development

Sequential Test and Change-Point Detection Algorithms Based on E-Values / E-Detectors

Calculate the Standardized Difference for Numeric, Binary and Category Variables

Standardized Moderation Effect and Its Confidence Interval

Regression Standardization

Regression Standardization for Causal Inference

C++ Standard Library Vectors in R

ICA and Tests of Independence via Multivariate Distance Covariance

Testing Steepness of Dominance Hierarchies

Semi-Parametric Stein-Like Estimator with Instrumental Variables

Hawkes and Log-Gaussian Cox Point Processes Using Template Model Builder

Evolutionary Tracks and Isochrones from Pisa Stellar Evolution Database

Reconstructing Tree Growth and Carbon Accumulation with Stem Analysis Data

Stemmatological Analysis of Textual Traditions

Spatio-Temporal Estimation and Prediction for Censored/Missing Responses

Bindings for Stencila Schema

Flexible and Customisable Logging System

Standardization of Raw Discrete Questionnaire Scores

Stepwise Procedure for Beta, Beta-Binomial and Negative Binomial Regression Models

ABC-SMC Inference of STEPCAM

Estimate Step Counts from 'Accelerometry' Data

A Step-Down Procedure to Control the False Discovery Proportion

Stepwise Variable Selection for Generalized Boosted Regression Modeling

A Hybrid Spatial Model for Prediction and Capturing Spatial Variation in the Data

Variable Selection for Joint Modeling of Mean and Dispersion

Interface to 'Python' Package 'StepMix'

Subpopulation Treatment Effect Pattern Plot (STEPP)

Power Calculation for Stepped Wedge Designs

Analyze Data from Stepped Wedge Cluster Randomized Trials

Stepwise Forward Variable Selection in Penalized Regression

L2 Penalized Logistic Regression with Stepwise Variable Selection

Multiscale Change-Point Inference

Stepwise Regression Analysis

Stepwise Predictive Variable Selection for Random Forest

Spatially- and Temporally-Explicit Population Simulator

Step-Wise Signal Extraction via Marginal Likelihood

Stepwise Split Regularized Regression

Multiple Testing Method to Control Generalized Family-Wise Error Rate and False Discovery Proporti…

Stereo Camera Calibration and Reconstruction

Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics

Docker Client

Steve's Miscellaneous Functions

Steve's R Markdown Templates

Steve's 'ggplot2' Themes and Related Theme Elements

Spatio-Temporal Functional Imputation Tool

Statistical Tests for Functional Time Series

Spatially and Temporally Varying Coefficient Models Using Generalized Additive Models

Genomic Selection using Single Trait

Persist Attributes Across Data Operations

Data Frames with Persistent Columns and Attributes

Process Stream Temperature, Intermittency, and Conductivity (STIC) Sensor Data

Read and Modify 'STICS' Input/Output Files

Separable Gaussian Process Interpolation (Emulation)

Incorporating Stability Information into Cross-Sectional Estimates

Simultaneous Threshold Interaction Modeling Algorithm

Stineman, a Consistently Well Behaved Method of Interpolation

STL Decomposition and ARIMA Hybrid Forecasting Model

Hybrid Forecasting Model Based on STL Decomposition and ELM

Spatio-Temporal Analysis of Point Patterns on Linear Networks

Enhanced Seasonal Decomposition of Time Series by Loess

STL Decomposition and TDNN Hybrid Time Series Forecasting

Estimation of the Structural Topic Model

A Tool for Structural Topic Model Visualizations

Rapid and Accurate Genetic Prediction Modeling for Genome-Wide Association or Whole-Genome Sequenc…

Shiny Application for Creating STM Models

A 'Shiny' Application for Inspecting Structural Topic Models

Stochastic Mortality Modelling

Quantile-Quantile Plot with Several Gaussian Simulations

Discovery of Motifs in Spatial-Time Series

Strength Training Manual R-Language Functions

Fit a Spatial Occupancy Model via Gibbs Sampling

Stochastic Blockmodeling of One-Mode and Linked Networks

Stochastic Correlation Modelling via Circular Diffusion

Stochastic Collision Risk Model

Stochastic Profiling using Maximum Likelihood Estimation

Stochastic Limited Memory Quasi-Newton Optimizers

Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference

Efficient Bayesian Inference for Stochastic Volatility (SV) Models

Likelihood Estimation of Stochastic Volatility Models

Equity Valuation using Methods of Fundamental Analysis

Fit Stock Price Distributions

Identifying Stocks in Genetic Data

Stock Market Analysis

Estimating Consistent Tests for Stochastic Dominance

R Functions for Solving Stoichiometric Equations

The Exterior Calculus

Stop Detection in Timestamped Trajectory Data using Spatiotemporal Clustering