Man pages for lmms
Linear Mixed Effect Model Splines for Modelling and Analysis of Time Course Data
| deriv.lmmspline | Derivative information for 'lmmspline' objects |
| filterNoise-methods | Filter non-informative trajectories |
| investNoise-methods | Quality control for time course profiles |
| kidneySimTimeGroup | Kidney Simulation Data |
| lmms-class | 'lmms' class a S4 superclass to extend 'lmmspline' and... |
| lmmsde-class | 'lmmsde' class a S4 class that extends 'lmms' class. |
| lmmsDE-methods | Differential expression analysis using linear mixed effect... |
| lmms-package | Data-driven mixed effect model splines fit and differential... |
| lmmspline-class | 'lmmspline' class a S4 class that extends 'lmms' class. |
| lmmSpline-methods | Data-driven linear mixed effect model spline modelling |
| noise-class | 'noise' S4 class |
| plot.lmmsde | Plot of 'lmmsde' objects |
| plot.lmmspline | Plot of 'lmmspline' object |
| plot.noise | Plot of 'associations' objects |
| predict.lmmspline | Predicts fitted values of an 'lmmspline' Object |
| summary.lmmsde | Summary of a 'lmmsde' Object |
| summary.lmmspline | Summary of a 'lmmspline' Object |
| summary.noise | Summary of a 'noise' Object |
