mmsbm_fit: Fitter Function for dynamic MMSBM Model
In NetMix: Dynamic Mixed-Membership Network Regression Model

mmsbm_fit

R Documentation

Fitter Function for dynamic MMSBM Model

Description

This is the interface to the C++ fitter for the dynamic mixed-membership stochastic blockmodel for network regression.

Arguments

`z_t`	Numeric matrix; transpose of monadic design matrix. Should not include intercept row.
`x_t`	Numeric matrix; transpose of dyadic design matrix.
`y`	Numeric vector; vector of edge values. Must have same number of elements as `ncol(x_t)`
`time_id_dyad`	Integer vector; zero-based time-period identifier for each node.
`nodes_per_period`	Integer vector; total number of unique nodes observed in each time period.
`node_id_dyad`	Integer matrix; zero-based sender and receiver identifier per dyad.
`mu_b`	Numeric matrix; matrix of prior means for elements in blockmodel matrix.
`var_b`	Numeric matrix; matrix of prior variances for elements in blockmodel matrix.
`pi_init`	Numeric matrix; matrix of initial mixed-memberships. Nodes along columns.
`kappa_init_t`	Numeric matrix; matrix of initial marginal HMM state probabilities. Time-periods along columns.
`b_init_t`	Numeric matrix; square matrix of initial values of blockmodel.
`beta_init`	Numeric vector; flat array (column-major order) of initial values of monadic coefficients.
`gamma_init`	Numeric vector; vector of initial values of dyadic coefficients
`control`	List; see the `mmsbm.control` argument of `mmsbm`

Value

Unclassed list with named components; see Value of mmsbm

Warning

This function is for internal use only. End-users should always resort to mmsbm. In particular, that interface post-processes the return value of this internal in important ways.