The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
| Version: | 1.1.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | numDeriv |
| Suggests: | rmarkdown, knitr |
| Published: | 2021-08-20 |
| Author: | Hyukpyo Hong, Boseung Choi, Jae Kyoung Kim |
| Maintainer: | Hyukpyo Hong <hphong at kaist.ac.kr> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | EKMCMC results |
| Reference manual: | EKMCMC.pdf |
| Package source: | EKMCMC_1.1.2.tar.gz |
| Windows binaries: | r-devel: EKMCMC_1.1.2.zip, r-release: EKMCMC_1.1.2.zip, r-oldrel: EKMCMC_1.1.2.zip |
| macOS binaries: | r-release (arm64): EKMCMC_1.1.2.tgz, r-oldrel (arm64): EKMCMC_1.1.2.tgz, r-release (x86_64): EKMCMC_1.1.2.tgz, r-oldrel (x86_64): EKMCMC_1.1.2.tgz |
| Old sources: | EKMCMC archive |
Please use the canonical form https://CRAN.R-project.org/package=EKMCMC to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.