All packages

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metan — 1.18.0

Multi Environment Trials Analysis

MetaNet — 0.1.2

Network Analysis for Omics Data

metanetwork — 0.7.0

Handling and Representing Trophic Networks in Space and Time

MetaNLP — 0.1.3

Natural Language Processing for Meta Analysis

metansue — 2.6

Meta-Analysis of Studies with Non-Statistically Significant Unreported Effects

metap — 1.11

Meta-Analysis of Significance Values

metapack — 0.3

Bayesian Meta-Analysis and Network Meta-Analysis

metaplot — 0.8.4

Data-Driven Plot Design

metaplus — 1.0-5

Robust Meta-Analysis and Meta-Regression

metapost — 1.0-6

Interface to 'MetaPost'

metapower — 0.2.2

Power Analysis for Meta-Analysis

metapro — 1.5.11

Robust P-Value Combination Methods

metaprotr — 1.2.2

Metaproteomics Post-Processing Analysis

metaRange — 1.1.4

Framework to Build Mechanistic and Metabolic Constrained Species Distribution Models

metarep — 1.2.0

Replicability-Analysis Tools for Meta-Analysis

metaRNASeq — 1.0.7

Meta-Analysis of RNA-Seq Data

metaSDTreg — 0.2.2

Regression Models for Meta Signal Detection Theory

metaSEM — 1.5.0

Meta-Analysis using Structural Equation Modeling

metasens — 1.5-2

Statistical Methods for Sensitivity Analysis in Meta-Analysis

MetaSKAT — 0.90

Meta Analysis for SNP-Set (Sequence) Kernel Association Test

metasnf — 1.1.2

Meta Clustering with Similarity Network Fusion

MetaStan — 1.0.0

Bayesian Meta-Analysis via 'Stan'

MetaSubtract — 1.60

Subtracting Summary Statistics of One or more Cohorts from Meta-GWAS Results

metaSurvival — 0.1.0

Meta-Analysis of a Single Survival Curve

metatest — 1.0-5

Fit and Test Metaregression Models

metathis — 1.1.4

HTML Metadata Tags for 'R Markdown' and 'Shiny'

metatools — 0.1.6

Enable the Use of 'metacore' to Help Create and Check Dataset

MetaUtility — 2.1.2

Utility Functions for Conducting and Interpreting Meta-Analyses

metavcov — 2.1.5

Computing Variances and Covariances, Visualization and Missing Data Solution for Multivariate Meta-Analysis

metaviz — 0.3.1

Forest Plots, Funnel Plots, and Visual Funnel Plot Inference for Meta-Analysis

metawho — 0.2.0

Meta-Analytical Implementation to Identify Who Benefits Most from Treatments

MetBrewer — 0.2.0

Color Palettes Inspired by Works at the Metropolitan Museum of Art

MetChem — 0.4

Chemical Structural Similarity Analysis

meteo — 2.0-3

RFSI & STRK Interpolation for Meteo and Environmental Variables

meteoEVT — 0.1.0

Computation and Visualization of Energetic and Vortical Atmospheric Quantities

meteoForecast — 0.56

Numerical Weather Predictions

meteoland — 2.2.2

Landscape Meteorology Tools

meteor — 0.4-5

Meteorological Data Manipulation

meteorits — 0.1.1

Mixture-of-Experts Modeling for Complex Non-Normal Distributions

meteospain — 0.2.0

Access to Spanish Meteorological Stations Services

meteR — 1.2

Fitting and Plotting Tools for the Maximum Entropy Theory of Ecology (METE)

metevalue — 0.2.4

E-Value in the Omics Data Association Studies

MetGen — 0.5

Stochastic Weather Generator

MethComp — 1.30.2

Analysis of Agreement in Method Comparison Studies

methcon5 — 0.1.0

Identify and Rank CpG DNA Methylation Conservation Along the Human Genome

MethEvolSIM — 0.1.7

Simulate DNA Methylation Dynamics on Different Genomic Structures along Genealogies

MethodCompare — 1.0.0

Evaluating Bias and Precision in Method Comparison Studies

MethodOpt — 1.0.0

Advanced Method Optimization for Spectra-Generating Sampling and Analysis Instrumentation

