diff options
| author | Johannes Ranke <jranke@uni-bremen.de> | 2019-05-07 08:43:12 +0200 | 
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2019-05-07 08:43:12 +0200 | 
| commit | c322a8102a399cbb1fe38c4c4ca4485cea8bc4e8 (patch) | |
| tree | 892ba3d6db12d7f2c6af55beaa12cc8b43d40df3 /docs/reference/mkinfit.html | |
| parent | 8a3475c59f3d91ce5ce7d980d6de09360617e7fe (diff) | |
Fix hessian calculations
Static documentation rebuilt by pkgdown
Diffstat (limited to 'docs/reference/mkinfit.html')
| -rw-r--r-- | docs/reference/mkinfit.html | 176 | 
1 files changed, 104 insertions, 72 deletions
| diff --git a/docs/reference/mkinfit.html b/docs/reference/mkinfit.html index b75b7c95..09329a86 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'>#> <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  +<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:       3.6.0  -#> Date of fit:     Tue May  7 08:08:23 2019  -#> Date of summary: Tue May  7 08:08:23 2019  +#> Date of fit:     Tue May  7 08:36:16 2019  +#> Date of summary: Tue May  7 08:36:16 2019   #>   #> Equations:  #> d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent  #>   #> Model predictions using solution type analytical   #>  -#> Fitted using 66 model solutions performed in 0.139 s +#> Fitted using 222 model solutions performed in 0.89 s  #>   #> Error model:  #> Constant variance  @@ -393,23 +393,28 @@ 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         NA    NA    NA -#> log_alpha  0.05192         NA    NA    NA -#> log_beta   0.65100         NA    NA    NA -#> sigma      1.85700         NA    NA    NA +#>           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  #>   #> Parameter correlation: -#> No covariance matrix +#>             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 +#>   #> 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      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 +#>          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  #>   #> FOCUS Chi2 error levels in percent:  #>          err.min n.optim df @@ -438,7 +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  -#>       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 +#>       2.251       0.000       2.253 </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   #>  @@ -510,7 +515,7 @@ Per default, parameters in the kinetic models are internally transformed in  #> 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</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 +#>       1.151       0.000       1.152 </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'>#> $ff  #> parent_sink   parent_m1     m1_sink   #>    0.485524    0.514476    1.000000   #>  @@ -540,10 +545,10 @@ Per default, parameters in the kinetic models are internally transformed in  <span class='no'>fit.SFORB_SFO</span> <span class='kw'><-</span> <span class='fu'>mkinfit</span>(<span class='no'>SFORB_SFO</span>, <span class='no'>FOCUS_2006_D</span>, <span class='kw'>parms.ini</span> <span class='kw'>=</span> <span class='no'>fit.SFORB</span>$<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'>#> <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  +                      <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:       3.6.0  -#> Date of fit:     Tue May  7 08:08:30 2019  -#> Date of summary: Tue May  7 08:08:30 2019  +#> Date of fit:     Tue May  7 08:36:33 2019  +#> Date of summary: Tue May  7 08:36:33 2019   #>   #> Equations:  #> d_parent/dt = - k_parent * parent @@ -551,7 +556,7 @@ Per default, parameters in the kinetic models are internally transformed in  #>   #> Model predictions using solution type deSolve   #>  -#> Fitted using 185 model solutions performed in 0.499 s +#> Fitted using 421 model solutions performed in 1.1 s  #>   #> Error model:  #> Constant variance  @@ -577,25 +582,31 @@ 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         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 +#>                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  #>   #> Parameter correlation: -#> No covariance matrix +#>                  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 +#>   #> 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      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 +#>                 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  #>   #> FOCUS Chi2 error levels in percent:  #>          err.min n.optim df @@ -652,10 +663,10 @@ 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'>#> <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  +#>   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:       