Fit nonlinear mixedeffects model (requires Statistics and Machine Learning Toolbox software)
fitResults = sbiofitmixed(sm,grpData,responseMap,covEstiminfo)
fitResults = sbiofitmixed(sm,grpData,responseMap,covEstiminfo,dosing)
fitResults = sbiofitmixed(sm,grpData,responseMap,covEstiminfo,dosing,functionName)
fitResults = sbiofitmixed(sm,grpData,responseMap,covEstiminfo,dosing,functionName,opt)
fitResults = sbiofitmixed(sm,grpData,responseMap,covEstiminfo,dosing,functionName,opt,variants)
fitResults = sbiofitmixed(_,'UseParallel',tf)
[fitResults,simDataI,simDataP]
= sbiofitmixed(_)
performs
nonlinear mixedeffects estimation using the SimBiology^{®} model fitResults
= sbiofitmixed(sm
,grpData
,responseMap
,covEstiminfo
)sm
and
returns a NLMEResults
object fitResults
.
grpData
is a groupedData
object
specifying the data to fit. responseMap
is
a string or cell array of strings that maps model components to response
data in grpData
. covEstiminfo
is
a CovariateModel object
or
an array of estimatedInfo
objects that defines
the parameters to be estimated.
If the model contains active doses and variants, they are applied during the simulation.
uses
the dosing information specified by a matrix of SimBiology dose objects fitResults
= sbiofitmixed(sm
,grpData
,responseMap
,covEstiminfo
,dosing
)dosing
instead
of using the active doses of the model sm
if
there are any.
uses
the estimation function specified by fitResults
= sbiofitmixed(sm
,grpData
,responseMap
,covEstiminfo
,dosing
,functionName
)functionName
that
must be either 'nlmefit'
or 'nlmefitsa'
.
uses
the additional options specified by fitResults
= sbiofitmixed(sm
,grpData
,responseMap
,covEstiminfo
,dosing
,functionName
,opt
)opt
for the
estimation function functionName
.
applies
variant objects specified as fitResults
= sbiofitmixed(sm
,grpData
,responseMap
,covEstiminfo
,dosing
,functionName
,opt
,variants
)variants
instead
of using any active variants of the model.
provides
an option to estimate parameters in parallel if Parallel Computing Toolbox™ is
available.fitResults
= sbiofitmixed(_,'UseParallel',tf
)
[
returns a vector of results objects fitResults
,simDataI
,simDataP
]
= sbiofitmixed(_)fitResults
,
vector of simulation results simDataI
using individualspecific
parameter estimates, and vector of simulation results simDataP
using
population parameter estimates.
Note:

[1] Grasela Jr, T.H., Donn, S.M. (1985) Neonatal population pharmacokinetics of phenobarbital derived from routine clinical data. Dev Pharmacol Ther. 8(6), 374–83.
CovariateModel
object
 estimatedInfo object
 groupedData
 nlmefit
 nlmefitsa
 NLMEResults object
 sbiofit
 sbiofitstatusplot