rect_adj_RW2

number of cells on horizontal side of grid

number of cells on vertical side of grid

If TRUE, cell indices are filled along rows (default is FALSE)

byrow

Produce an RW2 Adjacency matrix for a rectangular grid for use with areal spatial models.
This formulation uses cofficients inspired by a thin plate spline, as described in Rue &amp; Held, section 3.4.2
Here I'm outputting an adjacency matrix of 'neighbor weights' which makes Q construction for regular latices
easy to do when not trying to make inference about all cells (i.e., one can just
eliminate rows and columns associated with cells one isn't interested in and set Q=-Adj+Diag(sum(Adj))

Functions for performing hierarchical analysis of distance
sampling data, with ability to use an areal spatial ICAR model on
top of user supplied covariates to get at variation in abundance
intensity.  The detection model can be specified as a function of
observer and individual covariates, where a parametric model is
supposed for the population level distribution of covariate values.
The model uses data augmentation and a reversible jump MCMC
algorithm to sample animals that were never observed.  Also
included is the ability to include point independence (increasing
correlation multiple observer's observations as a function of
distance, with independence assumed for distance=0 or first
distance bin), as well as the ability to model species
misclassification rates using a multinomial logit formulation on data
from double observers.  There is also the the ability to
include zero inflation, but this is only recommended for cases where
sample sizes and spatial coverage of the survey are high.

Paul B Conn

hierarchicalDS

Functions to Perform Hierarchical Analysis of Distance Sampling
Data

rect_adj_RW2 function

Produce an RW2 Adjacency matrix for a rectangular grid for use with areal spatial models.
This formulation uses cofficients inspired by a thin plate spline, as described in Rue &amp; Held, section 3.4.2
Here I'm outputting an adjacency matrix of 'neighbor weights' which makes Q construction for regular latices
easy to do when not trying to make inference about all cells (i.e., one can just
eliminate rows and columns associated with cells one isn't interested in and set Q=-Adj+Diag(sum(Adj)) — rect_adj_RW2

Produce an RW2 Adjacency matrix for a rectangular grid for use with areal spatial models.
This formulation uses cofficients inspired by a thin plate spline, as described in Rue &amp; Held, section 3.4.2
Here I'm outputting an adjacency matrix of 'neighbor weights' which makes Q construction for regular latices
easy to do when not trying to make inference about all cells (i.e., one can just
eliminate rows and columns associated with cells one isn't interested in and set Q=-Adj+Diag(sum(Adj))

Description

Usage

Arguments

Value