AIC_lik: Returns liklihood of models relative to the best (based on...
In adsteen/Lloyd.et.al.Cell.abundance.metaanalysis: Package to reproduce analysis from Lloyd et al (2013), Applied and Environmental Microbiology
Description
Usage
Arguments
Value
Description
Calculates relative liklihood of models based on Akaike
Information Criterion
Usage
1
AIC_lik(AIC_df)
Arguments
AIC_df
data frame of AIC results, as provided by
the AIC function
Value
The input data frame, with a 'liklihood' column
adsteen/Lloyd.et.al.Cell.abundance.metaanalysis documentation built on May 10, 2019, 7:26 a.m.
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Description Usage Arguments Value
Description
Calculates relative liklihood of models based on Akaike Information Criterion
Usage
1 | AIC_lik(AIC_df)
|
Arguments
AIC_df |
data frame of AIC results, as provided by the AIC function |
Value
The input data frame, with a 'liklihood' column
R Package Documentation
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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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