diff options
| author | Johannes Ranke <jranke@uni-bremen.de> | 2020-05-27 07:12:51 +0200 |
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2020-05-27 07:12:51 +0200 |
| commit | b5ee48a86e4b1d4c05aaadb80b44954e2e994ebc (patch) | |
| tree | aeeeaf623e4a6102b9ca2440cf0e32ff7a7a1d25 /docs/reference/confint.mkinfit.html | |
| parent | a77a10ea6c607346778ba0700b3b66ac393101a2 (diff) | |
Add docs generated using released version 0.9.52
Diffstat (limited to 'docs/reference/confint.mkinfit.html')
| -rw-r--r-- | docs/reference/confint.mkinfit.html | 78 |
1 files changed, 34 insertions, 44 deletions
diff --git a/docs/reference/confint.mkinfit.html b/docs/reference/confint.mkinfit.html index 0686c7bb..a9080c39 100644 --- a/docs/reference/confint.mkinfit.html +++ b/docs/reference/confint.mkinfit.html @@ -79,7 +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">0.9.50.3</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.50.2</span> </span> </div> @@ -116,9 +116,6 @@ method of Venzon and Moolgavkar (1988)." /> <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> - </li> </ul> </li> <li> @@ -171,8 +168,7 @@ method of Venzon and Moolgavkar (1988).</p> <span class='kw'>method</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"quadratic"</span>, <span class='st'>"profile"</span>), <span class='kw'>transformed</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>backtransform</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, - <span class='kw'>cores</span> <span class='kw'>=</span> <span class='kw pkg'>parallel</span><span class='kw ns'>::</span><span class='fu'><a href='https://rdrr.io/r/parallel/detectCores.html'>detectCores</a></span>(), - <span class='kw'>rel_tol</span> <span class='kw'>=</span> <span class='fl'>0.01</span>, + <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/Round.html'>round</a></span>(<span class='fu'>detectCores</span>()/<span class='fl'>2</span>), <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='no'>...</span> )</pre> @@ -228,12 +224,6 @@ their confidence intervals?</p></td> On Windows machines, cores > 1 is currently not supported.</p></td> </tr> <tr> - <th>rel_tol</th> - <td><p>If the method is 'profile', what should be the accuracy -of the lower and upper bounds, relative to the estimate obtained from -the quadratic method?</p></td> - </tr> - <tr> <th>quiet</th> <td><p>Should we suppress the message "Profiling the likelihood"</p></td> </tr> @@ -281,28 +271,28 @@ Profile-Likelihood Based Confidence Intervals, Applied Statistics, 37, <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'>#> user system elapsed -#> 3.689 0.991 3.361 </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> +#> 3.430 0.000 3.432 </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'>#> <span class='warning'>Warning: scheduled cores 2, 1, 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: length of 'dimnames' [2] not equal to array extent</span></div><div class='output co'>#> <span class='message'>Timing stopped at: 0.007 0.042 0.193</span></div><div class='input'><span class='no'>ci_profile</span></div><div class='output co'>#> 2.5% 97.5% + <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: length of 'dimnames' [2] not equal to array extent</span></div><div class='output co'>#> <span class='message'>Timing stopped at: 0.012 0.042 0.211</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 +#> parent_0 96.403839476 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 +#> parent_0 96.403839429 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 +#> f_parent_to_m1 0.469113364 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> @@ -314,7 +304,7 @@ Profile-Likelihood Based Confidence Intervals, Applied Statistics, 37, #> 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% +#> sigma FALSE TRUE</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 @@ -335,16 +325,16 @@ Profile-Likelihood Based Confidence Intervals, Applied Statistics, 37, #> 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 96.403839460 1.027931e+02 +#> parent_0 96.403839476 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_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 96.403839413 1.027931e+02 +#> parent_0 96.403839429 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 +#> f_parent_to_m1 0.469113364 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> @@ -356,17 +346,17 @@ Profile-Likelihood Based Confidence Intervals, Applied Statistics, 37, #> k_parent TRUE TRUE #> 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 0.0005408080 0.0002217794 +#> sigma FALSE TRUE</div><div class='input'><span class='no'>rel_diffs_transformed_ff</span></div><div class='output co'>#> 2.5% 97.5% +#> parent_0 0.0005408078 0.0002217796 #> 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 0.0005408085 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'> +#> k_m1 0.0307277372 0.0290579184 +#> f_parent_to_m1 0.0046884131 0.0027782558 +#> 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 0.0005408083 0.000221780 +#> k_parent 0.0046100096 0.002373023 +#> k_m1 0.0146746467 0.002530101 +#> f_parent_to_m1 0.0046997600 0.002346022 +#> sigma 0.0550252516 0.032706684</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> <span class='no'>m_synth_DFOP_par</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'>"DFOP"</span>, <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"M1"</span>, <span class='st'>"M2"</span>)), @@ -375,19 +365,19 @@ Profile-Likelihood Based Confidence Intervals, Applied Statistics, 37, <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'>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 94.59613833 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'># } + <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>)</div><div class='output co'>#> <span class='warning'>Warning: Optimisation did not converge:</span> +#> <span class='warning'>iteration limit reached without convergence (10)</span></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 95.654015524 105.79279749 +#> k_M1 0.037723773 0.04447598 +#> k_M2 0.008586438 0.01078076 +#> f_parent_to_M1 0.230403596 0.61953014 +#> f_parent_to_M2 0.162909765 0.38019017 +#> k1 0.275434628 0.33331386 +#> k2 0.018602188 0.02249211 +#> g 0.675149759 0.73520889 +#> sigma_low 0.251416929 0.84272023 +#> rsd_high 0.040371818 0.07666540</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 95.65402 105.7928</div><div class='input'># } </div></pre> </div> <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar"> |