dyadnoise-ergmConstraint-03418976: A soft constraint to adjust the sampled distribution for...

In statnet/ergm: Fit, Simulate and Diagnose Exponential-Family Models for Networks

A soft constraint to adjust the sampled distribution for dyad-level noise with known perturbation probabilities

Description

It is assumed that the observed LHS network is a noisy observation of some unobserved true network, with p01 giving the dyadwise probability of erroneously observing a tie where the true network had a non-tie and p10 giving the dyadwise probability of erroneously observing a nontie where the true network had a tie.

Usage

# dyadnoise(p01, p10)

Arguments

p01, p10

can both be scalars or both be adjacency matrices of the same dimension as that of the LHS network giving these probabilities.

Note

See Karwa et al. (2016) for an application.

See Also

ergmConstraint for index of constraints and hints currently visible to the package.

\Sexpr[results=rd,stage=render]{ergm:::.formatTermKeywords("ergmConstraint", "dyadnoise", "subsection")}

statnet/ergm documentation built on April 17, 2024, 12:21 p.m.