print.MSTweedie: Print the results of a MSTweedie object
In fontaine618/MSTweedie: Multi-source Sparse Tweedie Modelling

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

This function prints the number of variables included in the model and the value of the regularization parameter along the solution path.

1 2	## S3 method for class 'MSTweedie' print(x, digits = max(3, getOption("digits") - 3))

`x`	`MSTweedie` object.
`digits`	Number of significant digits in print display.

A two column matrix with nlambda rows containing the number of variables included in each model with the value of the regularization parameter.

Simon Fontaine, Yi Yang, Bo Fan, Wei Qian and Yuwen Gu.

Maintainer: Simon Fontaine fontaines@dms.umontreal.ca

Fontaine, S., Yang, Y., Fan, B., Qian, W. and Gu, Y. (2018). "A Unified Approach to Sparse Tweedie Model with Big Data Applications to Multi-Source Insurance Claim Data Analysis," to be submitted.

MSTweedie

# import package
library(MSTweedie)

# load data
data(AutoClaim)

# performs 10-folds CV with L1/Linf regularization
fit <- MSTweedie(x = AutoClaim, y=1, source=4, reg='Linf')

# prints number of selected variables along solution path
print.MSTweedie(fit)