From 137612045c23198f10d6e8612c32e266c2a6c00e Mon Sep 17 00:00:00 2001
From: Johannes Ranke
Date: Thu, 29 Jul 2021 12:17:56 +0200
Subject: Go back to 1.0.x version, update docs
---
docs/dev/reference/dimethenamid_2018.html | 32 +++++++++++++++----------------
1 file changed, 16 insertions(+), 16 deletions(-)
(limited to 'docs/dev/reference/dimethenamid_2018.html')
diff --git a/docs/dev/reference/dimethenamid_2018.html b/docs/dev/reference/dimethenamid_2018.html
index 160dcaa3..c893da63 100644
--- a/docs/dev/reference/dimethenamid_2018.html
+++ b/docs/dev/reference/dimethenamid_2018.html
@@ -77,7 +77,7 @@ constrained by data protection regulations." />
mkin
- 1.1.0
+ 1.0.5
@@ -295,7 +295,7 @@ specific pieces of information in the comments.
#> M31 ~ add(sigma_low_M31) + prop(rsd_high_M31)
#> })
#> }
-#> <environment: 0x555559c00ce8># The focei fit takes about four minutes on my system
+#> <environment: 0x555559bfc940>
#> ℹ parameter labels from comments are typically ignored in non-interactive mode
#> ℹ Need to run with the source intact to parse comments
#> → creating full model...
#> → pruning branches (`if`/`else`)...
#> ✔ done
#> → loading into symengine environment...
#> ✔ done
#> → creating full model...
#> → pruning branches (`if`/`else`)...
#> ✔ done
#> → loading into symengine environment...
#> ✔ done
#> → calculate jacobian
#> [====|====|====|====|====|====|====|====|====|====] 0:00:02
#>
#> → calculate sensitivities
#> [====|====|====|====|====|====|====|====|====|====] 0:00:04
#>
#> → calculate ∂(f)/∂(η)
#> [====|====|====|====|====|====|====|====|====|====] 0:00:01
-#>
#> → calculate ∂(R²)/∂(η)
#> [====|====|====|====|====|====|====|====|====|====] 0:00:08
+#>
#> → calculate ∂(R²)/∂(η)
#> [====|====|====|====|====|====|====|====|====|====] 0:00:09
#>
#> → finding duplicate expressions in inner model...
#> [====|====|====|====|====|====|====|====|====|====] 0:00:07
#>
#> → optimizing duplicate expressions in inner model...
#> [====|====|====|====|====|====|====|====|====|====] 0:00:07
#>
#> → finding duplicate expressions in EBE model...
#> [====|====|====|====|====|====|====|====|====|====] 0:00:00
@@ -324,12 +324,12 @@ specific pieces of information in the comments.
#> |.....................| o9 | o10 |...........|...........|
#> calculating covariance matrix
#> done
#> Calculating residuals/tables
#> done
#> Warning: initial ETAs were nudged; (can control by foceiControl(etaNudge=., etaNudge2=))
#> Warning: last objective function was not at minimum, possible problems in optimization
#> Warning: S matrix non-positive definite
#> Warning: using R matrix to calculate covariance
#> Warning: gradient problems with initial estimate and covariance; see $scaleInfo
#> user system elapsed
-#> 227.879 9.742 237.728
#> nlmixr version used for fitting: 2.0.4
-#> mkin version used for pre-fitting: 1.1.0
+#> mkin version used for pre-fitting: 1.0.5
#> R version used for fitting: 4.1.0
-#> Date of fit: Tue Jul 27 16:02:33 2021
-#> Date of summary: Tue Jul 27 16:02:34 2021
+#> Date of fit: Thu Jul 29 11:45:46 2021
+#> Date of summary: Thu Jul 29 11:45:46 2021
#>
#> Equations:
#> d_DMTA/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
@@ -350,7 +350,7 @@ specific pieces of information in the comments.
#>
#> Degradation model predictions using RxODE
#>
-#> Fitted in 237.547 s
+#> Fitted in 235.457 s
#>
#> Variance model: Two-component variance function
#>
@@ -489,11 +489,11 @@ specific pieces of information in the comments.
f_dmta_saemix <- saem(f_dmta_mkin_tc, test_log_parms
= TRUE)
)
#> Running main SAEM algorithm
-#> [1] "Tue Jul 27 16:02:34 2021"
+#> [1] "Thu Jul 29 11:45:47 2021"
#> ....
#> Minimisation finished
-#> [1] "Tue Jul 27 16:21:39 2021"
#> user system elapsed
-#> 1213.394 0.087 1213.578
+#> [1] "Thu Jul 29 12:04:25 2021"
#> user system elapsed
+#> 1185.594 0.028 1185.687
# nlmixr with est = "saem" is pretty fast with default iteration numbers, most
# of the time (about 2.5 minutes) is spent for calculating the log likelihood at the end
# The likelihood calculated for the nlmixr fit is much lower than that found by saemix
@@ -506,13 +506,13 @@ specific pieces of information in the comments.
)
#> With est = 'saem', a different error model is required for each observed variableChanging the error model to 'obs_tc' (Two-component error for each observed variable)
#> ℹ parameter labels from comments are typically ignored in non-interactive mode
#> ℹ Need to run with the source intact to parse comments
#>
#> → generate SAEM model
#> ✔ done
#> 1: 98.3427 -3.5148 -3.3187 -3.7728 -2.1163 -2.8457 0.9482 -2.8064 -2.7412 -2.8745 2.7912 0.6805 0.8213 0.8055 0.8578 1.4980 2.9309 0.2850 0.2854 0.2850 4.0990 0.3821 3.5349 0.6537 5.4143 0.0002 4.5093 0.1905
#> 500: 97.8277 -4.3506 -4.0318 -4.1520 -3.0553 -3.5843 1.1326 -2.0873 -2.0421 -2.0751 0.2960 1.2515 0.2531 0.3807 0.7928 0.8863 6.5211 0.1433 0.1082 0.3353 0.8960 0.0470 0.7501 0.0475 0.9527 0.0281 0.7321 0.0594
#> Calculating covariance matrix
#>
#> Calculating -2LL by Gaussian quadrature (nnodes=3,nsd=1.6)
#>
#> → creating full model...
#> → pruning branches (`if`/`else`)...
#> ✔ done
#> → loading into symengine environment...
#> ✔ done
#> → compiling EBE model...
#>
#> ✔ done
#> Needed Covariates:
#> [1] "CMT"
#> Calculating residuals/tables
#> done
#> user system elapsed
-#> 818.782 3.808 154.926
traceplot(f_dmta_nlmixr_saem$nm)
+#> 809.956 4.286 156.438
traceplot(f_dmta_nlmixr_saem$nm)
#> Error in traceplot(f_dmta_nlmixr_saem$nm): could not find function "traceplot"
#> nlmixr version used for fitting: 2.0.4
-#> mkin version used for pre-fitting: 1.1.0
+#> mkin version used for pre-fitting: 1.0.5
#> R version used for fitting: 4.1.0
-#> Date of fit: Tue Jul 27 16:25:23 2021
-#> Date of summary: Tue Jul 27 16:25:23 2021
+#> Date of fit: Thu Jul 29 12:08:09 2021
+#> Date of summary: Thu Jul 29 12:08:09 2021
#>
#> Equations:
#> d_DMTA/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
@@ -533,7 +533,7 @@ specific pieces of information in the comments.
#>
#> Degradation model predictions using RxODE
#>
-#> Fitted in 154.632 s
+#> Fitted in 156.17 s
#>
#> Variance model: Two-component variance function
#>
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