R/dcalasso-package.R

In celehs/dcalasso: Fast divide-and-conquer Cox proportional hazards model with adaptive lasso

#'
#'\tabular{ll}{
#'Package: \tab dcalasso\cr
#'Type: \tab Package\cr
#'Version: \tab 0.1\cr
#'Date: \tab 2018-04-09 \cr
#'License: \tab GPL (>= 2)\cr
#'LazyLoad: \tab yes\cr
#'}
#' Divide-and-conquer adaptive lasso for Cox model based on divide and conquer and least square approximation
#'
#' @name dcalasso-package
# @aliases dcalasso
#' @docType package
#' @title Divide-and-Conquer adaptive lasso for Cox model with least square approximation
#' @author Yan Wang  \email{yaw719@mail.harvard.edu}, Tianxi Cai \email{tcai@hsph.harvard.edu}, Chuan Hong <Chuan_Hong@hms.harvard.edu>
#' @references
#' the paper
#' @import survival mgcv glmnet doParallel foreach MASS
#' @importFrom graphics plot
#' @importFrom stats delete.response 
#' @importFrom stats model.extract
#' @importFrom stats model.frame
#' @importFrom stats model.matrix
#' @importFrom stats model.offset
#' @importFrom stats model.weights
#' @importFrom stats pnorm
#' @importFrom stats predict
#' @importFrom stats printCoefmat
#' @importFrom stats rexp
#' @importFrom stats runif
#' @importFrom stats rweibull
#' @importFrom stats terms
#' @useDynLib dcalasso, .registration = TRUE
#' @keywords divide-and-conquer least square approximation
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