mmsbm_fit | R Documentation |

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

`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 |

`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 |

Unclassed list with named components; see `Value`

of `mmsbm`

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.

Santiago Olivella (olivella@unc.edu), Adeline Lo (adelinel@princeton.edu), Tyler Pratt (tyler.pratt@yale.edu), Kosuke Imai (imai@harvard.edu)

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