diff options
| author | Johannes Ranke <jranke@uni-bremen.de> | 2019-05-02 13:17:05 +0200 |
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2019-05-02 13:17:05 +0200 |
| commit | 70591022c07f0e8fb4dd67789b7c8d78af8ebc18 (patch) | |
| tree | acaecfce5ae304cfc48b111c6db24a3f2ed5c83d /docs/reference/mkinfit.html | |
| parent | 380a29e81f88cd80c9c6915200ddc7054c8a085a (diff) | |
Better initials for error model parameters
- Also make it possible to specify initial values for error model
parameters.
- Run tests
- Rebuild docs
Diffstat (limited to 'docs/reference/mkinfit.html')
| -rw-r--r-- | docs/reference/mkinfit.html | 226 |
1 files changed, 117 insertions, 109 deletions
diff --git a/docs/reference/mkinfit.html b/docs/reference/mkinfit.html index d3a826b9..7693287e 100644 --- a/docs/reference/mkinfit.html +++ b/docs/reference/mkinfit.html @@ -151,6 +151,7 @@ Per default, parameters in the kinetic models are internally transformed in <pre class="usage"><span class='fu'>mkinfit</span>(<span class='no'>mkinmod</span>, <span class='no'>observed</span>, <span class='kw'>parms.ini</span> <span class='kw'>=</span> <span class='st'>"auto"</span>, <span class='kw'>state.ini</span> <span class='kw'>=</span> <span class='st'>"auto"</span>, + <span class='kw'>err.ini</span> <span class='kw'>=</span> <span class='st'>"auto"</span>, <span class='kw'>fixed_parms</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>fixed_initials</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/names'>names</a></span>(<span class='no'>mkinmod</span>$<span class='no'>diffs</span>)[-<span class='fl'>1</span>], <span class='kw'>from_max_mean</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>solution_type</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"auto"</span>, <span class='st'>"analytical"</span>, <span class='st'>"eigen"</span>, <span class='st'>"deSolve"</span>), @@ -210,6 +211,13 @@ Per default, parameters in the kinetic models are internally transformed in If this variable has no time zero observations, its initial value is set to 100.</p></td> </tr> <tr> + <th>err.ini</th> + <td><p>A named vector of initial values for the error model parameters to be + optimised. If set to "auto", initial values are set to default values. + Otherwise, inital values for all error model parameters must be + given.</p></td> + </tr> + <tr> <th>fixed_parms</th> <td><p>The names of parameters that should not be optimised but rather kept at the values specified in <code>parms.ini</code>.</p></td> @@ -353,19 +361,19 @@ Per default, parameters in the kinetic models are internally transformed in <pre class="examples"><div class='input'><span class='co'># Use shorthand notation for parent only degradation</span> <span class='no'>fit</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='st'>"FOMC"</span>, <span class='no'>FOCUS_2006_C</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>fit</span>)</div><div class='output co'>#> mkin version used for fitting: 0.9.49.4 -#> R version used for fitting: 3.5.3 -#> Date of fit: Wed Apr 10 10:10:01 2019 -#> Date of summary: Wed Apr 10 10:10:01 2019 +#> R version used for fitting: 3.6.0 +#> Date of fit: Thu May 2 12:38:56 2019 +#> Date of summary: Thu May 2 12:38:56 2019 #> #> Equations: #> d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent #> #> Model predictions using solution type analytical #> -#> Fitted with method using 221 model solutions performed in 0.508 s +#> Fitted using 221 model solutions performed in 0.455 s #> #> Error model: -#> NULL +#> Constant variance #> #> Starting values for