Multi-Species N-Mixture (MNM) Models with 'nimble'

Documentation for package ‘MultiNMix’ version 0.1.0

AIC-method	AIC Method for "MNM" Class
BIC-method	BIC Method for "MNM" Class
birds	Birds Dataset - Subset of the North American Breeding Bird Survey Dataset
birds_ZI	Zero-Inflated Birds Dataset - Subset of the North American Breeding Bird Survey Dataset
check_convergence	Convergence Check Generic Function
check_convergence-method	Convergence Check for "MNM" Class
density-method	Density Plot Method for "MNM" Class
distribution_args	List of Valid Nimble Distributions and Their Arguments
logLik-method	Log-Likelihood Method for "MNM" Class
MNM	Fit a Multi-Species N-Mixture Model (MNM) using Nimble
MNM-class	Multi-Species N-Mixture (MNM) Model Class
MNM_AR	Fit a Multi-Species N-Mixture Model with AR-1 Using Nimble
MNM_control	Generate Nimble Code for Multi-Species N-Mixture (MNM) Models
MNM_fit	Fit a Multi-Species N-Mixture (MNM) Model in Nimble
MNM_Hurdle	Fit a Multi-Species N-Mixture Model with Hurdle Component using Nimble
MNM_Hurdle_AR	Fit a multi-species N-mixture (MNM) Hurdle-AR model using Nimble
predictY	Predict Fitted Values for "MNM" Class
predictY-method	Predict Fitted Values for "MNM" Class
simulateData	Simulate Data for Multi-Species N-Mixture Models
tracePlot	Trace Plot Generic and Method for "MNM" Class
tracePlot-method	Trace Plot Generic and Method for "MNM" Class
validate_all_priors	Validate User-Specified Priors for Nimble Models
validate_prior	Validate User-Specified Prior for a Single Prior