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Diffstat (limited to 'docs/reference/confint.mkinfit.html')
| -rw-r--r-- | docs/reference/confint.mkinfit.html | 164 |
1 files changed, 94 insertions, 70 deletions
diff --git a/docs/reference/confint.mkinfit.html b/docs/reference/confint.mkinfit.html index 1dd6288b..7658a572 100644 --- a/docs/reference/confint.mkinfit.html +++ b/docs/reference/confint.mkinfit.html @@ -10,23 +10,27 @@ <!-- jquery --> -<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.3.1/jquery.min.js" integrity="sha256-FgpCb/KJQlLNfOu91ta32o/NMZxltwRo8QtmkMRdAu8=" crossorigin="anonymous"></script> +<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script> <!-- Bootstrap --> -<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.3.7/css/bootstrap.min.css" integrity="sha256-916EbMg70RQy9LHiGkXzG8hSg9EdNy97GazNG/aiY1w=" crossorigin="anonymous" /> +<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous" /> -<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha256-U5ZEeKfGNOja007MMD3YBI0A3OSZOQbeG6z2f2Y0hu8=" crossorigin="anonymous"></script> +<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script> + +<!-- bootstrap-toc --> +<link rel="stylesheet" href="../bootstrap-toc.css"> +<script src="../bootstrap-toc.js"></script> <!-- Font Awesome icons --> -<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.7.1/css/all.min.css" integrity="sha256-nAmazAk6vS34Xqo0BSrTb+abbtFlgsFK7NKSi6o7Y78=" crossorigin="anonymous" /> -<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.7.1/css/v4-shims.min.css" integrity="sha256-6qHlizsOWFskGlwVOKuns+D1nB6ssZrHQrNj1wGplHc=" crossorigin="anonymous" /> +<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous" /> +<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous" /> <!-- clipboard.js --> -<script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.4/clipboard.min.js" integrity="sha256-FiZwavyI2V6+EXO1U+xzLG3IKldpiTFf3153ea9zikQ=" crossorigin="anonymous"></script> +<script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script> <!-- headroom.js --> -<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.9.4/headroom.min.js" integrity="sha256-DJFC1kqIhelURkuza0AvYal5RxMtpzLjFhsnVIeuk+U=" crossorigin="anonymous"></script> -<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.9.4/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script> +<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script> +<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script> <!-- pkgdown --> <link href="../pkgdown.css" rel="stylesheet"> @@ -44,7 +48,6 @@ parameter. The 'profile' method uses two nested optimisations and can take a very long time, even if parallelized by specifying 'cores' on unixoid platforms. The speed of the method could likely be improved by using the method of Venzon and Moolgavkar (1988)." /> -<meta name="twitter:card" content="summary" /> @@ -62,7 +65,7 @@ method of Venzon and Moolgavkar (1988)." /> </head> - <body> + <body data-spy="scroll" data-target="#toc"> <div class="container template-reference-topic"> <header> <div class="navbar navbar-default navbar-fixed-top" role="navigation"> @@ -76,7 +79,7 @@ method of Venzon and Moolgavkar (1988)." /> </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">0.9.49.9</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.50.1</span> </span> </div> @@ -120,7 +123,12 @@ method of Venzon and Moolgavkar (1988)." /> </li> </ul> <ul class="nav navbar-nav navbar-right"> - + <li> + <a href="http://github.com/jranke/mkin/"> + <span class="fab fa fab fa-github fa-lg"></span> + + </a> +</li> </ul> </div><!--/.nav-collapse --> @@ -135,7 +143,7 @@ method of Venzon and Moolgavkar (1988)." /> <div class="col-md-9 contents"> <div class="page-header"> <h1>Confidence intervals for parameters of mkinfit objects</h1> - + <small class="dont-index">Source: <a href='http://github.com/jranke/mkin/blob/master/R/confint.mkinfit.R'><code>R/confint.mkinfit.R</code></a></small> <div class="hidden name"><code>confint.mkinfit.Rd</code></div> </div> @@ -212,7 +220,7 @@ their confidence intervals?</p></td> </tr> <tr> <th>cores</th> - <td><p>The number of cores to be used for multicore processing. + <td><p>The number of cores to be used for multicore processing. On Windows machines, cores > 1 is currently not supported.</p></td> </tr> <tr> @@ -228,15 +236,15 @@ On Windows machines, cores > 1 is currently not supported.</p></td> <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2> <p>A matrix with columns giving lower and upper confidence limits for - each parameter.</p> +each parameter.