blockNodeSampler: Class for defining a block node sampler

In missSBM: Handling Missing Data in Stochastic Block Models

Class for defining a block node sampler

Description

Class for defining a block node sampler

Super classes

networkSampling -> networkSampler -> nodeSampler -> blockNodeSampler

Methods

Public methods

• blockNodeSampler$new()

• blockNodeSampler$clone()

Inherited methods

• networkSampling$print()
• networkSampling$show()
• networkSampler$rSamplingMatrix()

---

blockNodeSampler$new()

constructor for networkSampling

Usage

blockNodeSampler$new(
  parameters = NA,
  nbNodes = NA,
  directed = FALSE,
  clusters = NA
)

Arguments

parameters

the vector of parameters associated to the sampling at play

nbNodes

number of nodes in the network

directed

logical, directed network of not

clusters

a vector of class memberships

---

blockNodeSampler$clone()

The objects of this class are cloneable with this method.

Usage

blockNodeSampler$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

missSBM documentation built on July 22, 2026, 1:07 a.m.