Estimating the Minimal Clinically Important Difference

Metabolic Pathway Completeness and Abundance Calculation

Multinomial Logit Models for Categorical Responses and Discrete
Choices

Gaussian Mixture Modelling for Model-Based Clustering,
Classification, and Density Estimation
R package mclust version 6.1.2

Estimating and Testing Intergenerational Social Mobility Effect
R package MCM version 0.1.7

Mapping First Moment and C-Statistic to the Parameters of
Distributions for Risk
R package mcmapper version 0.0.11

Posterior Distribution of Extreme Value Models in R

Ensemble Sampler for Affine-Invariant MCMC

Precision of Discrete Parameters in Transdimensional MCMC

Markov Chain Monte Carlo Small Area Estimation

Prepare MCMCtree Analyses and Plot Bayesian Divergence Time
Analyses Estimates on Trees
R package MCMCtreeR version 1.1

Tools to Visualize, Manipulate, and Summarize MCMC Output

A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem

Estimating Public and Private Sector Contraceptive Market Supply
Shares

Multiple Criteria Optimization Algorithms and Related Functions
R package mco version 1.17

Monte Carlo Solution of First Order Differential Equations

Creates New Folders and Loads Standard Practices for Monterey
County Office of Education
R package MCOE version 0.6.0

Objects and Methods for Multi-Companion Matrices

Multiple Comparisons Using Normal Approximation

A Simplified Interface for Running Commands on Parallel
Processes

Design and Analysis of Dose-Finding Studies

Improved Inference in Multiple Comparison Procedure – Modelling

A Supplement to the 'DoseFinding' Package for the General Case

Simulation-Based Design and Analysis of Dose-Finding Trials

Testing Generalized Linear Hypotheses for Generalized Linear
Model Parameters by Profile Deviance
R package mcprofile version 1.0-1

Progress Bars and Messages for Parallel Processes

Model Context Protocol Servers and Clients

Processing and Analyzing of Diagnostics Trials

Method Comparison Regression - Mcr Fork for M- And MM-Deming
Regression

Determine the Optimal Number of Clusters