Authors@R: c(person("Cyril", "Piou", role = c("aut", "cre"), email = "cyril.piou@cirad.fr"))
Description: Calculations of an information criterion are proposed to check the quality of simulations results of Agent-based models (ABM/IBM) or other non-linear rule-based models. The POMDEV measure (Pattern Oriented Modelling DEViance) is based on the Kullback-Leibler divergence and likelihood theory. It basically indicates the deviance of simulation results from field observations. Once POMDEV scores and metropolis-hasting sampling on different model versions are effectuated, POMIC scores (Pattern Oriented Modelling Information Criterion) can be calculated. This method could be further developed to incorporate multiple patterns assessment. Piou C, U Berger and V Grimm (2009) <doi:10.1016/j.ecolmodel.2009.05.003>.

Title: Prevalence and Regression for Pool-Tested (Group-Tested) Data
Description: An easy-to-use tool for working with presence/absence tests on 'pooled'
or 'grouped' samples. The primary application is for estimating prevalence of
a marker in a population based on the results of tests on pooled specimens.
This sampling method is often employed in surveillance of rare conditions in
humans or animals (e.g. molecular xenomonitoring). The package was initially
conceived as an R-based alternative to the molecular xenomonitoring software,
'PoolScreen' <https://sites.uab.edu/statgenetics/software/>. However, it goes
further, allowing for estimates of prevalence to be adjusted for hierarchical
sampling frames, and perform flexible mixed-effect regression analyses
(McLure et al. pre-print <arXiv:2012.05405>). The package is currently in
early stages, however more features are planned or in the works: e.g.
adjustments for imperfect test specificity/sensitivity, functions for helping
with optimal experimental design, and functions for spatial modelling.
Imports: dplyr, methods, Rcpp (>= 0.12.0), rstan (>= 2.18.1),
rstantools (>= 2.0.0), brms, stats, lme4, stringr, progress
Author: Angus McLure [aut, cre] (<https://orcid.org/0000-0003-2551-3059>)