PoolTestR v0.1.2 (Release date: 2021-07-XX)

We have published a paper about PoolTestR in Environmental Modelling and Software now available at https://doi.org/10.1016/j.envsoft.2021.105158. If you find this package useful, please let us know and/or cite our paper!

A couple bug fixes: * corrections to the Jeffrey’s prior in PoolPrev * improved numerical stability of hierarchical models – previous implementation was causing initialisation of MCMC to fail in some edge cases

A few improvements: * Allow user to specify level of confidence intervals and credible intervals * option for getPrevalence to return the posterior median as the point estimate (instead of the posterior mean) for Bayesian models with with PoolRegBayes * Implement PoolRegBayes with a logit link function as custom family in brms. This allows for better post-processing for the results of PoolRegBayes – e.g. simulating from the model, leave-one-out cross-validation, posterior predictive checks. see brms for details * Allow users to pass more control variables to MCMC sampling routines across PoolRegBayes, HierPoolPrev, and PoolPrev * Allows users to specify the scale parameter for the half-Cauchy hyper-prior or the standard deviations of the random effect terms in HierPoolPrev. Also reduced the default value of this hyperprior from 25 (very diffuse) to 2 (weakly informative). This is now very comparable to the equivalent default hyper-prior for brms models including those fit using PoolRegBayes (i.e. a half t distribution three degrees of freedom )

PoolTestR v0.1.1 (Release date: 2021-02-13)

Minor patch so that the package works across more platforms (namely solaris)

PoolTestR v0.1.0 (Release date: 2021-02-08)

This is our first official release! Please see the github site (https://github.com/AngusMcLure/PoolTestR#pooltestr) for a basic crash course on using the package. An upcoming (open access) journal article will go into further detail. A preprint can be accessed at https://arxiv.org/abs/2012.05405. I’ll post a link to the article when published.