nr.significance: Computes the significance of more complex model against a...
In ghypernet: Fit and Simulate Generalised Hypergeometric Ensembles of Graphs
Description
Usage
Arguments
Value
View source: R/nr.significance.R
Description
Computes the significance of more complex model against a simpler model by
means of a likelihood ratio test.
Usage
1
nr.significance(mod0 = NULL, mod1, adj = NULL)
Arguments
mod0
null nrm model (optional). defaults to the scm model.
mod1
alternative nrm model, the model to test
adj
adjacency matrix for which performing the test. (optional) defaults to the matrix used for mod1.
Value
p-value of the lr test mod0 vs mod1
ghypernet documentation built on Oct. 15, 2021, 5:14 p.m.
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Description Usage Arguments Value
View source: R/nr.significance.R
Description
Computes the significance of more complex model against a simpler model by means of a likelihood ratio test.
Usage
1 | nr.significance(mod0 = NULL, mod1, adj = NULL)
|
Arguments
mod0 |
null nrm model (optional). defaults to the scm model. |
mod1 |
alternative nrm model, the model to test |
adj |
adjacency matrix for which performing the test. (optional) defaults to the matrix used for |
Value
p-value of the lr test mod0 vs mod1
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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