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
)

## Arguments

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.

## Value

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.