NEWS.md

In roahd: Robust Analysis of High Dimensional Data

roahd 1.4.3

New feature

• Added tools for manipulating and visualizing depthgrams (#1, @aefdz). This mathematical constructs aim at facilitating the visualization of outliers in high dimensional functional data sets. The depthgram() function computes a number of depthgrams from the functional data set. An S3 specialized method for plot() makes it possible to visualize the depthgrams and proceed with a visual inspection at outliers.

Minor updates

• Improved unit testing: Refactoring of unit tests using testthat 3e edition and in particular snapshot tests for plots and complex objects.
• Added an hexsticker.

roahd 1.4.2

Minor updates

• Switch from Travis to Github Actions for continuous integration.
• Setup automatic R CMD check on Windows, macOS and Linux for both the latest release and the development version of R.
• Setup automatic deployment of a website for the package that references a package introduction, its help and all vignettes.
• Setup automatic computation of test coverage and report to both the Github page and website of the package.
• Added CRAN status badge to README.
• New package maintainer.

Fixes

Major fixes

• Updated all matrix class checks for compliance with R-4.0 in which the matrix class inherits from the array class.

Minor fixes

• Fixed typos in doc, vignette and README.
• Fixed bug in fbplot() display.

roahd 1.4.1

Fixes

Minor fixes

• Fixed dependency error on a new version of scales package that breaks the use of multivariate fbplot in the corner-case of zero outliers.

roahd 1.4

Upgrades

Major upgrades

• Extended Spearman's correlation coefficient computation for multivariate datasets with more than two components.
• Added bootstrap-based computation of Spearman's correlation coefficient bias and standard deviation.
• Added methods to provide bootstrap-based confidence intervals on Spearman's coefficients for two univariate functional datasets or a multivariate functional dataset.
• Added a bootstrap-based test on Spearman's correlation coefficient for two multivariate functional datasets.
• Added an outliergram version (without graphical display of original data) of multivariate functional datasets.
• Added example multivariate functional datasets of ECG signals.

Minor updates

• Added two convenience functions to append compatible functional datasets (univariate or multivariate).
• Added a [ operator overload for multivariate functional dataset representation mfData.

Fixes

Major fixes

• Fixed bug in cor_spearman() function. Now the standard Spearman correlation is not computed on ranks of MHI/MEI, but on MHI/MEI itself. The difference is very small, but allows for full reproducibility of the results in the original paper.

Minor fixes

• Fixed typos in doc.
• Standardized formulas for the application of F inflations in outliergram and boxplot.

roahd 1.2

Fixes

Major fixes

• Removed check for uniformity in the grid of fData() and mfData() constructor.
• Added the possibility to subset fData in time with logical vectors.
• Fixes in methods BD, BD_relative, HI and EI: the previous computational technique was based on arguments from the popular reference "Exact fast computation of band depth for large functional datasets: How quickly can one million curves be ranked?" by Sun, Genton and Nychka, which in the case of BD, and HI/EI are wrong. Now the implementation exploited sticks to the definition, at the cost of a higher computational burden (and thus, time to complete the computation).

roahd 1.1

Fixes

Major fixes

• Modified the check of the grid provided to build fData objects. Since support is provided only for evenly spaced grids, a check is needed before building an fData object. Before it was:

all(abs(diff(unique(diff(grid)))) < 1e-14)

Now it is:

max(diff(unique(diff(grid)))) / diff(range(grid)) < 1e-13

which is much more robust in practical cases.

• Extended README.md.
• Added cov_fun method to compute covariance and cross-covariance functions for either univariate or multivariate functional data. Implemented the S3 class Cov and plotting specialization plot.Cov, wrapping graphics::image.

Minor fixes

• Fixed typos in documentation.
• Fixed typos in vignette.
• Added Travis and Codecov support.
• Modified the default parameter value for trial_size in fbplot from Data$N to 8 * Data$N.
• Added check to fbplot and outliergram that raises warnings when parameters different than those supported are provided through adjust argument.

roahd 1.0

• Initial release of the package.

roahd documentation built on Nov. 4, 2021, 1:07 a.m.