buildEmptyJac: Prepare an empty Jacobian matrix, with useful entries...

View source: R/buildEmptyJac.R

buildEmptyJacR 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


CenterForStatistics-UGent/combi documentation built on Aug. 22, 2023, 11:02 p.m.