logPosterior: logPosterior function

Description Usage Arguments Value References

View source: R/log_posteriors_and_derivatives.R

Description

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

Usage

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logPosterior(surv, X, beta, omega, eta, gamma, priors, cov.model, u, control,
  gradient = FALSE, hessian = FALSE)

Arguments

surv

an object of class Surv

X

the design matrix, containing covariate information

beta

parameter beta

omega

parameter omega

eta

parameter eta

gamma

parameter gamma

priors

the priors, an object of class 'mcmcPriors'

cov.model

the spatial covariance model

u

vector of interpoint distances

control

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

gradient

logical whether to evaluate the gradient

hessian

logical whether to evaluate the Hessian

Value

evaluates the log-posterior and the gradient and hessian, if required.

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.