Description: Set of functions that improves the graphical presentations of the functions: wave.correlation and spin.correlation (waveslim package, Whitcher 2012) and the wave.multiple.correlation and wave.multiple.cross.correlation (wavemulcor package, Fernandez-Macho 2012b). The plot outputs (heatmaps) can be displayed in the screen or can be saved as PNG or JPG images or as PDF or EPS formats. The W2CWM2C package also helps to handle the (input data) multivariate time series easily as a list of N elements (times series) and provides a multivariate data set (dataexample) to exemplify its use. A description of the package was published in a scientific paper: Polanco-Martinez and Fernandez-Macho (2014), <doi:10.1109/MCSE.2014.96>.
Authors@R: person(given = "Josue M.", family = "Polanco-Martinez", role = c("aut", "cre"), email = "josue.m.polanco@gmail.com", comment = c(ORCID = "0000-0001-7164-0185"))
Author: Josue M. Polanco-Martinez [aut, cre]

Title: R Interface to W3C Markup Validation Services
R interface to a W3C Markup Validation service.
See <http://validator.w3.org/> for more information.

Title: While-Alive Loss Rate for Recurrent Event in the Presence of
Description: Contains inferential and graphical routines for multi-group analysis of while-alive loss (or event) rate for possibly recurrent nonfatal event in the presence of death.

Title: Multivariate Weather-State Approach Conditionally Skew-Normal
Author: Denis Allard [aut, cre], Ronan Trepos [aut]
Description: Multivariate weather generator for daily climate variables based
on weather-states using a Markov chain for modeling the succession of weather states.
Conditionally to the weather states, the multivariate variables are modeled using the family
of Complete Skew-Normal distributions. Parameters are estimated on measured series. Data must
include the variable 'Rain' and can accept as many other variables as desired.
Depends: R (>= 2.10), mclust, mnormt, tmvtnorm, mvtnorm

Author: Denis Allard [aut, cre], Ronan Trépos [aut]
Description: A multivariate weather generator for daily climate variables based
It uses a Markov chain for modeling the succession of weather states.
of Complete Skew-Normal distributions. Parameters are estimated on measured series. Must
Imports: mclust, mnormt, tmvtnorm, mvtnorm