predict: Predict methods for network regression

In migraph: Inferential Methods for Multimodal and Other Networks

Predict methods for network regression

Description

Predict methods for network regression

Usage

## 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)
predict(model1, matrix(c(1,10,5,2),1,4))
networkers <- ison_networkers %>% to_subgraph(Discipline == "Sociology") %>% 
  to_unweighted()
model1 <- net_regression(. ~ ego(Citations) + alter(Citations) + sim(Citations), 
                      networkers, times = 20)
predict(model1, matrix(c(1,10,5,2),1,4))

migraph documentation built on Feb. 19, 2026, 9:06 a.m.