parameters to be optimised: #> value type @@ -393,10 +401,10 @@ Per default, parameters in the kinetic models are internally transformed in #> #> Parameter correlation: #> parent_0 log_alpha log_beta sigma -#> parent_0 1.000e+00 -1.565e-01 -3.142e-01 -1.313e-07 -#> log_alpha -1.565e-01 1.000e+00 9.564e-01 -2.634e-07 -#> log_beta -3.142e-01 9.564e-01 1.000e+00 -2.200e-07 -#> sigma -1.313e-07 -2.634e-07 -2.200e-07 1.000e+00 +#> parent_0 1.000e+00 -1.565e-01 -3.142e-01 -1.317e-07 +#> log_alpha -1.565e-01 1.000e+00 9.564e-01 -2.640e-07 +#> log_beta -3.142e-01 9.564e-01 1.000e+00 -2.205e-07 +#> sigma -1.317e-07 -2.640e-07 -2.205e-07 1.000e+00 #> #> Backtransformed parameters: #> Confidence intervals for internally transformed parameters are asymmetric. @@ -408,7 +416,7 @@ Per default, parameters in the kinetic models are internally transformed in #> beta 1.917 4.373 3.601e-03 1.0650 3.451 #> sigma 1.857 4.243 4.074e-03 0.7320 2.983 #> -#> Chi2 error levels in percent: +#> FOCUS Chi2 error levels in percent: #> err.min n.optim df #> All data 6.657 3 6 #> parent 6.657 3 6 @@ -435,7 +443,7 @@ Per default, parameters in the kinetic models are internally transformed in <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>))</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'><span class='co'># Fit the model to the FOCUS example dataset D using defaults</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/system.time'>system.time</a></span>(<span class='no'>fit</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFO_SFO</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>solution_type</span> <span class='kw'>=</span> <span class='st'>"eigen"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)))</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='output co'>#> User System verstrichen -#> 1.653 0.000 1.653 </div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/coef'>coef</a></span>(<span class='no'>fit</span>)</div><div class='output co'>#> NULL</div><div class='input'><span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>fit</span>)</div><div class='output co'>#> $ff +#> 1.551 0.000 1.552 </div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/coef'>coef</a></span>(<span class='no'>fit</span>)</div><div class='output co'>#> NULL</div><div class='input'><span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>fit</span>)</div><div class='output co'>#> $ff #> parent_sink parent_m1 m1_sink #> 0.485524 0.514476 1.000000 #> @@ -448,71 +456,71 @@ Per default, parameters in the kinetic models are internally transformed in #> m1 131.760715 437.69962 #> </div><div class='input'><span class='co'># deSolve is slower when no C compiler (gcc) was available during model generation</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/print'>print</a></span>(<span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/system.time'>system.time</a></span>(<span class='no'>fit.deSolve</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFO_SFO</span>, <span class='no'>FOCUS_2006_D</span>, - <span class='kw'>solution_type</span> <span class='kw'>=</span> <span class='st'>"deSolve"</span>)))</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='output co'>#> Negative log-likelihood at call 1: 18915.53 -#> Negative log-likelihood at call 2: 18915.53 -#> Negative log-likelihood at call 6: 11424.02 -#> Negative log-likelihood at call 10: 11424 -#> Negative log-likelihood at call 13: 2367.052 -#> Negative log-likelihood at call 14: 2367.05 -#> Negative log-likelihood at call 19: 1314.716 -#> Negative log-likelihood at call 