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Documentation for package ‘babelmixr2’ version 0.1.12

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.nlmerNlmerFun Surrogate gradient function for lme4::nlmer
.setupPopEDdatabase Setup the poped database
as.nlmixr Convert an object to a nlmixr2 fit object
as.nlmixr2 Convert an object to a nlmixr2 fit object
babel.poped.database Expand a babelmixr2 PopED database
babelBpopIdx Get the bpop_idx by variable name for a poped database created by 'babelmixr2'
bblDatToMonolix Convert nlmixr2-compatible data to other formats (if possible)
bblDatToMrgsolve Convert nlmixr2-compatible data to other formats (if possible)
bblDatToNonmem Convert nlmixr2-compatible data to other formats (if possible)
bblDatToPknca Convert nlmixr2-compatible data to other formats (if possible)
bblDatToRxode Convert nlmixr2-compatible data to other formats (if possible)
fmeMcmcControl Control for fmeMcmc estimation method in nlmixr2
getStandardColNames Determine standardized rxode2 column names from data
modelUnitConversion Unit conversion for pharmacokinetic models
monolixControl Monolix Controller for nlmixr2
nlmerControl Control for nlmer estimation method in nlmixr2
nlmixr2Est.nlmer nlmixr2 estimation using lme4::nlmer
nlmixr2Est.pknca Estimate starting parameters using PKNCA
nlmixr2NlmerControl Control for nlmer estimation method in nlmixr2
nonmemControl NONMEM estimation control
pkncaControl PKNCA estimation control
popedControl Control for a PopED design task
popedGetMultipleEndpointModelingTimes Get Multiple Endpoint Modeling Times
popedMultipleEndpointIndexDataFrame Get Multiple Endpoint Modeling Times
popedMultipleEndpointResetTimeIndex Reset the Global Time Indexer for Multiple Endpoint Modeling
pseudoOptimControl Control for fmeMcmc estimation method in nlmixr2
rxToMonolix Convert RxODE syntax to monolix syntax
rxToNonmem Convert RxODE syntax to NONMEM syntax
rxUiGet.loadPruneNlmer Load pruned nlmer model into symengine (no sensitivity promotion)
rxUiGet.loadPruneNlmerSens Load pruned nlmer model into symengine (with sensitivity promotion)
rxUiGet.nlmerEnv Full nlmer symengine environment with sensitivities
rxUiGet.nlmerFormula Build the full 3-part nlmer formula
rxUiGet.nlmerHdTheta Compute d(f)/d('THETA[i]') for all nlmer parameters
rxUiGet.nlmerModel0 nlmer base model (saem-dropped etas, 'THETA[i]' prefix, nlme error lines)
rxUiGet.nlmerParams params() string for the nlmer 'THETA[i]'-indexed model
rxUiGet.nlmerRandomFormula Build the random-effects part (part 3) of the nlmer 3-part formula
rxUiGet.nlmerSensModel Compiled nlmer sensitivity model (prediction + gradients)
rxUiGet.nlmerStart Starting values for nlmer fixed effects
rxUiGet.nlmerThetaS Compute d(state)/d('THETA[i]') sensitivities for nlmer
rxUiGet.nlmerThetas Get the structural params to estimate for nlmer (= saemParamsToEstimate)
saemixControl Control for saemix estimation method in nlmixr2
simplifyUnit Simplify units by removing repeated units from the numerator and denominator