Software

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