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ensembleBMA (version 3.0-1)

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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Version

Install

install.packages('ensembleBMA')

Monthly Downloads

668

Version

3.0-1

License

GPL (>= 2)

Maintainer

Chris Fraley

Last Published

September 2nd, 2022

Functions in ensembleBMA (3.0-1)

prcpGrid

Gridded Ensemble Forecasts of Precipitation
slpTest

Sea-Level Pressure Test Data Set
ensembleBMAnormal

BMA mixture of normals modeling
srft

Surface Temperature Ensemble Forecasts and Observations
controlBMAnormal

Control parameters for BMA mixtures of normals
cdf

Cummulative Distribution Function for ensemble forcasting models
plotProbcast

Surface plots for forecast information.
srftGrid

Gridded Surface Temperature Ensemble Forecasts
ensembleData

Create an ensembleData object
julTOymdh

Convert Julian dates to character format.
trainingData

Extract Training Data
prcpFit

BMA Model Fit to Precipitation Data
brierScore

Brier Scores
fitBMAgamma0

BMA precipitation model fit to a training set
ensembleBMAgamma0

BMA precipitation modeling
modelParameters

Extract model parameters
ensembleBMA

BMA mixture model fit
mae

Mean Absolute Error
trainingControl

Set Training Rule Argument
quantileForecast

Quantile forecasts at observation locations
controlBMAgamma0

Control parameters for BMA precipitation modeling
fitBMA

BMA model fit to a training set
crps

Continuous Ranked Probability Score
prcpDJdata

Precipitation Data
ymdhTOjul

Convert to Julian dates.
dateCheck

Checks date format.
fitBMAnormal

BMA mixture of normals fit to a training set
prcpTest

Precipitation Test Data Set