Man pages for jrlewi/brlm
Bayesian Restricted Likelihood Methods
| bayesLm | MCMC algorithm for Bayesian Linear Model |
| bayesTdistLm | MCMC algorithm for Heavy Tailed (t-distribution) Bayesian... |
| beta_ls | Sampling for beta_l's in hierarchical model 5. [beta_l|-]... |
| beta_ls_t | Sampling for beta_l's and v_ls in hierarchical T-model |
| brlm | brlm: A package for implementing Bayesian Restricted... |
| bstar_step | functions for bstar step in hierarchical model |
| fitMixture | A standard Bayesian mixture model for outliers using a... |
| fitOrderStat | Restricted likelihood Bayesian model using a middle set of... |
| fn.attenuation | Computes attenuation factor |
| fn.comp.ystst | Compute y** Computes y** from a proposed y* value |
| fn.grads | Computes the gradients in the linear regression MCMC |
| fn.one.rep.y | Perform a single Metropolis-Hastings step |
| fn.radius | Computes radius |
| fn.sample.Beta | sampling for beta in hieararchical model [Beta|-] |
| hier_models | MCMC functions for the hierarchical versions of Normal Theory... |
| hier_samp_funs | sampling mu in hierarchical model of paper. [mu_bstr|-]... |
| log.fn.eval.lik | Full likelihood under Gaussian model |
| log.prop.den | Caluclate the proposal dens on the log scale Computes... |
| mu_rho | Sampling mu_rho [mu_rho|-] |
| psi | Psi functions |
| psi_rho_samp | Sampling psi_rho: [psi_rho|-] |
| quads | quad1 and qaud2 |
| re_model | Fit the Normal Theory Random Effects Model |
| re_sample_mu | Sampling Functions for random effects model |
| restrictedBayesLm | MCMC algorithm for Restricted Likelihood Bayesian Linear... |
| rho_samp | sampling for [rho|-] in hierchical model |
| rl_direct | Fitting restricted likelihood location-scale model using... |
| rlDirectEval | Fitting restricted likelihood location-scale model using... |
| rl_importance | Fitting restricted likelihood model using importance sampling... |
| rlImportSamp | Fitting restricted likelihood model using importance sampling... |
| z_l | [Zl|-]: sample one at a time |
