path: root/test.log

Loading mkin
Testing mkin
✔ | OK F W S | Context

⠏ |  0       | Calculation of FOCUS chi2 error levels
⠋ |  1       | Calculation of FOCUS chi2 error levels
⠙ |  2       | Calculation of FOCUS chi2 error levels
✔ |  2       | Calculation of FOCUS chi2 error levels [2.5 s]

⠏ |  0       | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠋ |  1       | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠙ |  2       | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠹ |  3       | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠸ |  4       | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠼ |  5       | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠴ |  6       | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠦ |  7       | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠧ |  8       | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠇ |  9       | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠏ | 10       | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠋ | 11       | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠙ | 12       | Results for FOCUS D established in expertise for UBA (Ranke 2014)
⠹ | 13       | Results for FOCUS D established in expertise for UBA (Ranke 2014)
✔ | 13       | Results for FOCUS D established in expertise for UBA (Ranke 2014) [8.2 s]

⠏ |  0       | Iteratively reweighted least squares (IRLS) fitting
⠋ |  1       | Iteratively reweighted least squares (IRLS) fitting
⠙ |  2       | Iteratively reweighted least squares (IRLS) fitting
⠹ |  2     1 | Iteratively reweighted least squares (IRLS) fitting
✔ |  2     1 | Iteratively reweighted least squares (IRLS) fitting [16.3 s]
────────────────────────────────────────────────────────────────────────────────
test_irls.R:48: skip: Reweighting method 'tc' works
Too much trouble with datasets that are randomly generated
────────────────────────────────────────────────────────────────────────────────

⠏ |  0       | Fitting the logistic model
⠋ |  1       | Fitting the logistic model
⠙ |  1     1 | Fitting the logistic model
✔ |  1     1 | Fitting the logistic model [0.5 s]
────────────────────────────────────────────────────────────────────────────────
test_logistic.R:41: skip: The logistic fit can be done via differential equation
Skip slow fit of logistic model using deSolve without compilation
────────────────────────────────────────────────────────────────────────────────

⠏ |  0       | Model predictions with mkinpredict
⠋ |  1       | Model predictions with mkinpredict
⠙ |  2       | Model predictions with mkinpredict
⠹ |  3       | Model predictions with mkinpredict
✔ |  3       | Model predictions with mkinpredict [0.3 s]

⠏ |  0       | Evaluations according to 2015 NAFTA guidance
⠋ |  1       | Evaluations according to 2015 NAFTA guidance
⠙ |  1   1   | Evaluations according to 2015 NAFTA guidance
⠙ |  2       | Evaluations according to 2015 NAFTA guidance
⠹ |  3       | Evaluations according to 2015 NAFTA guidance
⠸ |  4       | Evaluations according to 2015 NAFTA guidance
⠼ |  5       | Evaluations according to 2015 NAFTA guidance
⠴ |  6       | Evaluations according to 2015 NAFTA guidance
⠦ |  7       | Evaluations according to 2015 NAFTA guidance
⠧ |  8       | Evaluations according to 2015 NAFTA guidance
⠇ |  9       | Evaluations according to 2015 NAFTA guidance
✔ |  9       | Evaluations according to 2015 NAFTA guidance [0.9 s]

⠏ |  0       | Fitting of parent only models
⠋ |  1       | Fitting of parent only models
⠙ |  2       | Fitting of parent only models
⠹ |  3       | Fitting of parent only models
⠸ |  4       | Fitting of parent only models
⠼ |  5       | Fitting of parent only models
⠴ |  6       | Fitting of parent only models
⠦ |  7       | Fitting of parent only models
⠧ |  8       | Fitting of parent only models
⠇ |  9       | Fitting of parent only models
⠏ | 10       | Fitting of parent only models
⠋ | 11       | Fitting of parent only models
⠙ | 12       | Fitting of parent only models
⠹ | 13       | Fitting of parent only models
⠸ | 14       | Fitting of parent only models
⠼ | 15       | Fitting of parent only models
⠴ | 16       | Fitting of parent only models
⠦ | 17       | Fitting of parent only models
⠧ | 18       | Fitting of parent only models
⠇ | 19       | Fitting of parent only models
⠏ | 20       | Fitting of parent only models
⠋ | 21       | Fitting of parent only models
✔ | 21       | Fitting of parent only models [24.1 s]

⠏ |  0       | Calculation of maximum time weighted average concentrations (TWAs)
⠋ |  1       | Calculation of maximum time weighted average concentrations (TWAs)
⠙ |  2       | Calculation of maximum time weighted average concentrations (TWAs)
⠹ |  3       | Calculation of maximum time weighted average concentrations (TWAs)
⠸ |  4       | Calculation of maximum time weighted average concentrations (TWAs)
⠼ |  5       | Calculation of maximum time weighted average concentrations (TWAs)
⠴ |  6       | Calculation of maximum time weighted average concentrations (TWAs)
⠦ |  7       | Calculation of maximum time weighted average concentrations (TWAs)
⠧ |  8       | Calculation of maximum time weighted average concentrations (TWAs)
✔ |  8       | Calculation of maximum time weighted average concentrations (TWAs) [7.3 s]

⠏ |  0       | Summary
⠋ |  1       | Summary
✔ |  1       | Summary

⠏ |  0       | Plotting
⠋ |  1       | Plotting
⠙ |  2       | Plotting
⠹ |  3       | Plotting
✔ |  3       | Plotting [0.3 s]

⠏ |  0       | Calculation of maximum time weighted average concentrations (TWAs)
⠋ |  1       | Calculation of maximum time weighted average concentrations (TWAs)
⠙ |  2       | Calculation of maximum time weighted average concentrations (TWAs)
⠹ |  3       | Calculation of maximum time weighted average concentrations (TWAs)
⠸ |  4       | Calculation of maximum time weighted average concentrations (TWAs)
⠼ |  5       | Calculation of maximum time weighted average concentrations (TWAs)
⠴ |  6       | Calculation of maximum time weighted average concentrations (TWAs)
⠦ |  7       | Calculation of maximum time weighted average concentrations (TWAs)
⠧ |  8       | Calculation of maximum time weighted average concentrations (TWAs)
✔ |  8       | Calculation of maximum time weighted average concentrations (TWAs) [7.2 s]

⠏ |  0       | Plotting
⠋ |  1       | Plotting
⠙ |  2       | Plotting
⠹ |  3       | Plotting
✔ |  3       | Plotting [0.2 s]

⠏ |  0       | Complex test case from Schaefer et al. (2007) Piacenza paper
⠋ |  1       | Complex test case from Schaefer et al. (2007) Piacenza paper
⠙ |  2       | Complex test case from Schaefer et al. (2007) Piacenza paper
✔ |  2       | Complex test case from Schaefer et al. (2007) Piacenza paper [6.0 s]

⠏ |  0       | Results for synthetic data established in expertise for UBA (Ranke 2014)
⠋ |  1       | Results for synthetic data established in expertise for UBA (Ranke 2014)
⠙ |  2       | Results for synthetic data established in expertise for UBA (Ranke 2014)
⠹ |  3       | Results for synthetic data established in expertise for UBA (Ranke 2014)
⠸ |  4       | Results for synthetic data established in expertise for UBA (Ranke 2014)
✔ |  4       | Results for synthetic data established in expertise for UBA (Ranke 2014) [7.5 s]

══ Results ═════════════════════════════════════════════════════════════════════
Duration: 83.6 s

OK:       80
Failed:   0
Warnings: 0
Skipped:  2