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The [https://github.com/gnu-octave/statistics/ statistics package] is part of the [https://gnu-octave.github.io/packages/ Octave Packages]. | The [https://github.com/gnu-octave/statistics/ statistics package] is part of the [https://gnu-octave.github.io/packages/ Octave Packages]. | ||
== Distributions == | == Distributions == | ||
The following table lists the '''cdf''', '''icdf''', '''pdf''', and '''random''' functions available in the statistics package. Since version [https://github.com/gnu-octave/statistics/releases/tag/release-1.5.3 1.5.3], all CDFs support the "upper" option for evaluating the complement of the respective CDF. | The following table lists the '''cdf''', '''icdf''', '''pdf''', and '''random''' functions available in the statistics package. Since version [https://github.com/gnu-octave/statistics/releases/tag/release-1.5.3 1.5.3], all CDFs support the "upper" option for evaluating the complement of the respective CDF. | ||
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| binornd | | binornd | ||
|- | |- | ||
| | | Bivariate | ||
| bvncdf | | bvncdf | ||
| | | | ||
| | | | ||
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| chi2rnd | | chi2rnd | ||
|- | |- | ||
| | | Copula Family | ||
| copulacdf | | copulacdf | ||
| copulainv | | copulainv | ||
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| copularnd | | copularnd | ||
|- | |- | ||
| | | Extreme Value | ||
| evcdf | | evcdf | ||
| evinv | | evinv | ||
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| mvnrnd | | mvnrnd | ||
|- | |- | ||
| [https://en.wikipedia.org/wiki/Multivariate_t-distribution Multivariate Student's | | [https://en.wikipedia.org/wiki/Multivariate_t-distribution Multivariate Student's T] | ||
| mvtcdf mvtcdfqmc | | mvtcdf mvtcdfqmc | ||
| mvtinv | | mvtinv | ||
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| ncfrnd | | ncfrnd | ||
|- | |- | ||
| [https://en.wikipedia.org/wiki/Noncentral_t-distribution Noncentral Student's | | [https://en.wikipedia.org/wiki/Noncentral_t-distribution Noncentral Student's T] | ||
| nctcdf | | nctcdf | ||
| nctinv | | nctinv | ||
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| stdnormal_rnd | | stdnormal_rnd | ||
|- | |- | ||
| [https://en.wikipedia.org/wiki/Student%27s_t-distribution Student's | | [https://en.wikipedia.org/wiki/Student%27s_t-distribution Student's T] | ||
| tcdf | | tcdf | ||
| tinv | | tinv | ||
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| wishrnd | | wishrnd | ||
|} | |} | ||
=== Distribution Fitting === | === Distribution Fitting === | ||
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=== Distribution Statistics === | === Distribution Statistics === | ||
Functions available for computing ''mean'' and ''variance'' from distribution parameters | Functions available for computing ''mean'' and ''variance'' from distribution parameters | ||
<div style="column-count:4;-moz-column-count:4;-webkit-column-count:4"> | <div style="column-count:4;-moz-column-count:4;-webkit-column-count:4"> | ||
* | * betastat | ||
* | * binostat | ||
* | * chi2stat | ||
* | * evstat | ||
* | * expstat | ||
* | * fstat | ||
* | * gamstat | ||
* | * geostat | ||
* | * gevstat | ||
* | * gpstat | ||
* | * hygestat | ||
* | * lognstat | ||
* | * nbinstat | ||
* | * ncfstat | ||
* | * nctstat | ||
* | * ncx2stat | ||
* | * normstat | ||
* | * poisstat | ||
* | * raylstat | ||
* | * fitgmdist | ||
* | * tstat | ||
* | * unidstat | ||
* | * unifstat | ||
* | * wblstat | ||
</div> | </div> | ||
== | === In external packages === | ||
bootci, bootstrp are implemented in the [https://gnu-octave.github.io/packages/statistics-bootstrap statistics-bootstrap] package | |||
== | == Development == | ||
=== | 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. | ||
{{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.}} | |||
=== Missing functions === | |||
<div style="column-count:4;-moz-column-count:4;-webkit-column-count:4"> | |||
* ClassificationBaggedEnsemble | |||
* 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 | |||
<div style="column-count: | * 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 | |||
* fitlme | |||
* fitlmematrix | |||
* fitnlm | |||
* fitted | |||
* fixedEffects | |||
* fracfact | |||
* fracfactgen | |||
* friedman | |||
* fsurfht | |||
* gagerr | |||
* getlabels | |||
* getlevels | |||
* gline | |||
* glmfit | |||
* 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 | |||
</div> | </div> | ||
== | === Missing options === | ||
*explike: censoring and frequency aren't yet implemented | |||
* | |||
[[Category: | [[Category:Octave Forge]] | ||
[[Category:Missing functions]] | [[Category:Missing functions]] |