gg_partial {pammtools} | R Documentation |
Depending on the plot function and input, creates either a 1-dimensional slices, bivariate surface or (1D) cumulative effect.
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" )
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 |