22: 1314.714 -#> Negative log-likelihood at call 25: 991.8311 -#> Negative log-likelihood at call 28: 991.8305 -#> Negative log-likelihood at call 30: 893.6462 -#> Negative log-likelihood at call 33: 893.6457 -#> Negative log-likelihood at call 35: 569.4049 -#> Negative log-likelihood at call 38: 569.4047 -#> Negative log-likelihood at call 40: 565.0651 -#> Negative log-likelihood at call 41: 565.065 -#> Negative log-likelihood at call 42: 565.0637 -#> Negative log-likelihood at call 45: 428.0188 -#> Negative log-likelihood at call 46: 428.0185 -#> Negative log-likelihood at call 50: 406.732 -#> Negative log-likelihood at call 52: 406.732 -#> Negative log-likelihood at call 55: 398.9115 -#> Negative log-likelihood at call 57: 398.9113 -#> Negative log-likelihood at call 60: 394.5943 -#> Negative log-likelihood at call 62: 394.5943 -#> Negative log-likelihood at call 66: 385.26 -#> Negative log-likelihood at call 67: 385.2599 -#> Negative log-likelihood at call 69: 385.2599 -#> Negative log-likelihood at call 70: 385.2597 -#> Negative log-likelihood at call 71: 374.7604 -#> Negative log-likelihood at call 72: 374.7603 -#> Negative log-likelihood at call 76: 373.199 -#> Negative log-likelihood at call 79: 373.199 -#> Negative log-likelihood at call 80: 373.199 -#> Negative log-likelihood at call 81: 372.3772 -#> Negative log-likelihood at call 84: 372.3772 -#> Negative log-likelihood at call 86: 371.2615 -#> Negative log-likelihood at call 89: 371.2615 -#> Negative log-likelihood at call 90: 371.2615 -#> Negative log-likelihood at call 92: 371.2439 -#> Negative log-likelihood at call 93: 371.2439 -#> Negative log-likelihood at call 94: 371.2439 -#> Negative log-likelihood at call 97: 371.2198 -#> Negative log-likelihood at call 98: 371.2198 -#> Negative log-likelihood at call 102: 371.2174 -#> Negative log-likelihood at call 104: 371.2174 -#> Negative log-likelihood at call 107: 371.2147 -#> Negative log-likelihood at call 110: 371.2147 -#> Negative log-likelihood at call 111: 371.2147 -#> Negative log-likelihood at call 112: 371.2145 -#> Negative log-likelihood at call 113: 371.2145 -#> Negative log-likelihood at call 116: 371.2145 -#> Negative log-likelihood at call 119: 371.2135 -#> Negative log-likelihood at call 121: 371.2135 -#> Negative log-likelihood at call 124: 371.2135 -#> Negative log-likelihood at call 126: 371.2135 -#> Negative log-likelihood at call 127: 371.2135 -#> Negative log-likelihood at call 133: 371.2134 -#> Negative log-likelihood at call 135: 371.2134 -#> Negative log-likelihood at call 138: 371.2134 -#> Negative log-likelihood at call 142: 371.2134 + <span class='kw'>solution_type</span> <span class='kw'>=</span> <span class='st'>"deSolve"</span>)))</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='output co'>#> Sum of squared residuals at call 1: 18915.53 +#> Sum of squared residuals at call 2: 18915.53 +#> Sum of squared residuals at call 6: 11424.02 +#> Sum of squared residuals at call 10: 11424 +#> Sum of squared residuals at call 13: 2367.052 +#> Sum of squared residuals at call 14: 2367.05 +#> Sum of squared residuals at call 19: 1314.716 +#> Sum of squared residuals at call 22: 1314.714 +#> Sum of squared residuals at call 25: 991.8311 +#> Sum of squared residuals at call 28: 991.8305 +#> Sum of squared residuals at call 30: 893.6462 +#> Sum of squared residuals at call 33: 893.6457 +#> Sum of squared residuals at call 35: 569.4049 +#> Sum of squared residuals at call 38: 569.4047 +#> Sum of squared residuals at call 40: 565.0651 +#> Sum of squared residuals at call 41: 565.065 +#> Sum