R/2.7.fittingGradientGLSC2.R

In Mmcsd: Modeling Complex Longitudinal Data in a Quick and Easy Way

fittingGradientGLSC2 <- function(derivativesExprList, sigmaThetaExprList, fit) {
  function(params) {
    sigmaTheta <- evalSigmaThetaExprList(sigmaThetaExprList, as.list(params))
    derivSigmaThetaList <- evalDerivSigmaThetaExprList(derivativesExprList, sigmaThetaExprList, as.list(params))

    gradient <- sapply(derivSigmaThetaList, function(derivSigmaThetaj) {
      sum(diag((solve(fit$sigmaHat) %*% sigmaTheta - diag(1, nrow = fit$info$T)) %*% solve(fit$sigmaHat) %*% derivSigmaThetaj))
    })

    return(gradient)
  }
}