profoc-package {profoc} | R Documentation |
Package Info
Description
Use multiple online-aggregation algorithms to combine probabilistic forecasts using CRPS Learning as described in Berrisch, Ziel: "CRPS Learning", 2021. The primary function of this package is called online
.
doi:10.1016/j.jeconom.2021.11.008
Details
Index of help topics:
autoplot.batch Autoplot method for batch models autoplot.online Autoplot method for online models batch Probabilistic Forecast Combination - Batch conline Create an conline Object from the conline C++ Class init_experts_list Create experts list to be used in conline class make_basis_mats Create a List of Basis Matrices make_hat_mats Create a List of Hat Matrices make_knots Create a vector of knots for splines online Probabilistic Forecast Combination - Online oracle Probabilistic Forecast Combination - Oracle penalty B-Spline penalty plot.batch Plot method for batch models plot.online Plot method for online models post_process_model Post Process Data from conline Class predict.online Predict method for online models print.batch Print method for batch models print.online Print method for online models profoc-package Package Info splines2_basis Create B-Spline basis summary.online Summary method for online models tidy.online.experts_loss Tidy the Experts' losses of an Online object tidy.online.forecaster_loss Tidy the Experts' losses of an Online object tidy.online.predictions Tidy the Predictions of an Online object tidy.online.weights Tidy the Weights of an Online object update.online Update method for online models
Author(s)
Maintainer: Jonathan Berrisch mailto:Jonathan@Berrisch.biz
Co-Author: Florian Ziel
References
Berrisch, Ziel: "CRPS Learning", 2021
doi:10.1016/j.jeconom.2021.11.008
See Also
Source Code: https://github.com/BerriJ/profoc
BugReports: https://github.com/BerriJ/profoc/issues
[Package profoc version 1.3.2 Index]