Simulation and pricing routines for rare-event options using
    Adaptive Multilevel Splitting and standard Monte Carlo under
    Black-Scholes and Heston models. Core routines are implemented in C++
    via Rcpp and RcppArmadillo with lightweight R wrappers.

Manage and analyze animal movement data. The functionality of
    'amt' includes methods to calculate home ranges, track statistics
    (e.g. step lengths, speed, or turning angles), prepare data for
    fitting habitat selection analyses, and simulation of space-use from
    fitted step-selection functions.

Creates interactive Venn diagrams using the 'amCharts5' library for 
    'JavaScript'. They can be used directly from the R console, from 'RStudio', 
    in 'shiny' applications, and in 'rmarkdown' documents.

Predicts amyloid proteins using random forests trained on the
    n-gram encoded peptides. The implemented algorithm can be accessed from
    both the command line and shiny-based GUI.

A free software for a fast and easy analysis of 1:1 molecular interaction studies. 
   This package is suitable for a high-throughput data analysis. 
   Both the online app and the package are completely open source. 
   You provide a table of sensogram, tell 'anabel' which method to use,
   and it takes care of all fitting details.
   The first two releases of 'anabel' were created and implemented as in 
   (<doi:10.1177/1177932218821383>, <doi:10.1093/database/baz101>).

Performs simple and canonical CA (covariates on rows/columns) on a two-way frequency table (with missings) by means of SVD. Different scaling methods (standard, centroid, Benzecri, Goodman) as well as various plots including confidence ellipsoids are provided.

Provides a comprehensive set of tools for descriptive statistics,
    graphical data exploration, outlier detection, homoscedasticity testing, and
    multiple comparison procedures. Includes manual implementations of Levene's test,
    Bartlett's test, and the Fligner-Killeen test, as well as post hoc comparison
    methods such as Tukey, Scheffé, Games-Howell, Brunner-Munzel, and others.
    This version introduces two new procedures: the Jonckheere-Terpstra trend test
    and the Jarque-Bera test with Glinskiy's (2024) correction. Designed for use in
    teaching, applied statistical analysis, and reproducible research. 
    Additionally you can find a post hoc Test Planner, which helps you to make a 
    decision on which procedure is most suitable.