lmmspline-class


<code>lmmspline</code> class inherits from class <code>lmms</code> and extends it with three further slots: <code>predSpline</code>, <code>modelsUsed</code>, <code>models</code>. The class is returned when applying <code><a rd-options="" href="/link/lmmSpline?package=lmms&version=1.3.3" data-mini-rdoc="lmms::lmmSpline">lmmSpline</a></code> method.


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.

Jasmin Straube

lmms

Linear Mixed Effect Model Splines for Modelling and Analysis of
Time Course Data

lmmspline-class function

 <dl>
<dt><code>predSpline</code></dt><dd>A <code>data.frame</code> returning the fitted values for the time points of interest.</dd> <dt><code>models</code></dt><dd>A <code>list</code> of class <code><a rd-options="" href="/link/lm?package=lmms&version=1.3.3" data-mini-rdoc="lmms::lm">lm</a></code> or  <code><a rd-options="" href="/link/lme?package=lmms&version=1.3.3" data-mini-rdoc="lmms::lme">lme</a></code> containing the models for every molecule</dd> <dt><code>modelsUsed</code></dt><dd>A <code>list</code> of class <code>lm</code> or <code>lme</code>, containing the models used to model the particular feature of interest.</dd> <dt><code>derivative</code></dt><dd>A <code>logical</code> value indicating if the derivative was calculated.</dd> </dl>

lmmspline-class: `lmmspline` class a S4 class that extends `lmms` class.

Description

Arguments

Slots