Description Usage Format See Also

This data contains two matrices: one for the `Prostat`

e dataset (from R
package `lasso2`

) and the other for the `eyedata`

dataset (from R
package `flare`

). Each matrix has 5 rows and 28 colums. The columns can
be grouped as three blocs of 9 (for each method compared: `LASSO`

,
`RIDGE`

, Elastic net [`ELNET`

], Stepwise variable selection
[`STEP`

], `CLERE`

, CLERE sparse [`CLERE_s`

], Spike and Slab
[`SS`

], `AVG`

method and Pairwise Absolute Clustering and Sparsity
[`PACS`

]). The 1st 9 (1:9) contain prediction error obtained by 5-fold
cross validation using 10 random permutation of the covariate matrix. The
2nd 9 columns (10:18) contain the number of parameters estimated for each
method. The 3rd 9 columns are times in seconds measured for fitting each
methods. The 28 column is the seed utilized for generating random numbers in
these analyses. For more details, please refer the package vignette. The R
script used to create this dataset is clere/inst/doc/RealDataExample.R.

1 |

A list containing two matrices: one for the Prostate dataset (from R package lasso2) and the other for the Eye dataset (from R package flare)

Overview : `clere-package`

Classes : `Clere`

, `Pacs`

Methods : `plot`

, `clusters`

, `predict`

, `summary`

Functions : `fitClere`

, `fitPacs`

Datasets : `numExpRealData`

, `numExpSimData`

, `algoComp`

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