Package: chainbinomial 0.1.10

chainbinomial: Chain Binomial Models for Analysis of Infectious Disease Data

Implements the chain binomial model for analysis of infectious disease data. Contains functions for calculating probabilities of the final size of infectious disease outbreaks using the method from D. Ludwig (1975) <doi:10.1016/0025-5564(75)90119-4> and for outbreaks that are not concluded, from Lindstrøm et al. (2024) <doi:10.48550/arXiv.2403.03948>. The package also contains methods for estimation and regression analysis of secondary attack rates.

Authors:Jonas Christoffer Lindstrøm [aut, cre]

chainbinomial_0.1.10.tar.gz
chainbinomial_0.1.10.zip(r-4.7)chainbinomial_0.1.10.zip(r-4.6)chainbinomial_0.1.10.zip(r-4.5)
chainbinomial_0.1.10.tgz(r-4.6-any)chainbinomial_0.1.10.tgz(r-4.5-any)
chainbinomial_0.1.10.tar.gz(r-4.7-any)chainbinomial_0.1.10.tar.gz(r-4.6-any)
chainbinomial_0.1.10.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
chainbinomial/json (API)

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

Bug tracker:https://github.com/opisthokonta/chainbinomial/issues

Datasets:

On CRAN:

Conda:

4.00 score 5 scripts 137 downloads 16 exports 4 dependencies

Last updated from:c4d49304e6. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK128
source / vignettesOK221
linux-release-x86_64OK132
macos-release-arm64OK152
macos-oldrel-arm64OK87
windows-develOK99
windows-releaseOK113
windows-oldrelOK78
wasm-releaseOK103

Exports:cbmoddcbhyperdchainbinomdchainbinom2ecbhyperechainbinomechainbinom2estimate_sarestimate_sar_cbhyperglancepchainbinompchainbinom2rchainbinomtidyvarchainbinomvarchainbinom2

Dependencies:cligenericslifecyclerlang

Analyzing chain data with glm
The data | Data processing | Binomial log-linear models | Fitting the model | Analysis of final outbreak size | Other models for the escape probability | Becker's general model | References
Rendered fromchain_glm.Rmdusingknitr::rmarkdown

Last update: 2026-05-27
Started: 2024-05-14

Introduction to the chainbinomial package
The Chain Binomial model | The final Chain Binomial count probabilities | The incomplete Chain Binomial count probabilities | Estimating the transmission probability | Regression model | References
Rendered fromintroduction.Rmdusingknitr::rmarkdown

Last update: 2026-05-27
Started: 2024-05-02