retrieveBest: REMixed results

In REMixed: Regularized Estimation in Mixed Effects Model

REMixed results

Description

Extracts the build minimizing an information criterion over a grid of lambda.

Usage

retrieveBest(fit, criterion = BICc)

Arguments

fit	output of cv.remix;
criterion	which criterion function to take into account. Default is the function 'BICc", but one can use 'BIC', 'AIC', 'eBIC' or any function depending on a 'cvRemix' object.

Value

outputs from remix algorithm achieving the best IC among those computed by cv.remix.

See Also

cv.remix, remix, BIC.remix, eBIC, AIC.remix, BICc.

Examples

## Not run: 
project <- getMLXdir()

ObsModel.transfo = list(S=list(AB=log10),
                        linkS="yAB",
                        R=rep(list(S=function(x){x}),5),
                        linkR = paste0("yG",1:5))

alpha=list(alpha0=NULL,
           alpha1=setNames(paste0("alpha_1",1:5),paste0("yG",1:5)))

y = c(S=5,AB=1000)

cv.outputs = cv.Remix(project = project,
            dynFUN = dynFUN_demo,
            y = y,
            ObsModel.transfo = ObsModel.transfo,
            alpha = alpha,
            selfInit = TRUE,
            eps1=10**(-2),
            ncores=8,
            eps2=1)

res <- retrieveBest(cv.outputs)

plotConvergence(res)

trueValue = read.csv(paste0(dirname(project),"/demoSMLX/Simulation/populationParameters.txt"))#'

plotSAEM(res,paramToPlot = c("delta_S_pop","phi_S_pop","delta_AB_pop"),trueValue=trueValue)

## End(Not run)

REMixed documentation built on Jan. 19, 2026, 5:07 p.m.