DESCRIPTION

Package: SolarClusGnr
Title: Solar irradiance time-series clustering and downscaling
Version: 0.0.0.9000
Authors@R: 
    person(given = "Azeddine",
           family = "Frimane",
           role = c("aut", "cre"),
           email = "Azeddine.frimane@uit.ac.ma")
Description: An unsupervised classification method using Dirichlet process Gaussian mixture model (DPGMM) is proposed in this package. 
             The key benefit of the DPGMM paradigm is that it allows the ability to automatically adapt to the correct complexity level 
             and size of the model, and can, therefore, fit complex probability functions. We apply a Markov chain Monte Carlo algorithm, 
             namely Gibbs sampling for posterior inference. The package also deals with solar irradiance time-series downscaling. It can 
             generate 1-min data worldwide. 
Author: Azeddine Frimane [aut, cre]
Maintainer: Azeddine Frimane <Azeddine.frimane@uit.ac.ma> 
License: GPL (>= 2)
Imports: Matrix, ggplot2, markovchain, matrixcalc, mvtnorm, parallel, grid, pbmcapply, utils, stats, graphics
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1