JacCol_constr {RCM} | R Documentation

## Jacobian of the constrained analysis with linear response function.

### Description

Jacobian of the constrained analysis with linear response function.

### Usage

    JacCol_constr(betas, X, reg, theta, muMarg, psi, allowMissingness, naId)

### Arguments

`betas` | a vector of v parameters of the response function of a single taxon
`X` | the count vector of length n
`reg` | a n-by-v matrix of regressors
`theta` | The dispersion parameter of this taxon
`muMarg` | offset of length n
`psi` | a scalar, the importance parameter
`allowMissingness` | A boolean, are missing values present
`naId` | The numeric index of the missing values in X Even though this approach does not imply normalization over the parameters of all taxa, it is very fast and they can be normalized afterwards

### Value

The jacobian, a square symmetric matrix of dimension v

[Package RCM version 1.6.0 Index]