Package: c060 0.3-0

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

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

Authors:Martin Sill, Thomas Hielscher, Manuela Zucknick, Natalia Becker.

# Install 'c060' in R:

install.packages('c060', repos = c('https://fbertran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Last updated 2 years agofrom:ef03998921. Checks:5 OK, 3 NOTE. Indexed: yes.

Help page	Topics
Determine the area under the ROC curve for a fitted model	aggregation.auc
Function producing stratified/ balanced folds for cross validation	balancedFolds
Get coefficients for a model	coef.sum.intsearch
Interface for determination of penalty lambda in penalized regression model via cross-validation	complexity.glmnet
Efficient Parameter Selection via Global Optimization	epsgo
Interface function for fitting a penalized regression model with 'glmnet'	fit.glmnet
Predictive partial log-likelihood for glmnet Cox PH model fit	PLL.coxnet
function to highlight the path of a pre-specified set of variables within the coefficient path	Plot.coef.glmnet
Plot method for prediction error curves of a peperr object	Plot.peperr.curves
function to plot a stability path	plot.stabpath
Plot Summary object for interval search models	plot.sum.intsearch
Extract predicted survival probabilities from a glmnet fit	predictProb.coxnet
Extract predicted survival probabilities from a glmnet fit	predictProb.glmnet
Stability path for glmnet models	stabpath
function to estimate a stable set of variables	stabsel
Summary method for interval search models	summary.intsearch
Wrapper function for 'glmnet' objects.	tune.glmnet.interval