Description Usage Arguments Value Examples

View source: R/user_function.R

Create a MLVSBM object from observed data

1 2 3 4 5 6 | ```
mlvsbm_create_network(
X,
A,
directed = NULL,
distribution = list("bernoulli", "bernoulli")
)
``` |

`X` |
A list of 2 squares binary matrices, the first one being the individual or lower level the second one being the organizational or upper level |

`A` |
A matrix the affiliation matrix with individuals in rows and organizations in columns |

`directed` |
A list of 2 boolean are the upper and lower level directed or not. Default will check if the matrix are symmetric or not. |

`distribution` |
A list for the distribution of X, only "bernoulli" is implemented |

An unfitted MLVSBM object corresponding to the multilevel network

1 2 3 4 5 6 7 8 | ```
ind_adj <- matrix(stats::rbinom(n = 10**2, size = 1, prob = .2),
nrow = 10, ncol = 10)
org_adj <- matrix(stats::rbinom(n = 10**2, size = 1, prob = .3),
nrow = 10, ncol = 10)
affiliation <- diag(1, 10)
my_mlvsbm <- mlvsbm_create_network(X = list(I = ind_adj, O = org_adj),
directed = list(I = FALSE, O = FALSE),
A = affiliation)
``` |

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