Linear mixed effect model splines for modelling and analysis of time course data

Documentation for package ‘lmms’ version 1.2

lmms-package	Data-driven mixed effect model splines fit and differential expression analysis
deriv.lmmspline	Derivative information for 'lmmspline' objects
filterNoise	Filter non-informative trajectories
filterNoise-method	Filter non-informative trajectories
investNoise	Quality control for time course profiles
investNoise-method	Quality control for time course profiles
kidneySimTimeGroup	Kidney Simulation Data
lmms	Data-driven mixed effect model splines fit and differential expression analysis
lmms-class	'lmms' class a S4 superclass to extend 'lmmspline' and 'lmmsde' class.
lmmsDE	Differential expression analysis using linear mixed effect model splines.
lmmsde-class	'lmmsde' class a S4 class that extends 'lmms' class.
lmmSpline	Data-driven linear mixed effect model spline modelling
lmmSpline,matrixOrFrame,numeric,factorOrcharacterOrnumeric,	Data-driven linear mixed effect model spline modelling
lmmspline-class	'lmmspline' class a S4 class that extends 'lmms' class.
lmmSpline-method	Data-driven linear mixed effect model spline modelling
missingOrlogical-method	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