mean_degparms

Calculate mean degradation parameters for an mmkin row object

Calculation routines based on the FOCUS Kinetics Report (2006,
2014). Includes a function for conveniently defining differential equation
models, model solution based on eigenvalues if possible or using numerical
solvers. If a C compiler (on windows: 'Rtools') is installed, differential
equation models are solved using automatically generated C functions.
Heteroscedasticity can be taken into account using variance by variable or
two-component error models as described by Ranke and Meinecke (2018)
<doi:10.3390/environments6120124>. Hierarchical degradation models can
be fitted using nonlinear mixed-effects model packages as a back end as
described by Ranke et al. (2021) <doi:10.3390/environments8080071>. Please
note that no warranty is implied for correctness of results or fitness for a
particular purpose.

Johannes Ranke

mkin

Kinetic Evaluation of Chemical Degradation Data

Katrin Lindenberger

René Lehmann

Eurofins Regulatory AG 

mean_degparms function

<dl><dt>object</dt>
<dd>An mmkin row object containing several fits of the same model to different datasets</dd>
<dt>random</dt>
<dd>Should a list with fixed and random effects be returned?</dd>
<dt>test_log_parms</dt>
<dd>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.</dd>
<dt>conf.level</dt>
<dd>Possibility to adjust the required confidence level
for parameter that are tested if requested by 'test_log_parms'.</dd>
<dt>default_log_parms</dt>
<dd>If set to a numeric value, this is used
as a default value for the tested log parameters that failed the
t-test.</dd></dl>

Arguments

Calculate mean degradation parameters for an mmkin row object — mean_degparms

<dl>

<dt>object</dt>
<dd>An mmkin row object containing several fits of the same model to different datasets</dd>


<dt>random</dt>
<dd>Should a list with fixed and random effects be returned?</dd>


<dt>test_log_parms</dt>
<dd>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.</dd>


<dt>conf.level</dt>
<dd>Possibility to adjust the required confidence level
for parameter that are tested if requested by 'test_log_parms'.</dd>


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

</dl>

mean_degparms: Calculate mean degradation parameters for an mmkin row object

Description

Usage

Value

Arguments