int3ract is an R package that automates the Johnson-Neyman technique and its three-way JNK extension for interpreting interaction effects in frequentist and Bayesian statistical models.
Fitting Linear Mixed-Effects Models Using
2 Pith papers cite this work. Polarity classification is still indexing.
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Multiverse analysis of three published CSS studies reveals substantial variation in findings across methodological decision combinations and identifies cases of computational failure not reported in originals.
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int3ract: Johnson-Neyman Technique and its Three-Way Extension for Frequentist and Bayesian Models in R
int3ract is an R package that automates the Johnson-Neyman technique and its three-way JNK extension for interpreting interaction effects in frequentist and Bayesian statistical models.
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Making Uncertainty Visible: Multiverse Analysis for Robust Computational Social Science
Multiverse analysis of three published CSS studies reveals substantial variation in findings across methodological decision combinations and identifies cases of computational failure not reported in originals.