d.base


  This data set contains baseline samples for 100 residuals with 5000 iterations.

Transformed Residual Checking

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.

d.base: Data Set of Baseline Samples

Description

Usage

Arguments

Details

See Also

Examples