Commit c94c168d authored by DURIF Ghislain's avatar DURIF Ghislain

automatic doc generation

parent 03ae91f2
......@@ -72,6 +72,8 @@ selected among the entire grid of hyper-parameters candidates values,
for increasing size of hyper-parameter grid.}
\item{probs.lambda}{A table with estimated probability of selection for each
covariates depending on the candidates values for hyper-parameters.}
\item{p}{An integer values indicating the number of covariates in the
model.}
}
\description{
The function \code{logit.spls.stab} train a logit-spls model for each
......
......@@ -73,6 +73,8 @@ selected among the entire grid of hyper-parameters candidates values,
for increasing size of hyper-parameter grid.}
\item{probs.lambda}{A table with estimated probability of selection for each
covariates depending on the candidates values for hyper-parameters.}
\item{p}{An integer values indicating the number of covariates in the
model.}
}
\description{
The function \code{multinom.spls.stab} train a multinomial-spls model for
......
......@@ -74,6 +74,8 @@ selected among the entire grid of hyper-parameters candidates values,
for increasing size of hyper-parameter grid.}
\item{probs.lambda}{A table with estimated probability of selection for each
covariates depending on the candidates values for hyper-parameters.}
\item{p}{An integer values indicating the number of covariates in the
model.}
}
\description{
The function \code{spls.stab} train a sparse PLS model for each
......
......@@ -18,7 +18,12 @@ probability used to select covariate (c.f. Durif et al., 2017).}
hyper-parameter candidate values (c.f. Durif et al., 2017).}
}
\value{
the list of the name of covariates that are selected.
An object with the following attributes:
\item{selected.predictors}{The list of the name of covariates that
are selected.}
\item{max.probs}{The corresponding estimated probabilities of selection for
each covariate, i.e. the maximal values on the reduced grid of
hyper-parameters.}
}
\description{
The function \code{stability.selection} returns the list of selected
......
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