Definition of R6 Class 'networkSampling' — networkSampling • missSBM

this virtual class is the mother of all subtypes of networkSampling (either sampler or fit) It is used to define a sampling model for a network. It has a rSampling method which takes an adjacency matrix as an input and send back an object with class partlyObservedNetwork.

Active bindings

type: a character for the type of sampling
parameters: the vector of parameters associated with the sampling at play
df: the number of entries in the vector of parameters

Methods

`networkSampling$new()`

constructor for networkSampling

Usage

networkSampling$new(type = NA, parameters = NA)

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

`networkSampling$show()`

show method

Usage

networkSampling$show(
  type = paste0(private$name, "-model for network sampling\n")
)

Arguments

type: character used to specify the type of sampling

`networkSampling$print()`

User friendly print method

Usage

networkSampling$print()

`networkSampling$clone()`

The objects of this class are cloneable with this method.

Usage

networkSampling$clone(deep = FALSE)

Arguments

deep: Whether to make a deep clone.