Package: Compositional
Type: Package
Title: Compositional Data Analysis
Version: 4.4
URL:
Date: 2021-02-22
Authors@R: c(person("Michail", "Tsagris", role = c("aut", "cre"), email = "mtsagris@uoc.gr"),
           person("Giorgos", "Athineou", role = "aut", email = "gioathineou@gmail.com"),
           person("Abdulaziz", "Alenazi", role = "ctb", email = "a.alenazi@nbu.edu.sa"))
Author: Michail Tsagris [aut, cre],
  Giorgos Athineou [aut],
  Abdulaziz Alenazi [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: codalm, Directional, doParallel, emplik, FlexDir, foreach,
        MASS, mda, mixture, NlcOptim, nnet, parallel, RANN, Rfast,
        Rfast2, sn, stats
Description: Regression, classification, contour plots, hypothesis testing and fitting of distributions for compositional data 
             are some of the functions included. The standard textbook for such data is John Aitchison's (1986) "The statistical 
			       analysis of compositional data". Relevant papers include a) Tsagris M.T., Preston S. and Wood A.T.A. (2011). 
			       A data-based power transformation for compositional data. Fourth International International Workshop on Compositional 
			       Data Analysis. b) Tsagris M. (2014). The k-NN algorithm for compositional data: a revised approach with and without zero 
			       values present. Journal of Data Science, 12(3):519--534. c) Tsagris M. (2015). A novel, divergence based, regression for
			       compositional data. Proceedings of the 28th Panhellenic Statistics Conference, 15-18 April 2015, Athens, Greece, 430--444. 
			       d) Tsagris M. (2015). Regression analysis with compositional data containing zero values. Chilean Journal of Statistics, 
			       6(2):47--57. e) Tsagris M., Preston S. and Wood A.T.A. (2016). Improved supervised classification for compositional data 
			       using the alpha-transformation. Journal of Classification, 33(2):243--261. <doi:10.1007/s00357-016-9207-5>. 
			       f) Tsagris M., Preston S. and Wood A.T.A. (2017). Nonparametric hypothesis testing for equality of means on the simplex. 
			       Journal of Statistical Computation and Simulation, 87(2): 406--422. <doi:10.1080/00949655.2016.1216554>. g) Tsagris M. 
			       and Stewart C. (2018). A Dirichlet regression model for compositional data with zeros. Lobachevskii Journal of Mathematics,
			       39(3): 398--412. <doi:10.1134/S1995080218030198>. h) Alenazi A. (2019). Regression for compositional data with compositional
			       data as predictor variables with or without zero values. Journal of Data Science, 17(1): 219--238. 
			       <doi:10.6339/JDS.201901_17(1).0010>. i) Tsagris M. and Stewart C. (2020). A folded model for compositional data analysis. 
			       Australian and New Zealand Journal of Statistics, 62(2):249--277. <doi:10.1111/anzs.12289>. j) Tsagris M., Alenazi A. 
			       and Stewart C. (2020). The alpha-k-NN regression for compositional data. <arXiv:2002.05137>. We further include functions 
			       for percentages (or proportions).
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2021-02-22 16:57:03 UTC; Michail
Repository: CRAN
Date/Publication: 2021-02-22 18:00:05 UTC
