Title: "Retained Component Criterion for Principal Component Analysis"
Description: The RCC_PCA criterion is a tool to determine the optimal number of components to retain in PCA;See Alshammri (2021).

Title: Fast 2D Constrained Delaunay Triangulation
person("Artem", "Amirkhanov", role="cph", comment="CDT library"))
Description: Performs 2D Delaunay triangulation, constrained or unconstrained, with the help of the C++ library 'CDT'. A function to plot the triangulation is provided. The constrained Delaunay triangulation has applications in geographic information systems.
Imports: Rcpp (>= 1.0.8), randomcoloR, graphics, gplots

Imports: Rcpp (>= 1.0.8), randomcoloR, graphics, gplots, rgl, Rvcg
Suggests: rmarkdown, knitr, uniformly, viridisLite

person("Artem", "Amirkhanov", role = "cph",
Description: Performs 2D Delaunay triangulation, constrained or
unconstrained, with the help of the C++ library 'CDT'. A function to
plot the triangulation is provided. The constrained Delaunay
triangulation has applications in geographic information systems.
Imports: gplots, graphics, randomcoloR, Rcpp (>= 1.0.8), rgl, Rvcg
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), uniformly, viridisLite

Title: RCEIM - R Cross Entropy Inspired Method for Optimization
Description: RCEIM is a package implementing a stochastic heuristic method for performing multidimensional function optimization. The method is inspired in the Cross-Entropy Method. It does not relies on derivatives, neither imposes particularly strong requirements into the function to be optimized. Additionally, it takes profit from multicore processing to enable optimization of time-consuming functions.

Title: R Cross Entropy Inspired Method for Optimization
Description: An implementation of a stochastic heuristic method for performing multidimensional function optimization. The method is inspired in the Cross-Entropy Method. It does not relies on derivatives, neither imposes particularly strong requirements into the function to be optimized. Additionally, it takes profit from multi-core processing to enable optimization of time-consuming functions.