Man pages for JanaJarecki/cognitiveutils
Utility functions for cognitive science and cognitive modeling

AccuracysAccuracy
akaike_weightCompute akaike weights
APE'APE()' calculates the average percentage error
choiceruleApply a choice rule (action selection rule) to probabilistic...
cr_argmaxApply an arg max choice rule
cr_epsilonApply Epsilon greedy choice rule
cr_luceApply Luce choie rule, aka Clarke choice rule
cr_softmaxApply soft maximum (softmax) choice rule for binary...
drop2Drop the second dimension
gofCompute goodness of fit measures
LoglikelihoodLog likelihood (log loss)
MAPE'MAPE()' calculate mean absolute percentage error
MDAPE'MDAPE()' calculate median absolute percentage error
meansdCompuate mean and (finite-sample corrected) standard...
MSE'MSE()' computes the mean squared error
participantsPrint the participant section for a manuscript from a...
print.meansdPrint method for objects of class '"meansd"'
RMSE'RMSE()' computes the root mean squared error
SSESum of squared errors
JanaJarecki/cognitiveutils documentation built on Sept. 9, 2020, 9:11 a.m.