compareGCMM

Object either of class <code>GCMM</code> with output from <code><a rd-options="" href="/link/GCMM?package=activityGCMM&version=1.1.1" data-mini-rdoc="activityGCMM::GCMM">GCMM</a></code> function or of class <code>GCMMestimate</code> with output from other activityGCMM functions

model1

Name of first parameter to compare, from model1

Object of either class <code>GCMM</code>, <code>GCMMestimate</code>, or a vector or single value for which to compare with model 1; if left blank, it is assumed
that both parameters from arguments <code>p1</code> and <code>p2</code> are from model1

model2

Second parameter to compare, either name of a parameter, estimate, or a vector of values

Number of posterior samples from which to build HDI; default=1000

sample

Logical argument for whether to plot histograms of p1, p2, and the difference between them; default=TRUE

plot

Compare two posterior distributions of GCMM parameters or estimates

Bayesian parametric generalized circular mixed effect mixture models (GCMMs) for estimating animal activity patterns from camera trap data and other nested data structures using 'JAGS', including automatic Bayesian k-cluster selection and random circular intercepts for nested data. The GCMM function automatically selects the number of components for the mixture model (supporting up to 4 mixture components) based on a Bayesian linear finite normal mixture model and fits a Bayesian parametric circular mixed effect  mixture model with one or two random effects as random circular intercepts with a a von Mises or wrapped Cauchy distribution. Provides graphs of the combined mixture model or separate mixture components. Functionality is provided to allow quantitative  comparisons between model parameters. See Campbell et al. (in press) It's time to expand our analyses of animal activity;  Campbell et al. (in press) Temporal and microspatial niche partitioning; Campbell et al. (in press) A novel approach to comparing animal activity patterns. News, updates, and tutorials will be available on www.atlasgoldenwolf.org/stats and www.github.com/LizADCampbell .

Liz AD Campbell

activityGCMM

Circular Mixed Effect Mixture Models of Animal Activity Patterns

compareGCMM function

Object either of class <code>GCMM</code> with output from <code><a rd-options='' href='GCMM'>GCMM</a></code> function or of class <code>GCMMestimate</code> with output from other activityGCMM functions

compareGCMM: Compare GCMM parameters or estimates

Description

Usage

Arguments

Value