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.
R CMD check on Windows, macOS and Linux for both the latest release and the development version of R.
matrix class checks for compliance with R-4.0 in which the
matrix class inherits from the
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.
fData in time with logical vectors.
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).
fData object. Before it was:
Now it is:
which is much more robust in practical cases.
cov_fun method to compute covariance and cross-covariance functions for either univariate or multivariate functional data. Implemented the
Cov and plotting specialization
8 * Data$N.
outliergram that raises warnings when parameters different than those supported are provided through