All packages

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MultiplierDEA — 0.1.19

Multiplier Data Envelopment Analysis and Cross Efficiency

multipol — 1.0-9

Multivariate Polynomials

multiRDPG — 1.0.1

Multiple Random Dot Product Graphs

multirich — 2.1.3

Calculate Multivariate Richness via UTC and sUTC

multiridge — 1.11

Fast Cross-Validation for Multi-Penalty Ridge Regression

MultiRNG — 1.2.4

Multivariate Pseudo-Random Number Generation

MultiRobust — 1.0.5

Multiply Robust Methods for Missing Data Problems

multiROC — 1.1.1

Calculating and Visualizing ROC and PR Curves Across Multi-Class Classifications

MultiRR — 1.1

Bias, Precision, and Power for Multi-Level Random Regressions

MultIS — 0.6.2

Reconstruction of Clones from Integration Site Readouts and Visualization

MultiscaleDTM — 0.8.3

Multi-Scale Geomorphometric Terrain Attributes

multiselect — 0.1.0

Selecting Combinations of Predictors by Leveraging Multiple AUCs for an Ordered Multilevel Outcome

multisensi — 2.1-1

Multivariate Sensitivity Analysis

multisite.accuracy — 1.3

Estimation of Accuracy in Multisite Machine-Learning Models

MultisiteMediation — 0.0.4

Causal Mediation Analysis in Multisite Trials

MultiSkew — 1.1.1

Measures, Tests and Removes Multivariate Skewness

multisom — 1.3

Clustering a Data Set using Multi-SOM Algorithm

multispatialCCM — 1.3

Multispatial Convergent Cross Mapping

MultiStatM — 2.0.0

Multivariate Statistical Methods

multitaper — 1.0-17

Spectral Analysis Tools using the Multitaper Method

multitool — 0.1.4

Run Multiverse Style Analyses

multiUS — 1.2.3

Functions for the Courses Multivariate Analysis and Computer Intensive Methods

multivar — 1.1.0

Penalized Estimation of Multiple-Subject Vector Autoregressive (multi-VAR) Models

