BestWeightsByLambda: Find best weights
In armanabraham/chb: Choice history biases
Description
Chooses best weights out of all weights generated for each lambda
of regularized regression.
Then, compute glm coefficients on full dataset using the best lambda
Usage
1
BestWeightsByLambda(performance, lambdas, alpha = 0, glmData, nBack)
Arguments
performance
all results from regularized regression after running RegularizedRegression
lambdas
list of lambda parameters that was used to run RegularizedRegression
glmData
trial-by-trial subject responses
nBack
number of trials to go back in history. Default is 1.
armanabraham/chb documentation built on May 10, 2019, 1:39 p.m.
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Description
Chooses best weights out of all weights generated for each lambda of regularized regression. Then, compute glm coefficients on full dataset using the best lambda
Usage
1 | BestWeightsByLambda(performance, lambdas, alpha = 0, glmData, nBack)
|
Arguments
performance |
all results from regularized regression after running RegularizedRegression |
lambdas |
list of lambda parameters that was used to run RegularizedRegression |
glmData |
trial-by-trial subject responses |
nBack |
number of trials to go back in history. Default is 1. |
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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