View source: R/cumulative-effect.R
| get_cumu_eff | R Documentation | 
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 | 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. | 
| 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  | 
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