RMSE: Computes the Root Mean Squared Error
In ghypernet: Fit and Simulate Generalised Hypergeometric Ensembles of Graphs
Description
Usage
Arguments
Value
Examples
Description
Computes the Root Mean Squared Error
Usage
1
Arguments
model
nrm model estimate
adj
original adjacency matrix
null
logical, whether to compute using null model
Value
numeric, root mean squared error of residuals of nrm model fit
Examples
1
2
3
data('highschool.predictors')
highschool.m <- nrm(w=highschool.predictors[1], adj=contacts.adj, directed=FALSE, selfloops=FALSE)
RMSE(highschool.m, contacts.adj)
ghypernet documentation built on Oct. 15, 2021, 5:14 p.m.
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Description Usage Arguments Value Examples
Description
Computes the Root Mean Squared Error
Usage
1 |
Arguments
model |
nrm model estimate |
adj |
original adjacency matrix |
null |
logical, whether to compute using null model |
Value
numeric, root mean squared error of residuals of nrm model fit
Examples
1 2 3 | data('highschool.predictors')
highschool.m <- nrm(w=highschool.predictors[1], adj=contacts.adj, directed=FALSE, selfloops=FALSE)
RMSE(highschool.m, contacts.adj)
|
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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