Package: pempi 1.0.0

Stéphane Guerrier

pempi: Proportion Estimation with Marginal Proxy Information

Tools for the conditional estimation of the prevalence of an emerging or rare infectious disease, combining a survey sample with population-level case-count data and accounting for measurement error. Implements the methods proposed in Guerrier, Kuzmics and Victoria-Feser (2024) <doi:10.1080/01621459.2024.2313790>. The companion paper received the 2024 JASA Reproducibility Award.

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

pempi_1.0.0.tar.gz
pempi_1.0.0.zip(r-4.7)pempi_1.0.0.zip(r-4.6)pempi_1.0.0.zip(r-4.5)
pempi_1.0.0.tgz(r-4.6-any)pempi_1.0.0.tgz(r-4.5-any)
pempi_1.0.0.tar.gz(r-4.7-any)pempi_1.0.0.tar.gz(r-4.6-any)
pempi_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
pempi/json (API)

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

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

Pkgdown/docs site:https://stephaneguerrier.github.io

Datasets:

On CRAN:

Conda:

covidprevalencerare-infectious-diseasesstatistics

4.65 score 15 scripts 169 downloads 7 exports 0 dependencies

Last updated from:bf63e66881. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK120
source / vignettesOK225
linux-release-x86_64OK109
macos-release-arm64OK112
macos-oldrel-arm64OK85
windows-develOK72
windows-releaseOK68
windows-oldrelOK63
wasm-releaseOK89

Exports:conditional_mleget_probmarginal_mlemoment_estimatorsim_Rssurvey_mleupdate_prevalence

Dependencies:

Get Started

Rendered fromget_started.Rmdusingknitr::rmarkdownon May 15 2026.

Last update: 2026-05-15
Started: 2022-05-02

How to Cite

Rendered fromcitation.Rmdusingknitr::rmarkdownon May 15 2026.

Last update: 2026-05-15
Started: 2026-05-15

Results Reproducibility

Rendered fromreproducibility.Rmdusingknitr::rmarkdownon May 15 2026.

Last update: 2026-05-15
Started: 2021-01-19