'Rcpp' Access to the 'CCTZ' timezone library is provided. 'CCTZ' is
 a C++ library for translating between absolute and civil times using the rules
 of a time zone. The 'CCTZ' source code, released under the Apache 2.0 License,
 is included in this package. See <https://github.com/google/cctz> for more
 details.

It provides functions to estimate parameters in linear spatial models with 
  censored/missing responses via the Expectation-Maximization (EM), the Stochastic 
  Approximation EM (SAEM), or the Monte Carlo EM (MCEM) algorithm. These algorithms 
  are widely used to compute the maximum likelihood (ML) estimates in problems with 
  incomplete data. The EM algorithm computes the ML estimates when a closed expression 
  for the conditional expectation of the complete-data log-likelihood function is 
  available. In the MCEM algorithm, the conditional expectation is substituted by a 
  Monte Carlo approximation based on many independent simulations of the missing data. 
  In contrast, the SAEM algorithm splits the E-step into simulation and integration 
  steps. This package also approximates the standard error of the estimates using the 
  Louis method. Moreover, it has a function that performs spatial prediction in new 
  locations.

Creates a header only package to link to the 'CGAL' 
  (Computational Geometry Algorithms Library)
  header files in 'Rcpp'. There are a variety of potential uses for 
  the software such as Hilbert sorting, K-D Tree nearest neighbors, 
  and convex hull algorithms. For more information about how to use the header files, 
  see the 'CGAL' documentation at <https://www.cgal.org>. Currently
  downloads version 6.1 of the 'CGAL' header files.

The 'RcppClassic' package provides a deprecated C++ library which
 facilitates the integration of R and C++. New projects should use the new 'Rcpp'
 'API' in the 'Rcpp' package.

The 'Rcpp' package contains a C++ library that facilitates the
 integration of R and C++ in various ways via a rich API. This API was
 preceded by an earlier version which has been deprecated since 2010 (but is
 still supported to provide backwards compatibility in the package
 'RcppClassic').  This package 'RcppClassicExamples' provides usage examples for
 the older, deprecated API. There is also a corresponding package
 'RcppExamples' with examples for the newer, current API which we
 strongly recommend as the basis for all new development.