From 630e657f1794ea441afc9ff10663309fec5e847e Mon Sep 17 00:00:00 2001
From: Johannes Ranke
Date: Tue, 1 Nov 2022 14:16:21 +0100
Subject: Update online docs
---
docs/dev/reference/summary.saem.mmkin.html | 39 ++++++++++++++++++------------
1 file changed, 23 insertions(+), 16 deletions(-)
(limited to 'docs/dev/reference/summary.saem.mmkin.html')
diff --git a/docs/dev/reference/summary.saem.mmkin.html b/docs/dev/reference/summary.saem.mmkin.html
index 1a6da753..d8a41356 100644
--- a/docs/dev/reference/summary.saem.mmkin.html
+++ b/docs/dev/reference/summary.saem.mmkin.html
@@ -21,7 +21,7 @@ endpoints such as formation fractions and DT50 values. Optionally
mkin
- 1.1.2
+ 1.2.0
@@ -48,11 +48,14 @@ endpoints such as formation fractions and DT50 values. Optionally
Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models
- Example evaluation of FOCUS Example Dataset Z
+ Short demo of the multistart method
Performance benefit by using compiled model definitions in mkin
+
+ Example evaluation of FOCUS Example Dataset Z
+
Calculation of time weighted average concentrations with mkin
@@ -262,7 +265,6 @@ saemix authors for the parts inherited from saemix.
#> [1] "sd(parent_0)" "sd(log_k_m1)" "sd(g_qlogis)"
f_saem_dfop_sfo_2 <- update(f_saem_dfop_sfo, covariance.model = diag(c(0, 0, 1, 1, 1, 0)))
illparms(f_saem_dfop_sfo_2)
-#> character(0)
intervals(f_saem_dfop_sfo_2)
#> Approximate 95% confidence intervals
#>
@@ -286,11 +288,11 @@ saemix authors for the parts inherited from saemix.
#> a.1 0.70273100 0.88750764 1.07228428
#> b.1 0.06781347 0.08328016 0.09874685
summary(f_saem_dfop_sfo_2, data = TRUE)
-#> saemix version used for fitting: 3.1
-#> mkin version used for pre-fitting: 1.1.2
-#> R version used for fitting: 4.2.1
-#> Date of fit: Fri Sep 16 10:31:33 2022
-#> Date of summary: Fri Sep 16 10:31:33 2022
+#> saemix version used for fitting: 3.2
+#> mkin version used for pre-fitting: 1.2.0
+#> R version used for fitting: 4.2.2
+#> Date of fit: Tue Nov 1 14:12:50 2022
+#> Date of summary: Tue Nov 1 14:12:50 2022
#>
#> Equations:
#> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
@@ -305,7 +307,7 @@ saemix authors for the parts inherited from saemix.
#>
#> Model predictions using solution type analytical
#>
-#> Fitted in 27.615 s
+#> Fitted in 25.006 s
#> Using 300, 100 iterations and 10 chains
#>
#> Variance model: Two-component variance function
@@ -326,13 +328,18 @@ saemix authors for the parts inherited from saemix.
#> 825.6 821.3 -401.8
#>
#> Optimised parameters:
-#> est. lower upper
-#> parent_0 100.4624 97.5484 103.3763
-#> log_k_m1 -4.0576 -4.1504 -3.9647
-#> f_parent_qlogis -0.9136 -1.3240 -0.5031
-#> log_k1 -2.8822 -3.6302 -2.1341
-#> log_k2 -3.6307 -4.3226 -2.9388
-#> g_qlogis 0.0519 -0.7783 0.8821
+#> est. lower upper
+#> parent_0 100.46239 97.54845 103.37634
+#> log_k_m1 -4.05756 -4.15040 -3.96472
+#> f_parent_qlogis -0.91358 -1.32403 -0.50312
+#> log_k1 -2.88215 -3.63019 -2.13412
+#> log_k2 -3.63069 -4.32261 -2.93876
+#> g_qlogis 0.05190 -0.77834 0.88213
+#> a.1 0.88751 0.70273 1.07228
+#> b.1 0.08328 0.06781 0.09875
+#> SD.f_parent_qlogis 0.44712 0.16584 0.72840
+#> SD.log_k1 0.79292 0.27688 1.30896
+#> SD.log_k2 0.75661 0.26936 1.24386
#>
#> Correlation:
#> parnt_0 lg_k_m1 f_prnt_ log_k1 log_k2
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