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  "Title": "Compositional Data Analysis",
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  "Authors@R": "c(person(\"Michail\", \"Tsagris\", role = c(\"aut\", \"cre\"), email = \"mtsagris@uoc.gr\"),\nperson(\"Giorgos\", \"Athineou\", role = \"aut\", email = \"gioathineou@gmail.com\"),\nperson(\"Abdulaziz\", \"Alenazi\", role = \"ctb\", email = \"a.alenazi@nbu.edu.sa\"),\nperson(\"Christos\", \"Adam\", role = \"ctb\", email = \"pada4m4@gmail.com\"))",
  "Author": "Michail Tsagris [aut, cre], Giorgos Athineou [aut], Abdulaziz\nAlenazi [ctb], Christos Adam [ctb]",
  "Maintainer": "Michail Tsagris <mtsagris@uoc.gr>",
  "Description": "Regression, classification, contour plots, hypothesis\ntesting and fitting of distributions for compositional data are\nsome of the functions included. We further include functions\nfor percentages (or proportions). The standard textbook for\nsuch data is John Aitchison's (1986) \"The statistical analysis\nof compositional data\". Relevant papers include: a) Tsagris\nM.T., Preston S. and Wood A.T.A. (2011). \"A data--based power\ntransformation for compositional data\". Fourth International\nInternational Workshop on Compositional Data Analysis.\n<doi:10.48550/arXiv.1106.1451>. b) Tsagris M. (2014). \"The\nk--NN algorithm for compositional data: a revised approach with\nand without zero values present\". Journal of Data Science,\n12(3): 519--534. <doi:10.6339/JDS.201407_12(3).0008>. c)\nTsagris M. (2015). \"A novel, divergence based, regression for\ncompositional data\". Proceedings of the 28th Panhellenic\nStatistics Conference, 15-18 April 2015, Athens, Greece,\n430--444. <doi:10.48550/arXiv.1511.07600>. d) Tsagris M.\n(2015). \"Regression analysis with compositional data containing\nzero values\". Chilean Journal of Statistics, 6(2): 47--57.\n<https://soche.cl/chjs/volumes/06/02/Tsagris(2015).pdf>. e)\nTsagris M., Preston S. and Wood A.T.A. (2016). \"Improved\nsupervised classification for compositional data using the\nalpha-transformation\". Journal of Classification, 33(2):\n243--261. <doi:10.1007/s00357-016-9207-5>. f) Tsagris M.,\nPreston S. and Wood A.T.A. (2017). \"Nonparametric hypothesis\ntesting for equality of means on the simplex\". Journal of\nStatistical Computation and Simulation, 87(2): 406--422.\n<doi:10.1080/00949655.2016.1216554>. g) Tsagris M. and Stewart\nC. (2018). \"A Dirichlet regression model for compositional data\nwith zeros\". Lobachevskii Journal of Mathematics, 39(3):\n398--412. <doi:10.1134/S1995080218030198>. h) Alenazi A.\n(2019). \"Regression for compositional data with compositional\ndata as predictor variables with or without zero values\".\nJournal of Data Science, 17(1): 219--238.\n<doi:10.6339/JDS.201901_17(1).0010>. i) Tsagris M. and Stewart\nC. (2020). \"A folded model for compositional data analysis\".\nAustralian and New Zealand Journal of Statistics, 62(2):\n249--277. <doi:10.1111/anzs.12289>. j) Alenazi A.A. (2022).\n\"f--divergence regression models for compositional data\".\nPakistan Journal of Statistics and Operation Research, 18(4):\n867--882. <doi:10.18187/pjsor.v18i4.3969>. k) Tsagris M. and\nStewart C. (2022). \"A Review of Flexible Transformations for\nModeling Compositional Data\". In Advances and Innovations in\nStatistics and Data Science, pp. 225--234.\n<doi:10.1007/978-3-031-08329-7_10>. l) Alenazi A. (2023). \"A\nreview of compositional data analysis and recent advances\".\nCommunications in Statistics--Theory and Methods, 52(16):\n5535--5567. <doi:10.1080/03610926.2021.2014890>. m) Tsagris M.,\nAlenazi A. and Stewart C. (2023). \"Flexible non--parametric\nregression models for compositional response data with zeros\".\nStatistics and Computing, 33(106).\n<doi:10.1007/s11222-023-10277-5>. n) Tsagris. M. (2025).\n\"Constrained least squares simplicial--simplicial regression\".\nStatistics and Computing, 35(27).\n<doi:10.1007/s11222-024-10560-z>. o) Sevinc V. and Tsagris. M.\n(2026). \"Energy Based Equality of Distributions Testing for\nCompositional Data\". Communications in Statistics--Simulation\nand Computation. <doi:10.1080/03610918.2026.2636167>. p)\nTsagris M. and Alzeley O. (2025). \"Scalable approximation of\nthe transformation--free linear simplicial--simplicial\nregression via constrained iterative reweighted least squares\".\n<doi:10.48550/arXiv.2511.13296>.",
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      "page": "ice.akernreg",
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      "page": "alfainv",
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      "page": "james",
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      "page": "kern.reg",
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      "page": "kl.diri",
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      "page": "lasso.klcompreg",
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      "page": "lasso.compreg",
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      "page": "alfa.lasso",
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      "page": "lc.glm",
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      "page": "lc.glm2",
