shorts_mixed_model
objectR/shorts_S3.R
summary.shorts_mixed_model.Rd
S3 method for providing summary for the shorts_mixed_model
object
# S3 method for shorts_mixed_model summary(object, ...)
object |
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... | Not used |
data("split_times") mixed_model <- mixed_model_using_splits( data = split_times, distance = "distance", time = "time", athlete = "athlete" ) summary(mixed_model)#> Nonlinear mixed-effects model fit by maximum likelihood #> Model: corrected_time ~ TAU * I(LambertW::W(-exp(1)^(-distance/(MSS * TAU) - 1))) + distance/MSS + TAU #> Data: train #> AIC BIC logLik #> -75.06719 -66.66001 43.5336 #> #> Random effects: #> Formula: list(MSS ~ 1, TAU ~ 1) #> Level: athlete #> Structure: General positive-definite, Log-Cholesky parametrization #> StdDev Corr #> MSS 1.06581655 MSS #> TAU 0.17821114 0.877 #> Residual 0.02600213 #> #> Fixed effects: MSS + TAU ~ 1 #> Value Std.Error DF t-value p-value #> MSS 8.064911 0.4949104 24 16.295699 0 #> TAU 0.655199 0.0837593 24 7.822404 0 #> Correlation: #> MSS #> TAU 0.874 #> #> Standardized Within-Group Residuals: #> Min Q1 Med Q3 Max #> -1.9092981 -0.6050683 0.1536529 0.5226467 1.1285687 #> #> Number of Observations: 30 #> Number of Groups: 5