`R/cumulative-coefficient.R`

`cumulative_coefficient.Rd`

These functions are designed to extract (or mimic) the cumulative coefficients usually used in additive hazards models (Aalen model) to depict (time-varying) covariate effects. For PAMMs, these are the differences between the cumulative hazard rates where all covariates except one have the identical values. For a numeric covariate of interest, this calculates \(\Lambda(t|x+1) - \Lambda(t|x)\). For non-numeric covariates the cumulative hazard of the reference level is subtracted from the cumulative hazards evaluated at all non reference levels. Standard errors are calculated using the delta method.

```
get_cumu_coef(model, data = NULL, terms, ...)
# S3 method for gam
get_cumu_coef(model, data, terms, ...)
# S3 method for aalen
get_cumu_coef(model, data = NULL, terms, ci = TRUE, ...)
# S3 method for cox.aalen
get_cumu_coef(model, data = NULL, terms, ci = TRUE, ...)
```

- model
Object from which to extract cumulative coefficients.

- data
Additional data if necessary.

- terms
A character vector of variables for which the cumulative coefficient should be calculated.

- ...
Further arguments passed to methods.

- ci
Logical. Indicates if confidence intervals should be returned as well.