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      "page": "lc.rq",
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      "page": "lc.rq2",
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      "page": "lc.reg",
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      "page": "lc.reg2",
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      "page": "dirimean.test",
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      "page": "sym.test",
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      "page": "kl.diri.normal",
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      "page": "bic.mixcompnorm",
      "title": "Mixture model selection via BIC",
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      "page": "bic.alfamixnorm",
      "title": "Mixture model selection with the alpha-transformation using BIC",
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      "page": "multivt",
      "title": "MLE for the multivariate t distribution",
      "topics": [
        "multivt"
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      "page": "beta.est",
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      "page": "diri.est",
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      "page": "diria0.est",
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      "page": "diri.nr",
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      "page": "alpha.mle",
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      "page": "zad.est",
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      "page": "maovjames",
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      "page": "maov",
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      "page": "mkde",
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        "mkde"
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      "page": "comp.kern",
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      "page": "multivreg",
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      "page": "rcompnorm",
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      "page": "alfa.pcr",
      "title": "Multivariate or univariate regression with compositional data in the covariates side using the alpha-transformation",
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      "page": "comp.reg",
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      "page": "rcompsn",
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      "page": "rcompt",
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      "page": "comp.nb",
      "title": "Naive Bayes classifiers for compositional data",
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      "page": "alfa.nb",
      "title": "Naive Bayes classifiers for compositional data using the alpha-transformation",
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        "alfa.nb"
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      "page": "ols.compreg",
      "title": "Non linear least squares regression for compositional data",
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        "ols.compreg"
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      "page": "zeroreplace",
      "title": "Non-parametric zero replacement strategies",
      "topics": [
        "zeroreplace"
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      "page": "scls.indeptest",
      "title": "Permutation linear independence test in the SCLS model",
      "topics": [
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      "page": "tflr.indeptest",
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      "page": "scls.betest",
      "title": "Permutation test for the matrix of coefficients in the SCLS model",
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      "page": "tflr.betest",
      "title": "Permutation test for the matrix of coefficients in the TFLR model",
      "topics": [
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      "page": "perturbation",
      "title": "Perturbation operation",
      "topics": [
        "perturbation"
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      "page": "lassocoef.plot",
      "title": "Plot of the LASSO coefficients",
      "topics": [
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    {
      "page": "pow",
      "title": "Power operation",
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      "page": "logpca",
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      "page": "alfa.pca",
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      "page": "alfa.mds",
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      "page": "comp.ppr",
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      "page": "pprcomp",
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      "page": "dptest",
      "title": "Projections based test for distributional equality of two groups",
      "topics": [
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    {
      "page": "pcc",
      "title": "Proportionality correlation coefficient matrix",
      "topics": [
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