clinicalsignificance: Clinical Significance Analyses of Intervention Studies in R
vol.111 iss.1 (2024) Estimating Conditional Distributions with Neural Networks Using R Package deeptrafo
vol.111 iss.1 (2024) GET: Global Envelopes in R
vol.111 iss.1 (2024) jti and sparta: Time and Space Efficient Packages for Model-Based Prediction in Large Bayesian Networks
vol.111 iss.1 (2024) BEKKs: An R Package for Estimation of Conditional Volatility of Multivariate Time Series
vol.111 iss.1 (2024) Interpreting Deep Neural Networks with the Package innsight
vol.111 iss.1 (2024) mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R
vol.111 iss.1 (2024) pyStoNED: A Python Package for Convex Regression and Frontier Estimation
vol.111 iss.1 (2024) Birth-and-Death Processes in Python: The BirDePy Package
vol.111 iss.1 (2024) How to Interpret Statistical Models Using marginaleffects for R and Python
vol.111 iss.1 (2024) fairadapt: Causal Reasoning for Fair Data Preprocessing
vol.110 iss.1 (2024) Weighted scoringRules: Emphasizing Particular Outcomes When Evaluating Probabilistic Forecasts
vol.110 iss.1 (2024) anomaly: Detection of Anomalous Structure in Time Series Data
vol.110 iss.1 (2024) cubble: An R Package for Organizing and Wrangling Multivariate Spatio-Temporal Data
vol.110 iss.1 (2024) makemyprior: Intuitive Construction of Joint Priors for Variance Parameters in R
vol.110 iss.1 (2024) bayesnec: An R Package for Concentration-Response Modeling and Estimation of Toxicity Metrics
vol.110 iss.1 (2024) An Extendable Python Implementation of Robust Optimization Monte Carlo
vol.110 iss.1 (2024) sparsegl: An R Package for Estimating Sparse Group Lasso
vol.110 iss.1 (2024) Emulation and History Matching Using the hmer Package
vol.109 iss.1 (2024) Extremes.jl: Extreme Value Analysis in Julia
vol.109 iss.1 (2024) fHMM: Hidden Markov Models for Financial Time Series in R
vol.109 iss.1 (2024) Generalized Plackett-Luce Likelihoods
vol.109 iss.1 (2024) scikit-fda: A Python Package for Functional Data Analysis
vol.109 iss.1 (2024) bizicount: Bivariate Zero-Inflated Count Copula Regression Using R
vol.109 iss.1 (2024) funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs
vol.109 iss.1 (2024) cpop: Detecting Changes in Piecewise-Linear Signals
vol.109 iss.1 (2024) openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding
vol.109 iss.1 (2024) magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes
vol.109 iss.1 (2024) Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK
vol.108 iss.1 (2024) Modeling Nonstationary Financial Volatility with the R Package tvgarch
vol.108 iss.1 (2024) salmon: A Symbolic Linear Regression Package for Python
vol.108 iss.1 (2024) PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments
vol.108 iss.1 (2024) The R Package tipsae: Tools for Mapping Proportions and Indicators on the Unit Interval
vol.108 iss.1 (2024) CRTFASTGEEPWR: A SAS Macro for Power of Generalized Estimating Equations Analysis of Multi-Period Cluster Randomized Trials with Application to Stepped Wedge Designs
vol.108 iss.1 (2024) Holistic Generalized Linear Models
vol.108 iss.1 (2024) melt: Multiple Empirical Likelihood Tests in R
vol.108 iss.1 (2024) The R Package markets: Estimation Methods for Markets in Equilibrium and Disequilibrium
vol.108 iss.1 (2024) DoubleML: An Object-Oriented Implementation of Double Machine Learning in R
vol.108 iss.1 (2024) gcimpute: A Package for Missing Data Imputation
vol.108 iss.1 (2024) hdpGLM: An R Package to Estimate Heterogeneous Effects in Generalized Linear Models Using Hierarchical Dirichlet Process
vol.107 iss.1 (2023) GMM Estimators for Binary Spatial Models in R
vol.107 iss.1 (2023) Efficient Multiple Imputation for Diverse Data in Python and R: MIDASpy and rMIDAS
vol.107 iss.1 (2023) Modeling Population Growth in R with the biogrowth Package
vol.107 iss.1 (2023) varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models
vol.107 iss.1 (2023) Panel Data Visualization in R (panelView) and Stata (panelview)
vol.107 iss.1 (2023) DataFrames.jl: Flexible and Fast Tabular Data in Julia
vol.107 iss.1 (2023) REndo: Internal Instrumental Variables to Address Endogeneity
vol.107 iss.1 (2023) ARCHModels.jl: Estimating ARCH Models in Julia
vol.107 iss.1 (2023) carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials
vol.107 iss.1 (2023) disaggregation: An R Package for Bayesian Spatial Disaggregation Modeling
