Global Optimization by Differential Evolution in C++
An efficient C++ based implementation of the 'DEoptim'
function which performs global optimization by differential evolution.
Its creation was motivated by trying to see if the old approximation "easier,
shorter, faster: pick any two" could in fact be extended to achieving all
three goals while moving the code from plain old C to modern C++.  The
initial version did in fact do so, but a good part of the gain was due to
an implicit code review which eliminated a few inefficiencies which have
since been eliminated in 'DEoptim'.

This package is based on the C++ code from Yusuke Sugomori,
which implements basic machine learning methods with
many layers (deep learning), including dA (Denoising Autoencoder),
SdA (Stacked Denoising Autoencoder), RBM (Restricted Boltzmann machine) and
DBN (Deep Belief Nets).

'date' C++ Header Library for Date and Time Functionality
'date' is a C++ header library offering extensive date
and time functionality for the C++11, C++14 and C++17 standards
written by Howard Hinnant and released under the MIT license. A
slightly modified version has been accepted (along with 'tz.h') as
part of C++20. This package regroups all header files from the
upstream repository by Howard Hinnant so that other R packages can
use them in their C++ code. At present, few of the types have
explicit 'Rcpp' wrapper though these may be added as needed.

A header-only C++ library is provided with support
for dates, time zones, ISO weeks, Julian dates, and Islamic dates.
'date' offers extensive date and time functionality for the C++11,
C++14 and C++17 standards and was written by Howard Hinnant and released
under the MIT license. A slightly modified version has been accepted
(along with 'tz.h') as part of C++20. This package regroups all
header files from the upstream repository by Howard Hinnant so that
other R packages can use them in their C++ code. At present, few of
the types have explicit 'Rcpp' wrappers though these may be added as
needed.