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.
| Version: | 1.3.3 |
| Depends: | R (≥ 3.0.0), ggplot2 |
| Imports: | stats, methods, nlme, lmeSplines, parallel, reshape2, gdata, gplots, gridExtra |
| Published: | 2016-03-07 |
| Author: | Jasmin Straube [aut, cre], Kim-Anh Le Cao [aut], Emma Huang [aut], Dominique Gorse [ctb] |
| Maintainer: | Jasmin Straube <j.straube at qfab.org> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | lmms results |
| Reference manual: | lmms.pdf |
| Package source: | lmms_1.3.3.tar.gz |
| Windows binaries: | r-devel: lmms_1.3.3.zip, r-release: lmms_1.3.3.zip, r-oldrel: lmms_1.3.3.zip |
| OS X binaries: | r-release: lmms_1.3.3.tgz, r-oldrel: lmms_1.3.3.tgz |
| Old sources: | lmms archive |
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