of squared residuals at call 42: 565.0637 +#> Sum of squared residuals at call 45: 428.0188 +#> Sum of squared residuals at call 46: 428.0185 +#> Sum of squared residuals at call 50: 406.732 +#> Sum of squared residuals at call 52: 406.732 +#> Sum of squared residuals at call 55: 398.9115 +#> Sum of squared residuals at call 57: 398.9113 +#> Sum of squared residuals at call 60: 394.5943 +#> Sum of squared residuals at call 62: 394.5943 +#> Sum of squared residuals at call 66: 385.26 +#> Sum of squared residuals at call 67: 385.2599 +#> Sum of squared residuals at call 69: 385.2599 +#> Sum of squared residuals at call 70: 385.2597 +#> Sum of squared residuals at call 71: 374.7604 +#> Sum of squared residuals at call 72: 374.7603 +#> Sum of squared residuals at call 76: 373.199 +#> Sum of squared residuals at call 79: 373.199 +#> Sum of squared residuals at call 80: 373.199 +#> Sum of squared residuals at call 81: 372.3772 +#> Sum of squared residuals at call 84: 372.3772 +#> Sum of squared residuals at call 86: 371.2615 +#> Sum of squared residuals at call 89: 371.2615 +#> Sum of squared residuals at call 90: 371.2615 +#> Sum of squared residuals at call 92: 371.2439 +#> Sum of squared residuals at call 93: 371.2439 +#> Sum of squared residuals at call 94: 371.2439 +#> Sum of squared residuals at call 97: 371.2198 +#> Sum of squared residuals at call 98: 371.2198 +#> Sum of squared residuals at call 102: 371.2174 +#> Sum of squared residuals at call 104: 371.2174 +#> Sum of squared residuals at call 107: 371.2147 +#> Sum of squared residuals at call 110: 371.2147 +#> Sum of squared residuals at call 111: 371.2147 +#> Sum of squared residuals at call 112: 371.2145 +#> Sum of squared residuals at call 113: 371.2145 +#> Sum of squared residuals at call 116: 371.2145 +#> Sum of squared residuals at call 119: 371.2135 +#> Sum of squared residuals at call 121: 371.2135 +#> Sum of squared residuals at call 124: 371.2135 +#> Sum of squared residuals at call 126: 371.2135 +#> Sum of squared residuals at call 127: 371.2135 +#> Sum of squared residuals at call 133: 371.2134 +#> Sum of squared residuals at call 135: 371.2134 +#> Sum of squared residuals at call 138: 371.2134 +#> Sum of squared residuals at call 142: 371.2134 #> Negative log-likelihood at call 152: 97.22429 #> Optimisation successfully terminated. #> User System verstrichen -#> 1.136 0.000 1.135 </div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/coef'>coef</a></span>(<span class='no'>fit.deSolve</span>)</div><div class='output co'>#> NULL</div><div class='input'><span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>fit.deSolve</span>)</div><div class='output co'>#> $ff +#> 1.152 0.000 1.153 </div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/coef'>coef</a></span>(<span class='no'>fit.deSolve</span>)</div><div class='output co'>#> NULL</div><div class='input'><span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>fit.deSolve</span>)</div><div class='output co'>#> $ff #> parent_sink parent_m1 m1_sink #> 0.485524 0.514476 1.000000 #> @@ -543,9 +551,9 @@ Per default, parameters in the kinetic models are internally transformed in </div><div class='input'><span class='co'># Weighted fits, including IRLS</span> <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>)</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'><span class='no'>f.noweight</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFO_SFO.ff</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>f.noweight</span>)</div><div class='output co'>#> mkin version used for fitting: 