diff options
Diffstat (limited to 'docs/reference/mkinfit.html')
| -rw-r--r-- | docs/reference/mkinfit.html | 339 | 
1 files changed, 149 insertions, 190 deletions
| diff --git a/docs/reference/mkinfit.html b/docs/reference/mkinfit.html index 8c14fc9d..b75b7c95 100644 --- a/docs/reference/mkinfit.html +++ b/docs/reference/mkinfit.html @@ -360,17 +360,17 @@ Per default, parameters in the kinetic models are internally transformed in      <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>      <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  +<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'>#> <span class='warning'>Warning: Could not calculate correlation; no covariance matrix</span></div><div class='output co'>#> mkin version used for fitting:    0.9.49.4   #> R version used for fitting:       3.6.0  -#> Date of fit:     Fri May  3 19:07:19 2019  -#> Date of summary: Fri May  3 19:07:19 2019  +#> Date of fit:     Tue May  7 08:08:23 2019  +#> Date of summary: Tue May  7 08:08:23 2019   #>   #> Equations:  #> d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent  #>   #> Model predictions using solution type analytical   #>  -#> Fitted using 222 model solutions performed in 0.463 s +#> Fitted using 66 model solutions performed in 0.139 s  #>   #> Error model:  #> Constant variance  @@ -393,28 +393,23 @@ Per default, parameters in the kinetic models are internally transformed in  #> None  #>   #> Optimised, transformed parameters with symmetric confidence intervals: -#>           Estimate Std. Error    Lower   Upper -#> parent_0  85.87000     1.8070 81.23000 90.5200 -#> log_alpha  0.05192     0.1353 -0.29580  0.3996 -#> log_beta   0.65100     0.2287  0.06315  1.2390 -#> sigma      1.85700     0.4378  0.73200  2.9830 +#>           Estimate Std. Error Lower Upper +#> parent_0  85.87000         NA    NA    NA +#> log_alpha  0.05192         NA    NA    NA +#> log_beta   0.65100         NA    NA    NA +#> sigma      1.85700         NA    NA    NA  #>   #> Parameter correlation: -#>             parent_0  log_alpha   log_beta     sigma -#> parent_0   1.000e+00 -1.565e-01 -3.142e-01 4.770e-08 -#> log_alpha -1.565e-01  1.000e+00  9.564e-01 9.974e-08 -#> log_beta  -3.142e-01  9.564e-01  1.000e+00 8.468e-08 -#> sigma      4.770e-08  9.974e-08  8.468e-08 1.000e+00 -#>  +#> No covariance matrix  #> Backtransformed parameters:  #> Confidence intervals for internally transformed parameters are asymmetric.  #> t-test (unrealistically) based on the assumption of normal distribution  #> for estimators of untransformed parameters. -#>          Estimate t value    Pr(>t)   Lower  Upper -#> parent_0   85.870  47.530 3.893e-08 81.2300 90.520 -#> alpha       1.053   7.393 3.562e-04  0.7439  1.491 -#> beta        1.917   4.373 3.601e-03  1.0650  3.451 -#> sigma       1.857   4.243 4.074e-03  0.7320  2.983 +#>          Estimate t value Pr(>t) Lower Upper +#> parent_0   85.870      NA     NA    NA    NA +#> alpha       1.053      NA     NA    NA    NA +#> beta        1.917      NA     NA    NA    NA +#> sigma       1.857      NA     NA    NA    NA  #>   #> FOCUS Chi2 error levels in percent:  #>          err.min n.optim df @@ -443,7 +438,7 @@ 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  -#>       1.493       0.000       1.494 </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 +#>       0.637       0.000       0.640 </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   #>  @@ -514,10 +509,8 @@ Per default, parameters in the kinetic models are internally transformed in  #> Sum of squared residuals at call 125: 371.2134  #> Sum of squared residuals at call 126: 371.2134  #> Sum of squared residuals at call 135: 371.2134 -#> Negative log-likelihood at call 145: 97.22429 -#> Optimisation successfully terminated. -#>        User      System verstrichen  -#>       1.082       0.000       1.083 </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 +#> Negative log-likelihood at call 145: 97.22429</div><div class='output co'>#> <span class='message'>Optimisation successfully terminated.</span></div><div class='output co'>#>        User      System verstrichen  +#>       0.544       0.000       0.550 </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'>#> $ff  #> parent_sink   parent_m1     m1_sink   #>    0.485524    0.514476    1.000000   #>  @@ -547,10 +540,10 @@ Per default, parameters in the kinetic models are internally transformed in  <span class='no'>fit.SFORB_SFO</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFORB_SFO</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>parms.ini</span> <span class='kw'>=</span> <span class='no'>fit.SFORB</span>$<span class='no'>bparms.ode</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'>  </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  +                      <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'>#> <span class='warning'>Warning: Could not calculate correlation; no covariance matrix</span></div><div class='output co'>#> mkin version used for fitting:    0.9.49.4   #> R version used for fitting:       3.6.0  -#> Date of fit:     Fri May  3 19:07:35 2019  -#> Date of summary: Fri May  3 19:07:35 2019  +#> Date of fit:     Tue May  7 08:08:30 2019  +#> Date of summary: Tue May  7 08:08:30 2019   #>   #> Equations:  #> d_parent/dt = - k_parent * parent @@ -558,7 +551,7 @@ Per default, parameters in the kinetic models are internally transformed in  #>   #> Model predictions using solution type deSolve   #>  -#> Fitted using 421 model solutions performed in 1.099 s +#> Fitted using 185 model solutions performed in 0.499 s  #>   #> Error model:  #> Constant variance  @@ -584,31 +577,25 @@ Per default, parameters in the kinetic models are internally transformed in  #> m1_0     0 state  #>   #> Optimised, transformed parameters with symmetric confidence intervals: -#>                Estimate Std. Error    Lower    Upper -#> parent_0       99.60000    1.57000 96.40000 102.8000 -#> log_k_parent   -2.31600    0.04087 -2.39900  -2.2330 -#> log_k_m1       -5.24800    0.13320 -5.51800  -4.9770 -#> f_parent_ilr_1  0.04096    0.06312 -0.08746   0.1694 -#> sigma           3.12600    0.35850  2.39600   3.8550 +#>                Estimate Std. Error Lower Upper +#> parent_0       99.60000         NA    NA    NA +#> log_k_parent   -2.31600         NA    NA    NA +#> log_k_m1       -5.24800         NA    NA    NA +#> f_parent_ilr_1  0.04096         NA    NA    NA +#> sigma           3.12600         NA    NA    NA  #>   #> Parameter correlation: -#>                  parent_0 log_k_parent   log_k_m1 f_parent_ilr_1      sigma -#> parent_0        1.000e+00    5.174e-01 -1.688e-01     -5.471e-01 -2.265e-07 -#> log_k_parent    5.174e-01    1.000e+00 -3.263e-01     -5.426e-01  3.785e-07 -#> log_k_m1       -1.688e-01   -3.263e-01  1.000e+00      7.478e-01 -1.386e-07 -#> f_parent_ilr_1 -5.471e-01   -5.426e-01  7.478e-01      1.000e+00 -3.641e-08 -#> sigma          -2.265e-07    3.785e-07 -1.386e-07     -3.641e-08  1.000e+00 -#>  +#> No covariance matrix  #> Backtransformed parameters:  #> Confidence intervals for internally transformed parameters are asymmetric.  #> t-test (unrealistically) based on the assumption of normal distribution  #> for estimators of untransformed parameters. -#>                 Estimate t value    Pr(>t)     Lower     Upper -#> parent_0       99.600000  63.430 2.298e-36 96.400000 1.028e+02 -#> k_parent        0.098700  24.470 4.955e-23  0.090820 1.073e-01 -#> k_m1            0.005261   7.510 6.165e-09  0.004012 6.898e-03 -#> 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 +#>                 Estimate t value Pr(>t) Lower Upper +#> parent_0       99.600000      NA     NA    NA    NA +#> k_parent        0.098700      NA     NA    NA    NA +#> k_m1            0.005261      NA     NA    NA    NA +#> f_parent_to_m1  0.514500      NA     NA    NA    NA +#> sigma           3.126000      NA     NA    NA    NA  #>   #> FOCUS Chi2 error levels in percent:  #>          err.min n.optim df @@ -665,10 +652,10 @@ Per default, parameters in the kinetic models are internally transformed in  #>   100       m1    31.04  31.98163 -9.416e-01  #>   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  +#>   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'>#> <span class='warning'>Warning: Could not calculate correlation; no covariance matrix</span></div><div class='output co'>#> mkin version used for fitting:    0.9.49.4   #> R version used for fitting:       3.6.0  -#> Date of fit:     Fri May  3 19:07:37 2019  -#> Date of summary: Fri May  3 19:07:37 2019  +#> Date of fit:     Tue May  7 08:08:32 2019  +#> Date of summary: Tue May  7 08:08:32 2019   #>   #> Equations:  #> d_parent/dt = - k_parent * parent @@ -676,7 +663,7 @@ Per default, parameters in the kinetic models are internally transformed in  #>   #> Model predictions using solution type deSolve   #>  -#> Fitted using 756 model solutions performed in 1.973 s +#> Fitted using 426 model solutions performed in 1.139 s  #>   #> Error model:  #> Variance unique to each observed variable  @@ -704,41 +691,27 @@ Per default, parameters in the kinetic models are internally transformed in  #> m1_0     0 state  #>   #> Optimised, transformed parameters with symmetric confidence intervals: -#>                Estimate Std. Error    Lower    Upper -#> parent_0       99.65000    1.70200 96.19000 103.1000 -#> log_k_parent   -2.31300    0.04376 -2.40200  -2.2240 -#> log_k_m1       -5.25000    0.12430 -5.50400  -4.9970 -#> f_parent_ilr_1  0.03861    0.06171 -0.08708   0.1643 -#> sigma_parent    3.40100    0.56820  2.24400   4.5590 -#> sigma_m1        2.85500    0.45240  1.93400   3.7770 +#>                Estimate Std. Error Lower Upper +#> parent_0       99.65000         NA    NA    NA +#> log_k_parent   -2.31300         NA    NA    NA +#> log_k_m1       -5.25000         NA    NA    NA +#> f_parent_ilr_1  0.03861         NA    NA    NA +#> sigma_parent    3.40100         NA    NA    NA +#> sigma_m1        2.85500         NA    NA    NA  #>   #> Parameter correlation: -#>                parent_0 log_k_parent log_k_m1 f_parent_ilr_1 sigma_parent -#> parent_0        1.00000      0.51078 -0.19133       -0.59997     0.035685 -#> log_k_parent    0.51078      