The proportion estimation with marginal proxy information (pempi) package, allows to estimate and build confidence intervals for proportions, from random or stratified samples and census data with participation bias. Measurement errors in the form of false positive and false negative are also included in the inferential procedure. The pempi package also contains code for simulation studies and sensitivity analysis reported in the companion paper Guerrier et al. (2024), as well as the Austrian dataset on COVID-19 prevalence in November 2020.
Stephane Guerrier, C.K. (2024). Proportion Estimation with Marginal Proxy Information (pempi).
Proportion Estimation with Marginal Proxy Information (pempi)
Maria-Pia Victoria Feser
2024
Abstract
The proportion estimation with marginal proxy information (pempi) package, allows to estimate and build confidence intervals for proportions, from random or stratified samples and census data with participation bias. Measurement errors in the form of false positive and false negative are also included in the inferential procedure. The pempi package also contains code for simulation studies and sensitivity analysis reported in the companion paper Guerrier et al. (2024), as well as the Austrian dataset on COVID-19 prevalence in November 2020.File in questo prodotto:
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