zambia_graph

<p>This is a 57x57 matrix containing row- and columwise the regions of Zambia, and the entries
 define the neighbourhoodstructure. The corresponding map sambia.bnd can be downloaded from <a href="http://www.stat.uni-muenchen.de/~kneib/regressionsbuch/daten_e.html">http://www.stat.uni-muenchen.de/~kneib/regressionsbuch/daten_e.html</a>.
 from the bnd file the prior precision matrix is obtained by
 library(BayesX)
 map &lt;- read.bnd("zambia.bnd")
 K &lt;- bnd2gra(map)</p>

Utility functions for scale-dependent and alternative hyperpriors. The distribution parameters may capture location, scale, shape, etc. and every parameter may depend
on complex additive terms (fixed, random, smooth, spatial, etc.) similar to a generalized additive model. Hyperpriors for all effects can be elicitated within the package. Including complex tensor product interaction terms and variable selection priors. The basic model is explained in in Klein and Kneib (2016) <doi:10.1214/15-BA983>.

Nadja Klein

sdPrior

Scale-Dependent Hyperpriors in Structured Additive
Distributional Regression

zambia_graph function

<p>This is a 57x57 matrix containing row- and columwise the regions of Zambia, and the entries
 define the neighbourhoodstructure. The corresponding map sambia.bnd can be downloaded from <a href='http://www.stat.uni-muenchen.de/~kneib/regressionsbuch/daten_e.html'>http://www.stat.uni-muenchen.de/~kneib/regressionsbuch/daten_e.html</a>.
 from the bnd file the prior precision matrix is obtained by
 library(BayesX)
 map &lt;- read.bnd("zambia.bnd")
 K &lt;- bnd2gra(map)</p>

zambia_graph: Prior precision matrix for spatial variable in Zambia data set

Description

Arguments