1.00000 -0.37458       -0.59239     0.069840 -#> log_k_m1       -0.19133     -0.37458  1.00000        0.74398    -0.026160 -#> f_parent_ilr_1 -0.59997     -0.59239  0.74398        1.00000    -0.041377 -#> sigma_parent    0.03569      0.06984 -0.02616       -0.04138     1.000000 -#> sigma_m1       -0.03385     -0.06626  0.02482        0.03925    -0.004628 -#>                 sigma_m1 -#> parent_0       -0.033847 -#> log_k_parent   -0.066264 -#> log_k_m1        0.024822 -#> f_parent_ilr_1  0.039254 -#> sigma_parent   -0.004628 -#> sigma_m1        1.000000 -#>  +#> No covariance matrix  #> Backtransformed parameters:  #> Confidence intervals for internally transformed parameters are asymmetric.  #> t-test (unrealistically) based on the assumption of normal distribution  #> for estimators of untransformed parameters. -#>                 Estimate t value    Pr(>t)     Lower     Upper -#> parent_0       99.650000  58.560 2.004e-34 96.190000 1.031e+02 -#> k_parent        0.098970  22.850 1.099e-21  0.090530 1.082e-01 -#> k_m1            0.005245   8.046 1.732e-09  0.004072 6.756e-03 -#> f_parent_to_m1  0.513600  23.560 4.352e-22  0.469300 5.578e-01 -#> 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 +#>                 Estimate t value Pr(>t) Lower Upper +#> parent_0       99.650000      NA     NA    NA    NA +#> k_parent        0.098970      NA     NA    NA    NA +#> k_m1            0.005245      NA     NA    NA    NA +#> f_parent_to_m1  0.513600      NA     NA    NA    NA +#> sigma_parent    3.401000      NA     NA    NA    NA +#> sigma_m1        2.855000      NA     NA    NA    NA  #>   #> FOCUS Chi2 error levels in percent:  #>          err.min n.optim df @@ -758,47 +731,47 @@ Per default, parameters in the kinetic models are internally transformed in  #>   #> Data:  #>  time variable observed predicted   residual -#>     0   parent    99.46  99.65425 -1.942e-01 -#>     0   parent   102.04  99.65425  2.386e+00 -#>     1   parent    93.50  90.26338  3.237e+00 -#>     1   parent    92.50  90.26338  2.237e+00 -#>     3   parent    63.23  74.05309 -1.082e+01 -#>     3   parent    68.99  74.05309 -5.063e+00 -#>     7   parent    52.32  49.84326  2.477e+00 -#>     7   parent    55.13  49.84326  5.287e+00 -#>    14   parent    27.27  24.92970  2.340e+00 -#>    14   parent    26.64  24.92970  1.710e+00 -#>    21   parent    11.50  12.46888 -9.689e-01 -#>    21   parent    11.64  12.46888 -8.289e-01 -#>    35   parent     2.85   3.11924 -2.692e-01 -#>    35   parent     2.91   3.11924 -2.092e-01 -#>    50   parent     0.69   0.70678 -1.678e-02 -#>    50   parent     0.63   0.70678 -7.678e-02 -#>    75   parent     0.05   0.05952 -9.522e-03 -#>    75   parent     0.06   0.05952  4.776e-04 +#>     0   parent    99.46  99.65417 -1.942e-01 +#>     0   parent   102.04  99.65417  2.386e+00 +#>     1   parent    93.50  90.26332  3.237e+00 +#>     1   parent    92.50  90.26332  2.237e+00 +#>     3   parent    63.23  74.05306 -1.082e+01 +#>     3   parent    68.99  74.05306 -5.063e+00 +#>     7   parent    52.32  49.84325  2.477e+00 +#>     7   parent    55.13  49.84325  5.287e+00 +#>    14   parent    27.27  24.92971  2.340e+00 +#>    14   parent    26.64  24.92971  1.710e+00 +#>    21   parent    11.50  12.46890 -9.689e-01 +#>    21   parent    11.64  12.46890 -8.289e-01 +#>    35   parent     2.85   3.11925 -2.692e-01 +#>    35   parent     2.91   3.11925 -2.092e-01 +#>    50   