Statistical Inference for Enzyme Kinetics

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Documentation for package ‘SIfEK’ version 0.1.0

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Chymo_high Product concentration of 101 observed time
Chymo_low Product concentration of 101 observed time
DA.cat Estimation of single catalytic constant using the diffusion approximation
DA.combi Simultaneous estimation of Michaelis-Menten constant and catalytic constant using combined data and the likelihood function with the diffusion approximation method.
DA.MM Estimation of single Michaelis-Menten constant using diffusion approximation
DA.multi Simultaneous estimation of Michaelis-Menten constant and catalytic constant using the likelihood function with diffusion approximation method
GP.cat Estimation of single catalytic constant using Gaussian processes
GP.combi Simultaneous estimation of Michaelis-Menten constant and catalytic constant using combined data and the likelihood function with the Gaussian process method
GP.MM Estimation of single Michaelis-Menten constant using the Gaussian process method The function estimates single Michaelis-Menten constant using the likelihood function with the Gaussian process method.
GP.multi Simultaneous estimation of Michaelis-Menten constant and catalytic constant using the likelihood function with the Gaussian process method.
SSA.cat Estimation of single catalytic constant using the stochastic simulation approximation method
SSA.combi Simultaneous estimation of Michaelis-Menten constant and catalytic constant using combined data and the likelihood function with the Stochastic Simulation Approximation method.
SSA.MM Estimation of single Michaelis-Menten constant using the stochastic simulation approximation
SSA.multi Simultaneous estimation of Michaelis-Menten constant and catalytic constant using the likelihood function with the stochastic simulation approximation method