Title: Covariance Matrix Adapting Evolutionary Strategy
Description: Single objective optimization using a CMA-ES.
Author: Heike Trautmann <trautmann@statistik.tu-dortmund.de> and Olaf
Mersmann <olafm@statistik.tu-dortmund.de> and David Arnu

Title: Covariance Matrix Adaptation Evolution Strategy
Description: Pure R implementation of the Covariance Matrix Adaptation -
Evolution Strategy (CMA-ES) with optional restarts (IPOP-CMA-ES).
Authors@R: c(person("Jakob", "Bossek", email = "j.bossek@gmail.com", role =
Depends: ParamHelpers (>= 1.3), BBmisc (>= 1.6), checkmate (>= 1.1),

Depends: ParamHelpers (>= 1.8), BBmisc (>= 1.6), checkmate (>= 1.1),

Title: Covariance Matrix Adaption Evolutionary Strategy
Description: Pure R implementation of the Covariance Matrix Adaption -

Title: Conditional Mixture Modeling and Model-Based Clustering
Description: Conditional mixture model fitted via EM (Expectation Maximization) algorithm for model-based clustering, including parsimonious procedure, optimal conditional order exploration, and visualization.
Authors@R: c(person("Yang", "Wang", role =  c("aut", "cre"),
comment = "eigenvalue calculations in c"),
Stephen Moshier [ctb] (eigenvalue calculations in c),
Rouben Rostamian [ctb] (memory allocation in c)

Title: An Implementation of the 'Congruent Matching Cells' Method
c(person(given = "Joe",family = "Zemmels",role = c("aut","cre"),email = "jzemmels@iastate.edu"),
person(given = "Heike",family = "Hofmann",email = "hofmann@iastate.edu",role = "aut"),
person(given = "Susan",family = "VanderPlas", email ="susan.vanderplas@unl.edu",role= "aut"))
Description: An open-source implementation of the 'Congruent Matching Cells'
method for cartridge case identification as proposed by Song (2013) <https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=911193> as well
as an extension of the method proposed by Tong et al. (2015) <doi:10.6028/jres.120.008>.
Provides a wide range of pre, inter, and post-processing options when
working with cartridge case scan data and their associated comparisons. See
the cmcR package website for more details and examples.
Imports: magrittr, x3ptools, dplyr, ggplot2, imager, purrr, zoo,
stringr, assertthat, stats, utils, scales, ggnewscale,
Suggests: knitr, rmarkdown, markdown, testthat, DT, magick, rgl, covr,