Linear Mixed effect Model Splines ('lmms') implements linear mixed effect model splines for modelling and differential expression for highly dimensional data sets: investNoise() for quality control and filterNoise() for removing non-informative trajectories; lmmSpline() to model time course expression profiles and lmmsDE() performs differential expression analysis to identify differential expression between groups, time and/or group x time interaction.

Author | Jasmin Straube [aut, cre], Kim-Anh Le Cao [aut], Emma Huang [aut], Dominique Gorse [ctb] |

Date of publication | 2016-03-07 01:09:11 |

Maintainer | Jasmin Straube <j.straube@qfab.org> |

License | GPL (>= 2) |

Version | 1.3.3 |

**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

lmms

lmms/NAMESPACE

lmms/data

lmms/data/kidneySimTimeGroup.RData

lmms/data/datalist

lmms/R

lmms/R/AllClasses.R
lmms/R/plot.lmmspline-method.R
lmms/R/investNoise-method.R
lmms/R/lmmSpline-method.R
lmms/R/filterNoise-method.R
lmms/R/summary.lmmspline-methods.R
lmms/R/summary.lmmsde-methods.R
lmms/R/summary.noise-methods.R
lmms/R/predict.lmmspline-method.R
lmms/R/lmmsDE-method.R
lmms/R/plot.noise-method.R
lmms/R/plot.lmmsde-method.R
lmms/R/deriv.lmmspline-method.R
lmms/MD5

lmms/DESCRIPTION

lmms/man

lmms/man/lmms-class.Rd
lmms/man/summary.lmmspline.Rd
lmms/man/noise-class.Rd
lmms/man/investNoise-methods.Rd
lmms/man/lmmSpline-methods.Rd
lmms/man/plot.lmmsde.Rd
lmms/man/deriv.lmmspline.Rd
lmms/man/lmmsde-class.Rd
lmms/man/lmmsDE-methods.Rd
lmms/man/predict.lmmspline.Rd
lmms/man/lmmspline-class.Rd
lmms/man/plot.noise.Rd
lmms/man/summary.lmmsde.Rd
lmms/man/summary.noise.Rd
lmms/man/filterNoise-methods.Rd
lmms/man/lmms-package.Rd
lmms/man/plot.lmmspline.Rd
lmms/man/kidneySimTimeGroup.Rd
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