lasso_sel: Fit elastic net selection survival model Get the cost and...
In csetraynor/predsurv: Build and compare diverse prediction survival models.

Fit elastic net selection survival model Get the cost and coefficients for elastic net survival analysis.

1 2	lasso_sel(d_train, g, x_vars, time_var = "time", status_var = "status", alpha = 1, relaxed = F, ncores, save_file)

`d_train`	dataframe
`g`	additional data frame for bootstrapping
`x_vars`	vars to analysis
`time_var`	defults to time
`status_var`	defaults to status
`alpha`	alpha for elastic net
`relaxed`	apply relaxed lasso set to TRUE
`ncores`	for parallel.
`save_file`	should results be saved on file
`correction`	correction to apply.