Collection of custom input controls and user interface components for 'Shiny' applications. 
  Give your applications a unique and colorful style !

Design, build, and deploy R packages demo presentations by an interactive wizard. Set up unique title, logo and themes. Add personalized tabs exposing applicability. And deploy as a part of a package or an independent app.

Provides an XY pad input for the 'Shiny' framework. An XY pad is like a bivariate slider. It allows to pick up a pair of numbers.

Implements estimation methods for shrinkage covariance matrices
    using user-specified covariance targets. The covariance target is a structured
    matrix towards which the unbiased sample covariance is shrunk, optionally
    incorporating prior knowledge. Shrinkage intensity is computed analytically.
    The method is described and applied to microarray gene expression data in
    Jelizarow et al. (2010) <doi:10.1093/bioinformatics/btq323>.

A collection of functions for data manipulation, plotting and statistical computing,
 to use separately or with the book "Visual Statistics. Use R!":
 Shipunov (2020) <http://ashipunov.info/shipunov/software/r/r-en.htm>.
 Dr Alexey Shipunov died in December 2022.
 Most useful functions:
 Bclust(), Jclust() and BootA() which bootstrap hierarchical clustering;
 Recode() which does multiple recoding in a fast, simple and flexible way;
 Misclass() which outputs confusion matrix even if classes are not concerted;
 Overlap() which measures group separation on any projection;
 Biarrows() which converts any scatterplot into biplot;
 and Pleiad() which is fast and flexible correlogram.

Implements statistical methods for detecting evolutionary shifts
    in both the optimal trait value (mean) and evolutionary diffusion variance.
    The method uses an L1-penalized optimization framework to identify branches 
    where shifts occur, and the shift magnitudes. It also supports the 
    inclusion of measurement error. For more details, see Zhang, Ho, and Kenney (2023) <doi:10.48550/arXiv.2312.17480>.