Implements an objective Bayes intrinsic conditional autoregressive prior. This model provides an objective Bayesian approach for modeling spatially correlated areal data using an intrinsic conditional autoregressive prior on a vector of spatial random effects.
Bayesian model selection for probabalistic genotyping of tandem repeats. Priors based on error rates derived from a Drosophila panel bred to homozygosity.
Software – https://github.com/adaptivegenome/repeatseq
R package to detect hidden additive interaction effects in two way unreplicated factorial studies.
Discounting Model Selector
Model fitting, approximate Bayesian model selection (based on BIC), and estimation of effective delay 50 for delay discounting indifference point data.