Semiparametric Bayesian Regression Analysis

---

Documentation for package ‘SeBR’ version 1.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

all_subsets	Compute all subsets of a set
bb	Bayesian bootstrap posterior sampler for the CDF
bgp_bc	Bayesian Gaussian processes with a Box-Cox transformation
blm_bc	Bayesian linear model with a Box-Cox transformation
blm_bc_hs	Bayesian linear model with a Box-Cox transformation and a horseshoe prior
bqr	Bayesian quantile regression
bsm_bc	Bayesian spline model with a Box-Cox transformation
computeTimeRemaining	Estimate the remaining time in the algorithm
concen_hbb	Posterior sampling algorithm for the HBB concentration hyperparameters
contract_grid	Grid contraction
Fz_fun	Compute the latent data CDF
g_bc	Box-Cox transformation
g_fun	Compute the transformation
g_inv_approx	Approximate inverse transformation
g_inv_bc	Inverse Box-Cox transformation
hbb	Hierarchical Bayesian bootstrap posterior sampler
plot_pptest	Plot point and interval predictions on testing data
rank_approx	Rank-based estimation of the linear regression coefficients
sampleFastGaussian	Sample a Gaussian vector using Bhattacharya et al. (2016)
sbgp	Semiparametric Bayesian Gaussian processes
sblm	Semiparametric Bayesian linear model
sblm_hs	Semiparametric Bayesian linear model with horseshoe priors for high-dimensional data
sblm_modelsel	Model selection for semiparametric Bayesian linear regression
sblm_ssvs	Semiparametric Bayesian linear model with stochastic search variable selection
sbqr	Semiparametric Bayesian quantile regression
sbsm	Semiparametric Bayesian spline model
simulate_tlm	Simulate a transformed linear model
sir_adjust	Post-processing with importance sampling
square_stabilize	Numerically stabilize the squared elements
SSR_gprior	Compute the sum-squared-residuals term under Zellner's g-prior
uni.slice	Univariate Slice Sampler from Neal (2008)