networkSampling function

Definition of R6 Class 'networkSampling'

Definition of R6 Class 'networkSampling'

Definition of R6 Class 'networkSampling'

Details

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

Public methods

• list("networkSampling$new()")

• list("networkSampling$show()")

• list("networkSampling$print()")

• list("networkSampling$clone()")

Method 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

Method 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

Method print()

User friendly print method

Usage

networkSampling$print()

Method clone()

The objects of this class are cloneable with this method.

Usage

networkSampling$clone(deep = FALSE)

Arguments

• deep: Whether to make a deep clone.