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Diffstat (limited to 'docs/reference/mean_degparms.html')
| -rw-r--r-- | docs/reference/mean_degparms.html | 41 |
1 files changed, 29 insertions, 12 deletions
diff --git a/docs/reference/mean_degparms.html b/docs/reference/mean_degparms.html index bea9f2d8..dedb8660 100644 --- a/docs/reference/mean_degparms.html +++ b/docs/reference/mean_degparms.html @@ -17,7 +17,7 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.1.0</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.2.0</span> </span> </div> @@ -44,19 +44,25 @@ <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a> </li> <li> - <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a> + <a href="../articles/web_only/multistart.html">Short demo of the multistart method</a> </li> <li> <a href="../articles/web_only/compiled_models.html">Performance benefit by using compiled model definitions in mkin</a> </li> <li> + <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a> + </li> + <li> <a href="../articles/twa.html">Calculation of time weighted average concentrations with mkin</a> </li> <li> <a href="../articles/web_only/NAFTA_examples.html">Example evaluation of NAFTA SOP Attachment examples</a> </li> <li> - <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a> + <a href="../articles/web_only/benchmarks.html">Benchmark timings for mkin</a> + </li> + <li> + <a href="../articles/web_only/saem_benchmarks.html">Benchmark timings for saem.mmkin</a> </li> </ul></li> <li> @@ -87,36 +93,47 @@ </div> <div id="ref-usage"> - <div class="sourceCode"><pre class="sourceCode r"><code><span class="fu">mean_degparms</span><span class="op">(</span> - <span class="va">object</span>, - random <span class="op">=</span> <span class="cn">FALSE</span>, - test_log_parms <span class="op">=</span> <span class="cn">FALSE</span>, - conf.level <span class="op">=</span> <span class="fl">0.6</span>, - default_log_parms <span class="op">=</span> <span class="cn">NA</span> -<span class="op">)</span></code></pre></div> + <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">mean_degparms</span><span class="op">(</span></span> +<span> <span class="va">object</span>,</span> +<span> random <span class="op">=</span> <span class="cn">FALSE</span>,</span> +<span> test_log_parms <span class="op">=</span> <span class="cn">FALSE</span>,</span> +<span> conf.level <span class="op">=</span> <span class="fl">0.6</span>,</span> +<span> default_log_parms <span class="op">=</span> <span class="cn">NA</span></span> +<span><span class="op">)</span></span></code></pre></div> </div> <div id="arguments"> <h2>Arguments</h2> <dl><dt>object</dt> <dd><p>An mmkin row object containing several fits of the same model to different datasets</p></dd> + + <dt>random</dt> <dd><p>Should a list with fixed and random effects be returned?</p></dd> + + <dt>test_log_parms</dt> <dd><p>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.</p></dd> + + <dt>conf.level</dt> <dd><p>Possibility to adjust the required confidence level for parameter that are tested if requested by 'test_log_parms'.</p></dd> + + <dt>default_log_parms</dt> <dd><p>If set to a numeric value, this is used as a default value for the tested log parameters that failed the t-test.</p></dd> + </dl></div> <div id="value"> <h2>Value</h2> - <p>If random is FALSE (default), a named vector containing mean values + + +<p>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.</p> @@ -134,7 +151,7 @@ nlme for the case of a single grouping variable ds.</p> </div> <div class="pkgdown"> - <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.3.</p> + <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p> </div> </footer></div> |