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authorGertjan van den Burg <burg@ese.eur.nl>2017-01-25 14:03:38 +0100
committerGertjan van den Burg <burg@ese.eur.nl>2017-01-25 14:03:38 +0100
commit96e7bc6fdf292c7f73e599dae0b7957161e15212 (patch)
tree1bedb98795b657ce51be2a6a79da7fe69435b00a /R
parentAdd author and reference to each public method documentation (diff)
downloadsparsestep-96e7bc6fdf292c7f73e599dae0b7957161e15212.tar.gz
sparsestep-96e7bc6fdf292c7f73e599dae0b7957161e15212.zip
Various documentation fixes
Diffstat (limited to 'R')
-rw-r--r--R/coef.sparsestep.R7
-rw-r--r--R/path.sparsestep.R1
-rw-r--r--R/sparsestep-package.R10
-rw-r--r--R/sparsestep.R4
4 files changed, 17 insertions, 5 deletions
diff --git a/R/coef.sparsestep.R b/R/coef.sparsestep.R
index 567b1f0..3ebbbc0 100644
--- a/R/coef.sparsestep.R
+++ b/R/coef.sparsestep.R
@@ -5,9 +5,10 @@
#' @param object a \code{sparsestep} object
#' @param \dots further argument are ignored
#'
-#' @return The coefficients of the SparseStep model (i.e. the betas). If the
-#' model was fitted with an intercept this will be the first value in the
-#' resulting vector.
+#' @return The coefficients of the SparseStep model (i.e. the betas) as a
+#' dgCMatrix. If the model was fitted with an intercept this will be the first
+#' row in the resulting matrix.
+#'
#' @author
#' Gerrit J.J. van den Burg, Patrick J.F. Groenen, Andreas Alfons\cr
#' Maintainer: Gerrit J.J. van den Burg <gertjanvandenburg@gmail.com>
diff --git a/R/path.sparsestep.R b/R/path.sparsestep.R
index 429526f..01a9901 100644
--- a/R/path.sparsestep.R
+++ b/R/path.sparsestep.R
@@ -68,6 +68,7 @@
#' \emph{SparseStep: Approximating the Counting Norm for Sparse Regularization},
#' arXiv preprint arXiv:1701.06967 [stat.ME].
#' URL \url{https://arxiv.org/abs/1701.06967}.
+#'
#' @seealso
#' \code{\link{coef}}, \code{\link{print}}, \code{\link{predict}},
#' \code{\link{plot}}, and \code{\link{sparsestep}}.
diff --git a/R/sparsestep-package.R b/R/sparsestep-package.R
index c1c5361..97fcd5b 100644
--- a/R/sparsestep-package.R
+++ b/R/sparsestep-package.R
@@ -38,6 +38,16 @@
#' arXiv preprint arXiv:1701.06967 [stat.ME].
#' URL \url{https://arxiv.org/abs/1701.06967}.
#'
+#' @examples
+#' x <- matrix(rnorm(100*20), 100, 20)
+#' y <- rnorm(100)
+#' fit <- sparsestep(x, y)
+#' plot(fit)
+#' fits <- path.sparsestep(x, y)
+#' plot(fits)
+#' x2 <- matrix(rnorm(50*20), 50, 20)
+#' y2 <- predict(fits, x2)
+#'
#' @name sparsestep-package
#' @docType package
#' @import Matrix
diff --git a/R/sparsestep.R b/R/sparsestep.R
index ef4ab22..f3c2901 100644
--- a/R/sparsestep.R
+++ b/R/sparsestep.R
@@ -1,6 +1,6 @@
-#' @title Fits the SparseStep model
+#' @title Fit the SparseStep model
#'
-#' @description Fits the SparseStep model for a single value of the
+#' @description Fits the SparseStep model for a chosen values of the
#' regularization parameter.
#'
#' @param x matrix of predictors