Estimation of functional spaces based on traits of organisms.
    The package includes functions to impute missing trait values (with or
    without considering phylogenetic information), and to create,
    represent and analyse two dimensional functional spaces based on
    principal components analysis, other ordination methods, or raw
    traits. It also allows for mapping a third variable onto the
    functional space.  See 'Carmona et al. (2021)' 
    <doi:10.1038/s41586-021-03871-y>, 'Puglielli et al.  (2021)'
    <doi:10.1111/nph.16952>, 'Carmona et al. (2021)'
    <doi:10.1126/sciadv.abf2675>, 'Carmona et al. (2019)'
    <doi:10.1002/ecy.2876> for more information.

Helpers for parsing out the R functions
  and packages used in R scripts and notebooks.

Implementation of two sample comparison procedures based on median-based statistical tests 
    for functional data, introduced in Smida et al (2022) <doi:10.1080/10485252.2022.2064997>. 
    Other competitive state-of-the-art approaches proposed by Chakraborty and Chaudhuri (2015) <doi:10.1093/biomet/asu072>,
    Horvath et al (2013) <doi:10.1111/j.1467-9868.2012.01032.x> or Cuevas et al (2004) <doi:10.1016/j.csda.2003.10.021>
    are also included in the package, as well as procedures to run test result comparisons and power analysis 
    using simulations.

Computes the functional tangential angle pseudo-depth and its robustified version from the paper by Kuhnt and Rehage (2016). See Kuhnt, S.; Rehage, A. (2016): An angle-based multivariate functional pseudo-depth for shape outlier detection, JMVA 146, 325-340, <doi:10.1016/j.jmva.2015.10.016> for details.

Nonparametric estimators and tests for time series analysis. The functions use bootstrap techniques and robust nonparametric difference-based estimators to test for the presence of possibly non-monotonic trends and for synchronicity of trends in multiple time series.

A collection of toys to do things like generate Collatz and other interesting sequences, calculate a fraction which is a close approximation to some value (e.g., 22/7 or 355/113 for pi), and so on.