logPosterior_gridded: logPosterior_gridded function

In spatsurv: Bayesian Spatial Survival Analysis with Parametric Proportional Hazards Models

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
)

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 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.

spatsurv documentation built on Oct. 19, 2023, 9:07 a.m.