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