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