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ensembleBMA (version 2.1)
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
796
Version
2.1
License
GPL Version 2 or higher
Maintainer
Chris Fraley
Last Published
September 2nd, 2022
Functions in ensembleBMA (2.1)
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ensembleBMAnormal
BMA mixture of normals modeling
slpTest
Sea-Level Pressure Test Data Set
bmaModelParameters
Extract BMA model parameters
fitBMAgamma0
BMA precipitation model fit to a training set
ensembleData
Create an ensembleData object
prcpTest
Precipitation Test Data Set
prcpFit
BMA Model Fit to Precipitation Data
prcpDJdata
Precipitation Data
fitBMAnormal
BMA mixture of normals fit to a training set
prcpGrid
Gridded Ensemble Forecasts of Precipitation
srft
Surface Temperature Ensemble Forecasts and Observations
trainingData
Extract Training Data
ensembleBMA
BMA mixture model fit
mae
Mean Absolute Error
plotBMAforecast
Surface plots for BMA forecasts.
controlBMAnormal
Control parameters for BMA mixtures of normals
ensembleBMAgamma0
BMA precipitation modeling
controlBMAgamma0
Control parameters for BMA precipitation modeling
cdfBMA
Cummulative Distribution Function for ensemble BMA models
brierScore
Brier Scores
fitBMA
BMA model fit to a training set
srftGrid
Gridded Surface Temperature Ensemble Forecasts
quantileForecastBMA
Quantile forecasts at observation locations
crps
Continuous Ranked Probability Score