Predict methods for network regression

# S3 method for class 'netlm'
predict(object, newdata = NULL, ...)

# S3 method for class 'netlogit'
predict(object, newdata = NULL, type = c("link", "response"), ...)

Arguments

object: An object of class inheriting "netlm" or "netlogit"
newdata: A design matrix with the same columns/variables as the fitted model.
...: Additional arguments (not used).
type: Character string, one of "response" (default, whether the returned predictions are on the probability scale) or "link" (returned predictions are on the scale of the linear predictor).

Value

A numeric vector of predicted values.

Examples

networkers <- ison_networkers |> to_subgraph(Discipline == "Sociology")
model1 <- net_regression(weight ~ ego(Citations) + alter(Citations) + sim(Citations),
                      networkers, times = 20)
# Should be run many more `times` for publication-ready results
predict(model1, matrix(c(1,10,5,2),1,4))
#> [1] 78.27843
networkers <- ison_networkers |> to_subgraph(Discipline == "Sociology") |> 
  to_unweighted()
model1 <- net_regression(. ~ ego(Citations) + alter(Citations) + sim(Citations),
                      networkers, times = 20)
# Should be run many more `times` for publication-ready results
predict(model1, matrix(c(1,10,5,2),1,4))
#> [1] 3.023694