Commit f1bb5135 authored by Tom Reynkens's avatar Tom Reynkens

Remove remark on glmsmurf.fit

parent c0cae758
Type: Package
Package: smurf
Title: Sparse Multi-Type Regularized Feature Modeling
Version: 0.4.0.9000
Date: 2018-09-24
Version: 0.4.0.9001
Date: 2018-09-25
Authors@R: c(
person("Tom", "Reynkens", email = "tomreynkens@hotmail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-5516-5107")),
......
......@@ -51,7 +51,7 @@
#' \item \code{"gam"} (ad. GAM penalty weights),
#' \item \code{"gam.stand"} (stand. ad. GAM penalty weights);
#' }
#' or a list with the penalty weight vector per predictor. For \code{glmsmurf.fit}, only the second option (list) is possible. This list should have length equal to the number of predictors and predictor names as element names.
#' or a list with the penalty weight vector per predictor. This list should have length equal to the number of predictors and predictor names as element names.
#' @param adj.matrix A named list containing the adjacency matrices (a.k.a. neighbor matrices) for each of the predictors with a Graph-Guided Fused Lasso penalty.
#' The list elements should have the names of the corresponding predictors. If only one predictor has a Graph-Guided Fused Lasso penalty,
#' it is also possible to only give the adjacency matrix itself (not in a list).
......
......@@ -66,7 +66,7 @@ A positive numeric with default 0 (no extra \eqn{L_1}-penalty).}
\item \code{"gam"} (ad. GAM penalty weights),
\item \code{"gam.stand"} (stand. ad. GAM penalty weights);
}
or a list with the penalty weight vector per predictor. For \code{glmsmurf.fit}, only the second option (list) is possible. This list should have length equal to the number of predictors and predictor names as element names.}
or a list with the penalty weight vector per predictor. This list should have length equal to the number of predictors and predictor names as element names.}
\item{adj.matrix}{A named list containing the adjacency matrices (a.k.a. neighbor matrices) for each of the predictors with a Graph-Guided Fused Lasso penalty.
The list elements should have the names of the corresponding predictors. If only one predictor has a Graph-Guided Fused Lasso penalty,
......
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