Package: chainbinomial 0.1.9

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]

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chainbinomial.pdf |chainbinomial.html
chainbinomial/json (API)
NEWS

# 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:

5.15 score 5 scripts 206 downloads 12 exports 1 dependencies

Last updated 1 months agofrom:c5d87553c7. Checks:1 OK, 7 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 19 2025
R-4.5-winWARNINGFeb 19 2025
R-4.5-macWARNINGFeb 19 2025
R-4.5-linuxWARNINGFeb 19 2025
R-4.4-winWARNINGFeb 19 2025
R-4.4-macWARNINGFeb 19 2025
R-4.3-winWARNINGFeb 19 2025
R-4.3-macWARNINGFeb 19 2025

Exports:cbmoddcbhyperdchainbinomecbhyperechainbinomestimate_sarestimate_sar_cbhyperglancepchainbinomrchainbinomtidyvarchainbinom

Dependencies:generics

Analyzing chain data with glm

Rendered fromchain_glm.Rmdusingknitr::rmarkdownon Feb 19 2025.

Last update: 2024-05-16
Started: 2024-05-14

Introduction to the chainbinomial package

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Feb 19 2025.

Last update: 2024-05-14
Started: 2024-05-02