Calculate (or plot) cumulative effect for all time-points of the follow-up
get_cumu_eff(data, model, term, z1, z2 = NULL, se_mult = 2) gg_cumu_eff(data, model, term, z1, z2 = NULL, se_mult = 2, ci = TRUE)
Data used to fit the
A suitable model object which will be used to estimate the
partial effect of
A character string indicating the model term for which partial effects should be plotted.
The exposure profile for which to calculate the cumulative effect. Can be either a single number or a vector of same length as unique observation time points.
If provided, calculated cumulative effect is for the difference between the two exposure profiles (g(z1,t)-g(z2,t)).
Multiplicative factor used to calculate confidence intervals (e.g., lower = fit - 2*se).
Logical. Indicates if confidence intervals for the
of interest should be calculated/plotted. Defaults to