Package: BayesBP 1.1
Li-Syuan Hong
BayesBP: Bayesian Estimation using Bernstein Polynomial Fits Rate Matrix
Smoothed lexis diagrams with Bayesian method specifically tailored to cancer incidence data. Providing to calculating slope and constructing credible interval. LC Chien et al. (2015) <doi:10.1080/01621459.2015.1042106>. LH Chien et al. (2017) <doi:10.1002/cam4.1102>.
Authors:
BayesBP_1.1.tar.gz
BayesBP_1.1.tar.gz(r-4.5-noble)BayesBP_1.1.tar.gz(r-4.4-noble)
BayesBP_1.1.tgz(r-4.4-emscripten)BayesBP_1.1.tgz(r-4.3-emscripten)
BayesBP.pdf |BayesBP.html✨
BayesBP/json (API)
| # Install 'BayesBP' in R: |
| install.packages('BayesBP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- simulated_data_1 - Generate simulated data 1
- simulated_data_2 - Generate simulated data 2
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:41e67b1738. Checks:3 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 09 2025 |
| R-4.5-linux | OK | Mar 09 2025 |
| R-4.4-linux | OK | Mar 09 2025 |
Exports:binBP2DBP2D_coefBP2D_tableBPbasisBPFhatCredible_intervalgen_dataMPD_BPbasisPD_BPFhatPD_Credible_intervalRhatscale_to_01write.BPwrite.BPtable
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Binomial function | bin |
| Bayesian estimation using two dimensions Bernstein polynomial | BP2D |
| Getting coefficeint from BP2D result. | BP2D_coef |
| Table and Criterion. | BP2D_table |
| Bernstein polynomial basis. | BPbasis |
| Two dimensional Bernstein polynomial | BPFhat |
| Credible interval. | Credible_interval |
| Generated data | gen_data |
| Risky population function | M |
| Partial differential Bernstein polynomial basis. | PD_BPbasis |
| Two dimensional Bernstein polynomial | PD_BPFhat |
| Credible interval. | PD_Credible_interval |
| Gelman Rubin statistics. | Rhat |
| Scale to [0,1] | scale_to_01 |
| Generate simulated data 1 | simulated_data_1 |
| Generate simulated data 2 | simulated_data_2 |
| Write xlsx file | write.BP |
| Write BPtalbe as xlsx file | write.BPtable |