Ensemble Sampler for Affine-Invariant MCMC

Functions to Store, Manipulate and Display Markov Chain Monte
Carlo (MCMC) Output
R package mcmcOutput version 0.1.3

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 1.16

Creates New Folders and Loads Standard Practices for Monterey
County Office of Education
R package MCOE version 0.4.0

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

Processing and Analyzing of Diagnostics Trials

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

Determine the Optimal Number of Clusters

Visualize Results of Statistical Hypothesis Tests

Monte Carlo Statistical Simulation Tools Using a Functional
Approach

Tools to Process the Munich ChronoType Questionnaire (MCTQ)

Selecting Bandwidth for Kernel Density Estimator with Minimum
Distance Method
R package md version 1.0.4

Produces Markdown Log File with a Built-in Function Call

Markdown Parser Implemented using the 'MD4C' Library

Mixture and Flexible Discriminant Analysis

Inferring Causal Network from Mixed Observational Data Using a
Directed Acyclic Graph
R package mDAG version 1.2.2

Multivariate Data Analysis for Chemometrics