EnsembleSample: A constructor for the 'EnsembleSample' object

In EcoEnsemble: A General Framework for Combining Ecosystem Models

A constructor for the EnsembleSample object

Description

A constructor for the EnsembleSample class. These objects are generated automatically using the generate_sample function.

Usage

EnsembleSample(ensemble_fit, mle, samples)

Arguments

ensemble_fit	An EnsembleFit object containing the fitted ensemble model.
mle	An array of dimension T \times (M + 2)\times N_{sample} containing MLE point estimates from the ensemble_fit object, where T is the total time, M is the number of simulators and N_{sample} is the number of samples. For each time step, the tth element of the array is a matrix where each column is a sample and the rows are the variables: \left( y^{(t)}, \eta^{(t)}, z_1^{(t)}, z_2^{(t)}, \ldots, z_M^{(t)}\right)' where y^{(t)} is the ensemble model's prediction of the latent truth value at time t, \eta^{(t)} is the shared short-term discrepancy at time t, z_i^{(t)} is the individual short-term discrepancy of simulator i at time t.
samples	An array of dimension T \times (M + 2)\times N_{sample} containing samples from the ensemble_fit object, where T is the total time, M is the number of simulators and N_{sample} is the number of samples. For each time step, the tth element of the array is a matrix where each column is a sample and the rows are the variables: \left( y^{(t)}, \eta^{(t)}, z_1^{(t)}, z_2^{(t)}, \ldots, z_M^{(t)}\right)' where y^{(t)} is the ensemble model's prediction of the latent truth value at time t, \eta^{(t)} is the shared short-term discrepancy at time t, z_i^{(t)} is the individual short-term discrepancy of simulator i at time t.

Value

An object of class EnsembleSample

See Also

EnsembleSample, generate_sample

EcoEnsemble documentation built on April 4, 2025, 1:55 a.m.