Package index

All functions

Fz_fun()

Compute the latent data CDF

SSR_gprior()

Compute the sum-squared-residuals term under Zellner's g-prior

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

bqr()

Bayesian quantile regression

bsm_bc()

Bayesian spline model with a Box-Cox transformation

computeTimeRemaining()

Estimate the remaining time in the MCMC based on previous samples

concen_hbb()

Posterior sampling algorithm for the HBB concentration hyperparameters

contract_grid()

Grid contraction

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 the fast sampler of BHATTACHARYA et al.

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

uni.slice()

Univariate Slice Sampler from Neal (2008)