vol.106 (2023) pp.19
vol.111 iss.1 (2024) Estimating Conditional Distributions with Neural Networks Using R Package deeptrafo
vol.111 iss.1 (2024) GET: Global Envelopes in R
vol.111 iss.1 (2024) jti and sparta: Time and Space Efficient Packages for Model-Based Prediction in Large Bayesian Networks
vol.111 iss.1 (2024) BEKKs: An R Package for Estimation of Conditional Volatility of Multivariate Time Series
vol.111 iss.1 (2024) Interpreting Deep Neural Networks with the Package innsight
vol.111 iss.1 (2024) mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R
vol.111 iss.1 (2024) pyStoNED: A Python Package for Convex Regression and Frontier Estimation
vol.111 iss.1 (2024) Birth-and-Death Processes in Python: The BirDePy Package
vol.111 iss.1 (2024) How to Interpret Statistical Models Using marginaleffects for R and Python
vol.111 iss.1 (2024) fairadapt: Causal Reasoning for Fair Data Preprocessing
vol.110 iss.1 (2024) Weighted scoringRules: Emphasizing Particular Outcomes When Evaluating Probabilistic Forecasts
vol.110 iss.1 (2024) anomaly: Detection of Anomalous Structure in Time Series Data
vol.110 iss.1 (2024) cubble: An R Package for Organizing and Wrangling Multivariate Spatio-Temporal Data
vol.110 iss.1 (2024) makemyprior: Intuitive Construction of Joint Priors for Variance Parameters in R
vol.110 iss.1 (2024) bayesnec: An R Package for Concentration-Response Modeling and Estimation of Toxicity Metrics
vol.110 iss.1 (2024) An Extendable Python Implementation of Robust Optimization Monte Carlo
vol.110 iss.1 (2024) sparsegl: An R Package for Estimating Sparse Group Lasso
vol.110 iss.1 (2024) Emulation and History Matching Using the hmer Package
vol.109 iss.1 (2024) Extremes.jl: Extreme Value Analysis in Julia
vol.109 iss.1 (2024) fHMM: Hidden Markov Models for Financial Time Series in R
vol.109 iss.1 (2024) Generalized Plackett-Luce Likelihoods
vol.109 iss.1 (2024) scikit-fda: A Python Package for Functional Data Analysis
vol.109 iss.1 (2024) bizicount: Bivariate Zero-Inflated Count Copula Regression Using R
vol.109 iss.1 (2024) funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs
vol.109 iss.1 (2024) cpop: Detecting Changes in Piecewise-Linear Signals
vol.109 iss.1 (2024) openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding
vol.109 iss.1 (2024) magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes
vol.109 iss.1 (2024) Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK
vol.108 iss.1 (2024) Modeling Nonstationary Financial Volatility with the R Package tvgarch
vol.108 iss.1 (2024) salmon: A Symbolic Linear Regression Package for Python
vol.108 iss.1 (2024) PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments
vol.108 iss.1 (2024) The R Package tipsae: Tools for Mapping Proportions and Indicators on the Unit Interval
vol.108 iss.1 (2024) CRTFASTGEEPWR: A SAS Macro for Power of Generalized Estimating Equations Analysis of Multi-Period Cluster Randomized Trials with Application to Stepped Wedge Designs
vol.108 iss.1 (2024) Holistic Generalized Linear Models
vol.108 iss.1 (2024) melt: Multiple Empirical Likelihood Tests in R
vol.108 iss.1 (2024) The R Package markets: Estimation Methods for Markets in Equilibrium and Disequilibrium
vol.108 iss.1 (2024) DoubleML: An Object-Oriented Implementation of Double Machine Learning in R
vol.108 iss.1 (2024) gcimpute: A Package for Missing Data Imputation
vol.108 iss.1 (2024) hdpGLM: An R Package to Estimate Heterogeneous Effects in Generalized Linear Models Using Hierarchical Dirichlet Process
vol.107 iss.1 (2023) GMM Estimators for Binary Spatial Models in R
vol.107 iss.1 (2023) Efficient Multiple Imputation for Diverse Data in Python and R: MIDASpy and rMIDAS
vol.107 iss.1 (2023) Modeling Population Growth in R with the biogrowth Package
vol.107 iss.1 (2023) varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models
vol.107 iss.1 (2023) Panel Data Visualization in R (panelView) and Stata (panelview)
vol.107 iss.1 (2023) DataFrames.jl: Flexible and Fast Tabular Data in Julia
vol.107 iss.1 (2023) REndo: Internal Instrumental Variables to Address Endogeneity
vol.107 iss.1 (2023) ARCHModels.jl: Estimating ARCH Models in Julia
vol.107 iss.1 (2023) carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials
vol.107 iss.1 (2023) disaggregation: An R Package for Bayesian Spatial Disaggregation Modeling
vol.106 (2023) pp.19