llhist

Produces a histogram of log-likelihoods. In addition, the likelihood of the
original fit is shown as a red vertical line.

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 

llhist function

<dl><dt>object</dt>
<dd>The multistart object</dd>
<dt>breaks</dt>
<dd>Passed to <a href="/link/hist?package=mkin&version=1.2.6" data-mini-rdoc="mkin::hist">hist</a></dd>
<dt>lpos</dt>
<dd>Positioning of the legend.</dd>
<dt>main</dt>
<dd>Title of the plot</dd>
<dt>...</dt>
<dd>Passed to <a href="/link/hist?package=mkin&version=1.2.6" data-mini-rdoc="mkin::hist">hist</a></dd></dl>

Arguments

Plot the distribution of log likelihoods from multistart objects — llhist

<dl>

<dt>object</dt>
<dd>The multistart object</dd>


<dt>breaks</dt>
<dd>Passed to <a href='https://rdrr.io/r/graphics/hist.html'>hist</a></dd>


<dt>lpos</dt>
<dd>Positioning of the legend.</dd>


<dt>main</dt>
<dd>Title of the plot</dd>


<dt>...</dt>
<dd>Passed to <a href='https://rdrr.io/r/graphics/hist.html'>hist</a></dd>

</dl>

llhist: Plot the distribution of log likelihoods from multistart objects

Description

Usage

Arguments

See Also