Functions that allow you to create your own color palette from an image, using the KMeans algorithm.

A user-friendly interface for the construction of
'Makefiles'.
person("Kirill", "Müller", role = c("aut", "cre"), email =
"krlmlr+r@mailbox.org")

Federico C. F. Calboli; Vincente Canto Cassola together with Martin 	Maechler authored the function mtx.exp.
Federico C. F. Calboli <f.calboli@ucl.ac.uk>
The Malecot package provides an implementation of Malecot migration model in R together with a number of related functions.

Providing the Kubernetes-Like Functions for the Non-Kubernetes
Cloud Service
Providing the kubernetes-like class 'ManagedCloudProvider' as a child class of
the 'CloudProvider' class in the 'DockerParallel' package. The class is able to
manage the cloud instance made by the non-kubernetes cloud service.
For creating a provider for the non-kubernetes cloud service, the developer
needs to define a reference class inherited from 'ManagedCloudProvider' and
define the method for the generics runDockerWorkerContainers(),
getDockerWorkerStatus() and killDockerWorkerContainers(). For more information, please see
the vignette in this package and <https://CRAN.R-project.org/package=DockerParallel>.
DockerParallel(>= 1.0.3), adagio, methods, utils, jsonlite
markdown, knitr, rmarkdown, testthat (>= 3.0.0), readr

Building Mandalas from Parametric Equations of Classical Curves
Provides an algorithm for creating mandalas. From the perspective of classic mathematical curves and rigid movements on the plane, the package allows you to select curves and produce mandalas from the curve. The algorithm was developed based on the book by Alcoforado et. al. entitled "Art, Geometry and Mandalas with R" (2022) in press by the USP Open Books Portal.

Mangrove is an R package for performing genetic risk
prediction from genotype data.  You can use it to perform risk
prediction for individuals, or for families with missing data.

Methods for performing genetic risk
prediction from genotype data.  You can use it to perform risk
prediction for individuals, or for families with missing data.