ensembleBMA: Probabilistic Forecasting using Ensembles and Bayesian Model Averaging

Bayesian Model Averaging to create probabilistic forecasts from ensemble forecasts and weather observations.

Version:	5.1.5
Depends:	R (≥ 2.10), chron
Suggests:	fields, maps
Published:	2018-01-18
Author:	Chris Fraley, Adrian E. Raftery, J. McLean Sloughter, Tilmann Gneiting, University of Washington.
Maintainer:	Chris Fraley <fraley at u.washington.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	ChangeLog
In views:	Bayesian, TimeSeries
CRAN checks:	ensembleBMA results

Downloads:

Reference manual:	ensembleBMA.pdf
Package source:	ensembleBMA_5.1.5.tar.gz
Windows binaries:	r-devel: ensembleBMA_5.1.5.zip, r-release: ensembleBMA_5.1.5.zip, r-oldrel: ensembleBMA_5.1.5.zip
macOS binaries:	r-release (arm64): ensembleBMA_5.1.5.tgz, r-release (x86_64): ensembleBMA_5.1.5.tgz, r-oldrel: ensembleBMA_5.1.5.tgz
Old sources:	ensembleBMA archive

Reverse dependencies:

Reverse depends:	ensembleMOS
Reverse suggests:	ensemblepp

Linking:

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