Supervised learning from a source distribution (with known segmentation into cell sub-populations) 
             to fit a target distribution with unknown segmentation. It relies regularized optimal transport to directly 
             estimate the different cell population proportions from a biological sample characterized with flow cytometry 
             measurements. It is based on the regularized Wasserstein metric to compare cytometry measurements from 
             different samples, thus accounting for possible mis-alignment of a given cell population across sample 
             (due to technical variability from the technology of measurements). Supervised learning technique based 
             on the Wasserstein metric that is used to estimate an optimal re-weighting of class proportions in a 
             mixture model Details are presented in Freulon P, Bigot J and Hejblum BP (2023) <doi:10.1214/22-AOAS1660>.

Create simplex plots to visualize the similarity between 
    single-cells and selected clusters in a 1-/2-/3-simplex space.
    Velocity information can be added as an additional layer. 
    See Liu J, Wang Y et al (2023) <doi:10.1093/bioinformatics/btaf119> for more details.

Interface to interest and foreign exchange rates published by the Czech National Bank.

Get programmatic access to the open data provided by the
    Czech Statistical Office (CZSO, <https://csu.gov.cz>).

Creates interactive genome browser. It joins the data analysis power of 'R' and the visualization libraries of 'JavaScript' in one package. Barrios, D. & Prieto, C. (2017) <doi:10.1089/cmb.2016.0213>.

For identifying, estimating, and plotting descriptive multidimensional item response theory models, restricted to 3D and dichotomous or polytomous data that fit the two-parameter logistic model or the graded response model. The method is foremost explorative and centered around the plot function that exposes item characteristics and constructs, represented by vector arrows, located in a three-dimensional interactive latent space. The results can be useful for item-level analysis as well as test development.