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, < http://www.springer.com/book/9781461484554>).


News

Changes in Version 2.1.1, 2016.06.13:

o Updated the function stripChart(): 
  -- For the case when there are two independent groups and 
     plot.diff=TRUE and paired=TRUE:
     ++ Adjusted the default value of diff.lim.
     ++ Added the argument diff.method to indicate what method to use to 
        plot the paired differences.  The default value is diff.method="stack".
  -- For the case when there are two independent groups and 
     plot.diff=TRUE and paired=FALSE:
     ++ The default value for the argument diff.lim (which determines the 
        range on the axis associated with the confidence interval for the 
        difference between groups) is now on the same scale as the range of 
        the original observations.
     ++ The default location of the confidence interval for the difference 
        between groups has changed slightly.
  -- Fixed a bug for the case when ci.and.test='parametric' and the argument 
     test.arg.list contains components named 'paired' and 'var.equal'.
  -- When the argument test.arg.list is supplied with a component named 
     'paired' and the value of that component does not match the value of 
     the argument 'paired', the value of the component is set to the value of 
     the argument 'paired' and a warning is issued.
  -- Fixed a bug for the case when add=TRUE.

o Updated the function summaryStats():
  -- Takes the new argument 'paired' applicable to the case when there are 2 groups 
     that are paired observations. 
     ++ When paired=TRUE and p.value=TRUE, the paired t-test 
        or paired Wilcoxon test is performed.
  -- Fixed bug for the case when there are 2 independent groups, test="parametric", 
     and the argument 'test.arg.list' contains the component paired=TRUE.

o Updated the functions enormCensored() and elnormCensored():
  -- The argument 'method' now accepts the values "ROS" and "rROS" 
     (i.e., you can set method="ROS" or method="rROS").  
     ++ The ROS method denotes the Regression on Order Statistics method.  
        This method is equivalent to the already existing method 
        Quantile-Quantile Regression (method ="qq.reg").
     ++ The rROS method denotes the robust Regression on Order Statistics method.  
        This method is equivalent to the already existing method 
        Imputation Using Quantile-Quantile Regression (method ="impute.w.qq.reg").

o Updated the function elnormAltCensored():
  -- The argument 'method' now accepts the value "rROS" (i.e., you can set 
     method="rROS"), denoting the robust Regression on Order Statistics method.  
     This method is equivalent to the already existing method 
     Imputation Using Quantile-Quantile Regression (method ="impute.w.qq.reg").

========================

Changes in Version 2.1.0, 2016.04.18:

o Added the datasets ACE.13.TCE.df and Helsel.Hirsch.02.Mayfly.df.

o Updated summaryStats():
  -- Fixed bug so it does not return an error when the argument 'object' is a 
     logical or character vector.
  -- Fixed bug so it uses the argument test.arg.list in the case when there 
     are 2 groups, test="parametric", and group.p.value.type="within".
  -- When p.value=TRUE and there are 2 groups, added estimate of difference in 
     location to output:  
     when test="parametric" shows the difference between the means, and  
     when test="nonparametric" shows the median of the difference between 
     a sample from group 1 and a sample from group 2.

o Updated stripChart(): 
  -- Takes new argument 'plot.diff' applicable to the case when there are 2 groups.  
     ++ When plot.diff=TRUE and paired=FALSE, the confidence interval 
        for the difference between the two locations is displayed and the right axis 
        (when vertical=TRUE) or top axis (when vertical=FALSE) is labeled in units of 
        the confidence interval for the difference between the two locations. 
     ++ When plot.diff=TRUE and paired=TRUE, the paired differences are 
        displayed and the right axis (when vertical=TRUE) or 
        top axis (when vertical=FALSE) is labeled in units of the paired differences.  
        In addition, if show.ci=TRUE, the confidence interval based on the paired 
        differences is displayed. 

  -- Takes new argument 'paired' applicable to the case when there are 
     2 groups that are paired observations.  
    ++ When paired=TRUE and p.value=TRUE, the paired t-test 
       or paired Wilcoxon test is performed.

  -- Takes new argument 'paired.lines'.  
     When paired=TRUE and paired.lines=TRUE, lines are drawn between the 
     paired observations.

  -- Takes new argument 'paired.lty'.  
     When paired=TRUE and paired.lines=TRUE, paired.lty is a vector indicating 
     the line types to use to distinguish different paired observations.

