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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)
✔ | 8 | Results for FOCUS D established in expertise for UBA (Ranke 2014) [7.2 s]
⠏ | 0 | Iteratively reweighted least squares (IRLS) fitting
⠋ | 1 | Iteratively reweighted least squares (IRLS) fitting
⠙ | 1 1 | Iteratively reweighted least squares (IRLS) fitting
✔ | 1 1 | Iteratively reweighted least squares (IRLS) fitting [9.0 s]
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test_irls.R:44: skip: Reweighting method 'tc' works
Too much trouble with datasets that are randomly generated
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⠏ | 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]
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test_logistic.R:42: skip: The logistic fit can be done via differential equation
Skip slow fit of logistic model using deSolve without compilation
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⠏ | 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 | 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 [23.9 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]
⠏ | 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) [8.4 s]
══ Results ═════════════════════════════════════════════════════════════════════
Duration: 65.5 s
OK: 50
Failed: 0
Warnings: 0
Skipped: 2
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