aic: Akaike information criterion (with correction)
In reedssorenson/RNAdecay: Maximum Likelihood Decay Modeling of RNA Degradation Data
aic R Documentation
Akaike information criterion (with correction)
Description
Calculates AIC or AICc.
Usage
aic(maxlLik, p)
aicc(maxlLik, p, n)
Arguments
maxlLik
maximum log likelihood value identified upon model convergence
p
number of parameters in the model
n
is the total number of observations of a single gene (e.g., 8 time
points X 4 replicates X 4 treatments/genotypes = 128)
Value
returns the AIC or AICc values
Examples
aicc(100,5,15)
reedssorenson/RNAdecay documentation built on Oct. 28, 2023, 11:31 a.m.
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| aic | R Documentation |
Akaike information criterion (with correction)
Description
Calculates AIC or AICc.
Usage
aic(maxlLik, p)
aicc(maxlLik, p, n)
Arguments
maxlLik |
maximum log likelihood value identified upon model convergence |
p |
number of parameters in the model |
n |
is the total number of observations of a single gene (e.g., 8 time points X 4 replicates X 4 treatments/genotypes = 128) |
Value
returns the AIC or AICc values
Examples
aicc(100,5,15)
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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