</p> <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2> <p>Bates DM and Watts GW (1988) Nonlinear regression analysis & its applications</p> <p>Pawitan Y (2013) In all likelihood - Statistical modelling and - inference using likelihood. Clarendon Press, Oxford.</p> +inference using likelihood. Clarendon Press, Oxford.</p> <p>Venzon DJ and Moolgavkar SH (1988) A Method for Computing - Profile-Likelihood Based Confidence Intervals, Applied Statistics, 37, - 87–94.</p> +Profile-Likelihood Based Confidence Intervals, Applied Statistics, 37, +87–94.</p> <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2> <pre class="examples"><div class='input'><span class='no'>f</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='st'>"SFO"</span>, <span class='no'>FOCUS_2006_C</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) @@ -262,50 +270,71 @@ On Windows machines, cores > 1 is currently not supported.</p></td> <span class='no'>SFO_SFO.ff</span> <span class='kw'><-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span>(<span class='kw'>parent</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"m1"</span>), <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>), <span class='kw'>use_of_ff</span> <span class='kw'>=</span> <span class='st'>"max"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) <span class='no'>f_d_1</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO</span>, <span class='fu'><a href='https://rdrr.io/r/base/subset.html'>subset</a></span>(<span class='no'>FOCUS_2006_D</span>, <span class='no'>value</span> <span class='kw'>!=</span> <span class='fl'>0</span>), <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) -<span class='fu'><a href='https://rdrr.io/r/base/system.time.html'>system.time</a></span>(<span class='no'>ci_profile</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_1</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"profile"</span>, <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>))</div><div class='output co'>#> <span class='error'>Error in mkinpredict.mkinmod(mkinmod, parms, odeini, outtimes, solution_type = solution_type, use_compiled = use_compiled, method.ode = method.ode, atol = atol, rtol = rtol, ...): Differential equations were not integrated for all output times because</span> -#> <span class='error'>NaN values occurred in output from ode()</span></div><div class='output co'>#> <span class='message'>Timing stopped at: 11.39 0 11.4</span></div><div class='input'><span class='co'># Using more cores does not save much time here, as parent_0 takes up most of the time</span> +<span class='fu'><a href='https://rdrr.io/r/base/system.time.html'>system.time</a></span>(<span class='no'>ci_profile</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_1</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"profile"</span>, <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>))</div><div class='output co'>#> User System verstrichen +#> 3.362 0.000 3.364 </div><div class='input'><span class='co'># Using more cores does not save much time here, as parent_0 takes up most of the time</span> <span class='co'># If we additionally exclude parent_0 (the confidence of which is often of</span> <span class='co'># minor interest), we get a nice performance improvement from about 50</span> <span class='co'># seconds to about 12 seconds if we use at least four cores</span> <span class='fu'><a href='https://rdrr.io/r/base/system.time.html'>system.time</a></span>(<span class='no'>ci_profile_no_parent_0</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_1</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"profile"</span>, - <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"k_parent_sink"</span>, <span class='st'>"k_parent_m1"</span>, <span class='st'>"k_m1_sink"</span>, <span class='st'>"sigma"</span>), <span class='kw'>cores</span> <span class='kw'>=</span> <span class='no'>n_cores</span>))</div><div class='output co'>#> <span class='message'>Profiling the likelihood</span></div><div class='output co'>#> User System verstrichen -#> 20.058 0.122 11.784 </div><div class='input'><span class='no'>ci_profile</span></div><div class='output co'>#> <span class='error'>Error in eval(expr, envir, enclos): Objekt 'ci_profile' nicht gefunden</span></div><div class='input'><span class='no'>ci_quadratic_transformed</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_1</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"quadratic"</span>) -<span class='no'>ci_quadratic_transformed</span></div><div class='output co'>#> 2.5% 97.5% -#> parent_0 96.403841641 1.027931e+02 -#> k_parent_sink 0.041033378 5.596269e-02 -#> k_parent_m1 0.046777902 5.511931e-02 -#> k_m1_sink 0.004012217 6.897547e-03 -#> sigma 2.396089689 3.854918e+00</div><div class='input'><span class='no'>ci_quadratic_untransformed</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_1</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"quadratic"</span>, <span class='kw'>transformed</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>) -<span class='no'>ci_quadratic_untransformed</span></div><div class='output co'>#> 2.5% 97.5% -#> parent_0 96.403841648 102.79312450 -#> k_parent_sink 0.040485331 0.05535491 -#> k_parent_m1 0.046611582 0.05494364 -#> k_m1_sink 0.003835483 0.00668582 -#> sigma 2.396089689 3.85491806</div><div class='input'><span class='co'># Against the expectation based on Bates and Watts (1988), the confidence</span> + <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"k_parent_sink"</span>, <span class='st'>"k_parent_m1"</span>, <span class='st'>"k_m1_sink"</span>, <span class='st'>"sigma"</span>), <span class='kw'>cores</span> <span class='kw'>=</span> <span class='no'>n_cores</span>))</div><div class='output co'>#> <span class='message'>Profiling the likelihood</span></div><div class='output co'>#> <span class='warning'>Warning: scheduled cores 1, 2, 3 encountered errors in user code, all values of the jobs will be affected</span></div><div class='output co'>#> <span class='error'>Error in dimnames(x) <- dn: Länge von 'dimnames' [2] ungleich der Arrayausdehnung</span></div><div class='output co'>#> <span class='message'>Timing stopped at: 0.011 0.045 0.201</span></div><div class='input'><span class='no'>ci_profile</span></div><div class='output co'>#> 2.5% 97.5% +#> parent_0 96.456003640 1.027703e+02 +#> k_parent 0.090911032 1.071578e-01 +#> k_m1 0.003892605 6.702778e-03 +#> f_parent_to_m1 0.471328495 5.611550e-01 +#> sigma 2.535612399 3.985263e+00</div><div class='input'><span class='no'>ci_quadratic_transformed</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_1</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"quadratic"</span>) +<span class='no'>ci_quadratic_transformed</span></div><div class='output co'>#> 2.5% 97.5% +#> parent_0 96.403839460 1.027931e+02 +#> k_parent 0.090823790 1.072543e-01 +#> k_m1 0.004012216 6.897547e-03 +#> f_parent_to_m1 0.469118713 5.595960e-01 +#> sigma 2.396089689 3.854918e+00</div><div class='input'><span class='no'>ci_quadratic_untransformed</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_1</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"quadratic"</span>, <span class='kw'>transformed</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>) +<span class='no'>ci_quadratic_untransformed</span></div><div class='output co'>#> 2.5% 97.5% +#> parent_0 96.403839413 1.027931e+02 +#> k_parent 0.090491931 1.069035e-01 +#> k_m1 0.003835483 6.685819e-03 +#> f_parent_to_m1 0.469113365 5.598386e-01 +#> sigma 2.396089689 3.854918e+00</div><div class='input'><span class='co'># Against the expectation based on Bates and Watts (1988), the confidence</span> <span class='co'># intervals based on the internal parameter transformation are less</span> <span class='co'># congruent with the likelihood based intervals. Note the superiority of the</span> <span class='co'># interval based on the untransformed fit for k_m1_sink</span> -<span class='no'>rel_diffs_transformed</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/base/MathFun.html'>abs</a></span>((<span class='no'>ci_quadratic_transformed</span> - <span class='no'>ci_profile</span>)/<span class='no'>ci_profile</span>)</div><div class='output co'>#> <span class='error'>Error in eval(expr, envir, enclos): Objekt 'ci_profile' nicht gefunden</span></div><div class='input'><span class='no'>rel_diffs_untransformed</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/base/MathFun.html'>abs</a></span>((<span class='no'>ci_quadratic_untransformed</span> - <span class='no'>ci_profile</span>)/<span class='no'>ci_profile</span>)</div><div class='output co'>#> <span class='error'>Error in eval(expr, envir, enclos): Objekt 'ci_profile' nicht gefunden</span></div><div class='input'><span class='no'>rel_diffs_transformed</span> <span class='kw'><</span> <span class='no'>rel_diffs_untransformed</span></div><div class='output co'>#> <span class='error'>Error in eval(expr, envir, enclos): Objekt 'rel_diffs_transformed' nicht gefunden</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/Round.html'>signif</a></span>(<span class='no'>rel_diffs_transformed</span>, <span class='fl'>3</span>)</div><div class='output co'>#> <span class='error'>Error in eval(expr, envir, enclos): Objekt 