Learn R Programming
spatsurv (version 2.0)

logPosterior_gridded: logPosterior_gridded function

Description

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

Usage

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

Value

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

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

References

  1. Benjamin M. Taylor and Barry S. Rowlingson (2017). spatsurv: An R Package for Bayesian Inference with Spatial Survival Models. Journal of Statistical Software, 77(4), 1-32, doi:10.18637/jss.v077.i04.