ensembleBMA: Probabilistic Forecasting using Ensembles and Bayesian Model Averaging

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

Version: 5.1.2
Depends: R (≥ 2.10), chron
Suggests: fields, maps
Published: 2015-05-20
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


Reference manual: ensembleBMA.pdf
Package source: ensembleBMA_5.1.2.tar.gz
Windows binaries: r-devel: ensembleBMA_5.1.2.zip, r-release: ensembleBMA_5.1.2.zip, r-oldrel: ensembleBMA_5.1.2.zip
OS X Snow Leopard binaries: r-release: ensembleBMA_5.1.2.tgz, r-oldrel: ensembleBMA_5.1.2.tgz
OS X Mavericks binaries: r-release: ensembleBMA_5.1.2.tgz
Old sources: ensembleBMA archive

Reverse dependencies:

Reverse depends: EBMAforecast, ensembleMOS