scoreConfoundersComp {combi} | R Documentation

## Score equations for conditioning under compositionality

### Description

Score equations for conditioning under compositionality

### Usage

    scoreConfoundersComp(x, confMat, data, meanVarTrend, marginModel,
      biasReduction, allowMissingness, subtractMax = TRUE)

### Arguments

`x` | Confounder parameter estimates
`confMat` | confounder matrix
`data` | data
`meanVarTrend` | mean variance trend
`marginModel` | marginal models
`biasReduction` | A boolean, should a bias reduced estimation be applied?
`allowMissingness` | A boolean, are missing values allowed
`subtractMax` | A boolean, shuold the maximum be subtracted before softmax transformation? Recommended for numerical stability

### Value

The evaluation of the estimating equations

[Package combi version 0.99.15 Index]