retrieveBest {REMixed} | R Documentation |
REMixed results
Description
Extracts the build minimizing an information criterion over a grid of lambda.
Usage
retrieveBest(fit, criterion = BICc)
Arguments
fit |
output of |
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)
[Package REMixed version 0.1.0 Index]