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

In CenterForStatistics-UGent/combi: Compositional omics model based visual integration

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.