Provides tools to access the J-STAGE WebAPI and retrieve 
    information published on J-STAGE 
    <https://www.jstage.jst.go.jp/browse/-char/ja>.

Create and customize interactive trees using the
       'jQuery' 'jsTree' <https://www.jstree.com/> plugin
       library and the 'htmlwidgets' package. These trees can
       be used directly from the R console, from 'RStudio', in
       Shiny apps and R Markdown documents.

Creates interactive trees that can be included in 'Shiny'
    apps and R markdown documents. A tree allows to represent hierarchical
    data (e.g. the contents of a directory). Similar to the 'shinyTree'
    package but offers more features and options, such as the grid
    extension, restricting the drag-and-drop behavior, and settings for
    the search functionality. It is possible to attach some data to the
    nodes of a tree and then to get these data in 'Shiny' when a node is
    selected. Also provides a 'Shiny' gadget allowing to manipulate one or
    more folders, and a 'Shiny' module allowing to navigate in the server
    side file system.

Uses least squares optimisation to estimate the parameters of the best-fitting JohnsonSU distribution for a given dataset, with the possibility of the distributions corresponding to the limiting cases of the JohnsonSU distribution. The code for the Golden Section Search used in the optimisation has been adapted from E. Cai. This package has been created as an extension of my Master's thesis. E. Cai (2013, "Scripts and Functions: Using R to Implement the Golden Section Search Method for Numerical Optimization", <https://chemicalstatistician.wordpress.com/2013/04/22/using-r-to-implement-the-golden-bisection-method/>).

A collection of popular/useful JavaScript utilities, including the
    terser minifier, sass compiler, typescript transpiler, and more.

Fitting and analyzing a Joint Trait Distribution Model. The Joint Trait Distribution Model is implemented in the Bayesian framework using conjugate priors and posteriors, thus guaranteeing fast inference. In particular the package computes joint probabilities and multivariate confidence intervals, and enables the investigation of how they depend on the environment through partial response curves. The method implemented by the package is described in Poggiato et al. (2023) <doi:10.1111/geb.13706>.