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ensembleBMA (version 3.0-5)

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

796

Version

3.0-5

License

GPL (>= 2)

Maintainer

Chris Fraley

Last Published

September 2nd, 2022

Functions in ensembleBMA (3.0-5)

srftGrid

Gridded Surface Temperature Ensemble Forecasts
controlBMAgamma0

Control parameters for BMA precipitation modeling
ymdhTOjul

Convert to Julian dates.
brierScore

Brier Scores
crps

Continuous Ranked Probability Score
dateCheck

Checks date format.
prcpFit

BMA Model Fit to Precipitation Data
ensembleBMA

BMA mixture model fit
fitBMAnormal

BMA mixture of normals fit to a training set
quantileForecast

Quantile forecasts at observation locations
prcpTest

Precipitation Test Data Set
fitBMAgamma0

BMA precipitation model fit to a training set
prcpGrid

Gridded Ensemble Forecasts of Precipitation
ensembleBMAnormal

BMA mixture of normals modeling
fitBMA

BMA model fit to a training set
plotProbcast

Surface plots for forecast information.
cdf

Cummulative Distribution Function for ensemble forcasting models
modelParameters

Extract model parameters
ensembleData

Create an ensembleData object
slpTest

Sea-Level Pressure Test Data Set
trainingControl

Set Training Rule Argument
trainingData

Extract Training Data
ensembleBMAgamma0

BMA precipitation modeling
controlBMAnormal

Control parameters for BMA mixtures of normals
mae

Mean Absolute Error
srft

Surface Temperature Ensemble Forecasts and Observations
julTOymdh

Convert Julian dates to character format.
prcpDJdata

Precipitation Data