View source: R/peperr_glmnet.R
PLL.coxnet | R Documentation |
Extracts the predictive partial log-likelihood from a glmnet Cox PH model fit.
## S3 method for class 'coxnet'
PLL(object, newdata, newtime, newstatus, complexity, ...)
object |
fitted model of class |
newdata |
|
newtime |
|
newstatus |
|
complexity |
lambda penalty value. |
... |
additional arguments, not used. |
Used by function peperr
, if function fit.glmnet
and family="cox"
is used for model fit, which gives a class coxnet
object.
This is basically a wrapper based on the coxnet.deviance
function from package glmnet
.
Vector of length n_new
Thomas Hielscher \ t.hielscher@dkfz.de
Sill M., Hielscher T., Becker N. and Zucknick M. (2014), c060: Extended Inference with Lasso and Elastic-Net Regularized Cox and Generalized Linear Models, Journal of Statistical Software, Volume 62(5), pages 1–22. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v062.i05")}
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