A set of functions to analyse and compare texts, using classical 
  text mining	functions, as well as those from theoretical ecology.

A set of functions for performing null hypothesis testing on
    samples of persistence diagrams using the theory of permutations. Currently,
    only two-sample testing is implemented. Inputs can be either samples of
    persistence diagrams themselves or vectorizations. In the former case, they
    are embedded in a metric space using either the Bottleneck or Wasserstein
    distance. In the former case, persistence data becomes functional data and
    inference is performed using tools available in the 'fdatest' package. Main
    reference for the interval-wise testing method: Pini A., Vantini S. (2017)
    "Interval-wise testing for functional data" <doi:10.1080/10485252.2017.1306627>.
    Main reference for inference on populations of networks: Lovato, I., Pini, A.,
    Stamm, A., & Vantini, S. (2020) "Model-free two-sample test for network-valued
    data" <doi:10.1016/j.csda.2019.106896>.

It provides in-place operators for R 
    that are equivalent to '+=', '-=', '*=', '/=' in C++. 
    Those can be applied on integer|double vectors|matrices.
    You have also access to sweep operations (in-place).

Non-parametric resampling-based inference tests for ExPosition.

Collection of functions for quality control (QC) of climatological daily time series (e.g. the ECA&D station data).

For environmental chemists, ecologists, researchers and agricultural scientists to understand the dissipation kinetics, calculate the half-life periods and rate constants of compounds, pesticides, contaminants in different matrices.

A user-friendly interface, using Shiny, to analyse glucose-stimulated insulin secretion (GSIS) 
    assays in pancreatic beta cells or islets.
    The package allows the user to import several sets of experiments from different spreadsheets 
    and to perform subsequent steps: summarise in a tidy format, visualise data quality 
    and compare experimental conditions without omitting to account for technical confounders 
    such as the date of the experiment or the technician.
    Together, insane is a comprehensive method that optimises pre-processing and analyses of 
    GSIS experiments in a friendly-user interface.
    The Shiny App was initially designed for EndoC-betaH1 cell line following method described 
    in Ndiaye et al., 2017 (<doi:10.1016/j.molmet.2017.03.011>).