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EKMCMC  

MCMC Procedures for Estimating Enzyme Kinetics Constants
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("EKMCMC", "1.1.2")



Attach the package and use:
library("EKMCMC")
Maintained by
Hyukpyo Hong
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-26
Latest Update: 2021-08-20
Description:
Functions for estimating catalytic constant and Michaelis-Menten constant for enzyme kinetics model using Metropolis-Hasting algorithm within Gibbs sampler based on the Bayesian framework.
How to cite:
Hyukpyo Hong (2017). EKMCMC: MCMC Procedures for Estimating Enzyme Kinetics Constants. R package version 1.1.2, https://cran.r-project.org/web/packages/EKMCMC. Accessed 28 Jan. 2025.
Previous versions and publish date:
0.1.0 (2017-11-26 16:16)
Other packages that cited EKMCMC R package
View EKMCMC citation profile
Other R packages that EKMCMC depends, imports, suggests or enhances
Complete documentation for EKMCMC
Functions, R codes and Examples using the EKMCMC R package
Some associated functions: MM_catal_est . MM_est . catalytic_est . main_est . timeseries_data_example . 
Some associated R codes: MM_catal_est.R . MM_est.R . catalytic_est.R . main_est.R . timeseries_data_example.R .  Full EKMCMC package functions and examples
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