Mean Square Prediction Error Estimation in Small Area Estimation

Extra Functions for 'gtsummary' Table Styling

Easy Calculation and Visualisation of Confidence Intervals

Generate Summary Tables for Categorical, Ordinal, and Continuous
Data

Tools to Quickly and Neatly Summarize Data

Publication-Ready Summary Tables and Forest Plots

Small-Area-Estimation Unit/Area Models and Methods for
Estimation in R
R package SUMMER version 2.0.0

Generating Multi-Omics Datasets for Testing and Benchmarking

Permutation True Discovery Guarantee by Sum-Based Tests

Utilizing Automated Text Analysis to Support Interpretation of
Narrative Feedback
R package sumup version 1.0.3

Summarise and Explore Continuous, Categorical and Date Variables

R package sunburstShinyWidget version 0.5.0

Compute Sun Position, Sunlight Phases, Moon Position and Lunar
Phase

An Interface to 'SUNDIALS' Ordinary Differential Equation (ODE)
Solvers

Sub-National Geospatial Data Archive: Geoprocessing Toolkit

Constructing Suns-Voc from Outdoor Time-Series I-V Curves

Calculate Sun Position, Sunrise, Sunset, Solar Noon and Twilight

Supervised Clustering of Predictor Variables Such as Genes

Simplification of scRNA-Seq Data by Merging Together Similar
Cells

A Comprehensive Test Suite for Testing Markov Chain
Nonconvergence

Exact Test and Visualization of Multi-Set Intersections

Superfast Likelihood Inference for Stationary Gaussian Time
Series

Judd, McClelland, & Ryan Formatting for ANOVA Output

R package SuperpixelImageSegmentation version 1.0.6

Simulation-Based Power Analysis for Factorial Designs

Understand Individual-Level Variation in Infectious Disease
Transmission

A Unified Framework for Machine Learning Ensembles in Survival
Analysis

Supervised Classification Learning and Prediction using Patient
Rule Induction Method (PRIM)
R package supervisedPRIM version 2.0.0

Detecting Structural Change with Heteroskedasticity

Basic Functions for Supporting an Implementation of Choice
Experiments

Support Functions for Wrangling and Visualization

Companion to "Statistics Using R: An Integrative Approach"