  -- Takes new argument 'paired.lwd'.  
     When paired=TRUE and paired.lines=TRUE, paired.lwd is a scalar or vector 
         indicating the width of the lines used to distinguish different paired observations.

  -- Takes new argument 'paired.pch'.  
     When paired=TRUE and paired.lines=TRUE, paired.pch is a vector indicating 
     the plotting symbols to use to distinguish different paired observations.

  -- Takes new argument 'paired.col'.  
     When paired=TRUE and paired.lines=TRUE, paired.col is a vector indicating 
     the color of the lines and/or plotting symbols to use to distinguish 
     different paired observations.  This argument overrides the argument 'col'.

  -- Takes new argument 'diff.col'.
     ++ When plot.diff=TRUE and paired=TRUE, diff.col indicates the color 
        of the displayed paired differences and the color of the confidence 
        interval when show.ci=TRUE.
     ++ When plot.diff=TRUE and paired=FALSE, diff.col indicates the color 
        of the confidence interval for the difference between the two means 
        when show.ci=TRUE.
     ++ This argument overrides the argument 'col'.

  -- Takes new argument 'diff.pch'.
     ++ When plot.diff=TRUE and paired=TRUE, diff.pch indicates the plotting  
        symbol for the displayed paired differences.
     ++ This argument overrides the argument 'pch'.

  -- Takes new arguments 'diff.name', 'diff.name.cex', and 'diff.axis.label'.
     ++ When plot.diff=TRUE, diff.name is a character string indicating the 
        the label for the difference between the two groups.  The default value 
        is Group 2 Name - Group 1 Name where Group 1 Name and Group 2 Name indicate 
        the name of the first and second groups, respectively.
     ++ When plot.diff=TRUE, diff.name.cex is a numeric scalar indicating 
        what value of cex to use to plot the character indicating the estimate of 
        of the difference between groups 1 and 2.
     ++ When plot.diff=TRUE, diff.axis.label is a character string indicating the 
        the label for the axis associated with the difference between the two groups.  
        The default value is "Difference Between Groups" when paired=FALSE, and 
            "Paired Difference" when paired=TRUE.

  -- Takes new arguments 'diff.lim' and 'diff.at'.
     ++ When plot.diff=TRUE, diff.lim is a numeric vector of length 2 indicating the 
            limits to use for the axis associated with the difference between the two groups.
     ++ When plot.diff=TRUE, diff.at is a numeric vector indicating where to place  
            tick marks on the axis associated with the difference between the two groups.

  -- Takes new arguments 'sep.line', 'sep.lty', 'sep.lwd', and 'sep.col'.
     ++ When plot.diff=TRUE, sep.line is a logical scalar indicating whether to 
        draw a line between the second group and the difference between groups 1 and 2.
        The default value is sep.line=TRUE.
     ++ When plot.diff=TRUE, sep.lty is a numeric scalar indicating the line type to 
        use to draw the line between the second group and difference between groups 
        1 and 2.  The default value is sep.lty=2.
     ++ When plot.diff=TRUE, sep.lwd is a numeric scalar indicating the width of the 
        line to draw between the second group and difference between groups 
        1 and 2.  The default value is sep.lwd=cex.
     ++ When plot.diff=TRUE, sep.col is a numeric scalar or character string indicating 
        the color of the line to draw between the second group and difference between 
        groups 1 and 2.  The default value is sep.col="gray".

  -- Takes new arguments 'plot.diff.mar'.
     ++ When plot.diff=TRUE and add = FALSE, plot.diff.mar is a numeric vector of 
        length 4 indicating the value of the mar graphics parameter to use for the plot.  
        The default value is c(5.1, 4.1, 4.1, 4.1), which differs from the usual 
        default value in that the value for side 4 is 4.1 instead of 2.1.  This allows 
        for room to add an axis and axis label on side 4 indicating that that axis 
        represents the difference between the 2 groups.  

o Updated help files and fixed formatting issues in the PDF version.

