All packages

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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 — 1.3-1

Multivariate Normal and t Distributions

mvtsplot — 1.0-5

Multivariate Time Series Plot

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

mxfda — 0.2.1

A Functional Data Analysis Package for Spatial Single Cell Data

mxkssd — 1.2

Efficient Mixed-Level k-Circulant Supersaturated Designs

MXM — 1.5.5

Feature Selection (Including Multiple Solutions) and Bayesian Networks

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

Mychisq — 0.1.3

Chi-Squared Test for Goodness of Fit and Independence Test

myClim — 1.2.0

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 — 0.1.0

Flexible Options for Handling Missing Values

naijR — 0.6.0

Operations to Ease Data Analyses Specific to Nigeria

NaileR — 1.2.0

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 — 0.5.0.1

Interface to the 'nanoarrow' 'C' Library

nanonext — 1.3.0

NNG (Nanomsg Next Gen) Lightweight Messaging Library

nanoparquet — 0.3.1

Read and Write 'Parquet' Files

nanostringr — 0.4.2

Performs Quality Control, Data Normalization, and Batch Effect Correction for 'NanoString nCounter' Data

nanotime — 0.3.10

Nanosecond-Resolution Time Support for R

NAP — 1.1

Non-Local Alternative Priors in Psychology

naptanr — 1.0.1

Call the 'NaPTAN' API Through R

naptime — 1.3.0

A Flexible and Robust Sys.sleep() Replacement

nardl — 0.1.6

Nonlinear Cointegrating Autoregressive Distributed Lag Model

narray — 0.5.1

Subset- And Name-Aware Array Utility Functions

naryn — 2.6.30

Native Access Medical Record Retriever for High Yield Analytics

nasadata — 0.9.0

Interface to Various NASA API's

nasapower — 4.2.1

NASA POWER API Client

nasaweather — 0.1

Collection of datasets from the ASA 2006 data expo

nascaR.data — 1.0.0

NASCAR Race Data

NasdaqDataLink — 1.0.0

API Wrapper for Nasdaq Data Link

naspaclust — 0.2.1

Nature-Inspired Spatial Clustering

nat — 1.8.24

NeuroAnatomy Toolbox for Analysis of 3D Image Data

nat.nblast — 1.6.7

NeuroAnatomy Toolbox ('nat') Extension for Assessing Neuron Similarity and Clustering

nat.templatebrains — 1.1

NeuroAnatomy Toolbox ('nat') Extension for Handling Template Brains

nat.utils — 0.6.1

File System Utility Functions for 'NeuroAnatomy Toolbox'

natcpp — 0.1.0

Fast C++ Primitives for the 'NeuroAnatomy Toolbox'

natmanager — 0.5.1

Install the 'Natverse' Packages from Scratch

NatParksPalettes — 0.2.0

Color Palettes Inspired by National Parks

natserv — 1.0.0

'NatureServe' Interface

natstrat — 2.0.0

Obtain Unweighted Natural Strata that Balance Many Covariates

natural — 0.9.0

Estimating the Error Variance in a High-Dimensional Linear Model

naturaList — 0.5.2

Classify Occurrences by Confidence Levels in the Species ID

naturalsort — 0.1.3

Natural Ordering

NatureSounds — 1.0.4

Animal Sounds for Bioacustic Analysis

navigation — 0.0.1

Analyze the Impact of Sensor Error Modelling on Navigation Performance

navigatr — 0.2.1

Navigation Menu for Pipe-Friendly Data Processing

nawtilus — 0.1.4

Navigated Weighting for the Inverse Probability Weighting

NB.MClust — 1.1.1

Negative Binomial Model-Based Clustering

NBAloveR — 0.1.3.3

Help Basketball Data Analysis

nbapalettes — 0.1.0

An NBA Jersey Palette Generator

NBBDesigns — 1.1.0

Neighbour Balanced Block Designs (NBBDesigns)

nbc4va — 1.2

Bayes Classifier for Verbal Autopsy Data

NbClust — 3.0.1

Determining the Best Number of Clusters in a Data Set

nbconv — 1.0.1

Evaluate Arbitrary Negative Binomial Convolutions

nbconvertR — 1.3.2

Vignette Engine Wrapping Jupyter Notebooks

NBDdirichlet — 1.4

NBD-Dirichlet Model of Consumer Buying Behavior for Marketing Research

NBDesign — 2.0.0

Design and Monitoring of Clinical Trials with Negative Binomial Endpoint

nberwp — 1.2.0

NBER Working Papers

nbfar — 0.1

Negative Binomial Factor Regression Models ('nbfar')

NBLDA — 1.0.1

Negative Binomial Linear Discriminant Analysis

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