MeTo — 0.1.1

Meteorological Tools

metools — 1.0.0

Macroeconomics Tools

MetProc — 1.0.1

Separate Metabolites into Likely Measurement Artifacts and True Metabolites

metR — 0.16.0

Tools for Easier Analysis of Meteorological Fields

metrica — 2.1.0

Prediction Performance Metrics

MetricGraph — 1.3.0

Random Fields on Metric Graphs

metricminer — 0.5.1

Mine Metrics from Common Places on the Web

Metrics — 0.1.4

Evaluation Metrics for Machine Learning

MetricsWeighted — 1.0.3

Weighted Metrics and Performance Measures for Machine Learning

metrix — 1.1.0

Water Quality Metrics Calculator

metro — 0.9.3

Washington Metropolitan Area Transit Authority API

metRology — 0.9-28-1

Support for Metrological Applications

metropolis — 0.1.8

The Metropolis Algorithm

mets — 1.3.4

Analysis of Multivariate Event Times

MetSizeR — 2.0.0

A Shiny App for Sample Size Estimation in Metabolomic Experiments

metsyn — 0.1.2

Interface with the Meteo France Synop Data API

mev — 1.17

Modelling of Extreme Values

mevr — 1.1.1

Fitting the Metastatistical Extreme Value Distribution MEVD

mewAvg — 0.3.1

A Fixed Memeory Moving Expanding Window Average

MexBrewer — 0.0.2

Color Palettes Inspired by Works of Mexican Painters and Muralists

mexhaz — 2.6

Mixed Effect Excess Hazard Models

mexicolors — 0.2.0

Mexican Politics-Inspired Color Palette Generator

mExplorer — 1.0.0

Identifying Master Gene Regulators from Gene Expression and DNA-Binding Data

MF.beta4 — 1.1.0

Measuring Ecosystem Multi-Functionality and Its Decomposition

mfaces — 0.1-4

Fast Covariance Estimation for Multivariate Sparse Functional Data

MFAg — 2.0

Multiple Factor Analysis (MFA)

mFD — 1.0.7

Compute and Illustrate the Multiple Facets of Functional Diversity

mfdb — 7.3-1

MareFrame DB Querying Library

MFDFA — 1.1

MultiFractal Detrended Fluctuation Analysis

mFDP — 0.1.0

Flexible Control of the mFDP

mfGARCH — 0.2.1

Mixed-Frequency GARCH Models

mFilter — 0.1-5

Miscellaneous Time Series Filters

mFLICA — 0.1.6

Leadership-Inference Framework for Multivariate Time Series

MFO — 0.1.0

Maximal Fat Oxidation and Kinetics Calculation

mfp — 1.5.4.1

Multivariable Fractional Polynomials

mfp2 — 1.0.0

Multivariable Fractional Polynomial Models with Extensions

MFPCA — 1.3-10

Multivariate Functional Principal Component Analysis for Data Observed on Different Dimensional Domains

mfpp — 0.0.7

'Matrix-Based Flexible Project Planning'

MFSIS — 0.2.1

Model-Free Sure Independent Screening Procedures

MFT — 2.0

The Multiple Filter Test for Change Point Detection

MfUSampler — 1.1.0

Multivariate-from-Univariate (MfU) MCMC Sampler

mfx — 1.2-2

Marginal Effects, Odds Ratios and Incidence Rate Ratios for GLMs

MG1StationaryProbability — 0.1.2

Computes Stationary Distribution for M/G/1 Queuing System

mgarchBEKK — 0.0.5

Simulating, Estimating and Diagnosing MGARCH (BEKK and mGJR) Processes

MGBT — 1.0.7

Multiple Grubbs-Beck Low-Outlier Test

mgc — 2.0.2

Multiscale Graph Correlation

mgcv — 1.9-1

Mixed GAM Computation Vehicle with Automatic Smoothness Estimation

mgcViz — 0.1.11

Visualisations for Generalized Additive Models

MGDrivE — 1.6.0

Mosquito Gene Drive Explorer

MGDrivE2 — 2.1.0

Mosquito Gene Drive Explorer 2

mgee2 — 0.6

Marginal Analysis of Misclassified Longitudinal Ordinal Data

mggd — 1.3.1

Multivariate Generalised Gaussian Distribution; Kullback-Leibler Divergence

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