========================

Changes in Version 2.0.2, 2015.11.17:

o Updated rosnerTest() and help file:
  -- The minimum number of non-missing, finite values in the argument x 
     can now be 3 instead of 10.
  -- An updated version of Rosner's (1983) Table 1 is given in the help file.  
     The table shows the observed Type I error levels for various combinations of 
     sample sizes and values of k. 
  -- The conditions for when a warning is issued when warn=TRUE have been 
     slightly altered.  See the help file for more information.

o Fixed bugs in stripChart.default() so that
  -- The title indicates the correct test when the argument 
     test.arg.list includes the component paired=TRUE.
  -- Does not return an error when the first argument is not a 
     formula and there are missing values and p.value=TRUE.  

o Updated help files and fixed formatting issues in the PDF version.

========================

Changes in Version 2.0.1, 2015.05.24:

o Updated stripChart() by adding the arguments 
  ci.bar.lwd and nsmall.  
  See the help file for details.

o Fixed bug in summaryStats.formula() so that it will correctly 
  deal with a character or logical vector as its first argument.

o Fixed bug in errorBar() so that it does not pass high-level 
  graphics arguments to segments().

o Updated help files and fixed formatting issues in the PDF version.

========================

Changes in Version 2.0.0, 2015.03.09:

o EnvStats contains a modified version of the R function predict.lm().  
  To comply with CRAN policy, added the generic function predict() and the 
  function predict.default(), and also updated the already existing (within 
  EnvStats) predict.lm() function.

o EnvStats contains a modified version of the R function print.htest().  
  To comply with CRAN policy, added the generic function print() and the 
  function print.default().

o Included the function errorBar() in the NAMESPACE.  This function allows 
  the user to plot error bars.  See the help file for more information.

o Updated the function calibrate() to return an object of class "calibrate" 
  which inherits from class "lm".

o Included the function print.gofOutlier() in the NAMESPACE so that the results 
  print correctly for the function rosnerTest() to perform Rosner's test for 
  outliers assuming a normal (Gaussian) distribution.

o Updated summaryStats() so that it will accept a character or logical vector 
  as its first argument.

o Updated stripChart() so that it will accept a numeric matrix as its 
  first argument.

o Fixed a bug in the function elnorm3() for the case when method="lmle".
  (Thanks to Jon Hosking for pointing this out!).

o Fixed formatting problems in the PDF version of the help files.

========================

Changes in Version 1.0.3, 2014.10.20:

o Added the function rosnerTest to perform Rosner's test for outliers in a 
  normal (Gaussian) distribution.

o Modified the function stripChart():
    - The argument ci.offset is now allowed to be either a scalar or 
      a vector of length equal to the number of groups.
    - A new argument group.names.cex has been added to give explicit 
      control over the size of the group labels.

o Fixed a bug in gofTestCensored() for the case when the data contain only 
  one censored observation and the censored observation is larger than 
  the smallest non-censored observation for left-censored data or is smaller than 
  the largest non-censored observation for right-censored data. 

o Fixed a bug in anovaPE() that allowed the user to attempt to compute a 
  lack-of-fit and pure error anova table when there are not enough degrees of 
  freedom to do so.

o Fixed a bug in calibrate() to allow only models with enough degrees of 
  freedom to be tested for lack-of-fit via anovaPE.  Also added the arguments 
  test.higher.orders and F.test.

o Modified detectionLimitCalibrate() as follows:

  + now returns not just the detection limit but both the decision limit 
    (on the scale of the signal) and the detection limit (on the scale of 
    the concentration).

  + changed the default value for the argument simultaneous to simultaneous=TRUE.

o Fixed a bug in signTest: values equal to the the argument mu were not 
      being discarded.  (Thanks to Ed Gilroy for pointing this out!).

o Fixed a bug in enparCensored: error message appeared when 
  ci.method="bootstrap".  (Thanks to Dennis Helsel for pointing this 
  out!).

o Fixed a bug in enormCensored when method="mle", ci=TRUE, 
  ci.method="normal.approx", and ci.type="lower" or ci.type="upper":   
  LCL and UCL were switched.  (Thanks to Dennis Helsel for pointing 
  this out!).

o For enormCensored, elnormCensored, elnormAltCensored, egammaCensored, 
  egammaAltCensored, and epoisCensored, one-sided confidence intervals are 
  now available when ci.method="profile.likelihood". 

o For enparCensored, enormCensored, elnormCensored, elnormAltCensored, 
  egammaCensored, egammaAltCensored, and epoisCensored, arguments and results 
  returned when ci.method="bootstrap" have been updated: 

  + The argument use.acc.con has been deprecated.  Bias-corrected 
    and accelerated (BCa) bootstrap results are now always computed 
    where the acceleration constant is estimated rather than allowing 
    the user to set it to 0 (i.e., setting use.acc.con=FALSE in 
    older versions of EnvStats).  Note that 1) code that explicitly 
    set use.acc.con=FALSE will no longer work for these functions, and 
    2) use.acc.con=FALSE was the default so results run previously 
    will not match what is now returned (even if the random seed is 
    set to the same value as was used before).  

