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c060 (version 0.4-0)

c060-package: c060: Extended Inference for Lasso and Elastic-Net Regularized Cox and Generalized Linear Models

Description

The c060 package provides additional functions to perform stability selection, model validation and parameter tuning for glmnet models.

Arguments

Author

Thomas Hielscher t.hielscher@dkfz.de, Manuela Zucknick, Natalia Becker, Frédéric Bertrand.

References

Friedman, J., Hastie, T. and Tibshirani, R. (2008) Regularization Paths for Generalized Linear Models via Coordinate Descent, https://web.stanford.edu/~hastie/Papers/glmnet.pdf
Journal of Statistical Software, Vol. 33(1), 1-22 Feb 2010
https://www.jstatsoft.org/v33/i01/
Simon, N., Friedman, J., Hastie, T., Tibshirani, R. (2011) Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent, Journal of Statistical Software, Vol. 39(5) 1-13
https://www.jstatsoft.org/v39/i05/
Porzelius, C., Binder, H., and Schumacher, M. (2009) Parallelized prediction error estimation for evaluation of high-dimensional models, Bioinformatics, Vol. 25(6), 827-829.
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. https://doi.org/10.18637/jss.v062.i05.

See Also

predictProb.coxnet, peperr, glmnet