Computes the Root Mean Squared Logged Error
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)
#> [1] 1.39408