| Name : R-SIfEK
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.3.7
| Date : 2024-06-14 11:41:47
|
| Group : Development/Libraries/Other
| Source RPM : R-SIfEK-0.1.0-lp153.3.7.src.rpm
|
| Size : 0.16 MB
| |
| Packager : (none)
| |
| Summary : Statistical Inference for Enzyme Kinetics
|
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.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
