Linear mixed-effects model fit by REML Data: d AIC BIC logLik 737.8064 771.0691 -357.9032 Random effects: Formula: ~1 | calf (Intercept) Residual StdDev: 5.324848 1.85135 Correlation Structure: AR(1) Formula: ~visit_index | calf Parameter estimate(s): Phi 0.4160279 Fixed effects: weight_kg ~ diet * week + I(week^2) + room Value Std.Error DF t-value p-value (Intercept) 38.54645 2.1790112 125 17.689882 0.0000 dietEnhanced 0.19987 1.9768356 27 0.101104 0.9202 week 5.40378 0.1748254 125 30.909576 0.0000 I(week^2) -0.10741 0.0194670 125 -5.517599 0.0000 roomR2 -0.10715 2.7224800 27 -0.039356 0.9689 roomR3 2.07494 2.7224800 27 0.762152 0.4526 roomR4 3.82653 2.7224800 27 1.405531 0.1713 dietEnhanced:week 0.41318 0.1123416 125 3.677918 0.0003 Correlation: (Intr) dtEnhn week I(w^2) roomR2 roomR3 roomR4 dietEnhanced -0.454 week -0.116 0.073 I(week^2) 0.056 0.000 -0.891 roomR2 -0.625 0.000 0.000 0.000 roomR3 -0.625 0.000 0.000 0.000 0.500 roomR4 -0.625 0.000 0.000 0.000 0.500 0.500 dietEnhanced:week 0.103 -0.227 -0.321 0.000 0.000 0.000 0.000 Standardized Within-Group Residuals: Min Q1 Med Q3 Max -1.91591554 -0.52932423 0.08089803 0.56175374 1.99329556 Number of Observations: 160 Number of Groups: 32 calf = pdLogChol(1) Variance StdDev (Intercept) 28.354002 5.324848 Residual 3.427495 1.851350 df AIC curved_ml 10 747.5685 ar1_ml 11 740.5392 Estimate Std. Error z Pr(>|z|) S 2.5 % 97.5 % 3.51 1.98 1.77 0.0762 3.7 -0.369 7.38 Term: diet Type: response Comparison: Enhanced - Control Same week-8 question; changed within-calf dependence assumption. Approximate 95% intervals concern mean differences, not individual future weights.