R Graphical Manual

Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 5 of 5 found.
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tune.fit (Package: SIS) :

This function fits a generalized linear model or a Cox proportional hazards model via penalized maximum likelihood, with available penalties as indicated in the glmnet and ncvreg packages. Instead of providing the whole regularization solution path, the function returns the solution at a unique value of λ, the one optimizing the criterion specified in tune.

● Data Source: CranContrib
● Keywords: models
● Alias: tune.fit
● 0 images

print.SIS (Package: SIS) : Print a SIS object

Print a summary of the selected predictors and its estimated coefficients.

● Data Source: CranContrib
● Keywords: models
● Alias: print.SIS
● 0 images

predict.SIS (Package: SIS) :

Similar to the usual predict methods, this function returns predictions from a fitted "SIS" object.

● Data Source: CranContrib
● Keywords: models
● Alias: predict.SIS
● 0 images

standardize (Package: SIS) : Standardization of High-Dimensional Design Matrices

Standardizes the columns of a high-dimensional design matrix to mean zero and unit Euclidean norm.

● Data Source: CranContrib
● Keywords: models
● Alias: standardize
● 0 images

SIS (Package: SIS) :

This function first implements the Iterative Sure Independence Screening for different variants of (I)SIS, and then fits the final regression model using the R packages ncvreg and glmnet for the SCAD/MCP/LASSO regularized loglikelihood for the variables picked by (I)SIS.

● Data Source: CranContrib
● Keywords: models
● Alias: SIS
● 0 images