Commit c94c168d by 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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