estIndepModel {combi} | R Documentation

## Estimate the independence model belonging to one view

### Description

Estimate the independence model belonging to one view

### Usage

    estIndepModel(data, distribution, compositional, maxIt, tol, link, invLink,
      meanVarFit, newtonRaphson, dispFreq, ...)

### Arguments

`data` | a list of data matrices with the same number of samples n in the rows. Also phyloseq objects are acceptable
`distribution` | a character string describing which distributional assumption should be used.
`compositional` | A logical indicating if the dataset should be treated as compositional
`maxIt` | an integer, the maximum number of iterations
`tol` | A small scalar, the convergence tolerance
`link, invLink` | link and inverse link function
`meanVarFit` | mean variance model
`newtonRaphson` | a boolean, should newton-raphson be used
`dispFreq` | An integer, frequency of dispersion estimation
`...` | passed on to the estOff() function

### Value

A list with elements

`rowOff` | The row offsets
`colOff` | The column offsets
`converged` | A logical flag, indicating whether the fit converged
`iter` | An integer, the number of iterations

[Package combi version 1.0.0 Index]