| 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]