gg_partial {pammtools} | R Documentation |
Visualize effect estimates for specific covariate combinations
Description
Depending on the plot function and input, creates either a 1-dimensional slices, bivariate surface or (1D) cumulative effect.
Usage
gg_partial(data, model, term, ..., reference = NULL, ci = TRUE)
gg_partial_ll(
data,
model,
term,
...,
reference = NULL,
ci = FALSE,
time_var = "tend"
)
get_partial_ll(
data,
model,
term,
...,
reference = NULL,
ci = FALSE,
time_var = "tend"
)
Arguments
data |
Data used to fit the |
model |
A suitable model object which will be used to estimate the
partial effect of |
term |
A character string indicating the model term for which partial effects should be plotted. |
... |
Covariate specifications (expressions) that will be evaluated
by looking for variables in |
reference |
If specified, should be a list with covariate value pairs,
e.g. |
ci |
Logical. Indicates if confidence intervals for the |
time_var |
The name of the variable that was used in |