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:Li-Syuan Hong [aut, cre]

BayesBP_1.1.tar.gz
BayesBP_1.1.zip(r-4.7-any)BayesBP_1.1.zip(r-4.6-any)
BayesBP_1.1.tar.gz(r-4.7-any)BayesBP_1.1.tar.gz(r-4.6-any)
BayesBP_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
BayesBP/json (API)

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

On CRAN:

Conda:

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

1.00 score 3 scripts 330 downloads 16 exports 6 dependencies

Last updated from:41e67b1738. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK131
source / vignettesOK179
linux-releaseOK128
windows-develOK69
windows-releaseOK75
wasm-releaseOK102

Exports:binBP2DBP2D_coefBP2D_tableBPbasisBPFhatCredible_intervalgen_dataMPD_BPbasisPD_BPFhatPD_Credible_intervalRhatscale_to_01write.BPwrite.BPtable

Dependencies:cliiteratorsopenxlsxRcppstringizip