All packages

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mvgam — 1.1.3

Multivariate (Dynamic) Generalized Additive Models

mvgb — 0.0.6

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

mvnpermute — 1.0.1

Generate New Multivariate Normal Samples from Permutations

mvnTest — 1.1-0

Goodness of Fit Tests for Multivariate Normality

MVNtestchar — 1.1.3

Test for Multivariate Normal Distribution Based on a Characterization

mvord — 1.2.5

Multivariate Ordinal Regression Models

mvoutlier — 2.1.1

Multivariate Outlier Detection Based on Robust Methods

mvp — 1.0-14

Fast Symbolic Multivariate Polynomials

MVPBT — 1.2-1

Publication Bias Tests for Meta-Analysis of Diagnostic Accuracy Test

mvpd — 0.0.4

Multivariate Product Distributions for Elliptically Contoured Distributions

mvProbit — 0.1-10

Multivariate Probit Models

mvQuad — 1.0-8

Methods for Multivariate Quadrature

MVQuickGraphs — 0.1.2

Quick Multivariate Graphs

MVR — 1.33.0

Mean-Variance Regularization

mvrsquared — 0.1.5

Compute the Coefficient of Determination for Vector or Matrix Outcomes

mvs — 2.0.0

Methods for High-Dimensional Multi-View Learning

mvShapiroTest — 1.0

Generalized Shapiro-Wilk test for multivariate normality

mvSLOUCH — 2.7.6

Multivariate Stochastic Linear Ornstein-Uhlenbeck Models for Phylogenetic Comparative Hypotheses

mvst — 1.1.1

Bayesian Inference for the Multivariate Skew-t Model

mvSUSY — 0.1.0

Multivariate Surrogate Synchrony

MVT — 0.3-81

Estimation and Testing for the Multivariate t-Distribution

MVTests — 2.2.2

Multivariate Hypothesis Tests

mvtmeta — 1.1

Multivariate Meta-Analysis

mvtnorm — 1.3-2

Multivariate Normal and t Distributions

mvtsplot — 1.0-5

Multivariate Time Series Plot

mvvg — 0.1.0

Matrix-Variate Variance-Gamma Distribution

mwa — 0.4.4

Causal Inference in Spatiotemporal Event Data

mwcsr — 0.1.9

Solvers for Maximum Weight Connected Subgraph Problem and Its Variants

mwlaxeref — 0.0.1

Cross-References Lake Identifiers Between Different Data Sets

MWright — 0.3.2

Mainardi-Wright Family of Distributions

mwshiny — 2.1.0

'Shiny' for Multiple Windows

mwTensor — 1.1.0

Multi-Way Component Analysis

mxcc — 0.0.1

Maxwell Control Charts

mxfda — 0.2.2

A Functional Data Analysis Package for Spatial Single Cell Data

mxkssd — 1.2

Efficient Mixed-Level k-Circulant Supersaturated Designs

mxmmod — 1.1.0

Measurement Model of Derivatives in 'OpenMx'

mxnorm — 1.0.3

Apply Normalization Methods to Multiplexed Images

mxsem — 0.1.0

Specify 'OpenMx' Models with a 'lavaan'-Style Syntax

My.stepwise — 0.1.0

Stepwise Variable Selection Procedures for Regression Analysis

mycaas — 0.0.1

My Computerized Adaptive Assessment

Mychisq — 0.1.3

Chi-Squared Test for Goodness of Fit and Independence Test

myClim — 1.3.0

Microclimatic Data Processing

mycobacrvR — 1.1

Integrative Immunoinformatics for Mycobacterial Diseases in R Platform

mycor — 0.1.1

Automatic Correlation and Regression Test in a 'data.frame'

myCRAN — 1.1

Graph of Daily and Cumulative Downloads of your Packages

mzipmed — 1.4.0

Mediation using MZIP Model

n1qn1 — 6.0.1-12

Port of the 'Scilab' 'n1qn1' Module for Unconstrained BFGS Optimization

N2H4 — 0.8.4

Handling Methods for Naver News Text Crawling

N2R — 1.0.3

Fast and Scalable Approximate k-Nearest Neighbor Search Methods using 'N2' Library

na.tools — 0.3.1

Comprehensive Library for Working with Missing (NA) Values in Vectors

naaccr — 3.1.1

Read Cancer Records in the NAACCR Format

nabor — 0.5.0

Wraps 'libnabo', a Fast K Nearest Neighbour Library for Low Dimensions

NAC — 0.1.0

Network-Adjusted Covariates for Community Detection

NACHO — 2.0.6

NanoString Quality Control Dashboard

NADA — 1.6-1.1

Nondetects and Data Analysis for Environmental Data

NADA2 — 1.1.8

Data Analysis for Censored Environmental Data

nadiv — 2.18.0

(Non)Additive Genetic Relatedness Matrices

NAEPirtparams — 1.0.0

IRT Parameters for the National Assessment of Education Progress

NAEPprimer — 1.0.1

The NAEP Primer

naflex — 0.1.1

Flexible Options for Handling Missing Values

naijR — 0.6.1

Operations to Ease Data Analyses Specific to Nigeria

NaileR — 1.2.1

Interpreting Latent Variables with AI

NAIR — 1.0.4

Network Analysis of Immune Repertoire

naive — 1.2.3

Empirical Extrapolation of Time Feature Patterns

naivebayes — 1.0.0

High Performance Implementation of the Naive Bayes Algorithm

naivereg — 1.0.5

Nonparametric Additive Instrumental Variable Estimator and Related IV Methods

nakagami — 1.1.0

Functions for the Nakagami Distribution

NAM — 1.7.3

Nested Association Mapping

name — 0.0.1

Tools for Working with Names

namedropR — 2.4.1

Create Visual Citations for Presentations and Posters

NameNeedle — 1.2.7

Using Needleman-Wunsch to Match Sample Names

namer — 0.1.8

Names Your 'R Markdown' Chunks

nametagger — 0.1.3

Named Entity Recognition in Texts using 'NameTag'

nandb — 2.1.0

Number and Brightness Image Analysis

naniar — 1.1.0

Data Structures, Summaries, and Visualisations for Missing Data

nanoarrow — 0.6.0

Interface to the 'nanoarrow' 'C' Library

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