AICc: Calculate AIC based on MSE, corrected for low parameter...
In thartbm/handlocs: Download and analyse 2D reaching and hand localization data
AICc R Documentation
Calculate AIC based on MSE, corrected for low parameter models.
Description
...
Usage
AICc(MSE, k, N)
Arguments
MSE
A vector of mean squared errors between data and model predictions.
k
A vector of the number of free parameters for each model.
N
The number of observations in the data set.
Details
#
Value
A vector of AIC values for each model, corrected for low parameter numbers.
Examples
#
thartbm/handlocs documentation built on Feb. 18, 2025, 10:53 p.m.
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| AICc | R Documentation |
Calculate AIC based on MSE, corrected for low parameter models.
Description
...
Usage
AICc(MSE, k, N)
Arguments
MSE |
A vector of mean squared errors between data and model predictions. |
k |
A vector of the number of free parameters for each model. |
N |
The number of observations in the data set. |
Details
#
Value
A vector of AIC values for each model, corrected for low parameter numbers.
Examples
#
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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