0.9.49.4 -#> R version used for fitting: 3.5.3 -#> Date of fit: Wed Apr 10 10:10:17 2019 -#> Date of summary: Wed Apr 10 10:10:17 2019 +#> R version used for fitting: 3.6.0 +#> Date of fit: Thu May 2 12:39:13 2019 +#> Date of summary: Thu May 2 12:39:13 2019 #> #> Equations: #> d_parent/dt = - k_parent * parent @@ -553,10 +561,10 @@ Per default, parameters in the kinetic models are internally transformed in #> #> Model predictions using solution type deSolve #> -#> Fitted with method using 404 model solutions performed in 1.105 s +#> Fitted using 404 model solutions performed in 1.178 s #> #> Error model: -#> NULL +#> Constant variance #> #> Starting values for parameters to be optimised: #> value type @@ -605,7 +613,7 @@ Per default, parameters in the kinetic models are internally transformed in #> f_parent_to_m1 0.514500 23.070 3.104e-22 0.469100 5.596e-01 #> sigma 3.126000 8.718 2.235e-10 2.396000 3.855e+00 #> -#> Chi2 error levels in percent: +#> FOCUS Chi2 error levels in percent: #> err.min n.optim df #> All data 6.398 4 15 #> parent 6.459 2 7 @@ -661,9 +669,9 @@ Per default, parameters in the kinetic models are internally transformed in #> 100 m1 33.13 31.98163 1.148e+00 #> 120 m1 25.15 28.78984 -3.640e+00 #> 120 m1 33.31 28.78984 4.520e+00</div><div class='input'><span class='no'>f.obs</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFO_SFO.ff</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>error_model</span> <span class='kw'>=</span> <span class='st'>"obs"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>f.obs</span>)</div><div class='output co'>#> mkin version used for fitting: 0.9.49.4 -#> R version used for fitting: 3.5.3 -#> Date of fit: Wed Apr 10 10:10:19 2019 -#> Date of summary: Wed Apr 10 10:10:19 2019 +#> R version used for fitting: 3.6.0 +#> Date of fit: Thu May 2 12:39:14 2019 +#> Date of summary: Thu May 2 12:39:14 2019 #> #> Equations: #> d_parent/dt = - k_parent * parent @@ -671,10 +679,10 @@ Per default, parameters in the kinetic models are internally transformed in #> #> Model predictions using solution type deSolve #> -#> Fitted with method using 558 model solutions performed in 1.602 s +#> Fitted using 558 model solutions performed in 1.518 s #> #> Error model: -#> NULL +#> Variance unique to each observed variable #> #> Starting values for parameters to be optimised: #> value type @@ -735,7 +743,7 @@ Per default, parameters in the kinetic models are internally transformed in #> sigma_parent 3.401000 5.985 5.662e-07 2.244000 4.559e+00 #> sigma_m1 2.855000 6.311 2.215e-07 1.934000 3.777e+00 #> -#> Chi2 error levels in percent: +#> FOCUS Chi2 error levels in percent: #> err.min n.optim df #> All data 6.398 4 15 #> parent 6.464 2 7 @@ -791,9 +799,9 @@ Per default, parameters in the kinetic models are internally transformed in #> 100 m1 33.13 31.98774 1.142e+00 #> 120 m1 25.15 28.80430 -3.654e+00 #> 120 m1 33.31 28.80430 4.506e+00</div><div class='input'><span class='no'>f.tc</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFO_SFO.ff</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>error_model</span> <span class='kw'>=</span> <span class='st'>"tc"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/summary'>summary</a></span>(<span class='no'>f.tc</span>)</div><div class='output co'>#> mkin version used for fitting: 0.9.49.4 -#> R version used for fitting: 3.5.3 -#> Date of fit: Wed Apr 10 10:10:22 2019 -#> Date of summary: Wed Apr 10 10:10:22 2019 +#> R version used for fitting: 3.6.0 +#> Date of fit: Thu May 2 12:39:18 2019 +#> Date of summary: Thu May 2 12:39:18 2019 #> #> Equations: #> d_parent/dt = - k_parent * parent @@ -801,10 +809,10 @@ Per default, parameters in the kinetic models are internally transformed in #> #> Model predictions using solution type deSolve #> -#> Fitted with method using 756 model solutions performed in 3.222 s +#> Fitted using 844 model solutions performed in 3.501 s #> #> Error model: -#> NULL +#> Two-component variance function #> #> Starting values for parameters to be optimised: #> value type @@ -812,8 +820,8 @@ Per default, parameters in the kinetic models are internally transformed in #> k_parent 0.1000 deparm #> k_m1 0.1001 deparm #> f_parent_to_m1 0.5000 deparm -#> sigma_low 0.5000 error -#> rsd_high 0.0700 error +#> sigma_low 3.0000 error +#> rsd_high 0.0100 error #> #> Starting values for the transformed parameters actually optimised: #> value lower upper @@ -821,8 +829,8 @@ Per default, parameters in the kinetic models are internally transformed in #> log_k_parent -2.302585 -Inf Inf #> log_k_m1 -2.301586 -Inf Inf #> f_parent_ilr_1 0.000000 -Inf Inf -#> sigma_low 0.500000 0 Inf -#> rsd_high 0.070000 0 Inf +#> sigma_low 3.000000 0 Inf +#> rsd_high 0.010000 0 Inf #> #> Fixed parameter values: #> value type @@ -858,7 +866,7 @@ Per default, parameters in the kinetic models are internally transformed in #> sigma_low 3.050e-03 0.6314 2.661e-01 -0.006786 1.289e-02 #> rsd_high 7.928e-02 8.4170 6.418e-10 0.060100 9.847e-02 #> -#> Chi2 error levels in percent: +#> FOCUS Chi2 error levels in percent: #> err.min n.optim df #> All data 6.475 4 15 #> parent 6.573 2 7 @@ -876,18 +884,18 @@ Per default, parameters in the kinetic models are internally transformed in #> #> Data: #> time variable observed predicted residual -#> 0 parent 99.46 100.73434 -1.274340 -#> 0 parent 102.04 100.73434 1.305660 +#> 0 parent 99.46 100.73434 -1.274339 +#> 0 parent 102.04 100.73434 1.305661 #> 1 parent 93.50 91.09751 2.402486 #> 1 parent 92.50 91.09751 1.402486 #> 3 parent 63.23 74.50141 -11.271410 #> 3 parent 68.99 74.50141 -5.511410 -#> 7 parent 52.32 49.82880 2.491200 -#> 7 parent 55.13 49.82880 5.301200 +#> 7 parent 52.32 49.82880 2.491201 +#> 7 parent 55.13 49.82880 5.301201 #> 14 parent 27.27 24.64809 2.621908 #> 14 parent 26.64 24.64809 1.991908 -#> 21 parent 11.50 12.19232 -0.692316 -#> 21 parent 11.64 12.19232 -0.552316 +#> 21 parent 11.50 12.19232 -0.692315 +#> 21 parent 11.64 12.19232 -0.552315 #> 35 parent 2.85 2.98327 -0.133266 #> 35 parent 2.91 2.98327 -0.073266 #> 50 parent 0.69 0.66013 0.029874 @@ -900,20 +908,20 @@ Per default, parameters in the kinetic models are internally transformed in #> 3 m1 12.96 13.22867 -0.268669 #> 7 m1 22.97 25.36417 -2.394167 #> 7 m1 24.47 25.36417 -0.894167 -#> 14 m1 41.69 37.00974 4.680262 -#> 14 m1 33.21 37.00974 -3.799738 +#> 14 m1 41.69 37.00974 4.680263 +#> 14 m1 33.21 37.00974 -3.799737 #> 21 m1 44.37 41.90133 2.468668 #> 21 m1 46.44 41.90133 4.538668 #> 35 m1 41.22 43.45691 -2.236914 #> 35 m1 37.95 43.45691 -5.506914 #> 50 m1 41.19 41.34199 -0.151986 #> 50 m1 40.01 41.34199 -1.331986 -#> 75 m1 40.09 36.61470 3.475295 -#> 75 m1 33.85 36.61470 -2.764705 -#> 100 m1 31.04 32.20082 -1.160823 -#> 100 m1 33.13 32.20082 0.929177 -#> 120 m1 25.15 29.04130 -3.891303 -#> 120 m1 33.31 29.04130 4.268697</div><div class='input'> +#> 75 m1 40.09 36.61471 3.475294 +#> 75 m1 33.85 36.61471 -2.764706 +#> 100 m1 31.04 32.20082 -1.160824 +#> 100 m1 33.13 32.20082 0.929176 +#> 120 m1 25.15 29.04130 -3.891305 +#> 120 m1 33.31 29.04130 4.268695</div><div class='input'> </div></pre> </div> <div class="col-md-3 hidden-xs hidden-sm" id="sidebar"> |