R/ccdr.R

In itsrainingdata/ccdr: CCDr Algorithm for Learning Sparse Gaussian Bayesian Networks.

#' ccdr: Structure learning for Bayesian networks using the CCDr algorithm.
#'
#' \code{ccdr} implements the CCDr structure learning algorithm for Bayesian networks.
#'
#' Based on observational data, this algorithm estimates the structure of a Bayesian network
#' (aka edges in a DAG) using penalized maximum likelihood based on L1 or concave (MCP) regularization.
#' The main methods are:
#' \describe{
#'  \item{\code{\link{ccdr.run}}}{Executes the main algorithm.}
#'  \item{\code{\link{generate.lambdas}}}{Convenience method for generating a good sequence of regularization parameters.}
#' }
#'
#' @docType package
#' @name ccdr
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