predict.hierNet.logistic: Prediction function for hierNet.logistic.

Description Usage Arguments Value Author(s) References See Also Examples

View source: R/funcs.R

Description

A function to perform prediction, using an x matrix and the output of the "hierNet.logistic" function or "hierNet.logistic.path".

Usage

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## S3 method for class 'hierNet.logistic'
predict(object, newx, newzz=NULL,...)

Arguments

object

The results of a call to the "hierNet.logistic" or "hierNet.logistic.path" or function. The coefficients that are part of this object will be used for making predictions.

newx

The new x at which predictions should be made. Can be a vector or a matrix (one observation per row).

newzz

Optional matrix of products of columns of newx, computed by compute.interactions.c

...

additional arguments (not currently used)

Value

yhat

Matrix of predictions (probabilities), one row per observation

Author(s)

Jacob Bien and Robert Tibshirani

References

Bien, J., Taylor, J., Tibshirani, R., (2013) "A Lasso for Hierarchical Interactions." Annals of Statistics. 41(3). 1111-1141.

See Also

hierNet.logistic, hierNet.logistic.path

Examples

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set.seed(12)
x=matrix(rnorm(100*10),ncol=10)
x=scale(x,TRUE,TRUE)
y=x[,1]+2*x[,2]+ x[,1]*x[,2]+3*rnorm(100)
y=1*(y>0)
newx=matrix(rnorm(100*10),ncol=10)
fit=hierNet.logistic(x,y,lam=5)
yhat=predict(fit,newx)

fit=hierNet.logistic.path(x,y)
yhat=predict(fit,newx)

hierNet documentation built on March 18, 2018, 5:31 p.m.