parent     0.69   0.70679 -1.679e-02 +#>    50   parent     0.63   0.70679 -7.679e-02 +#>    75   parent     0.05   0.05952 -9.523e-03 +#>    75   parent     0.06   0.05952  4.772e-04  #>     1       m1     4.84   4.81075  2.925e-02  #>     1       m1     5.64   4.81075  8.292e-01 -#>     3       m1    12.91  13.04197 -1.320e-01 -#>     3       m1    12.96  13.04197 -8.197e-02 -#>     7       m1    22.97  25.06848 -2.098e+00 -#>     7       m1    24.47  25.06848 -5.985e-01 +#>     3       m1    12.91  13.04196 -1.320e-01 +#>     3       m1    12.96  13.04196 -8.196e-02 +#>     7       m1    22.97  25.06847 -2.098e+00 +#>     7       m1    24.47  25.06847 -5.985e-01  #>    14       m1    41.69  36.70308  4.987e+00  #>    14       m1    33.21  36.70308 -3.493e+00  #>    21       m1    44.37  41.65115  2.719e+00  #>    21       m1    46.44  41.65115  4.789e+00 -#>    35       m1    41.22  43.29464 -2.075e+00 -#>    35       m1    37.95  43.29464 -5.345e+00 -#>    50       m1    41.19  41.19947 -9.473e-03 -#>    50       m1    40.01  41.19947 -1.189e+00 -#>    75       m1    40.09  36.44035  3.650e+00 -#>    75       m1    33.85  36.44035 -2.590e+00 -#>   100       m1    31.04  31.98773 -9.477e-01 -#>   100       m1    33.13  31.98773  1.142e+00 +#>    35       m1    41.22  43.29465 -2.075e+00 +#>    35       m1    37.95  43.29465 -5.345e+00 +#>    50       m1    41.19  41.19948 -9.481e-03 +#>    50       m1    40.01  41.19948 -1.189e+00 +#>    75       m1    40.09  36.44036  3.650e+00 +#>    75       m1    33.85  36.44036 -2.590e+00 +#>   100       m1    31.04  31.98774 -9.477e-01 +#>   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'>#> <span class='warning'>Warning: NaNs wurden erzeugt</span></div><div class='output co'>#> <span class='warning'>Warning: NaNs wurden erzeugt</span></div><div class='output co'>#> <span class='warning'>Warning: NaNs wurden erzeugt</span></div><div class='output co'>#> <span class='warning'>Warning: diag(.) had 0 or NA entries; non-finite result is doubtful</span></div><div class='output co'>#> mkin version used for fitting:    0.9.49.4  +#>   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'>#> <span class='warning'>Warning: Could not calculate correlation; no covariance matrix</span></div><div class='output co'>#> mkin version used for fitting:    0.9.49.4   #> R version used for fitting:       3.6.0  -#> Date of fit:     Fri May  3 19:07:40 2019  -#> Date of summary: Fri May  3 19:07:40 2019  +#> Date of fit:     Tue May  7 08:08:34 2019  +#> Date of summary: Tue May  7 08:08:34 2019   #>   #> Equations:  #> d_parent/dt = - k_parent * parent @@ -806,7 +779,7 @@ Per default, parameters in the kinetic models are internally transformed in  #>   #> Model predictions using solution type deSolve   #>  -#> Fitted using 888 model solutions performed in 3.579 s +#> Fitted using 489 model solutions performed in 2.013 s  #>   #> Error model:  #> Two-component variance function  @@ -834,98 +807,84 @@ Per default, parameters in the kinetic models are internally transformed in  #> m1_0     0 state  #>   #> Optimised, transformed parameters with symmetric confidence intervals: -#>                 Estimate Std. Error    Lower     Upper -#> parent_0       100.30000    3.06400 94.08000 106.60000 -#> log_k_parent    -2.31100    0.02913 -2.37100  -2.25200 -#> log_k_m1        -5.27800    0.10890 -5.49900  -5.05600 -#> f_parent_ilr_1   