repYpost

a list with elements containing the posterior samples of latent variables and parameters for observed locations

res.m

a vector of length n; it indicates the time duration during which the Poisson counts are accumulated, or the total number of trials for Binomial response

take the value of <code>"Poisson"</code> or <code>"Binomial"</code> which indicates Poisson or Binomial distribution for response variables

Y.family


  This function generates replicated data sets based on posterior samples of latent variables.

Data Simulation

This package provides a variety of functions to analyze and model geostatistical count data with generalized linear spatial models, including
1) simulate and visualize the data;
2) posterior sampling with robust MCMC algorithms (in serial or parallel way);
3) perform prediction for unsampled locations;
4) conduct Bayesian model checking procedure to evaluate the goodness of fitting;
5) conduct transformed residual checking procedure.
In the package, seamlessly embedded C++ programs and parallel computing techniques are implemented to speed up the computing processes.

repYpost: Generate Replicated Data with Posterior Samples of Latent Variables

Description

Usage

Arguments

Value

See Also

Examples