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Adjustments for CRAN upload
[valse.git]
/
pkg
/
R
/
computeGridLambda.R
diff --git
a/pkg/R/computeGridLambda.R
b/pkg/R/computeGridLambda.R
index
f087ba7
..
f4073d0
100644
(file)
--- a/
pkg/R/computeGridLambda.R
+++ b/
pkg/R/computeGridLambda.R
@@
-12,8
+12,10
@@
#' @param mini minimum number of iterations in EM algorithm
#' @param maxi maximum number of iterations in EM algorithm
#' @param eps threshold to stop EM algorithm
#' @param mini minimum number of iterations in EM algorithm
#' @param maxi maximum number of iterations in EM algorithm
#' @param eps threshold to stop EM algorithm
+#' @param fast boolean to enable or not the C function call
#'
#'
-#' @return the grid of regularization parameters
+#' @return the grid of regularization parameters for the Lasso estimator. The output is a vector with nonnegative values that are relevant
+#' to be considered as regularization parameter as they are equivalent to a 0 in the regression parameter.
#'
#' @export
computeGridLambda <- function(phiInit, rhoInit, piInit, gamInit, X, Y, gamma, mini,
#'
#' @export
computeGridLambda <- function(phiInit, rhoInit, piInit, gamInit, X, Y, gamma, mini,