Package index

All functions

linear_pool()

Compute ensemble model outputs as a linear pool, otherwise known as a distributional mixture, of component model outputs for each combination of model task, output type, and output type id. Supported output types include mean, quantile, cdf, pmf, and sample.

lop_component_outputs

Example model output data for linear_pool()

lop_weights

Example weights data for linear_pool()

make_sample_indices_unique()

Make the output type ID values of sample forecasts distinct for different models

s_ens_fweights

Example weights data for simple_ensemble()

s_ens_model_outputs

Example model output data for simple_ensemble()

simple_ensemble()

Compute ensemble model outputs by summarizing component model outputs for each combination of model task, output type, and output type id. Supported output types include mean, median, quantile, cdf, and pmf.

validate_compound_taskid_set()

Perform validations on the compound task ID set used to calculate an ensemble of component model outputs for the sample output type, including checks that (1) compound_taskid_set is a subset of task_id_cols, (2) the provided model_out_tbl is compatible with the specified compound_taskid_set, and (3) all models submit predictions for the same set of non compound_taskid_set variables.