Computes the entire solution paths for Support Vector Regression(SVR) with respect to the regularization parameter, lambda and epsilon in epsilon-intensive loss function, efficiently. We call each path algorithm svrpath and epspath. See Wang, G. et al (2008) <doi:10.1109/TNN.2008.2002077> for details regarding the method.

Various tools for semantic vector spaces, such as
    correspondence analysis (simple, multiple and discriminant), latent
    semantic analysis, probabilistic latent semantic analysis, non-negative
    matrix factorization, latent class analysis, EM clustering, logratio
	analysis and log-multiplicative (association) analysis. Furthermore,
    there are specialized distance measures, plotting functions and some helper
    functions.

A socket server allows to connect clients to R.

Functions to enumerate and reference figures, tables and equations
  in R Markdown documents that do not support these features (thus not
  'bookdown' or 'quarto'. Supporting functions for using 'Sweave' and 'Knitr'
  with 'LyX'.

Set of tools aimed at wrapping some of the functionalities of the
  packages tools, utils and codetools into a nicer format so that an IDE can use
  them.

High level management of widgets, windows and other graphical resources.

Utility functions for survey-weighted regression, diagnostics, and visualization.

Estimates the population average controlled difference for a given outcome between levels of a binary treatment, exposure, or other group membership variable of interest for clustered, stratified survey samples where sample selection depends on the comparison group. Provides three methods for estimation, namely outcome modeling and two factorizations of inverse probability weighting. Under stronger assumptions, these methods estimate the causal population average treatment effect. Salerno et al., (2024) <doi:10.48550/arXiv.2406.19597>.

Mixed-effect proportional hazards models for multistage stratified, 
   cluster-sampled, unequally weighted survey samples. Provides variance 
   estimation by Taylor series linearisation or replicate weights.