Package: EKMCMC 1.1.2

EKMCMC: MCMC Procedures for Estimating Enzyme Kinetics Constants

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.

Authors:Hyukpyo Hong, Boseung Choi, Jae Kyoung Kim

EKMCMC_1.1.2.tar.gz
EKMCMC_1.1.2.zip(r-4.5)EKMCMC_1.1.2.zip(r-4.4)EKMCMC_1.1.2.zip(r-4.3)
EKMCMC_1.1.2.tgz(r-4.5-any)EKMCMC_1.1.2.tgz(r-4.4-any)EKMCMC_1.1.2.tgz(r-4.3-any)
EKMCMC_1.1.2.tar.gz(r-4.5-noble)EKMCMC_1.1.2.tar.gz(r-4.4-noble)
EKMCMC_1.1.2.tgz(r-4.4-emscripten)EKMCMC_1.1.2.tgz(r-4.3-emscripten)
EKMCMC.pdf |EKMCMC.html✨
EKMCMC/json (API)

# Install 'EKMCMC' in R:
install.packages('EKMCMC', repos = c('https://hyukpyohong.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda-Forge:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 5 scripts 229 downloads 4 exports 1 dependencies

Last updated 4 years agofrom:adb61ee678. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 13 2025
R-4.5-winOKFeb 13 2025
R-4.5-macOKFeb 13 2025
R-4.5-linuxOKFeb 13 2025
R-4.4-winOKFeb 13 2025
R-4.4-macOKFeb 13 2025
R-4.3-winOKFeb 13 2025
R-4.3-macOKFeb 13 2025

Exports:catalytic_estmain_estMM_catal_estMM_est

Dependencies:numDeriv