dNBllrow {RCM} | R Documentation

## A score function of the NB for the row scores

### Description

A score function of the NB for the row scores

### Usage

    dNBllrow(
      beta,
      X,
      reg,
      thetas,
      muMarg,
      k,
      n,
      p,
      rowWeights,
      nLambda,
      rMatK,
      allowMissingness,
      naId,
      ...
    )

### Arguments

`beta` | a vector of of length n + k +1 regression parameters to optimize
`X` | the data matrix of dimensions nxp
`reg` | a 1xp regressor matrix: outer product of column scores and psis
`thetas` | nxp matrix with the dispersion parameters (converted to matrix for numeric reasons)
`muMarg` | an nxp offset matrix
`k` | a scalar, the dimension of the RC solution
`n` | a scalar, the number of samples
`p` | a scalar, the number of taxa
`rowWeights` | a vector of length n, the weights used for the restrictions
`nLambda` | an integer, the number of lagrangian multipliers
`rMatK` | the lower dimension row scores
`allowMissingness` | A boolean, are missing values present
`naId` | The numeric index of the missing values in X
`...` | Other arguments passed on to the jacobian

### Value

A vector of length n + k +1 with evaluations of the derivative of the lagrangian

[Package RCM version 1.10.0 Index]