`R/cumulative-effect.R`

, `R/viz-elra.R`

`get_cumu_eff.Rd`

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
Data used to fit the

`model`

.- model
A suitable model object which will be used to estimate the partial effect of

`term`

.- term
A character string indicating the model term for which partial effects should be plotted.

- z1
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.

- z2
If provided, calculated cumulative effect is for the difference between the two exposure profiles (g(z1,t)-g(z2,t)).

- se_mult
Multiplicative factor used to calculate confidence intervals (e.g., lower = fit - 2*se).

- ci
Logical. Indicates if confidence intervals for the

`term`

of interest should be calculated/plotted. Defaults to`TRUE`

.