Graphical and statistical analyses of environmental data, with focus on analyzing chemical concentrations and physical parameters, usually in the context of mandated environmental monitoring. Major environmental statistical methods found in the literature and regulatory guidance documents, with extensive help that explains what these methods do, how to use them, and where to find them in the literature. Numerous built-in data sets from regulatory guidance documents and environmental statistics literature. Includes scripts reproducing analyses presented in the book "EnvStats: An R Package for Environmental Statistics" (Millard, 2013, Springer, ISBN 978-1-4614-8455-4, <doi:10.1007/978-1-4614-8456-1>).
Version: 3.1.0 Depends: R (≥ 3.5.0) Imports: MASS, ggplot2, nortest Suggests: lattice, qcc, sp, boot, tinytest, covr, Hmisc Published: 2025-04-24 DOI: 10.32614/CRAN.package.EnvStats Author: Steven P. Millard [aut], Alexander Kowarik [ctb, cre] Maintainer: Alexander Kowarik <alexander.kowarik at statistik.gv.at> License: GPL (≥ 3) URL: https://github.com/alexkowa/EnvStats, https://alexkowa.github.io/EnvStats/ NeedsCompilation: no Citation: EnvStats citation info Materials: README NEWS In views: Distributions, Environmetrics, Epidemiology CRAN checks: EnvStats results Documentation: Downloads: Reverse dependencies: Reverse depends: bgev, snSMART Reverse imports: admix, AnnuityRIR, AZIAD, CellTrails, depCensoring, dTBM, epidecodeR, eva, FMAdist, FuzzyClass, GenHMM1d, GeomxTools, ggplot2.utils, GWEX, hermes, HyMETT, lognGPD, LRTesteR, mem, mevr, OVtool, PLreg, PSS.Health, r6qualitytools, remaCor, simPop, smam, Spower, SWMPrExtension, ThermalSampleR, VTShiny Reverse suggests: Ecfun, fitteR, httk, nett, ramr, ssdtools, statBasics, TidyDensity, varTestnlme Linking:Please use the canonical form https://CRAN.R-project.org/package=EnvStats to link to this page.
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