Single objective optimization using a CMA-ES.

Pure R implementation of the Covariance Matrix Adaptation -
    Evolution Strategy (CMA-ES) with optional restarts (IPOP-CMA-ES).

It provides functions that calculate Mahalanobis distance, Euclidean distance, Manhattan distance, Chebyshev distance, Hamming distance, Canberra distance, Minkowski dissimilarity (distance defined for p >= 1), Cosine dissimilarity, Bhattacharyya dissimilarity, Jaccard distance, Hellinger distance, Bray-Curtis dissimilarity, Sorensen-Dice dissimilarity between each pair of species in a list of data frames. These statistics are fundamental in various fields, such as cluster analysis, classification, and other applications of machine learning and data mining, where assessing similarity or dissimilarity between data is crucial. The package is designed to be flexible and easily integrated into data analysis workflows, providing reliable tools for evaluating distances in multidimensional contexts.

Concept maps are versatile tools used across disciplines to enhance understanding,
  teaching, brainstorming, and information organization. This package provides functions for
  processing and visualizing concept mapping data, involving the sequential use of cluster analysis 
  (for sorting participants and statements), multidimensional scaling (for positioning statements 
  in a conceptual space), and visualization techniques, including point cluster maps and 
  dendrograms. The methodology and its validity are discussed in Kampen, J.K., Hageman, J.A.,
  Breuer, M., & Tobi, H. (2025). "The validity of concept mapping: let's call a spade a spade." 
  Qual Quant. <doi:10.1007/s11135-025-02351-z>.

Contains the Commercial Modular Aero-Propulsion System Simulation (C-MAPSS) data set.

Automatically displays graphical visualization for exported data table (permutated results) from Connectivity Map (CMap) (2006) <doi:10.1126/science.1132939>. 
  It allows the representation of the statistics (p-value and enrichment) according to each cell lines in the form of a bubble plot.