covarNodeSampling_fit: Class for fitting a node-centered sampling with covariate

In jchiquet/missSBM: Handling Missing Data in Stochastic Block Models

Class for fitting a node-centered sampling with covariate

Description

Class for fitting a node-centered sampling with covariate

Class for fitting a node-centered sampling with covariate

Super classes

missSBM::networkSampling -> missSBM::networkSamplingNodes_fit -> covarNodeSampling_fit

Active bindings

vExpec

variational expectation of the sampling

Methods

Public methods

• covarNodeSampling_fit$new()

• covarNodeSampling_fit$clone()

Inherited methods

• missSBM::networkSampling$print()
• missSBM::networkSamplingNodes_fit$show()
• missSBM::networkSamplingNodes_fit$update_imputation()
• missSBM::networkSamplingNodes_fit$update_parameters()

---

Method new()

constructor

Usage

covarNodeSampling_fit$new(partlyObservedNetwork, ...)

Arguments

partlyObservedNetwork

a object with class partlyObservedNetwork representing the observed data with possibly missing entries

...

used for compatibility

---

Method clone()

The objects of this class are cloneable with this method.

Usage

covarNodeSampling_fit$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

jchiquet/missSBM documentation built on Oct. 25, 2023, 5:30 a.m.