estimate_vcergm: Estimate VCERGM coefficients
In jihuilee/VCERGM:

Estimate VCERGM coefficients

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estimate_vcergm(object, networks, attr = NULL, directed = c(TRUE,
  FALSE), lag = 0, degree.spline = 3, interior.knot = 10,
  lambda.range = seq(-3, 3, by = 0.1), constant = FALSE, Tol = 0.01)

`object`	A formula object of the form (network object) ~ <model terms>. Model terms take the same form of ERGM terms from R package 'ergm'.
`networks`	A list of observed networks. It should have a list() object.
`attr`	A list of vertex attributes. Default is NULL. (i.e. No attributes)
`directed`	TRUE for analyzing directed networks. FALSE for analyzing undirected networks.
`lag`	Lag in temporal networks. Default is 0 (i.e. VCERGM(0))
`degree.spline`	Degree of splines. Default is 3 (cubic splines).
`interior.knot`	Number of interior knots to create splines. Default is 10.
`lambda.range`	Range of lambda (Tuning parameter). Default is seq(-3, 3, by = 0.1).
`constant`	TRUE for constrained model of homogeneous VCERGM. FALSE for unconstrained model for heterogeneous VCERGM. Default is FALSE.
`Tol`	Tolerance level used for calculating MPLE (IRLS iterations). Default is 0.01.