Journal & Article

Interdisciplinary Applications

I/F
# Journal I/F

Journal of Statistical Software

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 Efficient Multiple Imputation for Diverse Data in Python and R: MIDASpy and rMIDAS Modeling Population Growth in R with the biogrowth Package varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models Panel Data Visualization in R (panelView) and Stata (panelview) DataFrames.jl: Flexible and Fast Tabular Data in Julia REndo: Internal Instrumental Variables to Address Endogeneity ARCHModels.jl: Estimating ARCH Models in Julia carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials disaggregation: An R Package for Bayesian Spatial Disaggregation Modeling