EnsembleSample-class {EcoEnsemble} | R Documentation |
EnsembleSample
objects are generated using the generate_sample
function.
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 t
th 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 t
th 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
.
EnsembleSample
, generate_sample