Imports: rjags (>= 4.0.0), R2jags (>= 0.04-03), stats, graphics,
tidyverse, tidyr, ggplot2, ggExtra, MASS, grid, gridExtra,

Title: Extended Classification of Weather Types
Description: Provides a gridded classification of weather types by applying the Jenkinson and Collison classification. For a given region (it can be either local region or the whole map),it computes at each grid the 11 weather
types during the period considered for the analysis. See Otero et al., (2017) <doi:10.1007/s00382-017-3705-y> for more information.
Imports: parallel, stringr, RColorBrewer, graphics, grDevices, maps,

Title: Colors Palettes for R and 'ggplot2', Additional Themes for
Authors@R: c(person("Jared", "Huling", role = c("aut", "cre"),
Description: Contains a selection of color palettes and 'ggplot2' themes designed by the package author.
Imports: grDevices, scales, ggplot2 (>= 2.2.0)

Imports: grDevices, scales, ggplot2 (>= 3.0.0)

email = "jaredhuling@gmail.com", comment = c(ORCID = "0000-0003-0670-4845")))
Author: Jared Huling [aut, cre] (<https://orcid.org/0000-0003-0670-4845>)

Description: Procedures for joint detection of changes in both expectation and variance in univariate sequences. Performs a statistical test of the null hypothesis of the absence of change points. In case of rejection performs an algorithm for change point detection. References - Bivariate change point detection (2019+), Michael Messer.

Authors@R: c(	person("Michael", "Messer", role = c("aut", "cre"), email = "michael.messer@tuwien.ac.at"))
Description: Procedures for joint detection of changes in both expectation and variance in univariate sequences. Performs a statistical test of the null hypothesis of the absence of change points. In case of rejection performs an algorithm for change point detection. Reference - Bivariate change point detection - joint detection of changes in expectation and variance, Scandinavian Journal of Statistics, DOI 10.1111/sjos.12547.
Packaged: 2021-11-05 18:16:54 UTC; MichaelMesser

Title: R Markdown Templates for Journal of Data Science
Customized R Markdown templates for authoring articles