coxnet.deviance

0th

Percentile

compute deviance for cox model output

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

Keywords
model, Cox
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

See Also

coxgrad

Aliases
  • coxnet.deviance
Documentation reproduced from package glmnet, version 3.0-2, License: GPL-2

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