estFeatureParameters {combi} | R Documentation

## Estimate the feature parameters

### Description

Estimate the feature parameters

### Usage

    estFeatureParameters(paramEsts, lambdasParams, seqSets, data,
      distributions, offsets, nCores, m, JacFeatures, meanVarTrends,
      latentVars, numVars, control, weights, compositional, indepModels, fTol,
      allowMissingness, maxItFeat, ...)

### Arguments

`paramEsts` | Current list of parameter estimates for the different views
`lambdasParams` | The lagrange multipliers
`seqSets` | A vector with view indices
`data` | A list of data matrices
`distributions` | A character vector describing the distributions
`offsets` | A list of offset matrices
`nCores` | The number of cores to use in multithreading
`m` | The dimension
`JacFeatures` | An empty Jacobian matrix
`meanVarTrends` | The mean-variance trends of the different views
`latentVars` | A vector of latent variables
`numVars` | The number of variables
`control` | A list of control arguments for the nleqslv function
`weights` | The normalization weights
`compositional` | A list of booleans indicating compositionality
`indepModels` | A list of independence model
`fTol` | A convergence tolerance
`allowMissingness` | A boolean indicating whether missing values are allowed
`maxItFeat` | An integer, the maximum number of iterations
`...` | Additional arguments passed on to the score and jacobian functions

### Value

A vector with estimates of the feature parameters

[Package combi version 0.99.15 Index]