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c060 (version 0.3-0)

balancedFolds : Function producing stratified/ balanced folds for cross validation

Description

Get balanced folds for cross validation, which are used for tuning penalization parameters

Usage

balancedFolds(class.column.factor, cross.outer)

Value

permutated.cut

vector of length n, indicating the fold belongs to

model

model list

  • alpha - optimal alpha

  • lambda - optimal lambda

  • nfolds - cross-validation's folds

  • cvreg - cv.glmnet object for optimal alpha

  • fit - glmnet object for optimal alpha and optimal lambda

Arguments

class.column.factor

class labels of length n

cross.outer

number of folds

Author

Natalia Becker natalia.becker at dkfz.de

References

Sill M., Hielscher T., Becker N. and Zucknick M. (2014), c060: Extended Inference with Lasso and Elastic-Net Regularized Cox and Generalized Linear Models, Journal of Statistical Software, Volume 62(5), pages 1--22. tools:::Rd_expr_doi("10.18637/jss.v062.i05")

See Also

EPSGO