All packages

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m2b — 1.0

Movement to Behaviour Inference using Random Forest

m2r — 1.0.0

Macaulay2 in R

M2SMF — 1.0

Multi-Modal Similarity Matrix Factorization for Integrative Multi-Omics Data Analysis

M3 — 0.3

Reading M3 files

mable — 1.0

Maximum Approximate Bernstein Likelihood Estimation

maboost — 1.0-0

Binary and Multiclass Boosting Algorithms

MAc — 1.1.1

Meta-Analysis with Correlations

macc — 1.0.1

Mediation Analysis of Causality under Confounding

machina — 0.1.6

Machina Time Series Generation and Backtesting

MachineLearning — 0.0.2

Machine Learning Algorithms for Innovation in Tourism

MachineShop — 1.0.0

Machine Learning Models and Tools

machQA — 0.1.4

QA Machina Indicators

macleish — 0.3.2

Retrieve Data from MacLeish Field Station

MAclinical — 1.0-5

Class prediction based on microarray data and clinical parameters

MAd — 0.8-2.1

Meta-Analysis with Mean Differences

mada — 0.5.8

Meta-Analysis of Diagnostic Accuracy

maddison — 0.1

Maddison Project Database

maditr — 0.6.1

Pipe-Style Interface for 'data.table'

madness — 0.2.5

Automatic Differentiation of Multivariate Operations

MADPop — 1.1.2

MHC Allele-Based Differencing Between Populations

madr — 1.0.0

Model Averaged Double Robust Estimation

madrat — 1.22.1

May All Data be Reproducible and Transparent (MADRaT) *

mads — 0.1.5

Multi-Analysis Distance Sampling

madsim — 1.2.1

A Flexible Microarray Data Simulation Model

Maeswrap — 1.7

Wrapper Functions for MAESTRA/MAESPA

mafs — 0.0.3

Multiple Automatic Forecast Selection

magclass — 4.51.1

Data Class and Tools for Handling Spatial-Temporal Data

magic — 1.5-9

Create and Investigate Magic Squares

magicaxis — 2.0.4

Pretty Scientific Plotting with Minor-Tick and Log Minor-Tick Support

magicfor — 0.1.0

Magic Functions to Obtain Results from for Loops

magick — 2.0

Advanced Graphics and Image-Processing in R

magicLamp — 0.1.0

'WeMo Switch' Smart Plug Utilities

MAGNAMWAR — 2.0.4

A Pipeline for Meta-Genome Wide Association

magree — 1.0

Implements the O'Connell-Dobson-Schouten Estimators of Agreement for Multiple Observers

magrittr — 1.5

A Forward-Pipe Operator for R

mail — 1.0

Sending Email Notifications from R

mailR — 0.4.1

A Utility to Send Emails from R

MAINT.Data — 2.0.0

Model and Analyse Interval Data

majesticR — 0.1.1

R Interface to Access the 'Majestic' API

makedummies — 1.1.2

Create Dummy Variables from Categorical Data

MakefileR — 1.0

Create 'Makefiles' Using R

makeFlow — 1.0.2

Visualizing Sequential Classifications

makeParallel — 0.1.1

Transform Serial R Code into Parallel R Code

makeProject — 1.0

Creates an empty package framework for the LCFD format

malani — 1.0

Machine Learning Assisted Network Inference

malariaAtlas — 0.0.3

An R Interface to Open-Access Malaria Data, Hosted by the 'Malaria Atlas Project'

MALDIquant — 1.18

Quantitative Analysis of Mass Spectrometry Data

MALDIquantForeign — 0.11.5

Import/Export Routines for 'MALDIquant'

