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Creates Q-Q plots for random effects to assess normality assumptions.
plot_qq(object, which = NULL, ...)# S3 method for beezdemand_hurdle plot_qq(object, which = NULL, ...)# S3 method for beezdemand_nlme plot_qq(object, which = NULL, ...)
# S3 method for beezdemand_hurdle plot_qq(object, which = NULL, ...)
# S3 method for beezdemand_nlme plot_qq(object, which = NULL, ...)
A ggplot2 object.
A fitted model object with random effects (beezdemand_hurdle or beezdemand_nlme).
beezdemand_hurdle
beezdemand_nlme
Character vector; which random effects to plot. Default is all.
Additional arguments (ignored).
# \donttest{ data(apt) fit <- fit_demand_hurdle(apt, y_var = "y", x_var = "x", id_var = "id") plot_qq(fit) # }
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