fitOccModel: Fit a Multi-scale Occupancy Model

In RobertDorazio/eDNAoccupancy: Multi-scale Occupancy Modeling of Environmental DNA Data

Fit a Multi-scale Occupancy Model

Description

This function is called by occModel – rather than directly by the user – and fits a multi-scale occupancy model using Bayesian methods (specifically, a Markov chain Monte Carlo (MCMC) algorithm).

Usage

fitOccModel(niter = 100, niterInterval = 10, y, K, X, W, V,
  siteEffectInW, colNamesOfX, colNamesOfW, colNamesOfV)

Arguments

niter	no. iterations of MCMC algorithm
niterInterval	no. iterations for reporting progress of MCMC algorithm
y	M x J matrix of numbers of detections per sample
K	M x J matrix of numbers of replicates per sample
X	matrix of regressors associated with model parameter beta
W	array of regressors associated with model parameter alpha
V	array of regressors associated with model parameter delta
siteEffectInW	logical indicator of whether model parameter alpha contains M elements (that is, one element per site)
colNamesOfX	vector of names of regressors in X
colNamesOfW	vector of names of regressors in W
colNamesOfV	vector of names of regressors in V

RobertDorazio/eDNAoccupancy documentation built on Sept. 5, 2023, 9:57 a.m.