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/9781461484554>).
Version: |
2.7.0 |
Depends: |
R (≥ 3.1) |
Imports: |
MASS, ggplot2, nortest |
Suggests: |
lattice, qcc, sp, boot, tinytest, covr, Hmisc |
Published: |
2022-03-07 |
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 |
NeedsCompilation: |
no |
Citation: |
EnvStats citation info |
Materials: |
README NEWS |
In views: |
Distributions, Environmetrics, Epidemiology |
CRAN checks: |
EnvStats results |
Documentation:
Downloads:
Reverse dependencies:
Reverse depends: |
NADA2 |
Reverse imports: |
AnnuityRIR, AZIAD, CellTrails, dTBM, elementR, epidecodeR, eva, FuzzyClass, GenHMM1d, GeomxTools, GWEX, hermes, mem, OVtool, PLreg, PSS.Health, ramr, simPop, smam, SWMPrExtension, ThermalSampleR, VTShiny |
Reverse suggests: |
Ecfun, fitteR, httk, LRTesteR, spatialEco, statBasics, TidyDensity, varTestnlme |
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=EnvStats
to link to this page.