  + The argument ci.type is now allowed to be "lower" or "upper".

  + As before, there are two sets of confidence limits that are returned:

      * percentile confidence limits (denoted Pct.LCL and Pct.UCL) and 

      * bias-corrected and accelerated confidence limits (denoted 
        BCa.LCL and BCa.UCL)

  + For enparCensored, a third set of confidence limits are also returned:

      * studentized confidence limits (denoted t.LCL and t.UCL)


o Fixed bugs in oneSamplePermutationTest and twoSamplePermutationTestLocation:
  the default value of the argument seed is now set to seed=NULL.

o Fixed a bug in kendallSeasonalTrendTest: an error message appeared when 
  the argument 'y' was supplied as a matrix and independent.obs=FALSE.

o Change all calls to the EnvStats global variable Distribution.df to 
  EnvStats::Distribution.df.

o Fixed formatting problems in the PDF version of the help files.

========================

Changes in Version 1.0.2, 2013.10.29:

o Changed the names of functions used for minimization in the following functions:
  
  ciBinomN.vec, elnorm3, enormMultiplyCensored.mle, enormSinglyCensored.mle, 
  predIntPois

========================

Changes in Version 1.0.1:

o Fixed bugs in the following functions that had misspelled variable 
  names or variables that had not been defined:

  ci.gamma.chisq.approx, ci.lnorm3.zero.skew, ciBinomN, eqlnorm, 
  plot.gofCensored, ppccNormMultiplyCensoredGofTest, 
  ppccNormSinglyCensoredGofTest, predIntPois, print.boxcox, 
  print.boxcoxCensored

========================

Changes in Version 1.0.0

o The current version of EnvStats is Version 1.0.0.

o EnvStats is built upon Version 2.0 of the S-PLUS module "EnvironmentalStats for S-PLUS".  It includes numerous additions and changes.

o Function and data object names in EnvStats differ from those in EnvironmentalStats for S-PLUS.  All objects that begin with an upper case letter are data objects, and all functions begin with a lower case letter.  So for example, all data objects that began with "epa." in EnvironmentalStats for S-PLUS begin with "EPA." in EnvStats.

o For former EnvironmentalStats for S-PLUS users, here are the name conversions for the functions:

