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Nonmem advan13
Nonmem advan13














  • The PoPy PREDICTIONS explicitly creates p prediction variables, often based on s amounts from the compartment model, which all have human readable names.
  • nonmem advan13

    The Nonmem $error section is much shorter, it relies on the convention that ‘Y’ is the dependant variable ‘DV’ column from the data file and ‘F’ is the model prediction for the compartment specified by the ‘CMT’ column in the data file.In a fitting script these sections compute a likelihood, when simulating these sections produce a noisy measurement prediction. They both compare observations from the data file with model predictions. The PoPy PREDICTIONS section has the same of purpose as the Nonmem $ERROR section. PREDICTIONS : | p = s var = m + m * p ** 2 c ~ norm ( p, var )

    #Nonmem advan13 code

    and generate code that be executed by a numerical ordinary differential equation solver to compute compartment model amount/state variables at time points specified in the data file. They both accept procedural pseudocode, e.g. Otherwise the $DES and DERIVATIVES sections are quite similar.

  • Nonmem converts the $DES section into a Fortran function, whilst PoPy converts the DERIVATIVES section into a C++ function, that can be called by a numerical ordinary differential equation solver.
  • Nonmem uses the magic variable ‘T’ to specify continuous time in the $DES section, PoPy uses the more obviously magic x variable to do the same thing.
  • The time of each dose is still defined in the data file. The dosing compartment is clearly defined by the dose function location in the DERIVATIVES section.

    nonmem advan13

    Nonmem specifies the dosing time, amount and compartment (either bolus or infusion) entirely from the data file, however PoPy has Dosing Functions that have explicitly declared input parameters.Nonmem will allow you to use any previously specified variables as input, whereas PoPy restricts input variables to be of type c and m.Nonmem uses numbered DADT and A variables, whilst PoPy uses named d and s variables.The PoPy DERIVATIVES section has exactly the same of purpose as the Nonmem $DES section.














    Nonmem advan13