Predictions from a fast AME fit — predict.ame

Returns predictions from an ame_als or lame_als fit: the fitted linear predictor on the link scale (type = "link") or the response scale (type = "response", the default).

Usage

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

Arguments

object: an ame_als object.
newdata: optional dyadic covariate array matching object$X ([n_row, n_col, p, T]); a matrix or 3D array is coerced.
type: "response" (default) or "link".
...: ignored.

Value

A matrix (cross-sectional) or list of matrices (longitudinal).

Details

With newdata = NULL the training-data fitted values are returned. Supplying newdata – a dyadic covariate array with the same actors and dimensions as the fitted design – substitutes the dyadic covariate contribution while holding the intercept, additive effects and multiplicative term fixed; it predicts counterfactual dyadic covariates for the same network, not out-of-sample actors.