Small Area Estimation using HB for Rao Yu Model under Beta
Distribution
R package saeHB.panel.beta version 0.1.3

Basic Unit Level Model using Hierarchical Bayesian Approach

Small Area Estimation using Hierarchical Bayesian under Zero
Inflated Binomial Distribution
R package saeHB.ZIB version 0.1.1

Small Area Estimation Non-Parametric Based Nadaraya-Watson
Kernel

Small Area Estimation with Measurement Error

Stochastic Approximation Expectation Maximization (SAEM)
Algorithm
R package saemix version 3.3

Compute MSPE Estimates for the Fay Herriot Model and Nested
Error Regression Model
R package saeMSPE version 1.2

Small Area Estimation with Cluster Information for Estimation of
Non-Sampled Areas
R package saens version 0.1.0

Small Area Estimation using Averaging Pseudo Area Level Model

Simulation Tools for Small Area Estimation

Transformations for Unit-Level Small Area Models

Shape Analysis for AI-Reconstructed Images

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

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

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