NonSpatialLogLikelihood_or_gradient: NonSpatialLogLikelihood_or_gradient function

Description Usage Arguments Value References

View source: R/nonspatial_log_likelihood_and_derivatives.R

Description

A function to evaluate the log-likelihood of a non-spatial parametric proportional hazards model. Not intended for general use.

Usage

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NonSpatialLogLikelihood_or_gradient(surv, X, beta, omega, control,
  loglikelihood, gradient)

Arguments

surv

an object of class Surv

X

the design matrix, containing covariate information

beta

parameter beta

omega

parameter omega

control

a list containg various control parameters for the MCMC and post-processing routines

loglikelihood

logical whether to evaluate the log-likelihood

gradient

logical whether to evaluate the gradient

Value

...

References

  1. Benjamin M. Taylor. Auxiliary Variable Markov Chain Monte Carlo for Spatial Survival and Geostatistical Models. Benjamin M. Taylor. Submitted. http://arxiv.org/abs/1501.01665


bentaylor1/spatsurv documentation built on May 11, 2017, 7:14 a.m.