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