'rel_diffs_transformed' nicht gefunden</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/Round.html'>signif</a></span>(<span class='no'>rel_diffs_untransformed</span>, <span class='fl'>3</span>)</div><div class='output co'>#> <span class='error'>Error in eval(expr, envir, enclos): Objekt 'rel_diffs_untransformed' nicht gefunden</span></div><div class='input'> +<span class='no'>rel_diffs_transformed</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/base/MathFun.html'>abs</a></span>((<span class='no'>ci_quadratic_transformed</span> - <span class='no'>ci_profile</span>)/<span class='no'>ci_profile</span>) +<span class='no'>rel_diffs_untransformed</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/base/MathFun.html'>abs</a></span>((<span class='no'>ci_quadratic_untransformed</span> - <span class='no'>ci_profile</span>)/<span class='no'>ci_profile</span>) +<span class='no'>rel_diffs_transformed</span> <span class='kw'><</span> <span class='no'>rel_diffs_untransformed</span></div><div class='output co'>#> 2.5% 97.5% +#> parent_0 TRUE TRUE +#> k_parent TRUE TRUE +#> k_m1 FALSE FALSE +#> f_parent_to_m1 TRUE FALSE +#> sigma FALSE FALSE</div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/Round.html'>signif</a></span>(<span class='no'>rel_diffs_transformed</span>, <span class='fl'>3</span>)</div><div class='output co'>#> 2.5% 97.5% +#> parent_0 0.000541 0.000222 +#> k_parent 0.000960 0.000900 +#> k_m1 0.030700 0.029100 +#> f_parent_to_m1 0.004690 0.002780 +#> sigma 0.055000 0.032700</div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/Round.html'>signif</a></span>(<span class='no'>rel_diffs_untransformed</span>, <span class='fl'>3</span>)</div><div class='output co'>#> 2.5% 97.5% +#> parent_0 0.000541 0.000222 +#> k_parent 0.004610 0.002370 +#> k_m1 0.014700 0.002530 +#> f_parent_to_m1 0.004700 0.002350 +#> sigma 0.055000 0.032700</div><div class='input'> <span class='co'># Investigate a case with formation fractions</span> <span class='no'>f_d_2</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO.ff</span>, <span class='fu'><a href='https://rdrr.io/r/base/subset.html'>subset</a></span>(<span class='no'>FOCUS_2006_D</span>, <span class='no'>value</span> <span class='kw'>!=</span> <span class='fl'>0</span>), <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) <span class='no'>ci_profile_ff</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_2</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"profile"</span>, <span class='kw'>cores</span> <span class='kw'>=</span> <span class='no'>n_cores</span>)</div><div class='output co'>#> <span class='message'>Profiling the likelihood</span></div><div class='input'><span class='no'>ci_profile_ff</span></div><div class='output co'>#> 2.5% 97.5% -#> parent_0 96.456003650 1.027703e+02 +#> parent_0 96.456003640 1.027703e+02 #> k_parent 0.090911032 1.071578e-01 #> k_m1 0.003892605 6.702778e-03 #> f_parent_to_m1 0.471328495 5.611550e-01 #> sigma 2.535612399 3.985263e+00</div><div class='input'><span class='no'>ci_quadratic_transformed_ff</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_2</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"quadratic"</span>) <span class='no'>ci_quadratic_transformed_ff</span></div><div class='output co'>#> 2.5% 97.5% -#> parent_0 96.403839992 1.027931e+02 +#> parent_0 96.403839460 1.027931e+02 #> k_parent 0.090823790 1.072543e-01 #> k_m1 0.004012216 6.897547e-03 -#> f_parent_to_m1 0.469118711 5.595960e-01 +#> f_parent_to_m1 0.469118713 5.595960e-01 #> sigma 2.396089689 3.854918e+00</div><div class='input'><span class='no'>ci_quadratic_untransformed_ff</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_2</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"quadratic"</span>, <span class='kw'>transformed</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>) <span class='no'>ci_quadratic_untransformed_ff</span></div><div class='output co'>#> 2.5% 97.5% -#> parent_0 96.403839944 1.027931e+02 +#> parent_0 96.403839413 1.027931e+02 #> k_parent 0.090491931 1.069035e-01 #> k_m1 0.003835483 6.685819e-03 -#> f_parent_to_m1 0.469113362 5.598386e-01 +#> f_parent_to_m1 0.469113365 5.598386e-01 #> sigma 2.396089689 3.854918e+00</div><div class='input'><span class='no'>rel_diffs_transformed_ff</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/base/MathFun.html'>abs</a></span>((<span class='no'>ci_quadratic_transformed_ff</span> - <span class='no'>ci_profile_ff</span>)/<span class='no'>ci_profile_ff</span>) <span class='no'>rel_diffs_untransformed_ff</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/base/MathFun.html'>abs</a></span>((<span class='no'>ci_quadratic_untransformed_ff</span> - <span class='no'>ci_profile_ff</span>)/<span class='no'>ci_profile_ff</span>) <span class='co'># While the confidence interval for the parent rate constant is closer to</span> @@ -318,15 +347,15 @@ On Windows machines, cores > 1 is currently not supported.