aic: Akaike information criterion (with correction)
In RNAdecay: Maximum Likelihood Decay Modeling of RNA Degradation Data
Description
Usage
Arguments
Value
Examples
Description
Calculates AIC or AICc.
Usage
1
2
3
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
1
aicc(100,5,15)
RNAdecay documentation built on Nov. 8, 2020, 5:52 p.m.
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Description Usage Arguments Value Examples
Description
Calculates AIC or AICc.
Usage
1 2 3 |
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
1 | 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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