
mceta – Monte-Carlo focei?
nlmixr2 4.0 mceta Two of popular algorithms for fitting nonlinear fixed effects models in pharmacometrics are first order conditional estimation (with interaction), sometimes called focei. This is often considered a classical estimation method As time progressed, Monte-Carlo methods started being used, such as stochastic approximation estimation-maximization (saem). This uses Mote-Carlo Methods to try to find the maximum expectation of the nonlinear-mixed effects model. The new feature I am discussing is mceta for focei, which combines the Monte-Carlo sampling with focei.