gls), multivariate-linear,
generalized linear, multinomial-logit, proportional-odds logit,
mixed-effect, polytomous latent-class, and some other models; (multidimensional) component+residual plots for linear and generalized linear models.This package creates effect displays for various kinds of models, as partly explained in the references.
Typical usage is plot(allEffects(model)),
where model is an appropriate fitted-model object.
Additional arguments to allEffects and plot can be used to customize the resulting
displays. The function effect can be employed to produce an effect display for a
particular term in the model, or to which terms in the model are marginal. The function Effect
may similarly be used to produce an effect display for any combination of predictors. For linear and
generalized linear models it is also possible to plot partial residuals to obtain (multidimensional)
component+residual plots.
See ?effect, ?Effect, and ?plot.eff for details.