Statistical Inference for Enzyme Kinetics

Functions for estimating catalytic constant and Michaelis-Menten constant (MM constant) of stochastic Michaelis-Menten enzyme kinetics model are provided. The likelihood functions based on stochastic simulation approximation (SSA), diffusion approximation (DA), and Gaussian processes (GP) are provided to construct posterior functions for the Bayesian estimation. All functions utilize Markov Chain Monte Carlo (MCMC) methods with Metropolis- Hastings algorithm with random walk chain and robust adaptive Metropolis-Hastings algorithm based on Bayesian framework.


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install.packages("SIfEK")

0.1.0 by Donghyun Ra, 7 months ago


Browse source code at https://github.com/cran/SIfEK


Authors: Donghyun Ra , Kyunghoon Kim , Boseung Choi


Documentation:   PDF Manual  


GPL-3 license


Imports MASS, ramcmc, smfsb, numDeriv


See at CRAN