Fig. 5
From: lmerSeq: an R package for analyzing transformed RNA-Seq data with linear mixed effects models
Histograms of the p values for the null features across all datasets in Simulation 2 for the models with the most correct specification of fixed and random effects at \(N=10\) subjects per group. For both DREAM and lmerSeq the fixed and random effects structures were able to exactly match the simulated data, while rmRNAseq could only match the correct fixed effects since it only offers CAR for modeling correlation between observations. Cont continuous time, RI random intercept, RS random slope, CAR continuous auto regressive