MFPCA 1.3-10
New features
- Fix coercion methods for
dgTMatrix objects as used by
the DCT expansions (due to Matrix package update)
- Change class checks for
funData objects to use the
inherits() functionality.
MFPCA 1.3-9
New features
- Fix autoreconf issue
- Update link to MATLAB tensor toolbox
MFPCA 1.3-8
New features
- Change of email address.
- Add return value in documentation of all functions, including
internal functions or functions without return value, as required by
CRAN.
- Removing examples from documentation of internal functions, as
required by CRAN.
MFPCA 1.3-7
New features
- Fix test that was failing on MKL.
MFPCA 1.3-6
New features
- Add warning if scores for given basis are not centered.
- Require latest
mgcv version to work properly with
MKL.
- Fix URLs where pages have been moved from http to https.
MFPCA 1.3-5
New features
- Add links to
funData vignette.
- Update documentation with newest roxygen2 version.
- Clean up unused variables.
MFPCA 1.3-4
New features
- Update maintainer and link to Allen (2013) paper.
- Don’t use
funData’s .intWeight method as
an internal method with :::. Requires new
funData version.
MFPCA 1.3-3
New features
- Fix unit tests failing due to matrix / array objects having multiple
classes in newest Rdevel version.
MFPCA 1.3-2
New features
- Suppress warnings in unit tests with fixed seed caused by changing
the default RNG in latest R development version.
MFPCA 1.3-1
New features
- Consequent use of
seq_len(x) instead of
1:x.
- Use of type-safe
vapply instead of sapply,
where applicable.
MFPCA 1.3
New features
- New univariate expansion type
fda, which allows to use
all basis functions implemented in package fda.
- Correct typos in documentation.
- Theoretical paper is now finally published.
MFPCA 1.2-3
New features
- Skip third party tests on CRAN that lead to ATLAS/MKL/OpenBLAS
issues. Add warning to documentation files.
MFPCA 1.2-2
New features
- Function
screeplot for MFPCAfitobjects now
with integers only on x-axis and optional parameter
ylim.
- Separate
print function for objects of class
summary.MFPCAfit.
- Configure-file now with correct version number.
- Links to MFPCA paper and software paper in DESCRIPTION file, as well
as to ORCID.
MFPCA 1.2-1
New features
- Tolerance for
splineFunction2Dpen unit tests reduced
due to ATLAS/OpenBLAS/MKL issues.
MFPCA 1.2
New features
- The main
MFPCA method now returns an object of class
MFPCAfit for which new functions (plot,
predict, summary, …) have been implemented.
The methods can use namesof functional data objects
(requires funData 1.2).
- It is now possible to pass a given basis decomposition for elements
(e.g. from previous PCA).
- Univariate decompositions (xxxBasis) and expansions (xxxFunction)
are not exported any more, but should be accessed using the
univDecomp and univExpansion
meta-functions.
- New function
multivExpansion to calculate a
multivariate basis expansion.
- More argument checking for user-facing functions including unit
tests.
- Tolerance for regression tests reduced to 1e-5.
- References have been updated.
MFPCA 1.1
New features
- New parameter
bootstrapStrat in MFPCA main
function enables stratified bootstrap. Bootstrap CIs for eigenvalues are
returned, too.
MFPCA function now returns the eigenvectors and
normFactors that are calculated within the MFPCA calculation. They can
be used to calculate out-of-sample predictions.fcptpaBasis now returns eigenvalues and has new option
to normalize the eigenfunctions.- Unit test coverage has been increased to almost 100%.