proposalVariance: proposalVariance function

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

proposalVariance function

Description

A function to compute an approximate scaling matrix for the MCMC algorithm. Not intended for general use.

Usage

proposalVariance(
  X,
  surv,
  betahat,
  omegahat,
  Yhat,
  priors,
  cov.model,
  u,
  control
)

Arguments

X	the design matrix, containing covariate information
surv	an object of class Surv
betahat	an estimate of beta
omegahat	an estimate of omega
Yhat	an estimate of Y
priors	the priors
cov.model	the spatial covariance model
u	a vector of pairwise distances
control	a list containg various control parameters for the MCMC and post-processing routines

Value

an estimate of eta and also an approximate scaling matrix for the MCMC

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