dyadSampler: Virtual class for all dyad-centered samplers

In missSBM: Handling Missing Data in Stochastic Block Models

Virtual class for all dyad-centered samplers

Description

Virtual class for all dyad-centered samplers

Super classes

networkSampling -> networkSampler -> dyadSampler

Methods

Public methods

• dyadSampler$new()

• dyadSampler$clone()

Inherited methods

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

---

dyadSampler$new()

constructor for networkSampling

Usage

dyadSampler$new(type = NA, parameters = NA, nbNodes = NA, directed = FALSE)

Arguments

type

character for the type of sampling. must be in ("dyad", "covar-dyad", "node", "covar-node", "block-node", "block-dyad", "double-standard", "degree")

parameters

the vector of parameters associated to the sampling at play

nbNodes

number of nodes in the network

directed

logical, directed network of not

---

dyadSampler$clone()

The objects of this class are cloneable with this method.

Usage

dyadSampler$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

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