llsmRW: Function to run MCMC sampler for the LLSM-RW model

In SAcmu/LLSM: Package to Fit Longitudinal Latent Space Model

Description

llsmRW runs MCMC sampler for the LLSM-RW model.

Usage

llsmRW(Y, initialVals = NULL, priors = NULL, tune = NULL, tuneIn = TRUE,
  dd, niter)

Arguments

Y	A list of sociomatrix for observed networks
initialVals	A list of values for initializing the chain for intercept and ZZ. Default is set to NULL, when random initialization is used.
priors	A list of parameters for prior distribution specified as MuBeta, VarBeta, VarZ, A and B If set to NULL, default priors is used
tune	A list of tuning parameters. If set to NULL, default values are used.
tuneIn	Logical option to specify whether to auto tune the chain or not. Default is TRUE
dd	Dimension of the latent space
niter	Number of MCMC iterations to run

Details

llsmRW runs MCMC sampler for the LLSM-RW model and returns samples from the posteriors chains of the parameters, the posterior likelihood at the accpeted parameters, a list of acceptance rates from the metropolis hastings sampling, and a list of the tuning values if tuneIn is set to TRUE

SAcmu/LLSM documentation built on May 9, 2019, 11:06 a.m.