Other packages > Find by keyword >

gmGeostats  

Geostatistics for Compositional Analysis
View on CRAN: Click here


Download and install gmGeostats package within the R console
Install from CRAN:
install.packages("gmGeostats")

Install from Github:
library("remotes")
install_github("cran/gmGeostats")

Install by package version:
library("remotes")
install_version("gmGeostats", "0.11.3")



Attach the package and use:
library("gmGeostats")
Maintained by
K. Gerald van den Boogaart
[Scholar Profile | Author Map]
First Published: 2020-09-16
Latest Update: 2023-04-18
Description:
Support for geostatistical analysis of multivariate data, in particular data with restrictions, e.g. positive amounts, compositions, distributional data, microstructural data, etc. It includes descriptive analysis and modelling for such data, both from a two-point Gaussian perspective and multipoint perspective. The methods mainly follow Tolosana-Delgado, Mueller and van den Boogaart (2018) .
How to cite:
K. Gerald van den Boogaart (2020). gmGeostats: Geostatistics for Compositional Analysis. R package version 0.11.3, https://cran.r-project.org/web/packages/gmGeostats. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.10-6 (2020-09-16 11:10), 0.10-7 (2020-10-03 17:20), 0.10-8 (2021-07-15 19:40), 0.10-9 (2021-09-17 19:40), 0.11.0 (2021-10-18 10:50), 0.11.1 (2022-05-03 15:30), 0.11.2 (2022-11-30 16:20)
Other packages that cited gmGeostats R package
View gmGeostats citation profile
Other R packages that gmGeostats depends, imports, suggests or enhances
Complete documentation for gmGeostats
Functions, R codes and Examples using the gmGeostats R package
Some associated functions: AnisotropyRangeMatrix . AnisotropyScaling . CholeskyDecomposition . DSpars . DataFrameStack.data.frame . EmpiricalStructuralFunctionSpecification-class . GridOrNothing-class . KrigingNeighbourhood . LMCAnisCompo . LeaveOneOut . Maf.data.frame . ModelStructuralFunctionSpecification-class . NGSAustralia . NfoldCrossValidation . SequentialSimulation . TurningBands . Windarling . accuracy . ana . anaBackward . anaForward . anis_GSLIBpar2A . as.AnisotropyRangeMatrix . as.AnisotropyScaling . as.CompLinModCoReg . as.LMCAnisCompo . as.array.DataFrameStack . as.directorVector . as.function.gmCgram . as.gmCgram . as.gmEVario . as.gmSpatialModel . as.gstat . as.gstatVariogram . as.list.DataFrameStack . as.logratioVariogram . as.logratioVariogramAnisotropy . as.variogramModel . coloredBiplot.genDiag . constructMask . dimnames.DataFrameStack . fit_lmc . getMask . getStackElement . getTellus . gmApply . gmGaussianMethodParameters-class . gmGaussianSimulationAlgorithm-class . gmMPSParameters-class . gmNeighbourhoodSpecification-class . gmSimulationAlgorithm-class . gmSpatialDataContainer-class . gmSpatialMethodParameters-class . gmSpatialModel-class . gmTrainingImage-class . gmUnconditionalSpatialModel-class . gmValidationStrategy-class . gsi.Cokriging . gsi.CondTurningBands . gsi.DS . gsi.EVario2D . gsi.EVario3D . gsi.TurningBands . gsi.calcCgram . gsi.gstatCokriging2compo . gsi.orig . gsi.produceV . has.missings.data.frame . image.logratioVariogramAnisotropy . image.mask . image_cokriged . is.anisotropySpecification . is.isotropic . length.gmCgram . logratioVariogram-acomp-method . logratioVariogram . make.gmCompositionalGaussianSpatialModel . make.gmCompositionalMPSSpatialModel . make.gmMultivariateGaussianSpatialModel . mean.accuracy . mean.spatialDecorrelationMeasure . ndirections . noSpatCorr.test . pairsmap . plot.accuracy . plot.gmCgram . plot.gmEVario . plot.logratioVariogramAnisotropy . plot.swarmPlot . plus-.gmCgram . precision . predict.LMCAnisCompo . predict.genDiag . predict_gmSpatialModel . print.mask . pwlrmap . setCgram . setGridOrder . setMask . sortDataInGrid . spatialDecorrelation . spatialGridAcomp . spatialGridRmult . spectralcolors . sphTrans . stackDim-Spatial-method . stackDim . sub-.DataFrameStack . sub-.gmCgram . sub-.logratioVariogramAnisotropy . sub-sub-.gmCgram . swarmPlot . swath . unmask.data.frame . validate . variogramModelPlot.gmEVario . variogramModelPlot.gstatVariogram . variogramModelPlot.logratioVariogram . variogram_gmSpatialModel . write.GSLib . xvErrorMeasures.data.frame . xvErrorMeasures.default . 
Some associated R codes: Anamorphosis.R . abstractClasses.R . accuracy.R . closeup.R . compositionsCompatibility.R . data.R . exploratools.R . genDiag.R . geostats.R . gmAnisotropy.R . gmDataFrameStack.R . gmSimulation.R . gmSpatialMethodParameters.R . gmSpatialModel.R . gmValidationStrategy.R . grids.R . gstatCompatibility.R . mask.R . preparations.R . spSupport.R . uncorrelationTest.R . variograms.R . zzz.R .  Full gmGeostats package functions and examples
Downloads during the last 30 days
02/2702/2803/0103/0203/0303/0403/0503/0603/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/28Downloads for gmGeostats02468101214161820222426TrendBars

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
gglgbtq  
Show Pride on 'ggplot2' Plots
Provides multiple palettes based on pride flags with tailored themes. ...
Download / Learn more Package Citations See dependency  
landmix  
Landmark Prediction for Mixture Data
Non-parametric prediction of survival outcomes for mixture data that incorporates covariates and a l ...
Download / Learn more Package Citations See dependency  

23,842

R Packages

207,311

Dependencies

64,420

Author Associations

23,781

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA