Stability Selection and Consensus Clustering in R: The R Package sharp TrueSkill Through Time: Reliable Initial Skill Estimates and Historical Comparability with Julia, Python, and R Parsimoniously Fitting Large Multivariate Random Effects in glmmTMB Learning Permutation Symmetry of a Gaussian Vector with gips in R pyrichlet: A Python Package for Density Estimation and Clustering Using Gaussian Mixture Models BayesMix: Bayesian Mixture Models in C++ Split-Apply-Combine with Dynamic Grouping RESI: An R Package for Robust Effect Sizes gptools: Scalable Gaussian Process Inference with Stan clinicalsignificance: Clinical Significance Analyses of Intervention Studies in R Estimating Conditional Distributions with Neural Networks Using R Package deeptrafo GET: Global Envelopes in R jti and sparta: Time and Space Efficient Packages for Model-Based Prediction in Large Bayesian Networks BEKKs: An R Package for Estimation of Conditional Volatility of Multivariate Time Series Interpreting Deep Neural Networks with the Package innsight mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R pyStoNED: A Python Package for Convex Regression and Frontier Estimation Birth-and-Death Processes in Python: The BirDePy Package How to Interpret Statistical Models Using marginaleffects for R and Python fairadapt: Causal Reasoning for Fair Data Preprocessing Weighted scoringRules: Emphasizing Particular Outcomes When Evaluating Probabilistic Forecasts anomaly: Detection of Anomalous Structure in Time Series Data cubble: An R Package for Organizing and Wrangling Multivariate Spatio-Temporal Data makemyprior: Intuitive Construction of Joint Priors for Variance Parameters in R bayesnec: An R Package for Concentration-Response Modeling and Estimation of Toxicity Metrics An Extendable Python Implementation of Robust Optimization Monte Carlo sparsegl: An R Package for Estimating Sparse Group Lasso Emulation and History Matching Using the hmer Package Extremes.jl: Extreme Value Analysis in Julia fHMM: Hidden Markov Models for Financial Time Series in R Generalized Plackett-Luce Likelihoods scikit-fda: A Python Package for Functional Data Analysis bizicount: Bivariate Zero-Inflated Count Copula Regression Using R funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs cpop: Detecting Changes in Piecewise-Linear Signals openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK Modeling Nonstationary Financial Volatility with the R Package tvgarch salmon: A Symbolic Linear Regression Package for Python PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments The R Package tipsae: Tools for Mapping Proportions and Indicators on the Unit Interval CRTFASTGEEPWR: A SAS Macro for Power of Generalized Estimating Equations Analysis of Multi-Period Cluster Randomized Trials with Application to Stepped Wedge Designs Holistic Generalized Linear Models melt: Multiple Empirical Likelihood Tests in R The R Package markets: Estimation Methods for Markets in Equilibrium and Disequilibrium DoubleML: An Object-Oriented Implementation of Double Machine Learning in R gcimpute: A Package for Missing Data Imputation hdpGLM: An R Package to Estimate Heterogeneous Effects in Generalized Linear Models Using Hierarchical Dirichlet Process GMM Estimators for Binary Spatial Models in R