- ...
regression model(s). You may also include arguments to be passed
to tidy().
- ci_level
The desired width of confidence intervals for the
coefficients. Default: 0.95
- model.names
If plotting multiple models simultaneously, you can
provide a vector of names here. If NULL, they will be named sequentially
as "Model 1", "Model 2", and so on. Default: NULL
- coefs
If you'd like to include only certain coefficients, provide
them as a vector. If it is a named vector, then the names will be used
in place of the variable names. See details for examples. Default: NULL
- omit.coefs
If you'd like to specify some coefficients to not include
in the plot, provide them as a vector. This argument is overridden by
coefs if both are provided. By default, the intercept term is omitted.
To include the intercept term, just set omit.coefs to NULL.
- inner_ci_level
Plot a thicker line representing some narrower span
than ci_level. Default is NULL, but good options are .9, .8, or .5.
- colors
See jtools_colors for more on your color options.
Default: 'CUD Bright'
- plot.distributions
Instead of just plotting the ranges, you may
plot normal distributions representing the width of each estimate. Note
that these are completely theoretical and not based on a bootstrapping
or MCMC procedure, even if the source model was fit that way. Default is
FALSE.
- rescale.distributions
If plot.distributions is TRUE, the default
behavior is to plot each normal density curve on the same scale. If some
of the uncertainty intervals are much wider/narrower than others, that
means the wide ones will have such a low height that you won't be able
to see the curve. If you set this parameter to TRUE, each curve will
have the same maximum height regardless of their width.
- exp
If TRUE, all coefficients are exponentiated (e.g., transforms
logit coefficents from log odds scale to odds). The reference line is
also moved to 1 instead of 0.
- point.shape
When using multiple models, should each model's point
estimates use a different point shape to visually differentiate each
model from the others? Default is TRUE. You may also pass a vector of
shapes to specify shapes yourself.
- point.size
Change the size of the points. Default is 3.
- legend.title
What should the title for the legend be? Default is
"Model", but you can specify it here since it is rather difficult to
change later via ggplot2's typical methods.
- groups
If you would like to have facets (i.e., separate panes) for
different groups of coefficients, you can specify those groups with a
list here. See details for more on how to do this.
- facet.rows
The number of rows in the facet grid (the nrow argument
to ggplot2::facet_wrap()).
- facet.cols
The number of columns in the facet grid (the nrow
argument to ggplot2::facet_wrap()).
- facet.label.pos
Where to put the facet labels. One of "top" (the
default), "bottom", "left", or "right".
- color.class
Deprecated. Now known as colors.
- resp
For any models that are brmsfit and have multiple response
variables, specify them with a vector here. If the model list includes
other types of models, you do not need to enter resp for those models.
For instance, if I want to plot a lm object and two brmsfit objects,
you only need to provide a vector of length 2 for resp.
- dpar
For any models that are brmsfit and have a distributional
dependent variable, that can be specified here. If NULL, it is assumed you
want coefficients for the location/mean parameter, not the distributional
parameter(s).