https://github.com/cran/fda
Tip revision: ca5e2b4994971ec127b6a5ed2a08ce34abb2655c authored by J. O. Ramsay on 28 September 2021, 03:50:08 UTC
version 5.4.0
version 5.4.0
Tip revision: ca5e2b4
NAMESPACE
export(AmpPhaseDecomp,
as.array3,
as.fd,
as.POSIXct1970,
axisIntervals,
axesIntervals,
basisfd,
bifd,
bifdPar,
boxplot.fd,
boxplot.fdPar,
boxplot.fdSmooth,
bsplinepen,
bsplineS,
cca.fd,
center.fd,
checkDim3,
checkDims3,
checkLogical,
checkNumeric,
checkLogicalInteger,
cor.fd,
covPACE,
CRAN,
create.bspline.basis,
create.constant.basis,
create.exponential.basis,
create.fourier.basis,
create.monomial.basis,
create.polygonal.basis,
create.power.basis,
CSTR2in,
CSTR2,
CSTRfitLS,
CSTRfn,
CSTRres,
CSTRsse,
cycleplot.fd,
Data2fd,
density.fd,
deriv.fd,
df2lambda,
dirs,
Eigen,
eigen.pda,
eval.basis,
eval.bifd,
eval.fd,
eval.monfd,
eval.penalty,
eval.posfd,
eval.surp,
evaldiag.bifd,
expon,
exponentiate.fd,
exponpen,
fd, fbplot,
fd2list,
fdlabels,
fdPar,
fdParcheck,
fourier,
fourierpen,
Fperm.fd,
fRegress,
fRegress.fd,
fRegress.CV,
fRegress.stderr,
fRegress.formula,
Fstat.fd,
geigen,
getbasismatrix,
getbasispenalty,
getbasisrange,
inprod,
inprod.bspline,
int2Lfd,
intensity.fd,
is.basis,
is.fd,
is.fdPar,
is.fdSmooth,
is.Lfd,
lambda2df,
lambda2gcv,
landmarkreg,
Lfd,
lines.fdSmooth,
linmod,
lnsrch,
matplot,
matplot.default,
mean.fd,
minus.fd,
monfn,
monomial,
monomialpen,
norder, norder.bspline,
objAndNames,
odesolv,
pca.fd,
pcaPACE,
pda.fd,
pda.overlay,
phaseplanePlot,
plot.cca.fd,
plot.fd,
plot.pca.fd,
plotbeta,
plotfit.fd,
plotfit.fdSmooth,
plotreg.fd,
plotscores,
plus.fd,
polyg,
polygpen,
powerbasis,
powerpen,
ppBspline,
predict.basisfd,
predict.fd,
predict.fdPar,
predict.fRegress,
predict.fdSmooth,
project.basis,
quadset,
reconsCurves,
register.fd,
register.newfd,
scoresPACE,
sd.fd,
std.fd,
stdev.fd,
stddev.fd,
smooth.basis,
smooth.bibasis,
smooth.fd,
smooth.basisPar,
smooth.fdPar,
smooth.monotone,
smooth.morph,
smooth.pos,
smooth.basis.sparse,
smooth.sparse.mean,
smooth.surp,
sparse.list,
sparse.mat,
surp.fit,
stepchk,
stepit,
symsolve,
"[.fd",
times.fd,
tperm.fd,
trapzmat,
var.fd,
varmx,
varmx.cca.fd,
varmx.pca.fd,
vec2Lfd,
wtcheck,
ycheck,
zerobasis,
zerofind)
import("graphics")
import("stats")
import("splines")
import("Matrix")
import("fds")
import("deSolve")
importFrom("grDevices", "dev.new", "heat.colors")
importFrom("utils", "data")
S3method("==", basisfd)
S3method('*', basisfd)
S3method(summary, basisfd)
S3method(norder, basisfd)
S3method(plot, basisfd)
S3method(predict, basisfd)
S3method('+', fd)
S3method('-', fd)
S3method('*', fd)
S3method('[', fd)
S3method('^', fd)
S3method(boxplot, fd)
S3method(coef, fd)
S3method(coefficients, fd)
S3method(density, fd)
S3method(deriv, fd)
S3method(lines, fd)
S3method(mean, fd)
S3method(norder, fd)
S3method(plot, fd)
S3method(predict, fd)
S3method(sqrt, fd)
S3method(sum, fd)
S3method(summary, fd)
S3method(boxplot, fdPar)
S3method(coef, fdPar)
S3method(coefficients, fdPar)
S3method(plot, fdPar)
S3method(predict, fdPar)
S3method(summary, fdPar)
S3method(as.fd, fdSmooth)
S3method(coef, fdSmooth)
S3method(boxplot, fdSmooth)
S3method(coefficients, fdSmooth)
S3method(fitted, fdSmooth)
S3method(lines, fdSmooth)
S3method(residuals, fdSmooth)
S3method(plot, fdSmooth)
S3method(predict, fdSmooth)
S3method(predict, fRegress)
S3method(plot, Lfd)
S3method(summary, Lfd)
S3method(fitted, monfd)
S3method(residuals, monfd)
S3method(predict, monfd)
S3method(as.fd, 'function')
S3method(as.fd, smooth.spline)
S3method(fRegress, fd)
S3method(fRegress, double)
S3method(fRegress, formula)
S3method(fRegress, character)
S3method(fRegress, stderr)
S3method(fRegress, CV)
S3method(fitted, posfd)
S3method(predict, posfd)
S3method(residuals, posfd)
S3method(matplot, Date)
S3method(matplot, default)
S3method(matplot, POSIXct)
S3method(norder, bspline)
S3method(norder, default)
S3method(plot, cca.fd)
S3method(plot, pca.fd)
S3method(plot, pda.fd)
S3method(summary, bifd)