dyadnoise-ergmConstraint-03418976: A soft constraint to adjust the sampled distribution for...
In ergm: Fit, Simulate and Diagnose Exponential-Family Models for Networks
dyadnoise-ergmConstraint R Documentation
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")}
ergm documentation built on Oct. 7, 2024, 5:08 p.m.
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| dyadnoise-ergmConstraint | R Documentation |
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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