RMSLE: Computes the Root Mean Squared Logged Error
In gi0na/ghypernet: Fit and Simulate Generalised Hypergeometric Ensembles of Graphs
RMSLE R Documentation
Computes the Root Mean Squared Logged Error
Description
Computes the Root Mean Squared Logged Error
Usage
RMSLE(model, adj, null = FALSE)
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
data('highschool.predictors')
highschool.m <- nrm(w=highschool.predictors[1], adj=contacts.adj, directed=FALSE, selfloops=FALSE)
RMSLE(highschool.m, contacts.adj)
gi0na/ghypernet documentation built on April 13, 2024, 2:33 a.m.
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| RMSLE | R Documentation |
Computes the Root Mean Squared Logged Error
Description
Computes the Root Mean Squared Logged Error
Usage
RMSLE(model, adj, null = FALSE)
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
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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