All packages

· A · B · C · D · E · F · G · H · I · J · K · L · M · N · O · P · Q · R · S · T · U · V · W · X · Y · Z ·

mtvc — 1.1.0

Multiple Counting Process Structure for Survival Analysis

MUACz — 2.1.0

Generate MUAC and BMI z-Scores and Percentiles for Children and Adolescents

MuChPoint — 0.6.3

Multiple Change Point

muckrock — 0.1.0

Data on Freedom of Information Act Requests

mudfold — 1.1.21

Multiple UniDimensional unFOLDing

mueRelativeRisk — 0.1.1

Relative Risk Based on the Ratio of Median Unbiased Estimates

muhaz — 1.2.6.4

Hazard Function Estimation in Survival Analysis

muir — 0.1.0

Exploring Data with Tree Data Structures

mulea — 1.1.0

Enrichment Analysis using Multiple Ontologies and False Discovery Rate

mulgar — 1.0.2

Functions for Pre-Processing Data for Multivariate Data Visualisation using Tours

MullerPlot — 0.1.3

Generates Muller Plot from Population/Abundance/Frequency Dynamics Data

mully — 2.1.38

Create, Modify and Visualize Multi-Layered Networks

mulSEM — 1.0

Some Multivariate Analyses using Structural Equation Modeling

mulset — 1.0.0

Multiset Intersection Generator

mult.latent.reg — 0.1.9

Regression and Clustering in Multivariate Response Scenarios

MultAlloc — 1.2

Optimal Allocation in Stratified Sampling

MultBiplotR — 23.11.0

Multivariate Analysis Using Biplots in R

multbxxc — 1.0.3

Auxiliary Routines for Influx Software

multcomp — 1.4-26

Simultaneous Inference in General Parametric Models

multcompView — 0.1-10

Visualizations of Paired Comparisons

multDM — 1.1.4

Multivariate Version of the Diebold-Mariano Test

multe — 1.1.0

Multiple Treatment Effects Regression

MultEq — 2.4

Multiple Equivalence Tests and Simultaneous Confidence Intervals

multfisher — 1.1

Optimal Exact Tests for Multiple Binary Endpoints

multgee — 1.9.0

GEE Solver for Correlated Nominal or Ordinal Multinomial Responses

multiActionButton — 1.0.0

Multi Action Button for 'Shiny' Applications

multiApply — 2.1.4

Apply Functions to Multiple Multidimensional Arrays or Vectors

multiAssetOptions — 0.1-2

Finite Difference Method for Multi-Asset Option Valuation

MultiATSM — 0.3.6

Multicountry Term Structure of Interest Rates Models

MultiBD — 0.2.0

Multivariate Birth-Death Processes

multibias — 1.5.3

Simultaneous Multi-Bias Adjustment

multibiasmeta — 0.2.2

Sensitivity Analysis for Multiple Biases in Meta-Analyses

multibiplotGUI — 1.1

Multibiplot Analysis in R

multiblock — 0.8.8.2

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 — 1.1

Multinomial Cochran-Armitage Trend Test

multicastR — 2.0.0

A Companion to the Multi-CAST Collection

multichull — 3.0.0

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 — 1.2.2

Multivariate Analysis and Visualization for Biological Data

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

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

multilaterals — 1.0

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 — 1.3.0.2

Estimate Bayesian Multilevel Models for Compositional Data

multilevelmediation — 0.3.1

Utility Functions for Multilevel Mediation Analysis

multilevelmod — 1.0.0

Model Wrappers for Multi-Level Models

multilevelPSA — 1.2.5

Multilevel Propensity Score Analysis

multilevelTools — 0.1.1

Multilevel and Mixed Effects Model Diagnostics and Effect Sizes

multilevLCA — 1.5.1

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

multimorbidity — 0.5.1

Harmonizing Various Comorbidity, Multimorbidity, and Frailty Measures

multiness — 1.0.2

MULTIplex NEtworks with Shared Structure

multinet — 4.2

Analysis and mining of multilayer social networks

multinets — 0.2.2

Multilevel Networks Analysis

multinma — 0.7.2

Bayesian Network Meta-Analysis of Individual and Aggregate Data

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 — 2.4.3

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 — 3.4

Algebraic Tools for the Analysis of Multiple Social Networks

MultiplierDEA — 0.1.19

Multiplier Data Envelopment Analysis and Cross Efficiency

Next page