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glmnet (version 4.0-2)

coxnet.deviance: 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

Value

a single or vector of deviances

Details

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

See Also

coxgrad