summary {crisp} | R Documentation |
Summarizes Fit from crisp
or crispCV
.
Description
This function summarizes fit of the class crispCV
or crisp
.
Usage
## S3 method for class 'crisp'
summary(object, lambda.index = NULL, ...)
## S3 method for class 'crispCV'
summary(object, ...)
Arguments
object |
An object of class |
lambda.index |
The index for the desired value of lambda, i.e., |
... |
Additional arguments to be passed, which are ignored in this function. |
Value
None.
Examples
## Not run:
#See ?'crisp-package' for a full example of how to use this package
#generate data (using a very small 'n' for illustration purposes)
set.seed(1)
data <- sim.data(n = 15, scenario = 2)
#fit model for a range of tuning parameters, i.e., lambda values
#lambda sequence is chosen automatically if not specified
crisp.out <- crisp(X = data$X, y = data$y)
#or fit model and select lambda using 2-fold cross-validation
#note: use larger 'n.fold' (e.g., 10) in practice
crispCV.out <- crispCV(X = data$X, y = data$y, n.fold = 2)
#summarize all of the fits
summary(crisp.out)
#or just summarize a single fit
#we examine the fit with an index of 25. that is, lambda of
crisp.out$lambda.seq[25]
summary(crisp.out, lambda.index = 25)
#lastly, we can summarize the fit chosen using cross-validation
summary(crispCV.out)
## End(Not run)
[Package crisp version 1.0.0 Index]