Mixture Hidden Markov Models for Sequence Data: The seqHMM Package in R JASP: Graphical Statistical Software for Common Statistical Designs The R Package MAMS for Designing Multi-Arm Multi-Stage Clinical Trials Generalized Autoregressive Score Models in R: The GAS Package Data Analysis Using Hierarchical Generalized Linear Models with R cdfquantreg: An R Package for CDF-Quantile Regression dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis in R ETAS: An R Package for Fitting the Space-Time ETAS Model to Earthquake Data gcKrig: An R Package for the Analysis of Geostatistical Count Data Using Gaussian Copulas extremefit: A Package for Extreme Quantiles Seasonal Adjustment by X-13ARIMA-SEATS in R rTensor: An R Package for Multidimensional Array (Tensor) Unfolding, Multiplication, and Decomposition Visualizing Fit and Lack of Fit in Complex Regression Models with Predictor Effect Plots and Partial Residuals Nonparametric Relative Survival Analysis with the R Package relsurv Flexible Self-Organizing Maps in kohonen 3.0 MTPmle: A SAS Macro and Stata Programs for Marginalized Inference in Semi-Continuous Data SSpace: A Toolbox for State Space Modeling Database-Inspired Optimizations for Statistical Analysis Simulated data for linear regression with structured and sparse penalties: Introducing pylearn-simulate Simulated Data for Linear Regression with Structured and Sparse Penalties: Introducing pylearn-simulate Semiparametric Regression Analysis via Infer.NET Latent Class Probabilistic Latent Feature Analysis of Three-Way Three-Mode Binary Data Flexible Self-Organizing Maps in kohonen 3.0 Computational Methods for Numerical Analysis with R bookdown: Authoring Books and Technical Documents with R Markdown Rqc: A Bioconductor Package for Quality Control of High-Throughput Sequencing Data merDeriv: Derivative Computations for Linear Mixed Effects Models with Application to Robust Standard Errors ggtern: Ternary Diagrams Using ggplot2 bamdit: An R Package for Bayesian Meta-Analysis of Diagnostic Test Data Handbook of Fitting Statistical Distributions with R A Data Scientist's Guide to Acquiring, Cleaning and Managing Data in R Generalized Additive Models: An Introduction with R (2nd Edition) Near-far matching in R: The nearfar package mipfp: An R package for multidimensional array fitting and simulating multivariate bernoulli distributions Image segmentation, registration and characterization in R with simpleITK Calculating probabilistic excursion sets and related quantities using excursions DNest4: Diffusive nested sampling in C++ and python The idm package: Incremental decomposition methods in R Logbin: An R package for relative risk regression using the log-binomial model mbonsai: Application package for sequence classification by tree methodology Downscale: An R package for downscaling species occupancy from coarse-grain data to predict occupancy at fine-grain sizes Flexcwm: A flexible framework for cluster-weighted models General semiparametric shared frailty model: Estimation and simulation with frailtysurv Rectangular statistical cartograms in R: The recmap package Automated general-to-specific (GETS) regression modeling and indicator saturation for outliers and structural breaks Supervised multiblock analysis in R with the ade4 package Developer-Friendly and Computationally Efficient Predictive Modeling without Information Leakage: The emil Package for R rmcfs: An R Package for Monte Carlo Feature Selection and Interdependency Discovery NeuralNetTools: Visualization and Analysis Tools for Neural Networks ContaminatedMixt: An R Package for Fitting Parsimonious Mixtures of Multivariate Contaminated Normal Distributionsf