Implements the classical Jacobi (1846) algorithm for the
eigenvalues and eigenvectors of a real symmetric matrix, both in pure R
and in C++ using Rcpp.  Mainly as a programming example for teaching purposes.
knitr, dplyr, tidyr, ggplot2, microbenchmark

Implements the classical Jacobi (1846) algorithm for the
eigenvalues and eigenvectors of a real symmetric matrix, both in
pure R and in C++ using Rcpp. Mainly as a programming example
for teaching purposes.
stats, knitr, dplyr, tidyr, ggplot2, microbenchmark

Implements the classical Jacobi algorithm for the
eigenvalues and eigenvectors of a real symmetric matrix, both in
pure 'R' and in 'C++' using 'Rcpp'. Mainly as a programming example
for teaching purposes.
stats, knitr, dplyr, tidyr, ggplot2, rbenchmark

stats, knitr, dplyr, tidyr, ggplot2, rbenchmark, rmarkdown

c(person("Maximilian", "Greil",
role = c("aut", "cre"),
email = "maximilian_greil@web.de"),
person("Benedikt", "Greil",
role = "aut",
email = "grbene99@web.de"))
Provides an interface to 'Jamendo' API <https://developer.jamendo.com/v3.0>.
Pull audio, features and other information for a given
'Jamendo' user (including yourself!) or enter an artist's -, album's -,
or track's name and retrieve the available information in seconds.
Maximilian Greil [aut, cre],
Benedikt Greil [aut]

Duncan Temple Lang <duncan@research.bell-labs.com>,
John Chambers <jmc@research.bell-labs.com>
An interface from R to Java to create and call Java objects
and methods.
GPL version 2 or newer. http://www.gnu.org/copyleft/gpl.html

Graphics device routing all graphics commands to a Java
program. The actual functionality of the JavaGD depends
on the Java-side implementation. Simple AWT and Swing
implementations are included.

Graphics device routing all graphics commands to a Java
program. The actual functionality of the JavaGD depends on the
Java-side implementation. Simple AWT and Swing implementations
are included.

Jaya, a Gradient-Free Optimization Algorithm
c(person(given = "Mayur",
family = "Shende",
role = c("aut")),
person(given = "Neeraj",
family = "Bokde",
role = c("aut", "cre"),
email = "neerajdhanraj@gmail.com",
comment = c(ORCID = "0000-0002-3493-9302")))
Maximization or Minimization of a fitness function using Jaya Algorithm (JA).
A population based method which repeatedly modifies a population of individual solutions.
Capable of solving both constrained and unconstrained optimization problems.
It does not contain any hyperparameters.
For further details: R.V. Rao (2016) <doi:10.5267/j.ijiec.2015.8.004> .
Mayur Shende [aut],
Neeraj Bokde [aut, cre] (<https://orcid.org/0000-0002-3493-9302>)