R/RcppExports.R
nhpp_gamma.RdReturns draw of beta regression coefficients from posterior distribution via No U-Turn Sampler
nhpp_gamma(warm_up, iter_max, input_X, input_n_j, adapt_delta, seed)
| warm_up | number of iterations for which to tune step-size |
|---|---|
| iter_max | total number of iterations for which to run the sampler |
| input_X | design matrix |
| input_n_j | outcome of counts |
| adapt_delta | (0,1) scalar that denotes the average acceptance probability |
| seed | random number generator seed |
No U-Turn Sampler Hoffman, M. and Gelman A.(2014). The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Journal of Machine Learning Research 15 (1593-1623).
the reference linked