3.6.0  -#> Date of fit:     Tue May  7 08:08:32 2019  -#> Date of summary: Tue May  7 08:08:32 2019  +#> Date of fit:     Tue May  7 08:36:35 2019  +#> Date of summary: Tue May  7 08:36:35 2019   #>   #> Equations:  #> d_parent/dt = - k_parent * parent @@ -663,7 +674,7 @@ Per default, parameters in the kinetic models are internally transformed in  #>   #> Model predictions using solution type deSolve   #>  -#> Fitted using 426 model solutions performed in 1.139 s +#> Fitted using 758 model solutions performed in 1.991 s  #>   #> Error model:  #> Variance unique to each observed variable  @@ -691,27 +702,41 @@ 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         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 +#>                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  #>   #> Parameter correlation: -#> No covariance matrix +#>                parent_0 log_k_parent log_k_m1 f_parent_ilr_1 sigma_parent +#> parent_0        1.00000      0.51078 -0.19133       -0.59997     0.035670 +#> log_k_parent    0.51078      1.00000 -0.37458       -0.59239     0.069833 +#> log_k_m1       -0.19133     -0.37458  1.00000        0.74398    -0.026158 +#> f_parent_ilr_1 -0.59997     -0.59239  0.74398        1.00000    -0.041368 +#> sigma_parent    0.03567      0.06983 -0.02616       -0.04137     1.000000 +#> sigma_m1       -0.03385     -0.06627  0.02482        0.03925    -0.004628 +#>                 sigma_m1 +#> parent_0       -0.033847 +#> log_k_parent   -0.066265 +#> log_k_m1        0.024821 +#> f_parent_ilr_1  0.039255 +#> sigma_parent   -0.004628 +#> sigma_m1        1.000000 +#>   #> 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      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 +#>                 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  #>   #> FOCUS Chi2 error levels in percent:  #>          err.min n.optim df @@ -768,10 +793,10 @@ Per default, parameters in the kinetic models are internally transformed in  #>   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: Could not calculate correlation; no covariance matrix</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'>#> mkin version used for fitting:    0.9.49.4   #> R version used for fitting:       3.6.0  -#> Date of fit:     Tue May  7 08:08:34 2019  -#> Date of summary: Tue May  7 08:08:34 2019  +#> Date of fit:     Tue May  7 08:36:39 2019  +#> Date of summary: Tue May  7 08:36:39 2019   #>   #> Equations:  #> d_parent/dt = - k_parent * parent @@ -779,7 +804,7 @@ Per default, parameters in the kinetic models are internally transformed in  #>   #> Model predictions using solution type deSolve   #>  -#> Fitted using 489 model solutions performed in 2.013 s +#> Fitted using 821 model solutions performed in 3.304 s  #>   #> Error model:  #> Two-component variance function  @@ -807,27 +832,34 @@ 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       100.70000         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 +#>                 Estimate Std. Error     Lower     Upper +#> parent_0       100.70000   2.621000 95.400000 106.10000 +#> log_k_parent    -2.29700   0.008862 -2.315000  -2.27900 +#> log_k_m1        -5.26600   0.091310 -5.452000  -5.08000 +#> f_parent_ilr_1   0.02374   0.055300 -0.088900   0.13640 +#> sigma_low        0.00305   0.004829 -0.006786   0.01289 +#> rsd_high         0.07928   0.009418  0.060100   0.09847  #>   #> Parameter correlation: -#> No covariance matrix +#>                parent_0 log_k_parent log_k_m1 f_parent_ilr_1 sigma_low rsd_high +#> parent_0        1.00000      0.67644 -0.10215       -0.76822   0.14294 -0.08783 +#> log_k_parent    0.67644      1.00000 -0.15102       -0.59491   0.34611 -0.08125 +#> log_k_m1       -0.10215     -0.15102  1.00000        0.51808  -0.05236  0.01240 +#> f_parent_ilr_1 -0.76822     -0.59491  0.51808        1.00000  -0.13900  0.03248 +#> sigma_low       0.14294      0.34611 -0.05236       -0.13900   1.00000 -0.16546 +#> rsd_high       -0.08783     -0.08125  0.01240        0.03248  -0.16546  1.00000 +#>   #> 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       1.007e+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 +#>                 Estimate  t value    Pr(>t)     Lower     Upper +#> parent_0       1.007e+02  38.4300 1.180e-28 95.400000 1.061e+02 +#> k_parent       1.006e-01 112.8000 1.718e-43  0.098760 1.024e-01 +#> k_m1           5.167e-03  10.9500 1.172e-12  0.004290 6.223e-03 +#> f_parent_to_m1 5.084e-01  26.0100 2.146e-23  0.468600 5.481e-01 +#> 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  #>   #> FOCUS Chi2 error levels in percent:  #>          err.min n.optim df | 
