Designed for the cleaning, contextualization and assessment of cytochrome c 
    oxidase I DNA barcode data (COI-5P, or the five prime portion of COI). It contains 
    functions for placing COI-5P barcode sequences into a common reading frame, 
    translating DNA sequences to amino acids and for assessing the likelihood that a 
    given barcode sequence includes an insertion or deletion error. The error assessment 
    relies on the comparison of input sequences against nucleotide and amino acid profile
    hidden Markov models (PHMMs) (for details see Durbin et al. 1998, ISBN: 9780521629713) 
    trained on a taxonomically diverse set of reference sequences. The functions are 
    provided as a complete pipeline and are also available individually for efficient and
    targeted analysis of barcode data.

Copula based imputation method. A semiparametric imputation procedure for missing multivariate data based on conditional copula specifications.

Conditional inference procedures for the general independence
             problem including two-sample, K-sample (non-parametric ANOVA),
             correlation, censored, ordered and multivariate problems described
             in <doi:10.18637/jss.v028.i08>.

Extract and monitor price and market cap of 'Cryptocurrencies' from 'Coin Market Cap' <https://coinmarketcap.com/api/>.

Builds the 
  coincident profile proposed by Martinez, W and Nieto, Fabio H and Poncela, P (2016) 
  <doi:10.1016/j.spl.2015.11.008>.
  This methodology studies the relationship between a couple of
  time series based on the the set of turning points of each
  time series. The coincident profile establishes if two time
  series are coincident, or one of them leads the second.

A comprehensive high-level package, for composite indicator construction and analysis. It is a "development environment"
    for composite indicators and scoreboards, which includes utilities for construction (indicator selection, denomination, imputation,
    data treatment, normalisation, weighting and aggregation) and analysis (multivariate analysis, correlation plotting, short cuts for
    principal component analysis, global sensitivity analysis, and more). A composite indicator is completely encapsulated inside a single
    hierarchical list called a "coin". This allows a fast and efficient work flow, as well as making quick copies, testing methodological variations and making comparisons.
    It also includes many plotting options, both statistical (scatter plots, distribution plots) as well as for presenting results.