goodness_of_fit: Goodness of fit for microbial inactivation models
In albgarre/bioinactivation: Mathematical Modelling of (Dynamic) Microbial Inactivation
View source: R/AIC_functions.R
goodness_of_fit R Documentation
Goodness of fit for microbial inactivation models
Description
Generates a table with several statistical indexes describing the
quality of the model fit:
ME: Mean Error.
RMSE: Root Mean Squared Error.
loglik: log-likelihood.
AIC: Akaike Information Criterion.
AICc: Akaike Information Criterion with correction for
finite sample size.
BIC: Bayesian Infromation Criterion.
Af: Accuracy factor.
Bf: Bias factor.
Usage
goodness_of_fit(object)
Arguments
object
A model fit generated by bioinactivation
albgarre/bioinactivation documentation built on Nov. 27, 2022, 9:19 a.m.
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View source: R/AIC_functions.R
| goodness_of_fit | R Documentation |
Goodness of fit for microbial inactivation models
Description
Generates a table with several statistical indexes describing the quality of the model fit:
ME: Mean Error.
RMSE: Root Mean Squared Error.
loglik: log-likelihood.
AIC: Akaike Information Criterion.
AICc: Akaike Information Criterion with correction for finite sample size.
BIC: Bayesian Infromation Criterion.
Af: Accuracy factor.
Bf: Bias factor.
Usage
goodness_of_fit(object)
Arguments
object |
A model fit generated by bioinactivation |
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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