BRcal
Implements both standard recalibration and boldness recalibration for binary event probability forecasts.
Paper – www.tandfonline.com/doi/full/10.1080/00031305.2024.2339266?src=exp-la
Software – https://cran.r-project.org/web/packages/BRcal/index.html
slgf
Implements Bayesian model selection for suspected latent grouping factor methodology. slgf detects latent heteroscedasticity or group-based regression effects based on the levels of a user-specified categorical predictor.
Paper – www.tandfonline.com/doi/full/10.1080/00401706.2020.1739561
Software – https://cran.r-project.org/web/packages/slgf/index.html
ref.ICAR
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.
Paper – https://projecteuclid.org/euclid.ba/1524124869
Software – https://cran.r-project.org/web/packages/ref.ICAR/index.html
Repeatseq
Bayesian model selection for probabilistic genotyping of tandem repeats. Priors based on error rates derived from a Drosophila panel bred to homozygosity.
Paper – https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3592458/
Software – https://github.com/adaptivegenome/repeatseq
hiddenf
R package to detect hidden additive interaction effects in two way unreplicated factorial studies.
Papers – https://journal.r-project.org/archive/2016/RJ-2016-011/index.html
https://www.sciencedirect.com/science/article/pii/S0167947313001618
Software – https://cran.r-project.org/web/packages/hiddenf/index.html
Discounting Model Selector
Model fitting, approximate Bayesian model selection (based on BIC), and estimation of effective delay 50 for delay discounting indifference point data.
Papers – https://www.ncbi.nlm.nih.gov/pubmed/25556903
https://www.ncbi.nlm.nih.gov/pubmed/28467023
Software – http://www.smallnstats.com/index.php?page=ModelSelectorWeb