NBjacobianCol {RCM} | R Documentation

## Jacobian for the estimation of the column scores

### Description

Jacobian for the estimation of the column scores

### Usage

    NBjacobianCol(
      beta,
      X,
      reg,
      thetas,
      muMarg,
      k,
      n,
      p,
      colWeights,
      nLambda,
      cMatK,
      preFabMat,
      Jac,
      allowMissingness,
      naId
    )

### Arguments

`beta` | vector of length p+1+1+(k-1): p row scores, 1 centering, one normalization and (k-1) orhtogonality lagrangian multipliers
`X` | the nxp data matrix
`reg` | a nx1 regressor matrix: outer product of rowScores and psis
`thetas` | nxp matrix with the dispersion parameters (converted to matrix for numeric reasons)
`muMarg` | the nxp offset
`k` | an integer, the dimension of the RC solution
`n` | an integer, the number of samples
`p` | an integer, the number of taxa
`colWeights` | the weights used for the restrictions
`nLambda` | an integer, the number of restrictions
`cMatK` | the lower dimensions of the colScores
`preFabMat` | a prefab matrix, (1+X/thetas)
`Jac` | an empty Jacobian matrix
`allowMissingness` | A boolean, are missing values present
`naId` | The numeric index of the missing values in X

### Value

A matrix of dimension p+1+1+(k-1) with evaluations of the Jacobian

[Package RCM version 1.6.0 Index]