pd_cluster_profile: Run profiles on cluster

View source: R/dMod-pd.R

pd_cluster_profileR Documentation

Run profiles on cluster

Description

Will profile the parameters stored in pd$pars

Usage

pd_cluster_profile(
  pd,
  .outputFolder,
  FLAGforcePurge = FALSE,
  FLAGfixParsOnBoundary = TRUE,
  profpars = names(pd$pars),
  passwdEnv = Sys.getenv("hurensohn"),
  machine = "cluster"
)

Arguments

pd
.outputFolder
FLAGforcePurge
FLAGfixParsOnBoundary

Fix parameters which went to the boundary. Don't fit and don't use for reoptimization. A bit heuristic, but dMod::profile() does not support boundaries. Therefore, if those parameters were not fixed, one potentially not start from the "optimum"

profpars

I suggest to use either 1. names(pd$pars) or 2. hard code the result from pd_profile_getParsNotYetProfiled()

Author(s)

Daniel Lill (daniel.lill@physik.uni-freiburg.de)

See Also

Other Cluster: clusterStatusMessage(), pd_cluster_L1_fitUnbiasedEachMstrust(), pd_cluster_L1_fitUnbiasedEachOnce(), pd_cluster_L1_mstrust(), pd_cluster_L1(), pd_cluster_mstrust(), readPd()


dlill/petab documentation built on Oct. 9, 2022, 3:07 p.m.