[valse.git] / R / discardSimilarModels2.R

#' Similar to discardSimilarModels, for Lasso-rank procedure (focus on columns)
#'
#' @param B1 array of relevant coefficients (of size p*m*length(gridlambda))
#' @param rho covariance matrix
#' @param pi weight parameters
#'
#' @return
#' @export
#'
#' @examples
discardSimilarModels2 = function(B1,rho,pi)
{	ind = c()
	dim_B1 = dim(B1)
	B2 = array(0,dim=c(dim_B1[1],dim_B1[2],dim_B1[3]))
	sizeLambda=dim_B1[3]
	glambda = rep(0,sizeLambda)

	suppressmodel = discardSimilarModels(B1,B2,glambda,rho,pi)
	return (list(B1 = suppressmodel$B1, ind = suppressmodel$B2,
		rho = suppressmodel$rho, pi = suppressmodel$pi))
}
Commit	Line	Data
d1531659	1	#' Similar to discardSimilarModels, for Lasso-rank procedure (focus on columns)
	2	#'
	3	#' @param B1 array of relevant coefficients (of size pmlength(gridlambda))
	4	#' @param rho covariance matrix
	5	#' @param pi weight parameters
	6	#'
	7	#' @return
	8	#' @export
	9	#'
	10	#' @examples
	11	discardSimilarModels2 = function(B1,rho,pi)
	12	{ ind = c()
	13	dim_B1 = dim(B1)
	14	B2 = array(0,dim=c(dim_B1[1],dim_B1[2],dim_B1[3]))
	15	sizeLambda=dim_B1[3]
	16	glambda = rep(0,sizeLambda)
	17
	18	suppressmodel = discardSimilarModels(B1,B2,glambda,rho,pi)
	19	return (list(B1 = suppressmodel$B1, ind = suppressmodel$B2,
	20	rho = suppressmodel$rho, pi = suppressmodel$pi))
	21	}