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3280132810 of 38682 results
64991.
GNU R package implementing the random forest classificator
Summary
(no translation yet)
Located in Package: r-cran-randomforest
64992.
RandomForest implements Breiman’s random forest algorithm (based on Breiman and Cutler’s original Fortran code) for classification and regression. It can also be used in unsupervised mode for assessing proximities among data points.
Description
(no translation yet)
Located in Package: r-cran-randomforest
64993.
The technique uses multiple decision trees and combines their individual votes.
Description
(no translation yet)
Located in Package: r-cran-randomforest
64994.
GNU R package for sampling binary matrices with fixed margins
Summary
(no translation yet)
Located in Package: r-cran-raschsampler
64995.
This package implements an MCMC algorithm for sampling of binary matrices with fixed margins complying to the Rasch model. Its stationary distribution is uniform. The algorithm also allows for square matrices with fixed diagonal.
Description
(no translation yet)
Located in Package: r-cran-raschsampler
64998.
GNU R package providing suitable color palettes
Summary
(no translation yet)
Located in Package: r-cran-rcolorbrewer
64999.
This package of functions for GNU R provides the 'Color Brewer' palettes for drawing nice maps, or coloring other charts. See http://www.colorbrewer.org for an details on the Color Brewer colouring schemes.
Description
(no translation yet)
Located in Package: r-cran-rcolorbrewer
65000.
GNU R package for Seamless R and C++ Integration
Summary
(no translation yet)
Located in Package: r-cran-rcpp
65001.
The Rcpp package provides a C++ library which facilitates the integration of R and C++.
Description
(no translation yet)
Located in Package: r-cran-rcpp
65002.
R data types (SEXP) are matched to C++ objects in a class hierarchy. All R types are supported (vectors, functions, environment, etc ...) and each type is mapped to a dedicated class. For example, numeric vectors are represented as instances of the Rcpp::NumericVector class, environments are represented as instances of Rcpp::Environment, functions are represented as Rcpp::Function, etc ... The "Rcpp-introduction" vignette provides a good entry point to Rcpp.
Description
(no translation yet)
Located in Package: r-cran-rcpp
3280132810 of 38682 results

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