development

Maximum Matching for General Weighted Graph

Fitting 'Maxent' Species Distribution Models with 'glmnet'

Approximate Maximisation of Nestedness in Bipartite Graphs

Maximum Projection Designs

Orthogonal Data Projections with Maximal Skewness

Maximally Selected Rank Statistics

The Maybe Monad

Utility Functions for Production R Code

Manage Spatial Metadata for Known Locations

Efficient Rolling Functions

Thematic Plots for Mazama Spatial Datasets

Spatial Data Download and Utility Functions

Core Functionality for Environmental Time Series

Mediation Analysis for Zero-Inflated Mediators

Generate Recursive Mazes

Elithorn Maze Generator

Monotonic Association on Zero-Inflated Data

Utilities for Making and Plotting Mazes

The Use of Marginal Distributions in Conditional Forecasting

Multilevel B-Spline Approximation

Multiblock Exploratory and Predictive Data Analysis

Model Based Bio-Equivalence

Maxwell Boltzmann Bose Einstein Fermi Dirac Distribution and Destruction Rate Modelling

Statistical Functions for the Maxwell-Boltzmann-Bose-Einstein-Fermi-Dirac (MBBEFD) Family of Distr…

Multivariate Bias Correction of Climate Model Outputs

Companion Package for the Book "Model-Based Clustering and Classification for Data Science"

Matrix Bending

The MBESS R Package

Moment-Based Estimation for Hierarchical Models

Spatial Designs for Ecological and Environmental Surveys

Magnitude-Based Inferences

Median-Based Linear Models

Nucleic Acid Melting Curve Analysis

Medulloblastoma Subgroups Prediction

Microbiome Mixture Analysis

Dose-Response MBNMA Models

Run Time-Course Model-Based Network Meta-Analysis (MBNMA) Models

Model-Based Boosting

Mass Balance Reconstruction

Model-Based Response Dimension Reduction

Estimation and Inference for Structural Breaks in Linear Regression Models

Exploration of Multiple Biomarker Responses using Effect Size

Median Bias Reduction in Binomial-Response GLMs

Multivariate Bayesian Sparse Group Selection with Spike and Slab

Multivariate Bayesian Model with Shrinkage Priors

Multivariate Bayesian Structural Time Series

Bayesian Variable Selection Methods for Multivariate Data

Tools for Two-Dimensional Monte-Carlo Simulations

Optimal Nonparametric Testing of Missing Completely at Random

Multivariate Cauchy Distribution; Kullback-Leibler Divergence

Multiple Correspondence Analysis Variants

Model Confidence Bounds

Monte Carlo Simulation for Surface Backscattering

Matrix Computation Based Identification of Prime Implicants

Multi-Calibration Boosting

Multi-Category Classification Accuracy

Visualizing Class Specific Heterogeneous Tendencies in Categorical Data

Creates the MCC-F1 Curve and Calculates the MCC-F1 Metric and the Best Threshold

Process an MCMC Sample of Clusterings

Mixed Correlation Coefficient Matrix

Analysis of Matched Case Control Data with a Mismeasured Exposure that is Accompanied by Instrumen…

The Matthews Correlation Coefficient

Support for the Multicriteria Decision Aiding Process

Maximum Likelihood Estimation for Generalized Linear Mixed Models

Multivariate Cluster Elastic Net

Machine Coded Genetic Algorithms for Real-Valued Optimization Problems

Markov Chain Gaussian Fields Simulation and Parameter Estimation

Warnes and Raftery's 'MCGibbsit' MCMC Run Length and Convergence Diagnostic

Monte Carlo Hypothesis Tests with Sequential Stopping

Multiplicative Competitive Interaction (MCI) Model

Estimating the Minimal Clinically Important Difference

Markov Cluster Algorithm