calculate_FIM: Calculation of Fisher Information Matrix
In jlpesoto/prueba: Sensitivity Analysis and Optimum Experiment Design for Microbial Inactivation
Description
Usage
Arguments
Value
View source: R/FIM_calculation.R
Description
The sensitivities at the different times are calculated by
linear interpolation of the results provided in sensitivities.
Usage
1
calculate_FIM(sensitivities, times)
Arguments
sensitivities
data.frame of class sensFun as returned by
sensitivity_inactivation.
times
Numeric vector of time points where observations will be taken.
Value
Matrix with the estimation of the Fisher Information Matrix.
jlpesoto/prueba documentation built on Nov. 4, 2019, 2:59 p.m.
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Description Usage Arguments Value
View source: R/FIM_calculation.R
Description
The sensitivities at the different times are calculated by
linear interpolation of the results provided in sensitivities.
Usage
1 | calculate_FIM(sensitivities, times)
|
Arguments
sensitivities |
data.frame of class |
times |
Numeric vector of time points where observations will be taken. |
Value
Matrix with the estimation of the Fisher Information Matrix.
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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