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Functionaliy from fda.usc
Carlos Ramos Carreño edited this page Jul 15, 2022
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We should provide the functionality offered by the R fda.usc package. The following is the list of functionalities provided in the fda.usc package, their implementation status and how are they implemented.
| Symbol | Meaning |
|---|---|
| ✅ | Implemented |
| Unimplemented | |
| Partial | |
| 🆔 | Review |
| 📴 | Unnecessary |
Class (fda.usc) |
Status | Class (Python) | Comments |
|---|---|---|---|
AKer |
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fdata |
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IKer |
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Ker |
| Dataset | Available |
|---|---|
| aemet | ✅ |
| MCO | ✅ |
| phoneme | ✅ |
| poblenou | ✅ |
| tecator | ✅ |
Function (fda.usc) |
Status | Function (Python) | Comments |
|---|---|---|---|
anova.hetero |
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anova.onefactor |
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anova.RPm |
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classif.DD |
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classif.depth |
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classif.gkam |
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classif.glm |
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classif.gsam |
|||
classif.np |
|||
classif.tree |
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cond.F |
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cond.mode |
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cond.quantile |
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create.fdata.basis |
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CV.S |
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dcor.xy |
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depth.FM |
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depth.FMp |
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depth.FSD |
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depth.KFSD |
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depth.mode |
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depth.modep |
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depth.RP |
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depth.RPD |
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depth.RPp |
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depth.RT |
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dev.S |
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dfv.statistic |
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dfv.test |
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dis.cos.cor |
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fda.usc.internal |
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fdata.bootstrap |
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fdata.cen |
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fdata.deriv |
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fdata.methods |
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fdata2fd |
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fdata2pc |
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fdata2pls |
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FDR |
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flm.Ftest |
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flm.test |
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fregre.basis |
|||
fregre.basis.cv |
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fregre.basis.fr |
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fregre.bootstrap |
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fregre.gkam |
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fregre.glm |
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fregre.gls |
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fregre.gsam |
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fregre.gsam.vs |
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fregre.igls |
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fregre.lm |
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fregre.np |
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fregre.np.cv |
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fregre.pc |
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fregre.pc.cv |
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fregre.plm |
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fregre.pls |
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fregre.pls.cv |
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fregre.ppc |
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fregre.ppc.cv |
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fregre.ppls |
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fregre.ppls.cv |
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func.mean |
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func.med.FM |
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func.med.mode |
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func.med.RP |
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func.med.RPD |
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func.med.RT |
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func.trim.FM |
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func.trim.mode |
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func.trim.RP |
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func.trim.RPD |
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func.trim.RT |
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func.trimvar.FM |
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func.trimvar.mode |
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func.trimvar.RP |
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func.trimvar.RPD |
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func.trimvar.RT |
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func.var |
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GCCV.S |
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GCV.S |
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gridfdata |
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h.default |
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influence.quan |
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influnce.fdata |
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inprod.fdata |
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int.simpson |
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kmeans.fd |
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LMCD.select |
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mdepth.LD |
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mdepth.MhD |
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mdepth.RP |
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mdepth.SD |
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mdepth.SH |
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mdepth.TD |
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metric.dist |
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metric.hausdorff |
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metric.kl |
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metric.lp |
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min.basis |
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min.np |
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na.omit.fdata |
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norm.fdata |
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order.fdata |
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outliers.depth.pond |
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outliers.depth.trim |
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outliers.lrt |
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outliers.thres.lrt |
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P.penalty |
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PCvM.statistic |
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plot.fdata |
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predict.classif |
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predict.classif.DD |
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predict.fregre.fd |
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predict.fregre.GAM |
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predict.fregre.gls |
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predict.functional.response |
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r.ou |
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rcombfdata |
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rdir.pc |
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rp.flm.statistic |
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rp.flm.test |
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rproc2fdata |
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rwild |
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S.basis |
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S.np |
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semimetric.basis |
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semimetric.deriv |
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semimetric.fourier |
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semimetric.hshift |
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semimetric.mplsr |
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semimetric.pca |
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subset.fdata |
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split.fdata |
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summary.classif |
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summary.fdata.comp |
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summary.fregre.fd |
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summary.fregre.gkam |
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unlist.fdata |
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Var.y |