1 files changed, 16 insertions, 16 deletions

diff --git a/man/sparsestep.Rd b/man/sparsestep.Rd
index 7e8fa44..d00b47c 100644
--- a/man/sparsestep.Rd
+++ b/man/sparsestep.Rd
@@ -1,8 +1,8 @@
-% Generated by roxygen2 (4.1.1): do not edit by hand
+% Generated by roxygen2: do not edit by hand
 % Please edit documentation in R/sparsestep.R
 \name{sparsestep}
 \alias{sparsestep}
-\title{Fits the SparseStep model}
+\title{Fit the SparseStep model}
 \usage{
 sparsestep(x, y, lambda = c(0.1, 0.5, 1, 5, 10), gamma0 = 1000,
   gammastop = 1e-04, IMsteps = 2, gammastep = 2, normalize = TRUE,
@@ -20,34 +20,34 @@ sparsestep(x, y, lambda = c(0.1, 0.5, 1, 5, 10), gamma0 = 1000,
 
 \item{gammastop}{stopping value of the gamma parameter}
 
-\item{IMsteps}{number of steps of the majorization algorithm to perform for
+\item{IMsteps}{number of steps of the majorization algorithm to perform for 
 each value of gamma}
 
 \item{gammastep}{factor to decrease gamma with at each step}
 
-\item{normalize}{if TRUE, each variable is standardized to have unit L2
+\item{normalize}{if TRUE, each variable is standardized to have unit L2 
 norm, otherwise it is left alone.}
 
-\item{intercept}{if TRUE, an intercept is included in the model (and not
+\item{intercept}{if TRUE, an intercept is included in the model (and not 
 penalized), otherwise no intercept is included}
 
-\item{force.zero}{if TRUE, absolute coefficients smaller than the provided
-threshold value are set to absolute zero as a post-processing step,
+\item{force.zero}{if TRUE, absolute coefficients smaller than the provided 
+threshold value are set to absolute zero as a post-processing step, 
 otherwise no thresholding is performed}
 
-\item{threshold}{threshold value to use for setting coefficients to
+\item{threshold}{threshold value to use for setting coefficients to 
 absolute zero}
 
 \item{XX}{The X'X matrix; useful for repeated runs where X'X stays the same}
 
 \item{Xy}{The X'y matrix; useful for repeated runs where X'y stays the same}
 
-\item{use.XX}{whether or not to compute X'X and return it}
+\item{use.XX}{whether or not to compute X'X and return it (boolean)}
 
-\item{use.Xy}{whether or not to compute X'y and return it}
+\item{use.Xy}{whether or not to compute X'y and return it (boolean)}
 }
 \value{
-A "sparsestep" S3 object is returned, for which print, predict,
+A "sparsestep" S3 object is returned, for which print, predict, 
 coef, and plot methods exist. It has the following items:
 \item{call}{The call that was used to construct the model.}
 \item{lambda}{The value(s) of lambda used to construct the model.}
@@ -55,12 +55,12 @@ coef, and plot methods exist. It has the following items:
 \item{gammastop}{The gammastop value of the model}
 \item{IMsteps}{The IMsteps value of the model}
 \item{gammastep}{The gammastep value of the model}
-\item{intercept}{Boolean indicating if an intercept was fitted in the
+\item{intercept}{Boolean indicating if an intercept was fitted in the 
 model}
-\item{force.zero}{Boolean indicating if a force zero-setting was
+\item{force.zero}{Boolean indicating if a force zero-setting was 
 performed.}
 \item{threshold}{The threshold used for a forced zero-setting}
-\item{beta}{The resulting coefficients stored in a sparse matrix format
+\item{beta}{The resulting coefficients stored in a sparse matrix format 
 (dgCMatrix). This matrix has dimensions nvar x nlambda}
 \item{a0}{The intercept vector for each value of gamma of length nlambda}
 \item{normx}{Vector used to normalize the columns of x}
@@ -69,7 +69,7 @@ performed.}
 \item{Xy}{The matrix X'y if use.Xy was set to TRUE}
 }
 \description{
-Fits the SparseStep model for a single value of the
+Fits the SparseStep model for a chosen values of the 
 regularization parameter.
 }
 \examples{
@@ -89,7 +89,7 @@ Van den Burg, G.J.J., Groenen, P.J.F. and Alfons, A. (2017).
  URL \url{https://arxiv.org/abs/1701.06967}.
 }
 \seealso{
-\code{\link{coef}}, \code{\link{print}}, \code{\link{predict}},
+\code{\link{coef}}, \code{\link{print}}, \code{\link{predict}}, 
 \code{\link{plot}}, and \code{\link{path.sparsestep}}.
 }