Statistics package: Difference between revisions

4,634 bytes removed ,  4 February 2023
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<code>pkg install -forge statistics</code>
<code>pkg install -forge statistics</code>
== Clustering ==
== Data Manipulation ==


== Descriptive Statistics ==
== Descriptive Statistics ==
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== Development ==
== Experimental Design ==


Follows an incomplete list of stuff missing in the statistics package to be matlab compatible. Bugs are not listed here, [https://savannah.gnu.org/bugs/?func=search&group=octave search] and [https://savannah.gnu.org/bugs/?func=additem&group=octave report] them on the bug tracker instead.
Functions available for computing design matrices.
 
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* fullfact
* ff2n
* x2fx
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{{Note|this entire section is about the current development version. If a Matlab function is missing from the list and does not appear on the current release of the package, confirm that is also missing in the [https://sourceforge.net/p/octave/statistics/ development sources] before adding it.}}
== Model Fitting ==


=== Missing functions ===
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* crossval
* ClassificationBaggedEnsemble
* fitgmdist
* ClassificationDiscriminant
* ClassificationDiscriminant.fit
* ClassificationEnsemble
* ClassificationKNN
* ClassificationKNN.fit
* ClassificationPartitionedEnsemble
* ClassificationPartitionedModel
* ClassificationTree
* ClassificationTree.fit
* CompactClassificationDiscriminant
* CompactClassificationEnsemble
* CompactClassificationTree
* CompactRegressionEnsemble
* CompactRegressionTree
* CompactTreeBagger
* ExhaustiveSearcher
* GeneralizedLinearModel
* GeneralizedLinearModel.fit
* GeneralizedLinearModel.stepwise
* KDTreeSearcher
* LinearMixedModel
* LinearMixedModel.fit
* LinearMixedModel.fitmatrix
* LinearModel
* LinearModel.fit
* LinearModel.stepwise
* NaiveBayes
* NaiveBayes.fit
* NonLinearModel
* NonLinearModel.fit
* ProbDistUnivKernel
* ProbDistUnivParam
* RegressionBaggedEnsemble
* RegressionEnsemble
* RegressionPartitionedEnsemble
* RegressionPartitionedModel
* RegressionTree
* RegressionTree.fit
* TreeBagger
* addTerms
* addedvarplot
* addlevels
* adtest
* andrewsplot
* anova2
* ansaribradley
* aoctool
* barttest
* bbdesign
* betafit
* betalike
* binofit
* biplot
* candexch
* candgen
* capability
* capaplot
* ccdesign
* cdfplot
* cell2dataset
* chi2gof
* cholcov
* classify
* classregtree
* clustering.evaluation.CalinskiHarabaszEvaluation
* clustering.evaluation.DaviesBouldinEvaluation
* clustering.evaluation.GapEvaluation
* clustering.evaluation.SilhouetteEvaluation
* coefCI
* coefTest
* compact
* compare
* controlrules
* copulafit
* copulaparam
* copulastat
* cordexch
* corrcov
* covarianceParameters
* coxphfit
* createns
* crosstab
* dataset
* dataset2cell
* dataset2struct
* dataset2table
* datasetfun
* daugment
* dcovary
* designMatrix
* devianceTest
* dfittool
* disttool
* droplevels
* dummyvar
* dwtest
* ecdf
* ecdfhist
* evcdf
* evfit
* evinv
* evlike
* evpdf
* evrnd
* evstat
* export
* factoran
* fitdist
* fitensemble
* fitglm
* fitlm
* fitlm
* fitlme
</div>
* fitlmematrix
 
* fitnlm
=== Cross Validation ===
* fitted
 
* fixedEffects
Class of set partitions for cross-validation, used in crossval
* fracfact
 
* fracfactgen
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* friedman
* @cvpartition/cvpartition
* fsurfht
* @cvpartition/display
* gagerr
* @cvpartition/get
* getlabels
* @cvpartition/repartition
* getlevels
* @cvpartition/set
* gline
* @cvpartition/test
* glmfit
* @cvpartition/training
* glmval
* glyphplot
* gname
* gpcdf
* gpfit
* gpinv
* gplike
* gplotmatrix
* gppdf
* gprnd
* gpstat
* grpstats
* haltonset
* hmmdecode
* hmmtrain
* hougen
* icdf
* interactionplot
* invpred
* islevel
* isundefined
* jbtest
* johnsrnd
* join
* knnsearch
* ksdensity
* kstest
* kstest2
* labels
* lasso
* lassoPlot
* lassoglm
* levelcounts
* leverage
* lhsdesign
* lhsnorm
* lillietest
* linhyptest
* lognfit
* lognlike
* lsline
* mahal
* maineffectsplot
* makedist
* manova1
* manovacluster
* mat2dataset
* mdscale
* mergelevels
* mle
* mlecov
* mnrfit
* mnrval
* multcompare
* multivarichart
* mvregress
* mvregresslike
* nancov
* nbinfit
* ncfcdf
* ncfinv
* ncfpdf
* ncfrnd
* ncfstat
* nctcdf
* nctinv
* nctpdf
* nctrnd
* nctstat
* ncx2cdf
* ncx2inv
* ncx2rnd
* ncx2stat
* negloglik
* nlinfit
* nlintool
* nlmefit
* nlmefitsa
* nlparci
* nlpredci
* nnmf
* nominal
* normfit
* normlike
* normspec
* ordinal
* parallelcoords
* paramci
* paretotails
* partialcorr
* partialcorri
* pdf
* pearsrnd
* perfcurve
* plotAdded
* plotAdjustedResponse
* plotDiagnostics
* plotEffects
* plotInteraction
* plotResiduals
* plotSlice
* poissfit
* polytool
* ppca
* predict
* prob.BetaDistribution
* prob.BinomialDistribution
* prob.BirnbaumSaundersDistribution
* prob.BurrDistribution
* prob.ExponentialDistribution
* prob.ExtremeValueDistribution
* prob.GammaDistribution
* prob.GeneralizedExtremeValueDistribution
* prob.GeneralizedParetoDistribution
* prob.InverseGaussianDistribution
* prob.KernelDistribution
* prob.LogisticDistribution
* prob.LoglogisticDistribution
* prob.LognormalDistribution
* prob.MultinomialDistribution
* prob.NakagamiDistribution
* prob.NegativeBinomialDistribution
* prob.NormalDistribution
* prob.PiecewiseLinearDistribution
* prob.PoissonDistribution
* prob.RayleighDistribution
* prob.RicianDistribution
* prob.TriangularDistribution
* prob.UniformDistribution
* prob.WeibullDistribution
* prob.tLocationScaleDistribution
* probplot
* procrustes
* proflik
* qrandset
* qrandstream
* randomEffects
* randtool
* rangesearch
* ranksum
* raylfit
* rcoplot
* refcurve
* refline
* regstats
* relieff
* removeTerms
* residuals
* response
* ridge
* robustdemo
* robustfit
* rotatefactors
* rowexch
* rsmdemo
* rstool
* sampsizepwr
* scatterhist
* sequentialfs
* setlabels
* signrank
* sobolset
* statget
* statset
* step
* stepwise
* stepwiseglm
* stepwiselm
* struct2dataset
* surfht
* svmclassify
* svmtrain
* table2dataset
* tabulate
* tdfread
* tiedrank
* truncate
* unifit
* vartestn
* wblfit
* wbllike
* x2fx
* xptread
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