Sample Size Calculation for RNA-Seq Experimental Design

Semi-Supervised Learning under a Mixed-Missingness Mechanism in
Finite Mixture Models
R package SSLfmm version 0.1.0

Fit and Analyze Smooth Supersaturated Models

Skew Scale Mixtures of Normal Distributions

Bayesian State-Space Modeling of Mouse-Tracking Experiments via
Stan

Robust Estimators for Multi-Group and Spatial Data

Robust Estimation and Inference in Sample Selection Models

Scale-Shape Mixtures of Skew-Normal Distributions

Bayesian Spatio-Temporal Analysis in Stream Networks

Stream Suitable Online Support Vector Machines

Simulated Sampling Procedure for Community Ecology

Spatial Surplus Production Model Framework for Northern Shrimp
Populations
R package sspm version 1.1.0

Estimating Hidden Population Size using Respondent Driven
Sampling Data

Sample Size Determination for Longitudinal Designs with Binary
Outcome

Sample Size Calculation using Restricted Mean Survival Time

Import Files in the Triple-s (Standard Survey Structure) Format
R package sss version 0.2.2

Bootstrap Stacking of Random Forest Models for Heterogeneous
Data

Toolkit for Reduced Form and Structural Smooth Transition Vector
Autoregressive Models
R package sstvars version 1.2.3

Functions for Stochastic Search Variable Selection (SSVS)

Striped Smith-Waterman Algorithm for Sequence Alignment using
SIMD
R package ssw version 0.2.1

Fitting Semi-Parametric log-Symmetric Regression Models

Shrinkage t Statistic and Correlation-Adjusted t-Score

Seasonal Trend Analysis for Time Series Imagery in R

Stability Analysis of Genotype by Environment Interaction (GEI)

Stability Analysis App for GEI in Multi-Environment Trials

Stabilizing Regression and Variable Selection
R package StabilizedRegression version 1.1

Probability Functions and Generalized Regression Models for
Stable Distributions
R package stable version 1.1.6

Estimate the Four Parameters of Stable Laws using Different
Methods

A Stable Gelman-Rubin Diagnostic for Markov Chain Monte Carlo

Stability Assessment of Statistical Learning Methods