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:
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')) |
- all_cause_rates - All Cause Mortality Rates
- data.clinical - Toy Dataset
- data.screen - Toy Dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:63d6e8e6c6. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 26 2024 |
R-4.5-win-x86_64 | OK | Oct 26 2024 |
R-4.5-linux-x86_64 | OK | Oct 26 2024 |
R-4.4-win-x86_64 | OK | Oct 26 2024 |
R-4.4-mac-x86_64 | OK | Oct 26 2024 |
R-4.4-mac-aarch64 | OK | Oct 26 2024 |
R-4.3-win-x86_64 | OK | Oct 26 2024 |
R-4.3-mac-x86_64 | OK | Oct 26 2024 |
R-4.3-mac-aarch64 | OK | Oct 26 2024 |
Exports:aloocvcohortODXfit_baclavapredictODX
Dependencies:clicodacodetoolscolorspacecpp11doParalleldplyrfansifarverforeachgenericsggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerRcppRcppEigenRcppNumericalrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
All Cause Mortality Rates | all_cause_rates |
Approximate Leave-One-Out Cross-Validation | aloocv |
Cohort-specific Overdiagnosis | cohortODX |
Bayesian Analysis of Cancer Latency with Auxiliary Variable Augmentation | fit_baclava print.baclava summary.baclava |
Plot Posterior Distribution Parameters | plot.baclava |
Estimate the Overall and Per Screen Overdiagnosis Rates | plot.baclava.ODX.pred predictODX |
Toy Dataset | data.clinical data.screen screen_data |