Multi-Layer Perceptron Neural Network with Optional Monotonicity
Constraints
R package monmlp version 1.1.5-1

Monotonic Binning for Credit Rating Models

Shiny User Interface for 'monobin' Package

Easily Create, View and Use Monochrome Colour Palettes

Perform Monothetic Clustering with Extensions to Circular Data

Estimation for MVN and Student-t Data with Monotone Missingness

Explore Monophyly of Taxonomic Groups in a Phylogeny

Bayesian Monotonic Regression Using a Marked Point Process
Construction
R package monoreg version 2.1

Nonparametric Estimation and Inference of a Monotone Hazard
Ratio Function
R package MonotoneHazardRatio version 0.2.0

Test for Monotonicity in Expected Asset Returns, Sorted by
Portfolios

Nonparametric Bootstrap Test for Regression Monotonicity

Automatic Parallelized Monte Carlo Simulations

Core Mathematical Functions for Multi-Objective Optimization

Multi-Objective Optimal Design of Experiments

R Markdown format for 'Moodle' XML cloze quizzes

Easily Create Fully Randomized 'Moodle' Test Questions

Helper Functions to Work with 'Moodle' Data

Functions and Datasets for the Book by Keon-Woong Moon

Graphical Visualizations for Multi-Objective Optimization

Mean Squared Out-of-Sample Error Projection

Collection of Datasets Pertaining to Loop 1 "Mopac"

Basic Quality Data Assurance for Epidemiological Research

Interpretation Tools for Partial Least Squares Regression

3D Segmentation of Voxels into Morphologic Classes

R package morphemepiece.data version 1.2.0

Calculations and Visualisations Related to Geometric
Morphometrics

Morphometric Maps, Bone Landmarking and Cross Sectional Geometry

Geometric Morphometric Tools to Align, Scale, and Compare
"Shape" of Menstrual Cycle Hormones
R package moRphomenses version 1.0.3

Analysis of Regionalization Patterns in Serially Homologous
Structures

Simulate Discrete Character Data along Phylogenetic Trees

Historical Agricultural Data from the University of Illinois

Modelling Reproduction and Survival Data in Ecotoxicology

Bayesian Inference of Binary, Count and Continuous Data in
Toxicology