Baranyi

Comparing BGFit with R model's description for S2 measurement:

Test estimations with grofit package

Description

Baranyi J. and Roberts T.A. (1994). A dynamic approach to predicting bacterial growth in food. Int. J. Food Microbiol. 23, 277-294.

Options

Estimation is performed on log scale (base e)
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Listing 7 parameters

TitleEstimated parameterDescriptionBottom range for estimationTop range for estimation
h05.0dimensionless parameter quantifying the initial physiological state of the population. From that, the lag time lambda can be calculated as h0/mu.
m7.43252045654132curvature parameter to characterize the transition from the exponential phase
μ max.0.24577469695063maximum specific growth rate
v0.00742340561917curvature parameter to characterize the transition to the exponential phase
y0-4.0767692994683initial population density
ymax-1.09614101246599asymptotic for the population density
Optimal Cost0.12028922387384fitting cost (not used in the solver and estimator)(n/a)(n/a)
RMSEclick here for more information

Root Mean Square Error (RMSE):

Rmse

For more information: link to Wikipedia articleTrans

R2click here for more information R_square

For more information: link to Wikipedia articleTrans

Biasclick here for more information

Bias Factor (Bf):

Bias

For more information check Ross, T. Indices for performance evaluation of predictive models in food microbiology. Journal of Applied Bacteriology 81, 501–508 (1996).

(link to journal articleTrans )

Accuracyclick here for more information

Accuracry Factor (Af):

Accuracy

For more information check Ross, T. Indices for performance evaluation of predictive models in food microbiology. Journal of Applied Bacteriology 81, 501–508 (1996).

link to journal articleTrans

0.00171 0.99954 1.00009 1.00009

Baranyi's Curve