switch_sample_prior

probability density function (pois1, poisson, normal, unif.disc, unif.cont)

a vector giving parameters for the specified distribution; only the first is used for single parameter distributions

cur.par

function to sample from hyperpriors of a specified probability density function; note that
initial values for sigma of lognormal random effects are fixed to a small value (0.05) to
prevent numerical errors

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

switch_sample_prior function

function to sample from hyperpriors of a specified probability density function; note that
initial values for sigma of lognormal random effects are fixed to a small value (0.05) to
prevent numerical errors — switch_sample_prior

function to sample from hyperpriors of a specified probability density function; note that
initial values for sigma of lognormal random effects are fixed to a small value (0.05) to
prevent numerical errors

switch_sample_prior: function to sample from hyperpriors of a specified probability density function; note that initial values for sigma of lognormal random effects are fixed to a small value (0.05) to prevent numerical errors

Description

Usage

Arguments

Value