Compiled nlmer sensitivity model (prediction + gradients)
Source:R/nlmerRxUiGet.R
rxUiGet.nlmerSensModel.RdReturns a list with:
thetaGrad: compiled rxode2 model computing rx_pred_ and rx__sens_rx_pred__BY_THETA_i___ for each estimated parameter. WheneventSens = "jump"this model carries rxode2's analytic event-jump sensitivities (loaded/activated bynlmixr2est::.nlmSetupEnv()).predOnly: compiled rxode2 model for prediction onlyeventTheta: integer vector flaggingTHETA[i]that need Shi2021 finite differences for dosing parameters (all 0 undereventSens = "jump")paramNames: character vector of parameter names inTHETA[i]order
Usage
# S3 method for class 'nlmerSensModel'
rxUiGet(x, ...)Details
The list follows the modelInfo contract of nlmixr2est::.nlmSetupEnv()
so the nlm C machinery can load it once and keep it resident.