NEWS.md

In MFPCA: Multivariate Functional Principal Component Analysis for Data Observed on Different Dimensional Domains

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%.

MFPCA documentation built on Sept. 15, 2022, 9:07 a.m.