Small Area Estimation using Fay-Herriot Models with Additive
Logistic Transformation
R package sae.prop version 0.1.2

Small Area Estimation using Averaging Pseudo Area Level Model

Small Area Estimation for Rao and Yu Model

Simulation Tools for Small Area Estimation

Transformations for Unit-Level Small Area Models

Shape Analysis for AI-Reconstructed Images

Generic Data Tagging and Validation Tool

Fault-Tolerant Functional Programming with Automatic
Checkpointing

A Novel SAFE Model for Predicting Climate-Related Extreme Losses

Encrypt and Decrypt Strings, R Objects and Files

Charts for Monitoring Clinical Trial Safety

Interactive Graphics for Monitoring Clinical Trial Safety

Election Vote Counting with Safety Features

Applied Statistics for Economics and Management with R

Clustering via Stochastic Approximation and Gaussian Mixture
Models

Variable Selection using Simulated Annealing

Akaike Information Criterion for Sparse Estimation

An Extension of the Taylor Diagram to Two-Dimensional Vector
Data

Functions Used for SAiVE Group Research, Collaborations, and
Publications
R package SAiVE version 1.0.6

A National Labor Force Survey of Indonesia

Provides Access to Salem Witchcraft Data

The (Adaptive) Elastic Net and Lasso Penalized Sparse Asymmetric
Least Squares (SALES) and Coupled Sparse Asymmetric Least
Squares (COSALES) using Coordinate Descent and Proximal
Gradient Algorithms
R package SALES version 1.0.2

An Implementation of 'Salesforce' APIs Using Tidy Principles

Management Strategy Evaluation for Salmon Species

Search Algorithms and Loss Functions for Bayesian Clustering

Selection and Misclassification Bias Adjustment for Logistic
Regression Models
R package SAMBA version 0.9.0

A Collection of Techniques Correcting for Sample Selection Bias

Seamless Adaptive Multi-Arm Multi-Stage Enrichment

Consistent Plot Rendering and Saving Across Interactive Sessions
and Reports
R package sameplot version 0.1.0

A Semi-Supervised Method for Prediction of Phenotype Event Times

Evaluating Geographic Sampling Bias in Biological Collections