Pattern Matching and Enumerated Types in R
Inspired by pattern matching and enum types in Rust
and many functional programming languages, this package offers
an updated version of the 'switch' function called 'Match' that
accepts atomic values, functions, expressions, and enum variants.
Conditions and return expressions are separated by '->' and
multiple conditions can be associated with the same return expression
using '|'. 'Match' also includes support for 'fallthrough'. The
package also replicates the Result and Option enums from Rust.

A Code Converter from the Matlab/Octave Language to R
c(person("Siddarta", "Jairam", email = "sidjsb@gmail.com", role = c("aut", "cre")),
person("David", "Hiebeler", email = "hiebeler@math.umaine.edu", role = "ctb"))
Transferring over a code base from Matlab to R is often a repetitive
and inefficient use of time. This package provides a translator for Matlab /
Octave code into R code. It does some syntax changes, but most of the heavy
lifting is in the function changes since the languages are so similar.
Options for different data structures and the functions that can be changed
are given. The Matlab code should be mostly in adherence to the standard
style guide but some effort has been made to accommodate different number of
spaces and other small syntax issues. This will not make the code more R
friendly and may not even run afterwards. However, the rudimentary syntax,
base function and data structure conversion is done quickly so that the
maintainer can focus on changes to the design structure.
Siddarta Jairam [aut, cre],
David Hiebeler [ctb]

person("Kisung", "You", role = c("aut", "cre"), email = "kyou@nd.edu")
It provides tools for computing densities and generating random samples
from matrix variate distributions, including matrix normal, Wishart, matrix Student-t,
matrix Dirichlet and matrix beta distributions. For complete disposition, see
Gupta and Nagar (1999) <ISBN:978-1584880462>.

person("Kisung", "You", role = c("aut", "cre"), email = "kyou@nd.edu",comment=c(ORCID="0000-0002-8584-459X"))
Provides tools for computing densities and generating random samples
from matrix variate distributions, including matrix normal, Wishart, matrix Student-t,
matrix Dirichlet and matrix beta distributions. For complete disposition, see
Gupta and Nagar (1999) <ISBN:978-1584880462>.