Calculate mean degradation parameters for an mmkin row object

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

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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

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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.

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