Creates a summary of an lmm object
Usage
# S3 method for class 'lmm'
summary(object, ...)Examples
mel1 <- tumr(melanoma1, ID, Day, Volume, Treatment)
mel1_lmm <- lmm(mel1)
#> Warning: Model failed to converge with max|grad| = 0.3043 (tol = 0.002, component 1)
#> See ?lme4::convergence and ?lme4::troubleshooting.
summary(mel1_lmm)
#> $`overall effect of time`
#> 1 Day.trend SE df lower.CL upper.CL
#> overall 0.0324 0.00467 33.8 0.0229 0.0419
#>
#> Results are averaged over the levels of: Treatment
#> Degrees-of-freedom method: kenward-roger
#> Confidence level used: 0.95
#>
#> $`slope of treatment over time`
#> Treatment Day.trend SE df lower.CL upper.CL
#> A 0.0642 0.01010 50.2 0.0438 0.084541
#> B 0.0217 0.00823 22.8 0.0047 0.038767
#> C 0.0611 0.01020 45.6 0.0405 0.081744
#> D -0.0174 0.00860 21.7 -0.0352 0.000469
#>
#> Degrees-of-freedom method: kenward-roger
#> Confidence level used: 0.95
#>
#> $`test slope differences`
#> contrast estimate SE df t.ratio p.value
#> A - B 0.04243 0.0131 35.4 3.248 0.0130
#> A - C 0.00302 0.0144 47.8 0.210 0.9967
#> A - D 0.08154 0.0133 33.9 6.131 <0.0001
#> B - C -0.03941 0.0131 33.7 -3.001 0.0247
#> B - D 0.03911 0.0119 22.2 3.286 0.0164
#> C - D 0.07852 0.0134 32.4 5.875 <0.0001
#>
#> Degrees-of-freedom method: kenward-roger
#> P value adjustment: tukey method for comparing a family of 4 estimates
#>