lsm: Static Latent Space Model
In jason-morgan/dynnet: Latent Space Models for Static and Dynamic Networks

Description Usage Arguments Details Value Author(s)

Static latent space model for static networks.

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lsm(formula, d = 1, period = 1, ref = NULL, family = "bernoulli",
  start = start_random, method = "MLE", seed = NULL, verbose = TRUE,
  control = control.lsm())

`formula`	A `formula` object of the form `network ~ terms`, where `code` is a `dynnet` network object and `terms` are network terms to be included in the model.
`d`	Integer. Number of dimensions for the latent space.
`period`	Integer. Period to select from the network object.
`ref`	List. Reference vertex information. If `NULL`, then reference nodes will not be used for identification.
`family`	String specifying the model family. Only `bernoulli` is currently supported.
`start`	Function to use to get the starting values for the latent locations of each vertex.
`method`	String specifying the estimation method. Either `MLE` (maximum likelihood) or `MH` (a Metropolis Hastings algorithm).
`seed`	Random seed.
`verbose`	Boolean.
`control`	List of control parameters to be used for