Package: Compositional
Type: Package
Title: Compositional Data Analysis
Version: 8.4
Date: 2026-09-010
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"),
		       person("Christos", "Adam", role = "ctb", email = "pada4m4@gmail.com"))
Author: Michail Tsagris [aut, cre], Giorgos Athineou [aut], Abdulaziz
        Alenazi [ctb], Christos Adam [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: bigstatsr, cluster, emplik, glmnet, graphics, grDevices,
        kernreg, MASS, Matrix, mda, minpack.lm, mixture, nnet, osqp,
        parallel, quadprog, quantreg, rangen, Rfast, Rfast2, rgl,
        Rnanoflann, sn, stats
Suggests: bigparallelr, codalm, FlexDir
Description: Regression, classification, contour plots, hypothesis
        testing and fitting of distributions for compositional data are
        some of the functions included. We further include functions
        for percentages (or proportions). 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.
        <doi:10.48550/arXiv.1106.1451>. 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. <doi:10.6339/JDS.201407_12(3).0008>. 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. <doi:10.48550/arXiv.1511.07600>. d) Tsagris M.
        (2015). "Regression analysis with compositional data containing
        zero values". Chilean Journal of Statistics, 6(2): 47--57.
        <https://soche.cl/chjs/volumes/06/02/Tsagris(2015).pdf>. 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) Alenazi A.A. (2022).
        "f--divergence regression models for compositional data".
        Pakistan Journal of Statistics and Operation Research, 18(4):
        867--882. <doi:10.18187/pjsor.v18i4.3969>. k) Tsagris M. and
        Stewart C. (2022). "A Review of Flexible Transformations for
        Modeling Compositional Data". In Advances and Innovations in
        Statistics and Data Science, pp. 225--234.
        <doi:10.1007/978-3-031-08329-7_10>. l) Alenazi A. (2023). "A
        review of compositional data analysis and recent advances".
        Communications in Statistics--Theory and Methods, 52(16):
        5535--5567. <doi:10.1080/03610926.2021.2014890>. m) Tsagris M.,
        Alenazi A. and Stewart C. (2023). "Flexible non--parametric
        regression models for compositional response data with zeros".
        Statistics and Computing, 33(106).
        <doi:10.1007/s11222-023-10277-5>. n) Tsagris. M. (2025).
        "Constrained least squares simplicial--simplicial regression".
        Statistics and Computing, 35(27).
        <doi:10.1007/s11222-024-10560-z>. o) Tsagris M. and Alzeley O.
        (2026). "Scalable approximation of the transformation--free
        linear simplicial--simplicial regression via constrained
        iterative reweighted least squares". Statistical Analysis and
        Data Mining, 19(4):e70100. <doi:10.1002/sam.70100>. p) Sevinc
        V. and Tsagris. M. (2026). "Energy Based Equality of
        Distributions Testing for Compositional Data". Communications
        in Statistics--Simulation and Computation.
        <doi:10.1080/03610918.2026.2636167>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-10-15 07:46:31 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2026-09-15 02:20:26 UTC
RemoteUrl: https://github.com/cran/Compositional
RemoteRef: HEAD
RemoteSha: 510b4659cb4d42fb8681e4b5f88693e757258b80
Built: R 4.6.0; ; 2026-10-15 07:50:05 UTC; unix
