An interactive document on  the topic of multidimensional scaling and principal component analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at  <https://kartikeyabolar.shinyapps.io/MDS_PCAShiny/>.

A complement to all editions of *Modern Data
    Science with R* 
     (ISBN: 978-0367191498, publisher URL: 
    <https://www.routledge.com/Modern-Data-Science-with-R/Baumer-Kaplan-Horton/p/book/9780367191498>).
    This package contains data and code to complete exercises and 
    reproduce examples from the text. It also facilitates connections 
    to the SQL database server used in the book. All editions of the book are 
    supported by this package.

Modeling microstructures of
	human tooth dentin and
	horizontal serial-sectioning of the dentin.
	Corresponding age range of dentin serial sections,
	that is used in stable isotope analyses,
	can be calculated by using this package.

Dimension-reduction methods aim at defining a score that maximizes signal diversity. Three approaches, tree weight, maximum entropy weights, and maximum variance weights are provided. These methods are described in He and Fong (2019) <DOI:10.1002/sim.8212>.

Analyse and visualise multi electrode array data at the single electrode and whole well level, downstream of 'AxIS Navigator 3.6.2 Software' processing. 
             Compare bursting parameters between time intervals and recordings using the bar chart visualisation functions. Compatible with 12- and 24- well plates.

Provides a comprehensive suite of estimation tools for meanimiles, 
    a general class of (risk) functionals. This package includes nonparametric 
    estimators for univariate meanimile evaluation, copula-based estimation 
    for portfolio risk aggregation (full parametric, semiparametric, and nonparametric),
    and novel estimators for meanimiles in regression settings. 
    Following the articles D. Debrauwer, I. Gijbels, and K. Herrmann (2025)
    <doi:10.1214/25-EJS2391>, D. Debrauwer and I. Gijbels (2026)
    <doi:10.1007/s00184-026-01022-9>.