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ensembleBMA (version 5.0.7)

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

5.0.7

License

GPL (>= 2)

Maintainer

Chris Fraley interim

Last Published

January 30th, 2014

Functions in ensembleBMA (5.0.7)

controlBMAnormal

Control parameters for BMA mixtures of normals
plotProbcast

Surface plots for forecast information.
fitBMAgamma0

BMA precipitation model fit to a training set
dateCheck

Checks date format.
ensembleData

Create an ensembleData object
pitHist

PIT Histogram
ensembleBMA

BMA mixture model fit
pit

Probability Integral Transform for ensemble forcasting models
cdf

Cummulative Distribution Function for ensemble forcasting models
verifPlot

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

Surface Temperature Ensemble Forecasts and Observations
fitBMA

BMA model fit to a training set
quantileForecast

Quantile forecasts at observation locations
trainingData

Extract Training Data
modelParameters

Extract model parameters
verifRankHist

Verification Rank and Histogram
brierScore

Brier Scores
controlBMAgamma

Control parameters for BMA wind speed modeling
ymdhTOjul

Convert to Julian dates.
MAE

Mean Absolute Error
fitBMAgamma

BMA precipitation model fit to a training set
julTOymdh

Convert Julian dates to character format.
fitBMAnormal

BMA mixture of normals fit to a training set
srftGrid

Gridded Surface Temperature Ensemble Forecasts
ensembleBMAgamma0

BMA precipitation modeling
ensembleBMAnormal

BMA mixture of normals modeling
prcpGrid

Gridded Ensemble Forecasts of Precipitation
ensembleBMAgamma

BMA wind speed modeling
prcpFit

BMA Model Fit to Precipitation Data
plot.ensembleBMA

Plot the Predictive Distribution Function for ensemble forcasting models
ensBMAtest

Ensemble BMA Test Data Set
prcpDJdata

Precipitation Data
crps

Continuous Ranked Probability Score
combine

Combine Compatible BMA Models
controlBMAgamma0

Control parameters for BMA precipitation modeling