Package: renz 0.2.1
renz: R-Enzymology
Contains utilities for the analysis of Michaelian kinetic data. Beside the classical linearization methods (Lineweaver-Burk, Eadie-Hofstee, Hanes-Woolf and Eisenthal-Cornish-Bowden), features include the ability to carry out weighted regression analysis that, in most cases, substantially improves the estimation of kinetic parameters (Aledo (2021) <doi:10.1002/bmb.21522>). To avoid data transformation and the potential biases introduced by them, the package also offers functions to directly fitting data to the Michaelis-Menten equation, either using ([S], v) or (time, [S]) data. Utilities to simulate substrate progress-curves (making use of the Lambert W function) are also provided. The package is accompanied of vignettes that aim to orientate the user in the choice of the most suitable method to estimate the kinetic parameter of an Michaelian enzyme.
Authors:
renz_0.2.1.tar.gz
renz_0.2.1.zip(r-4.5)renz_0.2.1.zip(r-4.4)renz_0.2.1.zip(r-4.3)
renz_0.2.1.tgz(r-4.5-any)renz_0.2.1.tgz(r-4.4-any)renz_0.2.1.tgz(r-4.3-any)
renz_0.2.1.tar.gz(r-4.5-noble)renz_0.2.1.tar.gz(r-4.4-noble)
renz_0.2.1.tgz(r-4.4-emscripten)renz_0.2.1.tgz(r-4.3-emscripten)
renz.pdf |renz.html✨
renz/json (API)
NEWS
| # Install 'renz' in R: |
| install.packages('renz', repos = c('https://jcaledo.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:baea88b5b1. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 20 2025 |
| R-4.5-win | OK | Feb 20 2025 |
| R-4.5-mac | OK | Feb 20 2025 |
| R-4.5-linux | OK | Feb 20 2025 |
| R-4.4-win | OK | Feb 20 2025 |
| R-4.4-mac | OK | Feb 20 2025 |
| R-4.3-win | OK | Feb 20 2025 |
| R-4.3-mac | OK | Feb 20 2025 |
Exports:bibidir.MMecbehfE.progresshwint.MMlbsE.progress
Dependencies:VGAM
Enzyme Kinetic Parameters
Rendered fromKm_Vm.Rmdusingknitr::rmarkdownon Feb 20 2025.Last update: 2021-12-02
Started: 2021-12-02
Fitting the Michaelis-Menten Model
Rendered fromdirMM.Rmdusingknitr::rmarkdownon Feb 20 2025.Last update: 2023-11-28
Started: 2021-12-02
Integrated Michaelis-Menten Equation
Rendered fromintMM.Rmdusingknitr::rmarkdownon Feb 20 2025.Last update: 2021-12-02
Started: 2021-12-02
Linearized Michaelis-Menten Equations
Rendered fromLinearized_MM.Rmdusingknitr::rmarkdownon Feb 20 2025.Last update: 2021-12-02
Started: 2021-12-02
Michaelis-Menten and the Lambert W function
Rendered fromLambert.Rmdusingknitr::rmarkdownon Feb 20 2025.Last update: 2023-11-28
Started: 2021-12-02
