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R-package: Easy-to-use, efficient implementations of functional bases for use in functional data analysis and elsewhere.
fctbases
is a package for R, which implements some of
the common linear functional bases such as B-splines and Fourier bases
and stores these internally as C++ objects, accesssed from R as normal
functions. In this way there is no need for initializing an R object
every time a basis is used in R. One simply initializes the desired
basis, which is returned as an R function that one calls with desired
time point and possibly coefficients. All calculations are implemented
in C++. By moving some of computations to the time when objects are
initialized, this speeds up some of the computations the even more. The
package takes care of the internal bookkeeping of C++ objects and
ensures the validity of these.
In short what you can do is:
Initialize a basis function by calling an appropiate initialization function, e.g.
knots <- 0:10 / 10
f <- make.bspline.basis(knots, order = 4)
(or just
f <- make.bspline.basis(knots)
will return a bspline of order 4 (standard) with equidistant knots from 0 to 1.
endpoints <- c(0, 1)
f <- make.fourier.basis(endpoints, 10)
will return a Fourier basis with harmonics up to order 10 (that is, 21 degress of freedom) anchored in 0 and 1.
The resulting function takes three arguments: t
is a
vector of time points, x
are optional coefficients to be
multiplied, and deriv
is whether the derivative in time
should be evaluated or not (defaults to false). All fctbases functions
follow this pattern.
f(t)
: Returns a matrix of the basis function evaluted at
time points t
.
f(t, x)
: Returns a vector of the basis function evaluted
at time points t
, multiplied by coefficients
x
. Equal to f(t) %*% x
f(t, deriv = T)
: Returns first derivative, d/dt
f(t)
.
f(t, x, deriv = T)
: Returns first derivative, d/dt
f(t) %*% x
.
f(t, deriv = 2)
: Returns second derivative,
d2/dt2 f(t)
.
f(t, x, deriv = 2)
: Returns second derivative,
d2/dt2 f(t) %*% x
.
Download and install the package as a source package or use devtools,
e.g. devtools::install_github("naolsen/fctbases")
. A C++
compiler is required to compile the source. The package is also
available from CRAN install.package("fctbases")
(the
version on Github may be newer).
It is currently not possible to save fctbasis
objects as
.RData objects (and likely will not be).
Using a fctbasis
object from a previous session will return
an error.
Feel free to contribute and add suggestions. There are some bases, that I think would be nice to add: natural cubic splines, hermitian polynomials, wavelets bases and possibly others.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.