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pred_resolution
argument,
which controls the number of prediction points used for numeric
predictors. The default is 101
(matching
visreg
), but higher values can be helpful for predictors
with a wide range or when visualizing nonlinear relationships.ci_type = NULL
to suppress confidence
intervals for numeric predictors.legend_title
argument.legend_title_size
argument.legend_horiz
argument.legend_args
argument, which allows passing any additional
parameters to legend()
(e.g., pt.cex
,
bg
, box.lwd
, inset
).legend_text_size
to
legend_label_size
for consistency with
legend_title_size
and legend_labels
. The
argument legend_text_size
is deprecated. Please use
legend_label_size
instead.plot_args
(e.g.,
cex.axis
, col.axis
, font.axis
)
when the predictor is a factor.lm()
, rlm()
, gls()
, and
nls()
models. For models with asymptotic inference (e.g.,
glm()
, mgcv::gam()
, glmer()
,
glmmTMB()
), confidence intervals are based on standard
normal approximations.by
is specified for
interactions, all prediction lines are now drawn on top of their
associated confidence intervals, ensuring they remain visible and are
not obscured by overlapping CI polygons.plogis()
for greater numerical stability, and the
cloglog inverse is now more robust to extreme values.point_col
) have a length mismatch with the cleaned
data used for predictions, helping users avoid misaligned plot
aesthetics when the original data contains missing values.by
and fix_values
arguments in a
multi-panel layout.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.