Package: chainbinomial 0.1.7

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'))

Peer review:

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

Datasets:

On CRAN:

10 exports 1.59 score 1 dependencies 5 scripts 187 downloads

Last updated 2 months agofrom:0a7560aa84. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 06 2024
R-4.5-winOKSep 06 2024
R-4.5-linuxOKSep 06 2024
R-4.4-winOKSep 06 2024
R-4.4-macOKSep 06 2024
R-4.3-winOKSep 06 2024
R-4.3-macOKSep 06 2024

Exports:cbmoddcbhyperdchainbinomecbhyperechainbinomestimate_sarestimate_sar_cbhyperglancerchainbinomtidy

Dependencies:generics

Analyzing chain data with glm

Rendered fromchain_glm.Rmdusingknitr::rmarkdownon Sep 06 2024.

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

Introduction to the chainbinomial package

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Sep 06 2024.

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