All packages

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multiblock — 0.8.10

Multiblock Data Fusion in Statistics and Machine Learning

multibreakeR — 0.1.0

Tests for a Structural Change in Multivariate Time Series

multibridge — 1.2.0

Evaluating Multinomial Order Restrictions with Bridge Sampling

multiCA — 1.2.0

Multinomial Cochran-Armitage Trend Test

multicastR — 2.0.0

A Companion to the Multi-CAST Collection

multichull — 3.0.1

A Generic Convex-Hull-Based Model Selection Method

multiclassPairs — 0.4.3

Build MultiClass Pair-Based Classifiers using TSPs or RF

MultiClassROC — 0.1.0

ROC Curves for Multi-Class Analysis

multicmp — 1.1

Flexible Modeling of Multivariate Count Data via the Multivariate Conway-Maxwell-Poisson Distribution

MultiCOAP — 1.1

High-Dimensional Covariate-Augmented Overdispersed Multi-Study Poisson Factor Model

multiColl — 2.0

Collinearity Detection in a Multiple Linear Regression Model

multicool — 1.0.1

Permutations of Multisets in Cool-Lex Order

multid — 1.0.0

Multivariate Difference Between Two Groups

multiDimBio — 1.2.5

Multivariate Analysis and Visualization for Biological Data

multiDoE — 0.9.4

Multi-Criteria Design of Experiments for Optimal Design

multidplyr — 0.1.3

A Multi-Process 'dplyr' Backend

multifamm — 0.1.1

Multivariate Functional Additive Mixed Models

multiFANOVA — 0.1.0

Multiple Contrast Tests for Functional Data

multifear — 0.1.3

Multiverse Analyses for Conditioning Data

MultiFit — 1.1.1

Multiscale Fisher's Independence Test for Multivariate Dependence

multifunc — 0.9.4

Analysis of Ecological Drivers on Ecosystem Multifunctionality

multifwf — 0.2.2

Read Fixed Width Format Files Containing Lines of Different Type

MultiGlarmaVarSel — 1.0

Variable Selection in Sparse Multivariate GLARMA Models

multigraph — 0.99-3

Plot and Manipulate Multigraphs

multigraphr — 0.2.0

Probability Models and Statistical Analysis of Random Multigraphs

MultiGrey — 0.1.0

Fitting and Forecasting of Grey Model for Multivariate Time Series Data

MultiGroupO — 0.4.0

MultiGroup Method and Simulation Data Analysis

MultiGroupSequential — 1.1.0

Group-Sequential Procedures with Multiple Hypotheses

MultiJoin — 0.1.1

Enables Efficient Joining of Data File on Common Fields using the Unix Utility Join

MultiKink — 0.2.0

Estimation and Inference for Multi-Kink Quantile Regression

multilandr — 1.0.0

Landscape Analysis at Multiple Spatial Scales

multilaterals — 2.0

Transitive Index Numbers for Cross-Sections and Panel Data

MultiLCIRT — 2.11

Multidimensional Latent Class Item Response Theory Models

multilevel — 2.7

Multilevel Functions

multilevelcoda — 1.3.1

Estimate Bayesian Multilevel Models for Compositional Data

multilevelmediation — 0.4.1

Utility Functions for Multilevel Mediation Analysis

multilevelmod — 1.0.0

Model Wrappers for Multi-Level Models

multilevelPSA — 1.3.0

Multilevel Propensity Score Analysis

multilevelTools — 0.2.0

Multilevel and Mixed Effects Model Diagnostics and Effect Sizes

multilevLCA — 2.0.1

Estimates and Plots Single-Level and Multilevel Latent Class Models

multilinguer — 0.2.4

Gentle Language Installer for R User

multilink — 0.1.1

Multifile Record Linkage and Duplicate Detection

multimark — 2.1.6

Capture-Mark-Recapture Analysis using Multiple Non-Invasive Marks

multiMarker — 1.0.1

Latent Variable Model to Infer Food Intake from Multiple Biomarkers

multimedia — 0.2.0

Multimodal Mediation Analysis

multimix — 1.0-10

Fit Mixture Models Using the Expectation Maximisation (EM) Algorithm

multimode — 1.5

Mode Testing and Exploring

multimolang — 0.1.1

'multimolang': Multimodal Language Analysis

multimorbidity — 0.5.1

Harmonizing Various Comorbidity, Multimorbidity, and Frailty Measures

multiness — 1.0.2

MULTIplex NEtworks with Shared Structure

multinet — 4.2.2

Analysis and Mining of Multilayer Social Networks

multinets — 0.2.2

Multilevel Networks Analysis

multinma — 0.8.0

Bayesian Network Meta-Analysis of Individual and Aggregate Data

MultiNMix — 0.1.0

Multi-Species N-Mixture (MNM) Models with 'nimble'

MultinomialCI — 1.2

Simultaneous Confidence Intervals for Multinomial Proportions According to the Method by Sison and Glaz

multinomialLogitMix — 1.1

Clustering Multinomial Count Data under the Presence of Covariates

multinomineq — 0.2.6

Bayesian Inference for Multinomial Models with Inequality Constraints

multIntTestFunc — 0.3.0

Provides Test Functions for Multivariate Integration

MultiObjMatch — 1.0.0

Multi-Objective Matching Algorithm

multiocc — 0.2.1

Fits Multivariate Spatio-Temporal Occupancy Model

MultiOrd — 2.4.4

Generation of Multivariate Ordinal Variates

multipanelfigure — 2.1.6

Infrastructure to Assemble Multi-Panel Figures (from Grobs)

MultiPhen — 2.0.3

A Package to Test for Multi-Trait Association

MultipleBreakpoints — 0.1.0

Estimating Multiple Breakpoints for a Sequence of Realizations of Bernoulli Variables

MultipleBubbles — 0.2.0

Test and Detection of Explosive Behaviors for Time Series

multipleDL — 1.0.0

Addressing Detection Limits by Cumulative Probability Models (CPMs)

multipleNCC — 1.2-4

Weighted Cox-Regression for Nested Case-Control Data

multipleOutcomes — 0.4

Asymptotic Covariance Matrix of Regression Models for Multiple Outcomes

MultipleRegression — 0.1.0

Multiple Regression Analysis

multiplestressR — 0.1.1

Additive and Multiplicative Null Models for Multiple Stressor Data

multiplex — 3.9

Algebraic Tools for the Analysis of Multiple Social Networks

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

MultIS — 0.6.2

Reconstruction of Clones from Integration Site Readouts and Visualization

MultiscaleDTM — 0.9.1

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

MultiTraits — 0.5.0

Analyzing and Visualizing Multidimensional Plant Traits

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

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