R: compute deviance for cox model output

coxnet.deviance {glmnet} | R Documentation

## compute deviance for cox model output

### Description

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

### Usage

    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`

### Details

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

### Value

a single or vector of deviances

### Author(s)

Trevor Hastie
Maintainer: Trevor Hastie hastie@stanford.edu

### See Also

`coxgrad`

[Package glmnet version 4.0-2 Index]