0.02128    0.07223 -0.12590   0.16840 -#> sigma_low        0.99650        NaN      NaN       NaN -#> rsd_high         0.07560    0.01059  0.05402   0.09717 +#>                 Estimate Std. Error Lower Upper +#> parent_0       100.70000         NA    NA    NA +#> log_k_parent    -2.29700         NA    NA    NA +#> log_k_m1        -5.26600         NA    NA    NA +#> f_parent_ilr_1   0.02374         NA    NA    NA +#> sigma_low        0.00305         NA    NA    NA +#> rsd_high         0.07928         NA    NA    NA  #>   #> Parameter correlation: -#>                parent_0 log_k_parent  log_k_m1 f_parent_ilr_1 sigma_low -#> parent_0        1.00000      0.64703 -0.220160       -0.79035       NaN -#> log_k_parent    0.64703      1.00000 -0.339633       -0.67982       NaN -#> log_k_m1       -0.22016     -0.33963  1.000000        0.62815       NaN -#> f_parent_ilr_1 -0.79035     -0.67982  0.628148        1.00000       NaN -#> sigma_low           NaN          NaN       NaN            NaN         1 -#> rsd_high       -0.05745     -0.01123  0.003502        0.00568       NaN -#>                 rsd_high -#> parent_0       -0.057450 -#> log_k_parent   -0.011230 -#> log_k_m1        0.003502 -#> f_parent_ilr_1  0.005680 -#> sigma_low            NaN -#> rsd_high        1.000000 -#>  +#> No covariance matrix  #> Backtransformed parameters:  #> Confidence intervals for internally transformed parameters are asymmetric.  #> t-test (unrealistically) based on the assumption of normal distribution  #> for estimators of untransformed parameters. -#>                 Estimate t value    Pr(>t)     Lower     Upper -#> parent_0       1.003e+02  32.740 1.759e-26 94.080000 1.066e+02 -#> k_parent       9.914e-02  34.330 4.045e-27  0.093430 1.052e-01 -#> k_m1           5.105e-03   9.186 8.682e-11  0.004089 6.372e-03 -#> f_parent_to_m1 5.075e-01  19.880 7.143e-20  0.455600 5.593e-01 -#> sigma_low      9.965e-01     NaN       NaN       NaN       NaN -#> rsd_high       7.560e-02   7.137 2.114e-08  0.054020 9.717e-02 +#>                 Estimate t value Pr(>t) Lower Upper +#> parent_0       1.007e+02      NA     NA    NA    NA +#> k_parent       1.006e-01      NA     NA    NA    NA +#> k_m1           5.167e-03      NA     NA    NA    NA +#> f_parent_to_m1 5.084e-01      NA     NA    NA    NA +#> sigma_low      3.050e-03      NA     NA    NA    NA +#> rsd_high       7.928e-02      NA     NA    NA    NA  #>   #> FOCUS Chi2 error levels in percent:  #>          err.min n.optim df -#> All data   6.433       4 15 -#> parent     6.506       2  7 -#> m1         4.692       2  8 +#> All data   6.475       4 15 +#> parent     6.573       2  7 +#> m1         4.671       2  8  #>   #> Resulting formation fractions:  #>                 ff -#> parent_m1   0.5075 -#> parent_sink 0.4925 +#> parent_m1   0.5084 +#> parent_sink 0.4916  #>   #> Estimated disappearance times: -#>           DT50   DT90 -#> parent   6.992  23.23 -#> m1     135.787 451.08 +#>           DT50  DT90 +#> parent   6.893  22.9 +#> m1     134.156 445.7  #>   #> Data:  #>  time variable observed predicted   residual -#>     0   parent    99.46 100.32122  -0.861220 -#>     0   parent   102.04 100.32122   1.718780 -#>     1   parent    93.50  90.85266   2.647340 -#>     1   parent    92.50  90.85266   1.647340 -#>     3   parent    63.23  74.51219 -11.282190 -#>     3   parent    68.99  74.51219  -5.522190 -#>     7   parent    52.32  50.11950   