lmFluo {CONFESS} | R Documentation

## lmFluo

### Description

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

### Usage

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

### Arguments

`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.

### Value

The flexmix mixture components and other statistics

[Package CONFESS version 1.16.0 Index]