EnvStats: Package for Environmental Statistics, Including US EPA Guidance

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, <https://link.springer.com/book/10.1007/978-1-4614-8456-1>).

Version: 2.8.1
Depends: R (≥ 3.1)
Imports: MASS, ggplot2, nortest
Suggests: lattice, qcc, sp, boot, tinytest, covr, Hmisc
Published: 2023-08-22
DOI: 10.32614/CRAN.package.EnvStats
Author: Steven P. Millard [aut], Alexander Kowarik ORCID iD [ctb, cre]
Maintainer: Alexander Kowarik <alexander.kowarik at statistik.gv.at>
License: GPL (≥ 3)
URL: https://github.com/alexkowa/EnvStats
NeedsCompilation: no
Citation: EnvStats citation info
Materials: README NEWS
In views: Distributions, Environmetrics, Epidemiology
CRAN checks: EnvStats results


Reference manual: EnvStats.pdf


Package source: EnvStats_2.8.1.tar.gz
Windows binaries: r-devel: EnvStats_2.8.1.zip, r-release: EnvStats_2.8.1.zip, r-oldrel: EnvStats_2.8.1.zip
macOS binaries: r-release (arm64): EnvStats_2.8.1.tgz, r-oldrel (arm64): EnvStats_2.8.1.tgz, r-release (x86_64): EnvStats_2.8.1.tgz, r-oldrel (x86_64): EnvStats_2.8.1.tgz
Old sources: EnvStats archive

Reverse dependencies:

Reverse depends: bgev, NADA2, snSMART
Reverse imports: AnnuityRIR, AZIAD, CellTrails, dTBM, epidecodeR, eva, FMAdist, FuzzyClass, GeomxTools, ggplot2.utils, GWEX, hermes, HyMETT, mem, mevr, OVtool, PLreg, PSS.Health, ramr, remaCor, simPop, smam, SmCCNet, SWMPrExtension, ThermalSampleR, VTShiny
Reverse suggests: Ecfun, fitteR, httk, LRTesteR, nett, statBasics, TidyDensity, varTestnlme


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