Data-driven linear mixed effect model spline modelling

The class `noise`

is returned when applying `investNoise`

method.

`name`

`character`

vector. The name of the trajectory.`RT`

A

`numeric`

vector, containing the time to molecule standard deviation ratios for every trajectory.`RI`

A

`numeric`

vector, containing the individual to molecule standard deviation ratios for every trajectory.`propMissing`

A

`numeric`

vector, containing the proportion of missing values for every trajectory.`foldChange`

A

`numeric`

vector, containing the maximum fold change of the mean between any two time points.

lmms documentation built on May 29, 2017, 8:40 p.m.

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