R: Regularized Estimation in Mixed Effect Model

# Regularized Estimation in Mixed Effect Model

## Documentation for package ‘REMixed’ version 0.1.0

- DESCRIPTION file.

## Help Pages

AIC.remix | AIC for remix object
BIC.remix | BIC for remix object
BICc | BICc
computeFinalTest | Compute final estimation
cv.remix | REMixed algorithm over a grid of lambda
dynFUN_demo | Dynamic functions demo
eBIC | eBIC
extract | extract remix results from cvRemix object
getMLXdir | Get monolix demo project path
gh.LL | Adaptive Gauss-Hermite approximation of log-likelihood derivatives
indParm | Generate individual parameters
initStrat | Initialization strategy
model.clairon | Model from Clairon and al.,2023
model.pasin | Model from Pasin and al.,2019
model.pk | Generate trajectory of PK model
plot.cvRemix | Plot of cv.remix object
plotCalibration | Calibration plot
plotConvergence | Log-likelihood convergence
plotIC | IC plot
plotInit | Plot initialization
plotSAEM | Display the value of parameters at each iteration
readMLX | Extract Data for REMixed Algorithm from a Monolix Project
remix | REMixed algorithm
retrieveBest | REMixed results