Build Machine Learning Models Like Using Python's Scikit-Learn
Library in R
R package superml version 0.5.7

Judd, McClelland, & Ryan Formatting for ANOVA Output

R package SuperpixelImageSegmentation version 1.0.5

Simulation-Based Power Analysis for Factorial Designs

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

Detecting Structural Change with Heteroskedasticity

Downloading Supplementary Data from Published Manuscripts

Basic Functions for Supporting an Implementation of Choice
Experiments

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

Subsampling Ranking Forward Selection (SuRF)

Fitting Hansen Models to Investigate Convergent Evolution

Find Optimal Sampling Locations Based on Spatial Covariate(s)

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
R package SurrogateOutcome version 1.1

Rank-Based Test to Evaluate a Surrogate Marker

R package SurrogateRegression version 0.6.0.1

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

Early Testing for a Treatment Effect using Surrogate Marker
Information

Evaluation of Failure Time Surrogate Endpoints in Individual
Patient Data Meta-Analyses
R package surrosurv version 1.1.26

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