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 dimensionT \times (M + 2)\times N_{sample}
containing MLE point estimates from theensemble_fit
object, whereT
is the total time,M
is the number of simulators andN_{sample}
is the number of samples. For each time step, thet
th element of the array is amatrix
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 timet
,\eta^{(t)}
is the shared short-term discrepancy at timet
,z_i^{(t)}
is the individual short-term discrepancy of simulatori
at timet
.samples
An
array
of dimensionT \times (M + 2)\times N_{sample}
containing samples from theensemble_fit
object, whereT
is the total time,M
is the number of simulators andN_{sample}
is the number of samples. For each time step, thet
th element of the array is amatrix
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 timet
,\eta^{(t)}
is the shared short-term discrepancy at timet
,z_i^{(t)}
is the individual short-term discrepancy of simulatori
at timet
.
See Also
EnsembleSample
, generate_sample