llsmAR: Run Latent Space Model on Longitudinal Network Data with AR...
In SAcmu/LLSM: Package to Fit Longitudinal Latent Space Model

llsmAR runs and tunes MCMC sampler on the network data

1 2	llsmAR(Y, initialVals = NULL, priors = NULL, tune = NULL, tuneIn = TRUE, dd, niter, prTransformed = TRUE)

`Y`	list of sociomatrices for longitudinal network data
`initialVals`	List of initialization use default if NULL
`priors`	List of prior specification
`tune`	List of tuning parameters
`tuneIn`	Logical to indicate if tuning is required
`dd`	Dimension of the latent space positions
`niter`	Number of iterations for MCMC run
`prTransformed`	Logical to indicate if procrustes transformation is to be done during sampling of latent positions