Package: baclava 1.0

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_1.0.tar.gz
baclava_1.0.zip(r-4.5)baclava_1.0.zip(r-4.4)baclava_1.0.zip(r-4.3)
baclava_1.0.tgz(r-4.4-x86_64)baclava_1.0.tgz(r-4.4-arm64)baclava_1.0.tgz(r-4.3-x86_64)baclava_1.0.tgz(r-4.3-arm64)
baclava_1.0.tar.gz(r-4.5-noble)baclava_1.0.tar.gz(r-4.4-noble)
baclava_1.0.tgz(r-4.4-emscripten)baclava_1.0.tgz(r-4.3-emscripten)
baclava.pdf |baclava.html
baclava/json (API)

# Install 'baclava' in R:
install.packages('baclava', repos = c('https://sth1402.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

On CRAN:

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

1.00 score 275 downloads 4 exports 44 dependencies

Last updated 2 months agofrom:63d6e8e6c6. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-win-x86_64OKOct 26 2024
R-4.5-linux-x86_64OKOct 26 2024
R-4.4-win-x86_64OKOct 26 2024
R-4.4-mac-x86_64OKOct 26 2024
R-4.4-mac-aarch64OKOct 26 2024
R-4.3-win-x86_64OKOct 26 2024
R-4.3-mac-x86_64OKOct 26 2024
R-4.3-mac-aarch64OKOct 26 2024

Exports:aloocvcohortODXfit_baclavapredictODX

Dependencies:clicodacodetoolscolorspacecpp11doParalleldplyrfansifarverforeachgenericsggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerRcppRcppEigenRcppNumericalrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr