RMSLE: Computes the Root Mean Squared Logged Error
In ghypernet: Fit and Simulate Generalised Hypergeometric Ensembles of Graphs
Description
Usage
Arguments
Value
Examples
Description
Computes the Root Mean Squared Logged 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 logged 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)
RMSLE(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 Logged 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 logged 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)
RMSLE(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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