2.200504 -#>     7   parent    55.13  50.11950   5.010504 -#>    14   parent    27.27  25.03921   2.230792 -#>    14   parent    26.64  25.03921   1.600792 -#>    21   parent    11.50  12.50934  -1.009342 -#>    21   parent    11.64  12.50934  -0.869342 -#>    35   parent     2.85   3.12221  -0.272211 -#>    35   parent     2.91   3.12221  -0.212211 -#>    50   parent     0.69   0.70572  -0.015724 -#>    50   parent     0.63   0.70572  -0.075724 -#>    75   parent     0.05   0.05919  -0.009191 -#>    75   parent     0.06   0.05919   0.000809 -#>     1       m1     4.84   4.79307   0.046928 -#>     1       m1     5.64   4.79307   0.846928 -#>     3       m1    12.91  12.99398  -0.083980 -#>     3       m1    12.96  12.99398  -0.033980 -#>     7       m1    22.97  24.97744  -2.007441 -#>     7       m1    24.47  24.97744  -0.507441 -#>    14       m1    41.69  36.57917   5.110827 -#>    14       m1    33.21  36.57917  -3.369173 -#>    21       m1    44.37  41.52931   2.840692 -#>    21       m1    46.44  41.52931   4.910692 -#>    35       m1    41.22  43.22614  -2.006138 -#>    35       m1    37.95  43.22614  -5.276138 -#>    50       m1    41.19  41.20972  -0.019717 -#>    50       m1    40.01  41.20972  -1.199717 -#>    75       m1    40.09  36.57312   3.516882 -#>    75       m1    33.85  36.57312  -2.723118 -#>   100       m1    31.04  32.21655  -1.176546 -#>   100       m1    33.13  32.21655   0.913454 -#>   120       m1    25.15  29.09181  -3.941814 -#>   120       m1    33.31  29.09181   4.218186</div><div class='input'> +#>     0   parent    99.46 100.73433  -1.274329 +#>     0   parent   102.04 100.73433   1.305671 +#>     1   parent    93.50  91.09750   2.402495 +#>     1   parent    92.50  91.09750   1.402495 +#>     3   parent    63.23  74.50140 -11.271403 +#>     3   parent    68.99  74.50140  -5.511403 +#>     7   parent    52.32  49.82880   2.491205 +#>     7   parent    55.13  49.82880   5.301205 +#>    14   parent    27.27  24.64809   2.621909 +#>    14   parent    26.64  24.64809   1.991909 +#>    21   parent    11.50  12.19231  -0.692315 +#>    21   parent    11.64  12.19231  -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 +#>    50   parent     0.63   0.66013  -0.030126 +#>    75   parent     0.05   0.05344  -0.003438 +#>    75   parent     0.06   0.05344   0.006562 +#>     1       m1     4.84   4.88645  -0.046451 +#>     1       m1     5.64   4.88645   0.753549 +#>     3       m1    12.91  13.22867  -0.318668 +#>     3       m1    12.96  13.22867  -0.268668 +#>     7       m1    22.97  25.36416  -2.394164 +#>     7       m1    24.47  25.36416  -0.894164 +#>    14       m1    41.69  37.00974   4.680265 +#>    14       m1    33.21  37.00974  -3.799735 +#>    21       m1    44.37  41.90133   2.468670 +#>    21       m1    46.44  41.90133   4.538670 +#>    35       m1    41.22  43.45691  -2.236914 +#>    35       m1    37.95  43.45691  -5.506914 +#>    50       m1    41.19  41.34199  -0.151988 +#>    50       m1    40.01  41.34199  -1.331988 +#>    75       m1    40.09  36.61471   3.475290 +#>    75       m1    33.85  36.61471  -2.764710 +#>   100       m1    31.04  32.20083  -1.160830 +#>   100       m1    33.13  32.20083   0.929170 +#>   120       m1    25.15  29.04131  -3.891312 +#>   120       m1    33.31  29.04131   4.268688</div><div class='input'>  </div></pre>    </div>    <div class="col-md-3 hidden-xs hidden-sm" id="sidebar"> | 
