MNM-class: Multi-Species N-Mixture (MNM) Model Class

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

Multi-Species N-Mixture (MNM) Model Class

Description

The "MNM" class represents a multi-species N-mixture model object fitted using Nimble. It contains key model outputs, including parameter estimates, input data, predictions, log-likelihood, convergence diagnostics, and model summaries.

Slots

summary

A data.frame summarizing the model output, including posterior means, standard deviations, and convergence diagnostics (e.g., Rhat values).

n_parameters

A numeric value indicating the number of parameters estimated in the model.

estimates

Mean estimates for all monitored parameters.

fitted_Y

An array containing the fitted values (predicted responses) for the model.

data

An array containing the input data used to fit the model.

logLik

A numeric value representing the log-likelihood of the model.

n_converged

A numeric value indicating the number of parameters with Rhat < 1.1, showing convergence.

plot

A list containing traceplots and density plots for all monitored variables.

MultiNMix documentation built on April 3, 2025, 6:10 p.m.