jacConfoundersComp: Jacobian for conditioning under compositionality

View source: R/jacConfoundersComp.R

jacConfoundersCompR Documentation

Jacobian for conditioning under compositionality

Description

Jacobian for conditioning under compositionality

Usage

jacConfoundersComp(
  x,
  confMat,
  data,
  meanVarTrend,
  marginModel,
  allowMissingness,
  biasReduction,
  subtractMax = TRUE
)

Arguments

x

the parameter estimates

confMat, data, meanVarTrend

arguments belonging to views

marginModel, biasReduction, subtractMax

The marginal mode, and booleans indicating bias reduction and maximum subtraction

allowMissingness

a boolean, should missing values be allowed

Value

the jacobian matrix


CenterForStatistics-UGent/compIntegrate documentation built on Aug. 4, 2023, 1:08 p.m.