lmFluo: lmFluo
In CONFESS: Cell OrderiNg by FluorEScence Signal

It estimates the optimal number of mixtures for the flexmix model on data from multiple runs.

1 2	lmFluo(data, batch, maxMix, reference, prior.pi, flex.reps, flexmethod, seed)

`data`	Numeric vector. An 1-dimensional vector of adjusted data from a single channel.
`batch`	Integer. The run number.
`maxMix`	Integer. The maximum number of components to fit into the mixture of regressions model.
`reference`	Numeric vector. Specifies the runs to be used as baseline (iteratively).
`prior.pi`	Float. The prior probability to accept a component.
`flex.reps`	Integer. The iterations of the Expectation-Maximization algorithm to estimate the flexmix model.
`flexmethod`	Character string. A method to estimate the optimal number of flexmix components. One of "BIC", "AIC", "ICL".
`seed`	Integer. An optional seed number for the Random Number Generator.