R/RcppGLM-package.R

## For non-trivial roxygen2 usage

##' A parallel generalization linear model solver for large scale data
##'
##' This package implements versions of generalization linear model that are
##' appropriate for learning big data. It does so by wrapping the (C++) library
##' developed by Eric Xin Zhou.
##' @docType package
##' @name RcppGLM
##' @aliases RcppGLM package-RcppGLM
##' @useDynLib RcppGLM
##' @import Rcpp methods
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##' mini_mnist data is the hand writing digits classification tasks
##'
##' @name mini_mnist
##' @docType data
##' @usage data(mini_mnist, package = 'RcppGLM')
##' @format mini_mnist : list
##' @keywords datasets
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xinchoubiology/RcppGLM documentation built on May 4, 2019, 1:06 p.m.