`R/mean_degparms.R`

`mean_degparms.Rd`

Calculate mean degradation parameters for an mmkin row object

```
mean_degparms(
object,
random = FALSE,
test_log_parms = FALSE,
conf.level = 0.6,
default_log_parms = NA
)
```

- object
An mmkin row object containing several fits of the same model to different datasets

- random
Should a list with fixed and random effects be returned?

- test_log_parms
If TRUE, log parameters are only considered in the mean calculations if their untransformed counterparts (most likely rate constants) pass the t-test for significant difference from zero.

- conf.level
Possibility to adjust the required confidence level for parameter that are tested if requested by 'test_log_parms'.

- default_log_parms
If set to a numeric value, this is used as a default value for the tested log parameters that failed the t-test.

If random is FALSE (default), a named vector containing mean values of the fitted degradation model parameters. If random is TRUE, a list with fixed and random effects, in the format required by the start argument of nlme for the case of a single grouping variable ds.