diff options
Diffstat (limited to 'tests/testthat/summary_DFOP_FOCUS_C.txt')
-rw-r--r-- | tests/testthat/summary_DFOP_FOCUS_C.txt | 48 |
1 files changed, 26 insertions, 22 deletions
diff --git a/tests/testthat/summary_DFOP_FOCUS_C.txt b/tests/testthat/summary_DFOP_FOCUS_C.txt index 33d55ebc..1d669d43 100644 --- a/tests/testthat/summary_DFOP_FOCUS_C.txt +++ b/tests/testthat/summary_DFOP_FOCUS_C.txt @@ -10,16 +10,18 @@ d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 * Model predictions using solution type analytical -Fitted with method Port using test 0 model solutions performed in test time 0 s +Fitted with method using test 0 model solutions performed in test time 0 s -Weighting: none +Error model: +NULL Starting values for parameters to be optimised: - value type -parent_0 85.10 state -k1 0.10 deparm -k2 0.01 deparm -g 0.50 deparm + value type +parent_0 85.100000 state +k1 0.100000 deparm +k2 0.010000 deparm +g 0.500000 deparm +sigma 0.696237 error Starting values for the transformed parameters actually optimised: value lower upper @@ -27,35 +29,37 @@ parent_0 85.100000 -Inf Inf log_k1 -2.302585 -Inf Inf log_k2 -4.605170 -Inf Inf g_ilr 0.000000 -Inf Inf +sigma 0.696237 0 Inf Fixed parameter values: None Optimised, transformed parameters with symmetric confidence intervals: Estimate Std. Error Lower Upper -parent_0 85.0000 0.89070 82.7100 87.2900 -log_k1 -0.7775 0.04430 -0.8914 -0.6636 -log_k2 -4.0260 0.17030 -4.4640 -3.5880 -g_ilr 1.2490 0.07619 1.0530 1.4450 +parent_0 85.0000 0.66620 83.1500 86.8500 +log_k1 -0.7775 0.03380 -0.8713 -0.6836 +log_k2 -4.0260 0.13100 -4.3890 -3.6620 +g_ilr 1.2490 0.05811 1.0870 1.4100 +sigma 0.6962 0.16410 0.2406 1.1520 Parameter correlation: - parent_0 log_k1 log_k2 g_ilr -parent_0 1.00000 0.4338 0.07924 -0.01897 -log_k1 0.43380 1.0000 0.46567 -0.66010 -log_k2 0.07924 0.4657 1.00000 -0.74183 -g_ilr -0.01897 -0.6601 -0.74183 1.00000 - -Residual standard error: 0.9341 on 5 degrees of freedom + parent_0 log_k1 log_k2 g_ilr sigma +parent_0 1.000e+00 4.393e-01 8.805e-02 -3.176e-02 5.405e-07 +log_k1 4.393e-01 1.000e+00 4.821e-01 -6.716e-01 4.395e-07 +log_k2 8.805e-02 4.821e-01 1.000e+00 -7.532e-01 -1.151e-07 +g_ilr -3.176e-02 -6.716e-01 -7.532e-01 1.000e+00 -2.142e-08 +sigma 5.405e-07 4.395e-07 -1.151e-07 -2.142e-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 85.00000 95.440 1.197e-09 82.71000 87.29000 -k1 0.45960 22.570 1.586e-06 0.41010 0.51500 -k2 0.01785 5.873 1.016e-03 0.01152 0.02765 -g 0.85390 63.540 9.135e-09 0.81590 0.88520 +parent_0 85.00000 127.600 1.131e-08 83.15000 86.85000 +k1 0.45960 29.580 3.887e-06 0.41840 0.50480 +k2 0.01785 7.636 7.901e-04 0.01241 0.02568 +g 0.85390 83.310 6.221e-08 0.82310 0.88020 +sigma 0.69620 4.243 6.618e-03 0.24060 1.15200 Chi2 error levels in percent: err.min n.optim df |