🚀 TidyDensity 1.3.0: Unleash the Power of Triangular Distributions & Supercharge Your Workflows!
Triangular distributions join the party!
Speed like never before! ⚡️Key functions like cvar() and cskewness() are 100x faster thanks to vectorization. Many others see a 30% performance jump with data.table magic.
🚀 Dive into the world of statistical magic with TidyDensity's bootstrap_stat_plot()! 📊✨ Uncover the nuances of your data using R with this powerful function. 🤓
Example 1 explores central tendency, visualizing bootstrapped means, mins, maxes, and standard deviations. Example 2 customizes the plot for a cleaner look. 💡
Looks like my #TidyDensity and #healthyR.data #R packages are doing well post release. Seems the newest TidyDensity maybe the fastest downloaded for me yet!
helathyR.data I think will be the fastest yet for it as well, I'll be posting more about it as time goes on!
Thank you everyone who has tried them, contributed or offered advice and suggestions, would not be here without you!
The TidyDensity package now includes new functions to calculate the Akaike Information Criterion (AIC) for various distributions, streamlining model quality assessment. Use functions like util_negative_binomial_aic() to automate AIC calculations, ensuring precise model evaluation.