ncvreg-package
(Package: ncvreg) :
Regularization paths for SCAD- and MCP-penalized regression
Efficient algorithms for fitting regularization paths for a variety of regression models (linear, logistic, Poisson, survival) penalized by MCP or SCAD, with optional additional L2 penalty.
● Data Source:
CranContrib
● Keywords:
● Alias: ncvreg-package
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plot.ncvsurv.func
(Package: ncvreg) :
Plot survival curve for ncvsurv model
Plot survival curve for a model that has been fit using ncvsurv followed by a prediction of the survival function using predict.ncvsurv
● Data Source:
CranContrib
● Keywords:
● Alias: plot.ncvsurv.func
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plot.fir
(Package: ncvreg) :
Plot false inclusion rate curves
Plot false inclusion rate curves from an "fir" or "perm.ncvreg" object.
● Data Source:
CranContrib
● Keywords:
● Alias: plot.fir
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ncvreg
(Package: ncvreg) :
Fit an MCP- or SCAD-penalized regression path
Fit coefficients paths for MCP- or SCAD-penalized regression models over a grid of values for the regularization parameter lambda. Fits linear and logistic regression models, with option for an additional L2 penalty.
● Data Source:
CranContrib
● Keywords:
● Alias: ncvreg
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cv.ncvreg
(Package: ncvreg) :
Cross-validation for ncvreg
Performs k-fold cross validation for MCP- or SCAD-penalized regression models over a grid of values for the regularization parameter lambda.
● Data Source:
CranContrib
● Keywords:
● Alias: cv.ncvreg
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plot.cv.ncvreg
(Package: ncvreg) :
Plots the cross-validation curve from a "cv.ncvreg" object
Plots the cross-validation curve from a "cv.ncvreg" object, along with standard error bars.
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: plot.cv.ncvreg
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Internal ncvreg functions
● Data Source:
CranContrib
● Keywords: internal
● Alias: convexMin, setupLambda
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summary.cv.ncvreg
(Package: ncvreg) :
Summarizing inferences based on cross-validation
Summary method for cv.ncvreg objects
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: print.summary.cv.ncvreg, summary.cv.ncvreg
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permres
(Package: ncvreg) :
Permute residuals for a fitted ncvreg model
Fits multiple penalized regression models in which the residuals are randomly permuted, thereby allowing estimation of the false inclusion rate.
● Data Source:
CranContrib
● Keywords:
● Alias: permres, permres.ncvreg
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fir
(Package: ncvreg) :
False inclusion rates for ncvreg (independence approximation)
Estimates false inclusion rates (FIR) for penalized regression models based on an approximation of independence between the predictors.
● Data Source:
CranContrib
● Keywords:
● Alias: fir
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providing 
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