Functionaliy from fda.usc - GAA-UAM/scikit-fda GitHub Wiki
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.
Legend
| Symbol |
Meaning |
| β
|
Implemented |
| π
ΎοΈ |
Unimplemented |
| π
ΏοΈ |
Partial |
| π |
Review |
| π΄ |
Unnecessary |
Classes
Class (fda.usc) |
Status |
Class (Python) |
Comments |
AKer |
|
|
|
fdata |
|
|
|
IKer |
|
|
|
Ker |
|
|
|
Datasets
| Dataset |
Available |
| aemet |
β
|
| MCO |
β
|
| phoneme |
β
|
| poblenou |
β
|
| tecator |
β
|
Functions
Function (fda.usc) |
Status |
Function (Python) |
Comments |
anova.hetero |
|
|
|
anova.onefactor |
|
|
|
anova.RPm |
|
|
|
classif.DD |
|
|
|
classif.depth |
|
|
|
classif.gkam |
|
|
|
classif.glm |
|
|
|
classif.gsam |
|
|
|
classif.np |
|
|
|
classif.tree |
|
|
|
cond.F |
|
|
|
cond.mode |
|
|
|
cond.quantile |
|
|
|
create.fdata.basis |
|
|
|
CV.S |
|
|
|
dcor.xy |
|
|
|
depth.FM |
|
|
|
depth.FMp |
|
|
|
depth.FSD |
|
|
|
depth.KFSD |
|
|
|
depth.mode |
|
|
|
depth.modep |
|
|
|
depth.RP |
|
|
|
depth.RPD |
|
|
|
depth.RPp |
|
|
|
depth.RT |
|
|
|
dev.S |
|
|
|
dfv.statistic |
|
|
|
dfv.test |
|
|
|
dis.cos.cor |
|
|
|
fda.usc.internal |
|
|
|
fdata.bootstrap |
|
|
|
fdata.cen |
|
|
|
fdata.deriv |
|
|
|
fdata.methods |
|
|
|
fdata2fd |
|
|
|
fdata2pc |
|
|
|
fdata2pls |
|
|
|
FDR |
|
|
|
flm.Ftest |
|
|
|
flm.test |
|
|
|
fregre.basis |
|
|
|
fregre.basis.cv |
|
|
|
fregre.basis.fr |
|
|
|
fregre.bootstrap |
|
|
|
fregre.gkam |
|
|
|
fregre.glm |
|
|
|
fregre.gls |
|
|
|
fregre.gsam |
|
|
|
fregre.gsam.vs |
|
|
|
fregre.igls |
|
|
|
fregre.lm |
|
|
|
fregre.np |
|
|
|
fregre.np.cv |
|
|
|
fregre.pc |
|
|
|
fregre.pc.cv |
|
|
|
fregre.plm |
|
|
|
fregre.pls |
|
|
|
fregre.pls.cv |
|
|
|
fregre.ppc |
|
|
|
fregre.ppc.cv |
|
|
|
fregre.ppls |
|
|
|
fregre.ppls.cv |
|
|
|
func.mean |
|
|
|
func.med.FM |
|
|
|
func.med.mode |
|
|
|
func.med.RP |
|
|
|
func.med.RPD |
|
|
|
func.med.RT |
|
|
|
func.trim.FM |
|
|
|
func.trim.mode |
|
|
|
func.trim.RP |
|
|
|
func.trim.RPD |
|
|
|
func.trim.RT |
|
|
|
func.trimvar.FM |
|
|
|
func.trimvar.mode |
|
|
|
func.trimvar.RP |
|
|
|
func.trimvar.RPD |
|
|
|
func.trimvar.RT |
|
|
|
func.var |
|
|
|
GCCV.S |
|
|
|
GCV.S |
|
|
|
gridfdata |
|
|
|
h.default |
|
|
|
influence.quan |
|
|
|
influnce.fdata |
|
|
|
inprod.fdata |
|
|
|
int.simpson |
|
|
|
kmeans.fd |
|
|
|
LMCD.select |
|
|
|
mdepth.LD |
|
|
|
mdepth.MhD |
|
|
|
mdepth.RP |
|
|
|
mdepth.SD |
|
|
|
mdepth.SH |
|
|
|
mdepth.TD |
|
|
|
metric.dist |
|
|
|
metric.hausdorff |
|
|
|
metric.kl |
|
|
|
metric.lp |
|
|
|
min.basis |
|
|
|
min.np |
|
|
|
na.omit.fdata |
|
|
|
norm.fdata |
|
|
|
order.fdata |
|
|
|
outliers.depth.pond |
|
|
|
outliers.depth.trim |
|
|
|
outliers.lrt |
|
|
|
outliers.thres.lrt |
|
|
|
P.penalty |
|
|
|
PCvM.statistic |
|
|
|
plot.fdata |
|
|
|
predict.classif |
|
|
|
predict.classif.DD |
|
|
|
predict.fregre.fd |
|
|
|
predict.fregre.GAM |
|
|
|
predict.fregre.gls |
|
|
|
predict.functional.response |
|
|
|
r.ou |
|
|
|
rcombfdata |
|
|
|
rdir.pc |
|
|
|
rp.flm.statistic |
|
|
|
rp.flm.test |
|
|
|
rproc2fdata |
|
|
|
rwild |
|
|
|
S.basis |
|
|
|
S.np |
|
|
|
semimetric.basis |
|
|
|
semimetric.deriv |
|
|
|
semimetric.fourier |
|
|
|
semimetric.hshift |
|
|
|
semimetric.mplsr |
|
|
|
semimetric.pca |
|
|
|
subset.fdata |
|
|
|
split.fdata |
|
|
|
summary.classif |
|
|
|
summary.fdata.comp |
|
|
|
summary.fregre.fd |
|
|
|
summary.fregre.gkam |
|
|
|
unlist.fdata |
|
|
|
Var.y |
|
|
|