PFIM : population design evaluation and optimisation. PFIM (Population Fisher Information Matrix) is a R function dedicated to evaluation and optimisation of designs (number of subjects, number of samples per subject and their allocation in time) for nonlinear mixed effects models (population approach). This function is based on the developpement of an approximation of the Fisher information matrix in these model
Keywords for this software
References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Nguyen, Thu Thuy; Mentré, France: Evaluation of the Fisher information matrix in nonlinear mixed effect models using adaptive Gaussian quadrature (2014)
- Bazzoli, Caroline; Retout, Sylvie; Mentré, France: Design evaluation and optimisation in multiple response nonlinear mixed effect models: PFIM 3.0 (2010) ioport
- Retout, Sylvie; Comets, Emmanuelle; Bazzoli, Caroline; Mentré, France: Design optimization in nonlinear mixed effects models using cost functions: application to a joint model of infliximab and methotrexate pharmacokinetics (2009)