akaike_weight: Compute akaike weights
In JanaJarecki/cognitiveutils: Utility functions for cognitive science and cognitive modeling
Description
Usage
Arguments
References
Examples
View source: R/akaike_weight.R
Description
Compute akaike weights
Usage
1
akaike_weight(x, measure = c("aic", "loglikelihood"))
Arguments
x
A numeric vector or matrix with AIC or log likelihood values
measure
A string (default "aic"), the type of values in x. Can be one of "aic", "loglikelihood"; can be abbreviated.
References
Wagenmakers, E., & Farrell, S. (2004). AIC model selection using Akaike weights. Psychonomic Bulletin & Review, 11(1), 192–196. https://doi.org/10.3758/BF03206482
Examples
1
2
aic_values <- c(204, 202, 206, 206, 214) # some AIC values
akaike_weight(aic_values)
JanaJarecki/cognitiveutils documentation built on Sept. 9, 2020, 9:11 a.m.
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Description Usage Arguments References Examples
View source: R/akaike_weight.R
Description
Compute akaike weights
Usage
1 | akaike_weight(x, measure = c("aic", "loglikelihood"))
|
Arguments
x |
A numeric vector or matrix with AIC or log likelihood values |
measure |
A string (default |
References
Wagenmakers, E., & Farrell, S. (2004). AIC model selection using Akaike weights. Psychonomic Bulletin & Review, 11(1), 192–196. https://doi.org/10.3758/BF03206482
Examples
1 2 | aic_values <- c(204, 202, 206, 206, 214) # some AIC values
akaike_weight(aic_values)
|
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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