An application for parameterization of biological models available in SBML and BNGL formats. Features include parallelization, metaheuristic optimization algorithms, and an adaptive Markov chain Monte Carlo (MCMC) sampling algorithm.
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Likelihood-based qualitative objective function #289
Implements an objective function for use with qualitative data that can be interpreted as a negative log likelihood. This formulation can be used with Bayesian uncertainty quantification.
Implements an objective function for use with qualitative data that can be interpreted as a negative log likelihood. This formulation can be used with Bayesian uncertainty quantification.