Model diagnostic plots
appraise(model, ...) # S3 method for gam appraise( model, method = c("direct", "simulate", "normal"), n_uniform = 10, n_simulate = 50, type = c("deviance", "pearson", "response"), n_bins = c("sturges", "scott", "fd"), ncol = 2, level = 0.9, ci_col = "black", ci_alpha = 0.2, point_col = "black", point_alpha = 1, line_col = "red", ... ) # S3 method for lm appraise(model, ...)
a fitted model. Currently only class
arguments passed to
character; method used to generate theoretical quantiles.
numeric; number of times to randomize uniform quantiles
in the direct computation method (
numeric; number of data sets to simulate from the estimated
model when using the simulation method (
character; type of residuals to use. Only
character or numeric; either the number of bins or a string indicating how to calculate the number of bins.
numeric; number of columns to draw plots in. See
numeric; the coverage level for QQ plot reference intervals.
Must be strictly
numeric; the level of alpha transparency for the
QQ plot reference interval when
colour and transparency used to draw points in
the plots. See
colour specification for the 1:1 line in the QQ plot and the reference line in the residuals vs linear predictor plot.