tQ_genquant: Stan Code for the tQ Model Generated Quantities
In maomlab/BayesPharma: Tools for Bayesian Analysis of Non-Linear Pharmacology Models
View source: R/model-tQ-stanvars.R
tQ_genquant R Documentation
Stan Code for the tQ Model Generated Quantities
Description
If only the substrate concentration is varied, it is not
generally possible to fit both kcat and kM. However, it is possible to
fit the ratio kcat/kM. Including this rstan::stan code will generate the
samples for kcat/kM.
Usage
tQ_genquant()
References
Choi, B., Rempala, G.A. & Kim, J.K. Beyond the Michaelis-Menten equation:
Accurate and efficient estimation of enzyme kinetic parameters. Sci Rep 7,
17018 (2017). https://doi.org/10.1038/s41598-017-17072-z
See Also
tQ_model
maomlab/BayesPharma documentation built on Aug. 24, 2024, 8:45 a.m.
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View source: R/model-tQ-stanvars.R
| tQ_genquant | R Documentation |
Stan Code for the tQ Model Generated Quantities
Description
If only the substrate concentration is varied, it is not
generally possible to fit both kcat and kM. However, it is possible to
fit the ratio kcat/kM. Including this rstan::stan code will generate the
samples for kcat/kM.
Usage
tQ_genquant()
References
Choi, B., Rempala, G.A. & Kim, J.K. Beyond the Michaelis-Menten equation: Accurate and efficient estimation of enzyme kinetic parameters. Sci Rep 7, 17018 (2017). https://doi.org/10.1038/s41598-017-17072-z
See Also
tQ_model
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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