development

Tools to Quickly and Neatly Summarize Data

Module to Compute Influence and Leverage Statistics for Regression Models with Clustered Errors

Small-Area-Estimation Unit/Area Models and Methods for Estimation in R

Generating Multi-Omics Datasets for Testing and Benchmarking

Approximate Summation of Series

Permutation True Discovery Guarantee by Sum-Based Tests

Summarise Continuous, Date and Categorical Variables, Check for Duplicates and Missing Data

Sunburst 'Htmlwidget'

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

Sun Position and Daylight Calculations

Survival Analysis using Copulas

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

The Self-Updating Process Clustering Algorithms

Supervised Clustering of Predictor Variables Such as Genes

Supervised Cluster Analysis

Interpreted String Literals

Summary Plots with Adjusted Error Bars

Generating Robust Biclusters from a Bicluster Set (Ensemble Biclustering)

Simplification of scRNA-Seq Data by Merging Together Similar Cells

Superpixels of Spatial Data

Supervised Compression of Big Data

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

A Graphical Tool for Exploring Complex Datasets Using Heatmaps

Super Learner Prediction

SuperLearner Method for MICE

Build Machine Learning Models Like Using Python's Scikit-Learn Library in R

Judd, McClelland, & Ryan Formatting for ANOVA Output

Supervised Principal Components

Superpixel Image Segmentation

Sequential Rank Agreement

Understand Individual-Level Variation in Infectious Disease Transmission

Supervised Classification Learning and Prediction using Patient Rule Induction Method (PRIM)

Detecting Structural Change with Heteroskedasticity

Downloading Supplementary Data from Published Manuscripts

Supplementary Distributions

Support Points

Support Functions for Wrangling and Visualization

Companion to "Statistics Using R: An Integrative Approach"

Bayesian Analysis of Seemingly Unrelated Regression Models

Surrogate Residuals for Ordinal and General Regression Models

A Novel Multi-Disease Automated Phenotyping Method for the EHR

Fitting Hansen Models to Investigate Convergent Evolution

Find Optimal Sampling Locations Based on Spatial Covariate(s)

Calculate Surface/Image Texture Indexes

Create Datasets with Hidden Images in Residual Plots

Evaluation of Surrogate Endpoints in Clinical Trials

Flexible Evaluation of Surrogate Markers with Bayesian Model Averaging

Estimation of the Proportion of Treatment Effect Explained by Surrogate Outcome Information

Empirical Testing of Surrogate Paradox Assumptions

Rank-Based Test to Evaluate a Surrogate Marker

Surrogate Outcome Regression Analysis

Goodness-of-Fit Analysis for Categorical Data using the Surrogate R-Squared

Group Sequential Testing of a Treatment Effect Using a Surrogate Marker

Early Testing for a Treatment Effect using Surrogate Marker Information

Evaluation of Failure Time Surrogate Endpoints in Individual Patient Data Meta-Analyses

Surrogate Survival ROC

LaTeX descriptive statistic reporting for survey data

Cox Non-Proportional Hazards Model with Time-Varying Coefficients

Inference for Model-Free Between-Group Parameters for Censored Survival Data

Survival Data Analysis using Average Hazard

Estimators of Prediction Accuracy for Time-to-Event Data

Two-Sample Tests Based on Differences of Kaplan-Meier Curves

Concordance Based Bootstrap Methods for Outlier Detection in Survival Analysis

C-Statistics for Risk Prediction Models with Censored Survival Data

Nested Cross-Validation to Compare Cox-PH, Cox-Lasso, Survival Random Forests

Correlation of Bivariate Survival Times

Plots Survival Curves Element by Element

Discrete Time Survival and Longitudinal Data Analysis

Deep Neural Networks for Survival Analysis Using 'torch'

Time Series Models for Disease Surveillance

Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena

Comparing Multiple Survival Functions with Crossing Hazards

Methods for the Evaluation of Survival Models