    Old Name                        New Name
    --------                        --------
    anova.pe                        anovaPE
    aov.n                           aovN
    aov.power                       aovPower
    boxcox.multiply.censored                Embeded in boxcoxCensored
    boxcox.singly.censored                  Embeded in boxcoxCensored
    boxcox.transform                    boxcoxTransform
    cdf.compare                     cdfCompare
    cdf.compare.censored                    cdfCompareCensored
    cdfplot                         cdfPlot
    chen.t.test                     chenTTest
    chisq.gof                       Embedded in gofTest
    ci.binom.half.width                 ciBinomHalfWidth
    ci.binom.n                      ciBinomN
    ci.norm.half.width                  ciNormHalfWidth
    ci.norm.n                       ciNormN
    ci.npar.conf.level                  ciNparConfLevel
    ci.npar.n                       ciNparN
    detection.limit.calibrate               detectionLimitCalibrate
    dlnorm.alt                      dlnormAlt
    dlnorm.mix                      dlnormMix
    dlnorm.mix.alt                      dlnormMixAlt
    dlnorm.trunc                        dlnormTrunc
    dlnorm.trunc.alt                    dlnormTruncAlt
    dnorm.mix                       dnormMix
    dnorm.trunc                     dnormTrunc
    dzmlnorm.alt                        dzmlnormAlt
    ecdplot                         ecdfPlot
    ecdfplot.censored                   ecdfPlotCensored
    elnorm.alt                      elnormAlt
    elnorm.alt.multiply.censored                Embeded in elnormAltCensored
    elnorm.alt.singly.censored              Embeded in elnormAltCensored
    elnorm.multiply.censored                Embeded in elnormCensored
    elnorm.singly.censored                  Embeded in elnormCensored
    enorm.multiply.censored                 Embeded in enormCensored
    enorm.singly.censored                   Embeded in enormCensored
    enpar.censored                      enparCensored
    epdfplot                        epdfPlot
    epois.multiply.censored                 Embeded in epoisCensored
    epois.singly.censored                   Embeded in epoisCensored
    error.bar                       errorBar
    ev.norm.ord.stats                   evNormOrdStats
    ev.norm.ord.stats.scalar                evNormOrdStatsScalar
    ezmlnorm.alt                        ezmlnormAlt
    full.summary                        summaryFull
    geo.mean                        geoMean
    geo.sd                          geoSD
    pdfplot                         pdfPlot
    inverse.predict.calibrate               inversePredictCalibrate
    kendall.trend.test                  kendallTrendTest
    ks.gof                          Embedded in gofTest
    l.moment                        lMoment
    linear.trend.test.n                 linearTrendTestN
    linear.trend.test.power                 linearTrendTestPower
    linear.trend.test.scaled.mds                linearTrendTestScaledMds
    log.choose.multinomial                  logChooseMultinomial
    one.sample.permutation.test             oneSamplePermutationTest
    pdfplot                         pdfPlot
    plnorm.alt                      plnormAlt
    plnorm.mix                      plnormMix
    plnorm.mix.alt                      plnormMixAlt
    plnorm.trunc                        plnormTrunc
    plnorm.trunc.alt                    plnormTruncAlt
    plot.aov.design                     plotAovDesign
    plot.ci.binom.design                    plotCiBinomDesign
    plot.ci.norm.design                 plotCiNormDesign
    plot.ci.npar.design                 plotCiNparDesign
    plot.linear.trend.test.design               plotLinearTrendTestDesign
    plot.permutation.test                   plot.permutationTest
    plot.pred.int.lnorm.alt.simultaneous.test.power.curve   plotPredIntLnormAltSimultaneousTestPowerCurve
    plot.pred.int.lnorm.alt.test.power.curve        plotPredIntLnormAltTestPowerCurve
    plot.pred.int.norm.design               plotPredIntNormDesign
    plot.pred.int.norm.simultaneous.test.power.curve    plotPredIntNormSimultaneousTestPowerCurve
    plot.pred.int.norm.test.power.curve         plotPredIntNormTestPowerCurve
    plot.pred.int.npar.design               plotPredIntNparDesign
    plot.pred.int.npar.simultaneous.design          plotPredIntNparSimultaneousDesign
    plot.pred.int.npar.simultaneous.test.power.curve    plotPredIntNparSimultaneousTestPowerCurve
    plot.prop.test.design                   plotPropTestDesign
    plot.t.test.design                  plotTTestDesign
    plot.t.test.lnorm.alt.design                plotTTestLnormAltDesign
    plot.tol.int.norm.design                plotTolIntNormDesign
    plot.tol.int.npar.design                plotTolIntNparDesign
    pnorm.mix                       pnormMix
    pnorm.trunc                     pnormTrunc
    ppcc.evd.gof                        Embedded in gofTest
    ppcc.norm.gof                       Embedded in gofTest
    ppcc.norm.group.gof                 Embedded in gofGroupTest
    ppcc.norm.multiply.censored.gof             Embedded in gofCensoredTest
    ppcc.norm.singly.censored.gof               Embedded in gofCensoredTest
    ppoints.censored                    ppointCensored
