blockmod: Block Model
In SBMSplitMerge: Inference for a Generalised SBM with a Split Merge Sampler

Description Usage Arguments Details Value See Also

create a blockmod object

1	blockmod(fixkappa, logd, dcond, r, ...)

`fixkappa`	Logical - is kappa fixed or can it vary under the model?
`logd`	`function(blocks)` - log density for `blocks`
`dcond`	`function(blocks, i)` - conditional density for the block assignment `i` in `blocks`
`r`	`function(n), sorted=FALSE` - samples a blocks object from the model
`...`	parameters of the model for use in `r`, `logd`, `dcond`

A block model is a probability model for a blocks object. This class creates a closure with three functions: - a random method for sampling block a structure from the model with n nodes; a - a log-density method for computing the log-density of a given block structure in a blocks object - a conditional density function that takes a blocks object and a node i

a blockmod object

multinom dma crp blocks

SBMSplitMerge documentation built on July 1, 2020, 5:23 p.m.