multivariance — 2.4.1

Measuring Multivariate Dependence Using Distance Multivariance

MultivariateAnalysis — 0.5.0

Pacote Para Analise Multivariada

MultivariateRandomForest — 1.1.5

Models Multivariate Cases Using Random Forests

multivarious — 0.2.0

Extensible Data Structures for Multivariate Analysis

MultiVarMI — 1.0

Multiple Imputation for Multivariate Data

MultiVarSel — 1.1.3

Variable Selection in a Multivariate Linear Model

multivator — 1.1-11

A Multivariate Emulator

multiverse — 0.6.1

'Explorable Multiverse' Data Analysis and Reports

multiview — 0.8

Cooperative Learning for Multi-View Analysis

multiwave — 1.4

Estimation of Multivariate Long-Memory Models Parameters

multiway — 1.0-6

Component Models for Multi-Way Data

MultiwayRegression — 1.2

Perform Tensor-on-Tensor Regression

multiwayvcov — 1.2.3

Multi-Way Standard Error Clustering

MultNonParam — 1.3.9

Multivariate Nonparametric Methods

MultOrdRS — 0.1-3

Model Multivariate Ordinal Responses Including Response Styles

MultRegCMP — 0.1.0

Bayesian Multivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data

MultSurvTests — 0.2

Permutation Tests for Multivariate Survival Analysis

multxpert — 0.1.1

Common Multiple Testing Procedures and Gatekeeping Procedures

MulvariateRandomForestVarImp — 0.0.2

Variable Importance Measures for Multivariate Random Forests

MuMIn — 1.48.4

Multi-Model Inference

munfold — 0.3.5

Metric Unfolding

munsell — 0.5.1

Utilities for Using Munsell Colours

munsellinterpol — 3.0-0

Interpolate Munsell Renotation Data from Hue/Chroma to CIE/RGB

muRL — 0.1-13

Mailmerge using R, LaTeX, and the Web

murphydiagram — 0.12.2

Murphy Diagrams for Forecast Comparisons

muRty — 0.3.1

Murty's Algorithm for k-Best Assignments

MUS — 0.1.6

Monetary Unit Sampling and Estimation Methods, Widely Used in Auditing

musclesyneRgies — 1.2.5

Extract Muscle Synergies from Electromyography

music — 0.1.2

Learn and Experiment with Music Theory

musica — 0.1.3

Multiscale Climate Model Assessment

musicNMR — 1.0

Conversion of Nuclear Magnetic Resonance Spectra in Audio Files

mutationtypes — 0.0.1

Validate and Convert Mutational Impacts Using Standard Genomic Dictionaries

mutoss — 0.1-13

Unified Multiple Testing Procedures

mutossGUI — 0.1-12

A Graphical User Interface for the MuToss Project

mutSignatures — 2.1.1

Decipher Mutational Signatures from Somatic Mutational Catalogs

mutualinf — 1.2.2

Computation and Decomposition of the Mutual Information Index

MuViCP — 1.3.2

MultiClass Visualizable Classification using Combination of Projections

MUVR2 — 0.1.0

Multivariate Methods with Unbiased Variable Selection

MVA — 1.0-8

An Introduction to Applied Multivariate Analysis with R

mvabund — 4.2.1

Statistical Methods for Analysing Multivariate Abundance Data

MVar — 2.2.2

Multivariate Analysis

MVar.pt — 2.2.2

Analise multivariada (brazilian portuguese)

MvBinary — 1.1

Modelling Multivariate Binary Data with Blocks of Specific One-Factor Distribution

mvbutils — 2.8.232

Workspace Organization, Code and Documentation Editing, Package Prep and Editing, Etc

mvcauchy — 1.1

Multivariate Cauchy Distribution

mvcor — 1.0

Correlation Coefficients for Multivariate Data

mvctm — 1.2

Multivariate Variance Components Tests for Multilevel Data

mvdalab — 1.7

Multivariate Data Analysis Laboratory

mvDFA — 0.0.4

Multivariate Detrended Fluctuation Analysis

mverse — 0.1.0

Tidy Multiverse Analysis Made Simple

MVET — 0.1.0

Multivariate Estimates and Tests

mvgam — 1.1.3

Multivariate (Dynamic) Generalized Additive Models

mvgb — 0.0.5

Multivariate Probabilities of Scale Mixtures of Multivariate Normal Distributions via the Genz and Bretz (2002) QRSVN Method

mvglmmRank — 1.2-4

Multivariate Generalized Linear Mixed Models for Ranking Sports Teams

mvGPS — 1.2.2

Causal Inference using Multivariate Generalized Propensity Score

mvhist — 1.1

Multivariate Histograms

mvhtests — 1.0

Multivariate Hypothesis Tests

mvinfluence — 0.9.0

Influence Measures and Diagnostic Plots for Multivariate Linear Models

MVisAGe — 0.2.1

Compute and Visualize Bivariate Associations

MVLM — 0.1.4

Multivariate Linear Model with Analytic p-Values

mvLSW — 1.2.5

Multivariate, Locally Stationary Wavelet Process Estimation

mvLSWimpute — 0.1.1

Imputation Methods for Multivariate Locally Stationary Time Series

mvMAPIT — 2.0.3

Multivariate Genome Wide Marginal Epistasis Test

mvmesh — 1.6

Multivariate Meshes and Histograms in Arbitrary Dimensions

mvmeta — 1.0.3

Multivariate and Univariate Meta-Analysis and Meta-Regression

mvMISE — 1.0

A General Framework of Multivariate Mixed-Effects Selection Models

mvMonitoring — 0.2.4

Multi-State Adaptive Dynamic Principal Component Analysis for Multivariate Process Monitoring

mvMORPH — 1.2.1

Multivariate Comparative Tools for Fitting Evolutionary Models to Morphometric Data

MVN — 5.9

Multivariate Normality Tests

mvna — 2.0.1

Nelson-Aalen Estimator of the Cumulative Hazard in Multistate Models

MVNBayesian — 0.0.8-11

Bayesian Analysis Framework for MVN (Mixture) Distribution

mvnfast — 0.2.8

Fast Multivariate Normal and Student's t Methods

mvngGrAd — 0.1.6

Moving Grid Adjustment in Plant Breeding Field Trials

mvnimpute — 1.0.1

Simultaneously Impute the Missing and Censored Values

mvnmle — 0.1-11.2

ML Estimation for Multivariate Normal Data with Missing Values

mvnormalTest — 1.0.0

Powerful Tests for Multivariate Normality

mvnormtest — 0.1-9-3

Normality Test for Multivariate Variables

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