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ensembleBMA (version 5.0.6)

Probabilistic Forecasting using Ensembles and Bayesian Model Averaging

Description

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

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Version

Install

install.packages('ensembleBMA')

Monthly Downloads

473

Version

5.0.6

License

GPL (>= 2)

Maintainer

Chris Fraley interim

Last Published

January 7th, 2014

Functions in ensembleBMA (5.0.6)

crps

Continuous Ranked Probability Score
ensembleData

Create an ensembleData object
ensembleBMAnormal

BMA mixture of normals modeling
plot.ensembleBMA

Plot the Predictive Distribution Function for ensemble forcasting models
cdf

Cummulative Distribution Function for ensemble forcasting models
controlBMAgamma0

Control parameters for BMA precipitation modeling
srftGrid

Gridded Surface Temperature Ensemble Forecasts
quantileForecast

Quantile forecasts at observation locations
modelParameters

Extract model parameters
pitHist

PIT Histogram
controlBMAgamma

Control parameters for BMA wind speed modeling
plotProbcast

Surface plots for forecast information.
prcpFit

BMA Model Fit to Precipitation Data
fitBMAgamma0

BMA precipitation model fit to a training set
pit

Probability Integral Transform for ensemble forcasting models
julTOymdh

Convert Julian dates to character format.
verifRankHist

Verification Rank and Histogram
fitBMAgamma

BMA precipitation model fit to a training set
MAE

Mean Absolute Error
ensembleBMAgamma0

BMA precipitation modeling
prcpDJdata

Precipitation Data
ensBMAtest

Ensemble BMA Test Data Set
trainingData

Extract Training Data
ymdhTOjul

Convert to Julian dates.
prcpGrid

Gridded Ensemble Forecasts of Precipitation
fitBMAnormal

BMA mixture of normals fit to a training set
controlBMAnormal

Control parameters for BMA mixtures of normals
ensembleBMA

BMA mixture model fit
ensembleBMAgamma

BMA wind speed modeling
fitBMA

BMA model fit to a training set
dateCheck

Checks date format.
brierScore

Brier Scores
srft

Surface Temperature Ensemble Forecasts and Observations
combine

Combine Compatible BMA Models
verifPlot

Plot observations along with median, 10th and 90th percentile forecasts.