Fit projective prediction survival model Get the cost and coefficients for projective prediction survival analysis.
1 2  | project_sel(dat, g, x_vars, time_var = "time", status_var = "status",
  method = "L1", p0 = 5, nv_max = 40, save_file, ...)
 | 
g | 
 additional data frame for bootstrapping  | 
x_vars | 
 vars to analysis  | 
time_var | 
 defults to time  | 
status_var | 
 defaults to status  | 
p0 | 
 prior guess for the number of relevant variables  | 
save_file | 
 should results be saved on file  | 
d_train | 
 dataframe  | 
ncores | 
 for parallel.  | 
alpha | 
 alpha for elastic net  | 
relaxed | 
 apply relaxed lasso set to TRUE  | 
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