DESCRIPTION

Package: forecasting
Type: Package
Title: Probabilistic Solar Forecsting
Version: 1.0.0
Author: person("Kate", "Doubleday", email = "kate.doubleday@nrel.gov",
                  role = c("aut", "cre"))
Maintainer: Kate Doubleday <kate.doubleday@nrel.gov>                
Description: Generate and evaluate probabilistic solar forecasts, 
	focusing on post-processing numerical weather prediction ensembles. 
	Options include empirical cumulative distribution functions (CDFs) 
    suitable for raw ensembles and persistence ensembles; Bayesian 
    model averaging (BMA) and ensemble model output statistics (EMOS)
    post-processing, and some discontinued attempts at kernel density
    estimation and spatial aggregation with copulas (not exported). 
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: 
    EnvStats,
    ggfan,
    ggplot2,
    KernSmooth,
    ks,
    logistf,
    lubridate,
    MASS,
    plotly,
    pracma, 
    purrr,
    repr,
    reshape2,
    rvinecopulib,
    scoringRules,
    stats,
    tibble,
    truncnorm,
    tidyr
Suggests:
    colorspace,
    corrplot,
    fanplot,
    ncdf4,
    RColorBrewer,
    testthat,
    zeallot
RoxygenNote: 6.1.1