</p></td> #> k_m1 FALSE FALSE #> f_parent_to_m1 TRUE FALSE #> sigma FALSE FALSE</div><div class='input'><span class='no'>rel_diffs_transformed_ff</span></div><div class='output co'>#> 2.5% 97.5% -#> parent_0 0.0005408026 0.0002217846 -#> k_parent 0.0009596414 0.0009003877 -#> k_m1 0.0307277403 0.0290579212 -#> f_parent_to_m1 0.0046884168 0.0027782604 +#> parent_0 0.0005408080 0.0002217794 +#> k_parent 0.0009596417 0.0009003876 +#> k_m1 0.0307277370 0.0290579182 +#> f_parent_to_m1 0.0046884130 0.0027782556 #> sigma 0.0550252516 0.0327066836</div><div class='input'><span class='no'>rel_diffs_untransformed_ff</span></div><div class='output co'>#> 2.5% 97.5% -#> parent_0 0.0005408031 0.0002217851 -#> k_parent 0.0046100089 0.0023730230 -#> k_m1 0.0146746442 0.0025300972 -#> f_parent_to_m1 0.0046997642 0.0023460268 +#> parent_0 0.0005408085 0.0002217799 +#> k_parent 0.0046100096 0.0023730229 +#> k_m1 0.0146746469 0.0025301011 +#> f_parent_to_m1 0.0046997599 0.0023460223 #> sigma 0.0550252516 0.0327066836</div><div class='input'> <span class='co'># The profiling for the following fit does not finish in a reasonable time,</span> <span class='co'># therefore we use the quadratic approximation</span> @@ -337,29 +366,24 @@ On Windows machines, cores > 1 is currently not supported.</p></td> <span class='no'>DFOP_par_c</span> <span class='kw'><-</span> <span class='no'>synthetic_data_for_UBA_2014</span><span class='kw'>[[</span><span class='fl'>12</span>]]$<span class='no'>data</span> <span class='no'>f_tc_2</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>m_synth_DFOP_par</span>, <span class='no'>DFOP_par_c</span>, <span class='kw'>error_model</span> <span class='kw'>=</span> <span class='st'>"tc"</span>, <span class='kw'>error_model_algorithm</span> <span class='kw'>=</span> <span class='st'>"direct"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) -<span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_tc_2</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"quadratic"</span>)</div><div class='output co'>#> 2.5% 97.5% -#> parent_0 94.596218141 106.19934683 -#> k_M1 0.037605440 0.04490756 -#> k_M2 0.008568747 0.01087674 -#> f_parent_to_M1 0.021466788 0.62023878 -#> f_parent_to_M2 0.015168650 0.37975352 -#> k1 0.273897581 0.33388066 -#> k2 0.018614556 0.02250379 -#> g 0.671943831 0.73583255 -#> sigma_low 0.251283700 0.83992071 -#> rsd_high 0.040411017 0.07662005</div><div class='input'><span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_tc_2</span>, <span class='st'>"parent_0"</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"quadratic"</span>)</div><div class='output co'>#> 2.5% 97.5% -#> parent_0 94.59622 106.1993</div><div class='input'># } +<span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_tc_2</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"quadratic"</span>)</div><div class='output co'>#> 2.5% 97.5% +#> parent_0 94.59613833 106.19939215 +#> k_M1 0.03760542 0.04490759 +#> k_M2 0.00856874 0.01087675 +#> f_parent_to_M1 0.02146166 0.62023888 +#> f_parent_to_M2 0.01516502 0.37975343 +#> k1 0.27389751 0.33388078 +#> k2 0.01861456 0.02250379 +#> g 0.67194349 0.73583256 +#> sigma_low 0.25128383 0.83992146 +#> rsd_high 0.04041100 0.07662001</div><div class='input'><span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_tc_2</span>, <span class='st'>"parent_0"</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"quadratic"</span>)</div><div class='output co'>#> 2.5% 97.5% +#> parent_0 94.59614 106.1994</div><div class='input'># } </div></pre> </div> - <div class="col-md-3 hidden-xs hidden-sm" id="sidebar"> - <h2>Contents</h2> - <ul class="nav nav-pills nav-stacked"> - <li><a href="#arguments">Arguments</a></li> - <li><a href="#value">Value</a></li> - <li><a href="#references">References</a></li> - <li><a href="#examples">Examples</a></li> - </ul> - + <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar"> + <nav id="toc" data-toggle="toc" class="sticky-top"> + <h2 data-toc-skip>Contents</h2> + </nav> </div> </div> @@ -370,7 +394,7 @@ On Windows machines, cores > 1 is currently not supported.</p></td> </div> <div class="pkgdown"> - <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.4.1.</p> + <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p> </div> </footer> |