buildEmptyJac {combi} | R Documentation

## Prepare an empty Jacobian matrix, with useful entries prefilled. In case of distribution "gaussian", it returns the lhs matrix of the linear system for finding the feature paramters

### Description

Prepare an empty Jacobian matrix, with useful entries prefilled. In case of distribution "gaussian", it returns the lhs matrix of the linear system for finding the feature paramters

### Usage

    buildEmptyJac(n, m, lower, distribution = "quasi", normal = FALSE,
      nLambda1s = 1, centMat = NULL, weights = 1)

### Arguments

`n` | the number of parameters
`m` | the dimension
`lower` | the current parameter estimates
`distribution` | A character string, the distributional assumption for the data
`normal` | a boolean, are normalization restrictions in place?
`nLambda1s` | The number of centering restrictions
`centMat` | The centering matrix
`weights` | Vector of feature weights

### Value

an empty jacobian matrix, or the lhs of the system of estimating equations

[Package combi version 1.0.0 Index]