Changes in version 1.4.3.9000 Changes in version 1.4.3 (2021-11-03) 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. Changes in version 1.4.2 (2020-08-24) 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. Changes in version 1.4.1 (2018-08-23) 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. Changes in version 1.4 (2018-05-02) 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. Changes in version 1.2 (2016-07-06) 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). Changes in version 1.1 (2016-05-12) 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. Changes in version 1.0 (2016-04-16) - Initial release of the package.