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-4.7-any)EKMCMC_1.1.2.zip(r-4.6-any)EKMCMC_1.1.2.zip(r-4.5-any)
EKMCMC_1.1.2.tgz(r-4.6-any)EKMCMC_1.1.2.tgz(r-4.5-any)
EKMCMC_1.1.2.tar.gz(r-4.7-any)EKMCMC_1.1.2.tar.gz(r-4.6-any)
EKMCMC_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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:

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 307 downloads 4 exports 1 dependencies

Last updated from:adb61ee678. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK92
source / vignettesOK329
linux-releaseOK91
macos-releaseOK161
macos-oldrelOK244
windows-develOK67
windows-releaseOK70
windows-oldrelOK61
wasm-releaseOK341

Exports:catalytic_estmain_estMM_catal_estMM_est

Dependencies:numDeriv