-x86_64OK501
macos-release-arm64OK455
macos-release-x86_64OK1127
macos-oldrel-arm64OK676
macos-oldrel-x86_64OK763
windows-develWARNING770
windows-releaseWARNING779
windows-oldrelWARNING801
wasm-releaseFAIL199

Exports:fit_local_model

Dependencies:abindarrayhelpersbackportsbayescoveragemodelbayesplotBHbitbit64bootbridgesamplingbrmsBrobdingnagbroomcallrcarcarDatacheckmateclicliprcodacodetoolscolorspacecorrplotcowplotcpp11crayonDerivdescdigestdistributionaldoBydplyrfarverforecastFormulafracdifffuturefuture.applygenericsggdistggnewscaleggplot2ggpubrggrepelggridgesggsciggsignifglobalsgluegridExtragtablehmsinlineisobandlabelinglatticelifecyclelistenvlme4lmtestloomagrittrMASSMatrixMatrixModelsmatrixStatsmgcvmicrobenchmarkminqamodelrmvtnormnleqslvnlmenloptrnnetnumDerivotelparallellypbkrtestpillarpkgbuildpkgconfigplyrpolynomposteriorprettyunitsprocessxprogresspspurrrquadprogquantregQuickJSRR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackreadrreformulasreshape2rlangrstanrstantoolsrstatixS7scalesSparseMStanHeadersstringistringrsurvivalsvUnittensorAtibbletidybayestidyrtidyselecttimeDatetzdburcautf8vctrsviridisLitevroomwithrzoo

Readme and manuals

Help Manual

Help pageTopics
The 'bayescoveragedeploy' package.bayescoveragedeploy-package bayescoveragedeploy
Fit local country model with precompiled Stan modelsfit_local_model