1. GINAX: R package for genome-wide iterative fine-mapping for non-Gaussian data. Based on Xu, Williams, Tegge and Ferreira (2025). Available on CRAN: https://cran.r-project.org/web/packages/GINAX/index.html

  2. DIFM: R package for the analysis of dynamic ICAR spatiotemporal factor models. Based on Shin and Ferreira (2023). First author of the package is Hwasoo Shin. Available on CRAN: https://cran.r-project.org/web/packages/DIFM/index.html

  3. BG2: R package for Bayesian analysis of genome-wide association studies non-Gaussian data. Based on Xu, Williams and Ferreira (2023). First author of the package is Jacob Williams. Available on Bioconductor: https://bioconductor.org/packages/release/bioc/html/BG2.html. DOI: 10.18129/B9.bioc.BG2.

  4. GLMMselect: R package for Bayesian model selection for generalized linear mixed models. Based on Xu, Ferreira, Porter and Franck (2023). First author of the package is Shuangshuang Xu. Available on CRAN: https://CRAN.R-project.org/package=GLMMselect

  5. GWAS.BAYES: R package for Bayesian analysis of genome-wide association studies data. Based on Williams, Ferreira and Ji (2022) and Williams, Xu, and Ferreira (2023). First author of the package is Jacob Williams. Available on Bioconductor: http://www.bioconductor.org/packages/release/bioc/html/GWAS.BAYES.html

  6. ref.ICAR: R package that 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. Based on Keefe, Ferreira and Franck (2018, 2019) and Porter, Franck and Ferreira (2024). First author in the package is Erica Porter. Available on CRAN: https://cran.r-project.org/web/packages/ref.ICAR/index.html

  7. BHMSMA: R package for the analysis of fMRI data from multiple subjects. Based on Sanyal and Ferreira (2012) and uses wavelet basis priors that borrow strength across subjects. https://cran.r-project.org/web/packages/BHMSMAfMRI/

  8. bosd: R package for Bayesian optimal sequential design for monitoring stations networks and for nonparametric regression. Based on Ferreira and Sanyal (2014) and Ferreira (2015). bosd_0.1-1.tar.gz

  9. mrm: R package with functions to support hidden resolution models for time series analysis and Gaussian process modeling of 1d and 2d (spatial) data via multiscale convolution methods, as described in the book 'Multiscale Modeling -- A Bayesian Perspective,' by Ferreira and Lee (2007). http://users.soe.ucsc.edu/~herbie/multiscale/