Description Usage Arguments Details Value Examples

The function estimates catalytic constant using input data set and enzyme, substrate concentration, and MM constant.

1 2 3 | ```
catalytic_est(method = T, time, species, enz, subs, MM, catal,
nrepeat = 10000, jump = 1, burning = 0, catal_m = 1,
catal_v = 1e+06)
``` |

`method` |
method selection: T=TQ model, F=SQ model(default = T) |

`time` |
observed time interval |

`species` |
observed trajectory of product |

`enz` |
enzyme concentration |

`subs` |
substrate concentration |

`MM` |
true value of MM constant |

`catal` |
initial value of catalytic constant |

`nrepeat` |
total number of iteration (default=10000) |

`jump` |
length of distance (default =1) |

`burning` |
lenth of burning period (default =0) |

`catal_m` |
prior mean of gamma prior (default =1) |

`catal_v` |
prior variance of gamma prior (default =1e+6) |

The function catalytic_est generates a set of Monte Carlo simulation samples from posterior distribution of catalytic constant of enzyme kinetics model. Because the function considers catalytic constant as a parameter to be estimated, the user should input three constants of enzyme concentration, substrate concentration and Michaelis-Menten constant.

A vector of posterior samples of catalytic constant

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