compute deviance for cox model output

Given a fit or coefficients, compute the deciance (-2 log partial likelihood) for right-censored survival data

coxnet.deviance(pred = NULL, y, x = 0, offset = NULL,
  weights = NULL, beta = NULL)

Arguments

pred	matrix of predictions
y	a survival response matrix, as produced by `Surv`
x	optional `x` matrix, if `pred` is `NULL`
offset	optional offset
weights	optional observation weights
beta	optional coefficient vector/matrix, supplied if `pred=NULL`

a single or vector of deviances

coxnet.deviance computes the deviance for a single prediction, or a matrix of predictions