Scalable Rejection Sampling for Bayesian Hierarchical Models


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Documentation for package ‘bayesGDS’ version 0.6.1

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bayesGDS-package Braun and Damien Algorithm for Scalable Rejection Sampling
bayesGDS Braun and Damien Algorithm for Scalable Rejection Sampling
binary Binary choice example
binary-data Sample simulated data for binary choice model in vignette
binary.f Binary choice example
binary.grad Binary choice example
binary.hess Binary choice example
binary_large Sample simulated data for binary choice model in vignette
binary_large-data Sample simulated data for binary choice model in vignette
binary_small Sample simulated data for binary choice model in vignette
binary_small-data Sample simulated data for binary choice model in vignette
Deprecated Deprecated functions
get.cutoffs Draw thresholds for the accept-reject stage of the BD sampling algorithm.
get.LML Log marginal likelihood of model
inv.logit Deprecated functions
inv.vech Deprecated functions
logit Deprecated functions
log_inv.logit Deprecated functions
sample.GDS Collect draws from the target posterior distribution
vech Deprecated functions