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SIfEK  

Statistical Inference for Enzyme Kinetics
View on CRAN: Click here


Download and install SIfEK package within the R console
Install from CRAN:
install.packages("SIfEK")

Install from Github:
library("remotes")
install_github("cran/SIfEK")

Install by package version:
library("remotes")
install_version("SIfEK", "0.1.0")



Attach the package and use:
library("SIfEK")
Maintained by
Donghyun Ra
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-22
Latest Update: 2018-11-22
Description:
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.
How to cite:
Donghyun Ra (2018). SIfEK: Statistical Inference for Enzyme Kinetics. R package version 0.1.0, https://cran.r-project.org/web/packages/SIfEK. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.1.0 (2018-11-22 15:20)
Other packages that cited SIfEK R package
View SIfEK citation profile
Other R packages that SIfEK depends, imports, suggests or enhances
Functions, R codes and Examples using the SIfEK R package
Some associated functions: Chymo_high . Chymo_low . DA.MM . DA.cat . DA.combi . DA.multi . GP.MM . GP.cat . GP.combi . GP.multi . SSA.MM . SSA.cat . SSA.combi . SSA.multi . 
Some associated R codes: DA_MM.R . DA_cat.R . DA_combi.R . DA_multi.R . GP_MM.R . GP_cat.R . GP_combi.R . GP_multi.R . SSA_MM.R . SSA_cat.R . SSA_combi.R . SSA_multi.R . data.R .  Full SIfEK package functions and examples
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