    pred.int.lnorm                      predIntLnorm
    pred.int.lnorm.alt.simultaneous.test.power      predIntLnormAltSimultaneousTestPower
    pred.int.lnorm.alt.test.power               predIntLnormAltTestPower
    pred.int.lnorm.simultaneous             predIntLnormSimultaneous
    pred.int.norm                       predIntNorm
    pred.int.norm.half.width                predIntNormHalfWidth
    pred.int.norm.K                     predIntNormK
    pred.int.norm.n                     predIntNormN
    pred.int.norm.simultaneous              predIntNormSimultaneous
    pred.int.norm.simultaneous.K                predIntNormSimultaneousK
    pred.int.norm.simultaneous.test.power           predIntNormSimultaneousTestPower
    pred.int.norm.test.power                predIntNormTestPower
    pred.int.npar                       predIntNpar
    pred.int.npar.conf.level                predIntNparConfLevel
    pred.int.npar.n                     predIntNparN
    pred.int.npar.simultaneous              predIntNparSimultaneous
    pred.int.npar.simultaneous.conf.level           predIntNparSimultaneousConfLevel
    pred.int.npar.simultaneous.n                predIntNparSimultaneousN
    pred.int.npar.simultaneous.test.power           predIntNparSimultaneousTestPower
    pred.int.pois                       predIntPois
    prop.test.mdd                       propTestMdd
    prop.test.n                     propTestN
    prop.test.power                     propTestPower
    pw.moment                       pwMoment
    pzmlnorm.alt                        pzmlnormAlt
    qlnorm.alt                      qlnormAlt
    qlnorm.mix                      qlnormMix
    qlnorm.mix.alt                      qlnormMixAlt
    qlnorm.trunc                        qlnormTrunc
    qlnorm.trunc.alt                    qlnormTruncAlt
    qnorm.mix                       qnormMix
    qnorm.trunc                     qnormTrunc
    qqline                          qqLine
    qqplot                          qqPlot
    qqplot.gestalt                      qqPlotGestalt
    qqplot.censored                     qqPlotCensored
    quantile.test                       quantileTest
    qzmlnorm.alt                        qzmlnormAlt
    rlnorm.alt                      rlnormAlt
    rlnorm.mix                      rlnormMix
    rlnorm.mix.alt                      rlnormMixAlt
    rlnorm.trunc                        rlnormTrunc
    rlnorm.trunc.alt                    rlnormTruncAlt
    rnorm.mix                       rnormMix
    rnorm.trunc                     rnormTrunc
    rzmlnorm.alt                        rzmlnormAlt
    seasonal.kendall.trend.test             kendallSeasonalTrendTest
    serial.correlation.test                 serialCorrelationTest
    sf.gof                          Embedded in gofTest
    sf.group.gof                        Embedded in gofGroupTest
    sf.multiply.censored.gof                Embedded in gofCensoredTest
    sf.singly.censored.gof                  Embedded in gofCensoredTest
    sign.test                       signTest
    simulate.mv.matrix                  simulateMvMatrix
    simulate.vector                     simulateVector
    skew.gof                        Embedded in gofTest
    sw.gof                          Embedded in gofTest
    sw.group.gof                        Embedded in gofGroupTest
    sw.singly.censored.gof                  Embedded in gofCensoredTest
    t.test.n                        tTestN
    t.test.power                        tTestPower
    t.test.scaled.mdd                   tTestScaledMdd
    t.test.lnorm.alt.n                  tTestLnormAltN
    t.test.lnorm.alt.power                  tTestLnormAltPower
    t.test.lnorm.alt.ratio.of.means             tTestLnormAltRatioOfMeans
    tol.int.lnorm                       tolIntLnorm
    tol.int.norm                        tolIntNorm
    tol.int.norm.half.width                 tolIntNormHalfWidth
    tol.int.norm.K                      tolIntNormK
    tol.int.norm.n                      tolIntNormN
    tol.int.npar                        tolIntNpar
    tol.int.npar.conf.level                 tolIntNparConfLevel
    tol.int.npar.coverage                   tolIntNparCoverage
    tol.int.npar.n                      tolIntNparN
    tol.int.pois                        tolIntPois
    two.sample.linear.rank.test             twoSampleLinearRankTest
    two.sample.linear.rank.test.censored            twoSampleLinearRankTestCensored
    two.sample.permutation.test.location            twoSamplePermutationTestLocation
    two.sample.permutation.test.proportion          twoSamplePermuationTestProportion
    var.group.test                      varGroupTest
    var.test                        varTest
    z.test.gevd.shape                   zTestGevdShape

Reference manual

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install.packages("EnvStats")

2.2.1 by Steven P. Millard, 8 months ago


http://www.probstatinfo.com


Browse source code at https://github.com/cran/EnvStats


Authors: Steven P. Millard <EnvStats@ProbStatInfo.com>


Documentation:   PDF Manual  


Task views: Analysis of Ecological and Environmental Data, Probability Distributions


GPL (>= 3) license


Imports MASS, ggplot2

Suggests lattice, qcc, sp, boot


Imported by WRTDStidal, elementR, eva, simPop.

Suggested by httk.


See at CRAN