EnsembleSample-class {EcoEnsemble}R Documentation

A class to hold samples of the ensemble model

Description

EnsembleSample objects are generated using the generate_sample function.

Slots

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.

See Also

EnsembleSample, generate_sample


[Package EcoEnsemble version 1.1.2 Index]