Computes the Root Mean Squared Logged Error — RMSLE • ghypernet

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