logPosterior: logPosterior function

In bentaylor1/spatsurv: Bayesian Spatial Survival Analysis with Parametric Proportional Hazards Models

Description

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

Usage

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 12, 2019, 3:02 p.m.