Learn R Programming

⚠️There's a newer version (5.1.8) of this package.Take me there.

ensembleBMA (version 5.1.2)

Probabilistic Forecasting using Ensembles and Bayesian Model Averaging

Description

Bayesian Model Averaging to create probabilistic forecasts from ensemble forecasts and weather observations.

Copy Link

Version

Install

install.packages('ensembleBMA')

Monthly Downloads

473

Version

5.1.2

License

GPL (>= 2)

Maintainer

Chris Fraley interim

Last Published

May 19th, 2015

Functions in ensembleBMA (5.1.2)

ymdhTOjul

Convert to Julian dates.
plot.ensembleBMA

Plot the Predictive Distribution Function for ensemble forcasting models
controlBMAgamma0

Control parameters for BMA precipitation modeling
ensembleBMAgamma0

BMA precipitation modeling
prcpFit

BMA Model Fit to Precipitation Data
fitBMAgamma0

BMA precipitation model fit to a training set
brierScore

Brier Scores
pit

Probability Integral Transform for ensemble forcasting models
modelParameters

Extract model parameters
fitBMA

BMA model fit to a training set
srftGrid

Gridded Surface Temperature Ensemble Forecasts
verifRankHist

Verification Rank and Histogram
fitBMAnormal

BMA mixture of normals fit to a training set
plotProbcast

Surface plots for forecast information.
ensembleBMA

BMA mixture model fit
fitBMAgamma

BMA wind speed model fit to a training set
controlBMAnormal

Control parameters for BMA mixtures of normals
ensBMAtest

Ensemble BMA Test Data Set
dateCheck

Checks date format.
julTOymdh

Convert Julian dates to character format.
controlBMAgamma

Control parameters for BMA wind speed modeling
combine

Combine Compatible BMA Models
quantileForecast

Quantile forecasts at observation locations
ensembleBMAnormal

BMA mixture of normals modeling
verifPlot

Plot observations along with median, 10th and 90th percentile forecasts.
pitHist

PIT Histogram
ensembleBMAgamma

BMA wind speed modeling
crps

Continuous Ranked Probability Score
MAE

Mean Absolute Error
prcpDJdata

Precipitation Data
cdf

Cummulative Distribution Function for ensemble forcasting models
trainingData

Extract Training Data
srft

Surface Temperature Ensemble Forecasts and Observations
ensembleData

Create an ensembleData object
prcpGrid

Gridded Ensemble Forecasts of Precipitation