'ANN-class.R' 'BRT-class.R' 'Maxent-class.R' 'Maxnet-class.R'
'RF-class.R' 'RcppExports.R' 'SWD-class.R' 'SDMmodel-class.R'
'SDMmodel2MaxEnt.R' 'SDMmodelCV-class.R' 'SDMtune-class.R'
'SDMtune.R' 'addSamplesToBg.R' 'aicc.R' 'auc.R' 'chart-utils.R'
'confMatrix.R' 'convertFolds.R' 'corVar.R' 'doJk.R'
'gridSearch.R' 'maxentTh.R' 'maxentVarImp.R' 'mergeSWD.R'
'modelReport.R' 'optimizeModel.R' 'plotCor.R' 'plotJk.R'
'plotPA.R' 'plotPred.R' 'plotROC.R' 'plotResponse.R'
'plotVarImp.R' 'predict-ANN.R' 'predict-BRT.R'
'predict-Maxent.R' 'predict-RF.R' 'predict-SDMmodel.R'
'predict-SDMmodelCV.R' 'prepareSWD.R' 'randomFolds.R'
'randomSearch.R' 'reduceVar.R' 'swd2csv.R' 'thinData.R'
'thresholds.R' 'train.R' 'trainANN.R' 'trainBRT.R'
'trainMaxent.R' 'trainMaxnet.R' 'trainRF.R' 'trainValTest.R'
'tss.R' 'utils.R' 'varImp.R' 'varSel.R' 'virtualSp.R' 'zzz.R'

Java JDK and maxent.jar >= 3.4.1 to use Maxent
'ANN-class.R' 'BRT-class.R' 'Maxent-class.R' 'Maxnet-class.R'
'RF-class.R' 'RcppExports.R' 'SWD-class.R' 'SDMmodel-class.R'
'SDMmodel2MaxEnt.R' 'SDMmodelCV-class.R' 'SDMtune-class.R'
'SDMtune-package.R' 'addSamplesToBg.R' 'aicc.R' 'auc.R'
'chart-utils.R' 'checkMaxentInstallation.R' 'confMatrix.R'
'convertFolds.R' 'corVar.R' 'doJk.R' 'getTunableArgs.R'
'gridSearch.R' 'maxentTh.R' 'maxentVarImp.R' 'mergeSWD.R'
'modelReport.R' 'optimizeModel.R' 'plotCor.R' 'plotJk.R'
'plotPA.R' 'plotPred.R' 'plotROC.R' 'plotResponse.R'
'plotVarImp.R' 'predict-ANN.R' 'predict-BRT.R'
'predict-Maxent.R' 'predict-RF.R' 'predict-SDMmodel.R'
'predict-SDMmodelCV.R' 'prepareSWD.R' 'randomFolds.R'
'randomSearch.R' 'reduceVar.R' 'swd2csv.R' 'thinData.R'
'thresholds.R' 'train.R' 'trainANN.R' 'trainBRT.R'
'trainMaxent.R' 'trainMaxnet.R' 'trainRF.R' 'trainValTest.R'
'tss.R' 'utils.R' 'varImp.R' 'varSel.R' 'virtualSp.R' 'zzz.R'

Java (>= 8) and maxent.jar >= 3.4.1 to use Maxent

Visualizing the Standard Deviation as the Size of a Prism
c(person(given = "Hieu",
family = "Nguyen",
role = c("aut","cre"),
email = "hieunguyen04062003@gmail.com"),
person(given = "Tom",
family = "Nguyen",
role = "aut"),
person(given = "Mamunur",
family = "Rashid",
role = "aut"),
person(given = "Jyotirmoy",
family = "Sarkar",
role = "aut"))
We visualize the standard deviation of a data set as the size of a prism whose volume equals the total volume of several prisms made from the Empirical Cumulative Distribution Function.
Hieu Nguyen [aut, cre],
Tom Nguyen [aut],
Mamunur Rashid [aut],
Jyotirmoy Sarkar [aut]