Package: pempi 1.0.0

Stéphane Guerrier

pempi: Proportion Estimation with Marginal Proxy Information

A system contains easy-to-use tools for the conditional estimation of the prevalence of an emerging or rare infectious diseases using the methods proposed in Guerrier et al. (2023) <arxiv:2012.10745>.

Authors:Stéphane Guerrier [aut, cre], Maria-Pia Victoria-Feser [aut], Christoph Kuzmics [aut]

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pempi.pdf |pempi.html✨
pempi/json (API)

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

Peer review:

Bug tracker:https://github.com/stephaneguerrier/pempi/issues

Datasets:

On CRAN:

covidprevalencerare-infectious-diseasesstatistics

4.30 score 9 scripts 113 downloads 7 exports 0 dependencies

Last updated 10 months agofrom:df30200133. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winOKOct 27 2024
R-4.5-linuxOKOct 27 2024
R-4.4-winOKOct 27 2024
R-4.4-macOKOct 27 2024
R-4.3-winOKOct 27 2024
R-4.3-macOKOct 27 2024

Exports:conditional_mleget_probmarginal_mlemoment_estimatorsim_Rssurvey_mleupdate_prevalence

Dependencies:

pempi Vignette

Rendered fromget_started.Rmdusingknitr::rmarkdownon Oct 27 2024.

Last update: 2023-10-04
Started: 2022-05-02

Results Reproducibility

Rendered fromreproducibility.Rmdusingknitr::rmarkdownon Oct 27 2024.

Last update: 2023-10-09
Started: 2021-01-19