Package: CircNNTSR
Type: Package
Title: CircNNTSR: An R package for the statistical analysis of circular
data using nonnegative trigonometric sums (NNTS) models
Version: 1.0
Date: 2010-10-24
Author: Juan Jose Fernandez-Duran and Maria Mercedes Gregorio-Dominguez
Maintainer: Maria Mercedes Gregorio-Dominguez <mercedes@itam.mx>
Description: Functions for the analysis of circular data using
distributions based on Nonnegative Trigonometric Sums (NNTS).
Functions for calculation of densities and distributions, the
estimation of parameters, plotting and more
Depends: stats
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2010-10-29 12:14:05 UTC; Administradorequipo
Repository: CRAN
Date/Publication: 2010-10-29 14:43:41

Title: Statistical Analysis of Circular Data using Nonnegative
Description: Includes functions for the analysis of circular data using distributions based on Nonnegative Trigonometric Sums (NNTS). The package includes functions for calculation of densities and distributions, for the estimation of parameters, for plotting and more.
Packaged: 2020-02-18 00:30:54 UTC; mercedesgregorio

Title: Detecting of Outliers in Circular Regression
Author: Azade Ghazanfarihesari, Majid Sarmad- Ferdowsi University Of Mashhad
Description: Detecting of outliers in circular-circular regression models, modifying its and estimating of models parameters.
Packaged: 2015-06-09 14:36:33 UTC; Novin Pendar

Title: Detection of Outliers in Circular-Circular Regression
Description: Detection of outliers in circular-circular regression models, modifying its and estimating of models parameters.

Title: Spatial and Spatio-Temporal Bayesian Model for Circular Data
Authors@R: c(person("Giovanna", "Jona Lasinio", email = "giovanna.jonalasinio@uniroma1.it", role = c("aut"), comment = c(ORCID = "0000-0001-8912-5018")),
person("Gianluca", "Mastrantonio", email = "gianluca.mastrantonio@polito.it", role = c("aut"), comment = c(ORCID = "0000-0002-2963-6729")),
person("Mario", "Santoro", email = "santoro.ma@gmail.com", role = c("aut", "cre"), comment = c(ORCID = c("0000-0001-6626-9430"))))
Description: Implementation of Bayesian models for spatial and spatio-temporal
interpolation of circular data using Gaussian Wrapped and Gaussian Projected distributions.
We developed the methods described in Jona Lasinio G. et al. (2012) <doi: 10.1214/12-aoas576>,
Suggests: foreach, iterators, parallel, doParallel, gridExtra
Imports: Rcpp (>= 0.12.14), circular, RInside, coda, ggplot2
Author: Giovanna Jona Lasinio [aut] (<https://orcid.org/0000-0001-8912-5018>),
Mario Santoro [aut, cre] (<https://orcid.org/0000-0001-6626-9430>)