Software

• cDPprior : R scripts for Conditional Dirichlet Processes and Functional Condition Models.
• vbayesGP : R package using Rcpp for Gaussian variational approximation to Bayesian semiparametric Gaussian process regression.
• bspcov : R package for Bayesian estimation of sparse and positive-definite covariance matrices.
• bsamGP : R package using Fortran for Bayesian spectral analysis models with Gaussian process priors.
• PyBSAM : Python GUI for Bayesian spectral analysis regression with shape restrictions.
• dssm : R package using Fortran and Rcpp for nonparametric density estimation using species sampling mixture models.
• intakeBLUP : R package for estimating true intake via Best Linear Unbiased Prediction.
• bpruiso : R package in C for Bayesian Bernstein polynomial regression with stochastic restriction.
• HSMF : R package using Fortran for hierarchical screened scale mixture of normal factor models.