The Randomized Trait Community Clustering method (Triado-Margarit et al., 2019,
    <doi:10.1038/s41396-019-0454-4>) is a statistical approach which allows to determine whether
    if an observed trait clustering pattern is related to an increasing environmental constrain.
    The method 1) determines whether exists or not a trait clustering on the sampled communities
    and 2) assess if the observed clustering signal is related or not to an increasing environmental
    constrain along an environmental gradient. Also, when the effect of the environmental gradient
    is not linear, allows to determine consistent thresholds on the community assembly based on trait-values.

The 'TRUST4' or 'MiXCR' is used to identify the clonotypes.
    The goal of 'rTCRBCRr' is to process the results from these clonotyping tools,
    and analyze the clonotype repertoire metrics based on chain names and IGH isotypes.
    The manuscript is still under preparation for publication for now.
    The references describing the methods in this package will be added later.

Upload R data.frame to Arm Treasure Data, see <https://www.treasuredata.com/>. 
  You can execute database or table handling for resources on Arm Treasure Data.

Robust tail dependence estimation for bivariate models. This package is based on two papers by the authors:'Robust and bias-corrected estimation of the coefficient of tail dependence' and 'Robust and bias-corrected estimation of probabilities of extreme failure sets'. This work was supported by a research grant (VKR023480) from VILLUM FONDEN and an international project for scientific cooperation (PICS-6416).

Provides response time distributions (density/PDF,
       distribution function/CDF, quantile function, and random
       generation): (a) Ratcliff diffusion model (Ratcliff &
       McKoon, 2008, <doi:10.1162/neco.2008.12-06-420>) based on C
       code by Andreas and Jochen Voss and (b) linear ballistic
       accumulator (LBA; Brown & Heathcote, 2008,
       <doi:10.1016/j.cogpsych.2007.12.002>) with different
       distributions underlying the drift rate.