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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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Install
install.packages('ensembleBMA')
Monthly Downloads
716
Version
5.0.6
License
GPL (>= 2)
Maintainer
Chris Fraley interim
Last Published
January 7th, 2014
Functions in ensembleBMA (5.0.6)
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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.