EM Bayesian Adaptive LASSO Variational Inference Based GWAS

Robust Bayesian Variable Selection via Expectation-Maximization

Fast Embedding Guided by Self-Organizing Map

Tools to Analyze the Thermal Reaction Norm of Embryo Growth
R package embryogrowth version 2025.12.22

Energy Burden Analysis Using Net Energy Return Methodology

Bayesian Hierarchical Analysis of Cognitive Models of Choice

Evolutionary Version of the Metropolis-Hastings Algorithm

EM Algorithm for Model-Based Clustering of Finite Mixture
Gaussian Distribution

Empirical Mode Decomposition and Hilbert Spectral Analysis

Empirical Mode Decomposition Based Artificial Neural Network
Model

Support Functions and Data for "Ecological Models and Data"

Estimating and Mapping Disaggregated Indicators

Empirical Mode Decomposition Based Support Vector Regression
Model

Estimation for Binary Emax Models with Missing Responses and
Bias Reduction
R package ememax version 0.1.0

Accuracy Statistic Estimation for Imperfect Gold Standards

Ecosystem Multifunctionality: Richness, Divergence, and
Regularity
R package emf version 0.2.0

Exponentially Modified Gaussian (EMG) Distribution

Expectation-Maximization Algorithm for Multivariate Normal
(Gaussian) with Missing Data
R package EMgaussian version 0.2.2

Fit a Mixture Cure Rate Model with Custom Link Function

EM Algorithms for Estimating Item Response Theory Models

Tools for Create Emissions for Air Quality Models

Evolutionary Mode Jumping Markov Chain Monte Carlo Expert
Toolbox

Read and Write Ecological Metadata Language Files

Computationally Efficient Maximum Likelihood Identification of
Linear Dynamical Systems
R package EMLI version 0.3.0

Organize, Handle, and Explore Ecological Multilayer Networks

Estimated Marginal Means, aka Least-Squares Means

A Mixture Model-Based Approach to the Clustering of Microarray
Expression Data
R package EMMIXgene version 0.1.4

Mixture Models with Component-Wise Factor Analyzers

Semi-Supervised Gaussian Mixture Model with a Missing-Data
Mechanism

A Maximum Likelihood Approach to the Analysis of Modularity