Examples using ‘Rcpp’ to Interface R and C++ (RcppExamples)
Examples for Seamless R and C++ integration The ‘Rcpp’ package contains a C++ library that facilitates the integration of R and C++ in various ways. This package provides some usage examples. Note that the documentation in this package currently does not cover all the features in the package. It is not even close. On the other hand, the site <http://gallery.rcpp.org> is regrouping a large number of examples for ‘Rcpp’.
Reconstruction of Daily Data – Precipitation (reddPrec)
Computes quality control to daily precipitation datasets, reconstructs the original series by estimating precipitation in missing values, creates new series in a specified pair of coordinates and creates grids.
Variable Selection for Binary Data Using the EM Algorithm (BinaryEMVS)
Implements variable selection for high dimensional datasets with a binary response variable using the EM algorithm. Both probit and logit models are supported. Also included is a useful function to generate high dimensional data with correlated variables.