MALDIrppa — 1.0.1-2

MALDI Mass Spectrometry Data Robust Pre-Processing and Analysis

mallet — 1.0

A wrapper around the Java machine learning tool MALLET

MAMS — 1.2

Designing Multi-Arm Multi-Stage Studies

MAMSE — 0.2-1

Calculation of Minimum Averaged Mean Squared Error (MAMSE) Weights

managelocalrepo — 0.1.5

Manage a CRAN-Style Local Repository

MANCIE — 1.4

Matrix Analysis and Normalization by Concordant Information Enhancement

mandelbrot — 0.2.0

Generates Views on the Mandelbrot Set

manet — 2.0

Multiple Allocation Model for Actor-Event Networks

mangoTraining — 1.0-7

Mango Solutions Training Datasets

Mangrove — 1.21

Risk Prediction on Trees

manhattanly — 0.2.0

Interactive Q-Q and Manhattan Plots Using 'plotly.js'

manifestoR — 1.3.0

Access and Process Data and Documents of the Manifesto Project

ManifoldOptim — 0.1.4

An R Interface to the 'ROPTLIB' Library for Riemannian Manifold Optimization

manipulate — 1.0.1

Interactive Plots for RStudio

manipulateWidget — 0.10.0

Add Even More Interactivity to Interactive Charts

ManlyMix — 0.1.14

Manly Mixture Modeling and Model-Based Clustering

MANOVA.RM — 0.3.1

Analysis of Multivariate Data and Repeated Measures Designs

ManyTests — 1.2

Multiple Testing Procedures of Cox (2011) and Wong and Cox (2007)

Map2NCBI — 1.1

Mapping Markers to the Nearest Genomic Feature

MAPA — 2.0.4

Multiple Aggregation Prediction Algorithm

mapdata — 2.3.0

Extra Map Databases

mapdeck — 0.1.0

Interactive Maps Using 'Mapbox GL JS' and 'Deck.gl'

mapedit — 0.4.3

Interactive Editing of Spatial Data in R

mapfit — 0.9.7

A Tool for PH/MAP Parameter Estimation

mapfuser — 0.1.2

Construct Consensus Genetic Maps and Estimate Recombination Rates

MapGAM — 1.2

Mapping Smoothed Effect Estimates from Individual-Level Data

mapi — 1.0.0-62

Mapping Averaged Pairwise Information

MAPLES — 1.0

Smoothed age profile estimation

mapmisc — 1.7.2

Utilities for Producing Maps

mapplots — 1.5.1

Data Visualisation on Maps

mapproj — 1.2.6

Map Projections

mapr — 0.4.0

Visualize Species Occurrence Data

mapReasy — 1.0

Producing Administrative Boundary Map with Additional Features Embedded

maps — 3.3.0

Draw Geographical Maps

mapsapi — 0.3.7

'sf'-Compatible Interface to 'Google Maps' APIs

mapsRinteractive — 0.1.0

Local Adaptation and Evaluation of Digital Soil Maps

mapStats — 2.4

Geographic Display of Survey Data Statistics

maptools — 0.9-4

Tools for Handling Spatial Objects

maptpx — 1.9-2

MAP Estimation of Topic Models

maptree — 1.4-7

Mapping, pruning, and graphing tree models

mapview — 2.6.3

Interactive Viewing of Spatial Data in R

mAr — 1.1-2

Multivariate AutoRegressive analysis

MAR1 — 1.0

Multivariate Autoregressive Modeling for Analysis of Community Time-Series Data

mar1s — 2.1.1

Multiplicative AR(1) with Seasonal Processes

march — 1.4

Markov Chains

marcher — 0.0-2

Migration and Range Change Estimation in R

marelac — 2.1.9

Tools for Aquatic Sciences

MareyMap — 1.3.4

Estimation of Meiotic Recombination Rates Using Marey Maps

marg — 1.2-2.1

Approximate Marginal Inference for Regression-Scale Models

MargCond — 1.0.0

Joint Marginal-Conditional Model

MarginalMediation — 0.5.1

Marginal Mediation

margins — 0.3.23

Marginal Effects for Model Objects

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