CRAN/E | SIfEK

SIfEK

Statistical Inference for Enzyme Kinetics

Installation

About

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.

Key Metrics

Version 0.1.0
R ≥ 2.10.0
Published 2018-11-22 2035 days ago
Needs compilation? no
License GPL-3
CRAN checks SIfEK results

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Maintainer

Maintainer

Donghyun Ra

Authors

Donghyun Ra
Kyunghoon Kim
Boseung Choi

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 2.10.0

Imports

MASS
ramcmc
smfsb
numDeriv