michaelis_menten_prior: Create a Prior for the Michaelis Menten Enzyme Kinetics Model

In maomlab/BayesPharma: Tools for Bayesian Analysis of Non-Linear Pharmacology Models

Create a Prior for the Michaelis Menten Enzyme Kinetics Model

Description

For both the kcat and kM parameters, the default priors are gamma(4, 1). We use the gamma distribution because it is naturally lower bounded by 0. The first parameter is the shape, alpha=4, and the second is the rate, beta=1. The mean of gamma distributions is alpha/beta and the variance is alpha/beta^2.

Usage

michaelis_menten_prior(
  kcat = brms::prior_string(prior = "gamma(4, 1)", lb = 0, nlpar = "kcat"),
  kM = brms::prior_string(prior = "gamma(4, 1)", lb = 0, nlpar = "kM"),
  ...
)

Arguments

kcat	brms::brmsprior() or numeric for kcat parameter. Given a
kM	brms::brmsprior() numeric for kM parameter. Given a numeric value, it will be used as a constant and not estimated.
...	additional brms::brmsprior() objects.

See Also

michaelis_menten_model, michaelis_menten_formula, michaelis_menten_init, and michaelis_menten_stanvar

maomlab/BayesPharma documentation built on Aug. 24, 2024, 8:45 a.m.