Implements Bayesian linear regression, variable selection, normal means estimation, and multiple hypothesis testing using the normal-beta prime prior, as introduced by Bai and Ghosh (2018) <arXiv:1807.02421> and Bai and Ghosh (2018) <arXiv:1807.06539>. Normal means estimation and multiple testing for the Dirichlet-Laplace <doi:10.1080/01621459.2014.960967> and horseshoe+ priors <doi:10.1214/16-BA1028> are also available in this package.
stats, utils, Matrix, MASS, glmnet, pscl, GIGrvg, pracma

Implements Bayesian linear regression, variable selection, normal means estimation, and multiple hypothesis testing using the normal-beta prime prior, as introduced by Bai and Ghosh (2019) <arXiv:1807.02421> and Bai and Ghosh (2019) <arXiv:1807.06539>. Normal means estimation and multiple testing for the Dirichlet-Laplace <doi:10.1080/01621459.2014.960967> and horseshoe+ priors <doi:10.1214/16-BA1028> are also available in this package.
stats, utils, Matrix, MASS, glmnet, pscl, GIGrvg, truncnorm,
pracma, HyperbolicDist

The functions proposed in this package compute the density of the sum of a gaussian and a gamma random variables, estimate the parameters and correct the noise effect in a gamma-signal and gaussian-noise model. This package has been used to implement the background correction method for Illumina microarray data presented in Plancade S., Rozenholc Y. and Lund E. (http://arxiv.org/abs/1112.4180).

The functions proposed in this package compute the density of the sum of a Gaussian and a gamma random variables, estimate the parameters and correct the noise effect in a gamma-signal and Gaussian-noise model. This package has been used to implement the background correction method for Illumina microarray data presented in Plancade S., Rozenholc Y. and Lund E. "Generalization of the normal-exponential model : exploration of a more accurate parameterization for the signal distribution on Illumina BeadArrays", BMC Bioinfo 2012, 13(329).

David Scott <d.scott@auckland.ac.nz>, Jason Shicong Fu and
Simon Potter
R (>= 2.3.0), DistributionUtils, GeneralizedHyperbolic
This package provides functions for the normal Laplace
distribution. It is currently under development and provides
only limited functionality. Density, distribution and quantile
functions, random number generation, and moments are provided.