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ensembleBMA (version 2.0)
Probabilistic forecasting using 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
2.0
License
GPL Version 2 or higher
Maintainer
Chris Fraley
Last Published
September 2nd, 2022
Functions in ensembleBMA (2.0)
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crpsANDmae
CRPS and MAE via sampling
ensembleBMA
Bayesian Model Averaging for ensemble forecasts.
fitBMAnormal
BMA for a mixture of normals.
controlBMAgamma0
Control parameters for BMA for precipitation.
crpsNormal
Continuous Ranked Probability Score for Normal Ensemble Data
controlBMAnormal
Control parameters for BMA for precipitation.
ensembleData
Creates an ensembleData object.
brierSkillScores
Brier Skill Scores
ensembleBMAgamma0
BMA mixture of gammas ensemble forecasting models with a point mass at 0.
bmaModelParameters
Extract ensemble BMA model parameters.
prcp
Precipitation Data Set
gridForecastBMA
BMA forecasts for a grid of ensemble predictions.
fitBMAgamma0
BMA for a mixture of gammas with a point mass at 0.
slp
Sea-Level Pressure Ensemble Forecasts and Observations
srft
Surface Temperature Ensemble Forecasts and Observations
fitBMA
BMA model fitting.
quantileForecastBMA
Quantile forecasts for ensemble BMA models.
ensembleBMAnormal
BMA mixture of normals modeling for ensemble forecasts.
srftGrid
Gridded Surface Temperature Ensemble Forecasts
trainingData
Training data for a given date and training rule.
forecastBMA
Ensemble BMA forecast for a given date at observation locations.