development

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

Simulation-Based Power Analysis for Factorial Designs

Sequential Rank Agreement

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)

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

Information Theoretic Analysis of Gene Expression Data

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

Interpretable Survival Machine Learning Framework

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

Survival Model Validation Utilities

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

Survival Distribution Container with Flexible Interpolation Methods

Deep Neural Networks for Survival Analysis with R 'torch'

Improved Methods for Survival Analysis under Double Truncation

Time Series Models for Disease Surveillance

Comparing Multiple Survival Functions with Crossing Hazards

Methods for the Evaluation of Survival Models

Explainable Machine Learning in Survival Analysis

Bayesian Flexible Parametric Survival Modelling and Extrapolation

Analysis of Complex Survey Samples

Bootstrap with Survey Data

Canonical Correlation for Survey Data

Core Survey Analysis Infrastructure

Cross Validation Based on Survey Design

Tools to Work with Survey Data

Survey Defense Tool

Markdown-Based Programmable Surveys Using 'Quarto' and 'shiny'

Quickly Explore Complex Survey Data

Network Representations of Attitudes

Neural Network for Complex Survey Data

Survey Planning Tools

Mapping the Prevalence of Binary Indicators using Survey Data in Small Areas

Survey Standard Error Estimation for Cumulated Estimates and their Differences in Complex Panel De…

Search and Examine Variables Across Survey Datasets

Estimation of Population Total under Complex Sampling Design

Survey Data Cleaning, Weighting and Analysis

Streamlining Complex Survey Estimation and Reliability Assessment in R

Tidy 'dplyr'/'tidyr' Verbs for Survey Design Objects

Survey Value of Information