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pempi  

Proportion Estimation with Marginal Proxy Information
View on CRAN: Click here


Download and install pempi package within the R console
Install from CRAN:
install.packages("pempi")

Install from Github:
library("remotes")
install_github("cran/pempi")

Install by package version:
library("remotes")
install_version("pempi", "1.0.0")



Attach the package and use:
library("pempi")
Maintained by
Stéphane Guerrier
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-09
Latest Update: 2023-10-09
Description:
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) .
How to cite:
Stéphane Guerrier (2023). pempi: Proportion Estimation with Marginal Proxy Information. R package version 1.0.0, https://cran.r-project.org/web/packages/pempi. Accessed 04 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited pempi R package
View pempi citation profile
Other R packages that pempi depends, imports, suggests or enhances
Complete documentation for pempi
Functions, R codes and Examples using the pempi R package
Some associated functions: conditional_mle . covid19_austria . get_prob . log_modified . marginal_mle . moment_estimator . neg_log_lik . neg_log_lik_integrated . neg_log_wlik . print.cpreval . print.cpreval_sim . sim_Rs . survey_mle . update_prevalence . 
Some associated R codes: data.R . estimation.R . simulate.R .  Full pempi package functions and examples
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