Proba_T: This function describes the evolution of the single-cell...
In Ghayabh/bacterial-growth: bacterialgrowth Package

Description Usage Arguments Details Value

This function describes the evolution of the single-cell growth probability with temperature. For this, we used the model proposed by Jean Christophe Augustin and Aurelia Czarnecka-Kwasiborski in 2012, to describe the increase of the probability from 0 to 1 with increasing values of temperature.

1	Proba_T(T, Tinf, Tsup, c)

`T`	Temperature # a number
`Tinf`	The theoritical cellular minimal temperature for growth #a number
`Tsup`	The theoritical cellular maximal temperature for growth #a number
`c`	a parameter #a number

\begin{equation}p(T)=≤ft\{\begin{array}{ll} 0, & T ≤q T_{\mathrm{inf}} \\ \frac{\exp (T / c)-\exp ≤ft(T_{\mathrm{inf}} / c\right)}{\exp ≤ft(T_{\mathrm{sup}} / c\right)-\exp ≤ft(T_{\mathrm{inf} / c}\right)}, & T_{\mathrm{inf}}<T<T_{\mathrm{sup}} \\ 1, & T ≥q T_{\mathrm{sup}} \end{array}\right.\end{equation}

proba_T_Aug The single-cell growth probability, which increases from O to 1 when temperature value increases at a more favorable condition #a number

Ghayabh/bacterial-growth documentation built on Dec. 31, 2020, 12:04 p.m.