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