R/RcppExports.R
beta_nd_nhpp_fit.RdEstimate the nonhomgogenous poisson process intensity function from grouped data
beta_nd_nhpp_fit( r, n_j, d, mu_sd, tau_sd, L, K, J, a_0, b_0, a_alpha, b_alpha, a_rho, b_rho, iter_max, warm_up, thin, seed, chain, num_posterior_samples )
| r | vector of distances associatd with different BEFs |
|---|---|
| n_j | matrix of integers denoting the start and length of each school's associated BEF distances |
| d | a 1D grid of positive real values over which the differing intensities are evaluated |
| mu_sd | scale for mu proposal dist'n |
| tau_sd | scale for tau proposal dist'n |
| L | component truncation number |
| K | intensity cluster truncation number |
| J | number of rows in r matrix; number of groups |
| a_0 | hyperparameter for mu base measure |
| b_0 | hyperparameter for mu base measure |
| a_alpha | hyperparameter for alpha gamma prior |
| b_alpha | hyperparameter for alpha gamma prior |
| a_rho | hyperparameter for rho gamma prior |
| b_rho | hyperparameter for rho gamma prior |
| iter_max | total number of iterations for which to run sampler |
| warm_up | number of iterations for which to burn-in or "warm-up" sampler |
| thin | number of iterations to thin by |
| seed | integer with which to initialize random number generator |
| chain | integer chain label |
| num_posterior_samples | the total number of posterior samples after burn in |