Package: baclava 1.1

baclava: Bayesian Analysis of Cancer Latency with Auxiliary Variable Augmentation

A novel data-augmentation Markov chain Monte Carlo sampling algorithm to fit a progressive compartmental model of disease in a Bayesian framework Morsomme, R.N., Holloway, S.T., Ryser, M.D. and Xu J. (2024) <doi:10.48550/arXiv.2408.14625>.

Authors:Raphael N. Morsomme [aut], Shannon T. Holloway [aut, cre], Jason Xu [ctb], Marc D. Ryser [ctb]

baclava_1.1.tar.gz
baclava_1.1.zip(r-4.7-x86_64)baclava_1.1.zip(r-4.6-x86_64)baclava_1.1.zip(r-4.5-x86_64)
baclava_1.1.tgz(r-4.6-x86_64)baclava_1.1.tgz(r-4.6-arm64)baclava_1.1.tgz(r-4.5-x86_64)baclava_1.1.tgz(r-4.5-arm64)
baclava_1.1.tar.gz(r-4.7-arm64)baclava_1.1.tar.gz(r-4.7-x86_64)baclava_1.1.tar.gz(r-4.6-arm64)baclava_1.1.tar.gz(r-4.6-x86_64)
baclava_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
baclava/json (API)

# Install 'baclava' in R:
install.packages('baclava', repos = c('https://sth1402.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 542 downloads 4 exports 38 dependencies

Last updated from:c4c03e4917. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK179
linux-devel-x86_64OK182
source / vignettesOK268
linux-release-arm64OK194
linux-release-x86_64OK206
macos-release-arm64OK103
macos-release-x86_64OK268
macos-oldrel-arm64OK148
macos-oldrel-x86_64OK218
windows-develOK153
windows-releaseOK149
windows-oldrelOK201
wasm-releaseOK138

Exports:aloocvcohortODXfit_baclavapredictODX

Dependencies:clicodacodetoolscpp11doParalleldplyrfarverforeachgenericsggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerRcppRcppEigenRcppNumericalrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr