All packages

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mgwrhw — 1.1.1.5

Displays GWR (Geographically Weighted Regression) and Mixed GWR Output and Map

mgwrsar — 1.0.5

GWR and MGWR with Spatial Autocorrelation

mhazard — 0.2.3

Nonparametric and Semiparametric Methods for Multivariate Failure Time Data

mhcnuggetsr — 1.1

Call MHCnuggets

MHCtools — 1.5.3

Analysis of MHC Data in Non-Model Species

MHD — 0.1.2

Metric Halfspace Depth

MHDA — 1.2

Massive Hierarchically Data Analysis

mHG — 1.1

Minimum-Hypergeometric Test

mHMMbayes — 1.1.0

Multilevel Hidden Markov Models Using Bayesian Estimation

Mhorseshoe — 0.1.3

Approximate Algorithm for Horseshoe Prior

mhsmm — 0.4.21

Inference for Hidden Markov and Semi-Markov Models

mhtboot — 1.3.3

Multiple Hypothesis Test Based on Distribution of p Values

MHTdiscrete — 1.0.1

Multiple Hypotheses Testing for Discrete Data

MHTmult — 0.1.0

Multiple Hypotheses Testing for Multiple Families/Groups Structure

MHTrajectoryR — 1.0.1

Bayesian Model Selection in Logistic Regression for the Detection of Adverse Drug Reactions

mhurdle — 1.3-1

Multiple Hurdle Tobit Models

mi — 1.1

Missing Data Imputation and Model Checking

mi4p — 1.1

Multiple Imputation for Proteomics

MIAmaxent — 1.3.1

A Modular, Integrated Approach to Maximum Entropy Distribution Modeling

micar — 1.1.2

'Mica' Data Web Portal Client

micd — 1.1.1

Multiple Imputation in Causal Graph Discovery

mice — 3.16.0

Multivariate Imputation by Chained Equations

miceadds — 3.17-44

Some Additional Multiple Imputation Functions, Especially for 'mice'

miceafter — 0.5.0

Data and Statistical Analyses after Multiple Imputation

micEcon — 0.6-18

Microeconomic Analysis and Modelling

micEconAids — 0.6-20

Demand Analysis with the Almost Ideal Demand System (AIDS)

micEconCES — 1.0-2

Analysis with the Constant Elasticity of Substitution (CES) Function

micEconDistRay — 0.1-2

Econometric Production Analysis with Ray-Based Distance Functions

micEconIndex — 0.1-8

Price and Quantity Indices

micEconSNQP — 0.6-10

Symmetric Normalized Quadratic Profit Function

miceFast — 0.8.2

Fast Imputations Using 'Rcpp' and 'Armadillo'

micemd — 1.10.0

Multiple Imputation by Chained Equations with Multilevel Data

miceRanger — 1.5.0

Multiple Imputation by Chained Equations with Random Forests

michelRodange — 1.0.0

The Works (in Luxembourguish) of Michel Rodange

miclust — 1.2.8

Multiple Imputation in Cluster Analysis

micompr — 1.1.4

Multivariate Independent Comparison of Observations

miCoPTCM — 1.1

Promotion Time Cure Model with Mis-Measured Covariates

microbats — 0.1-1

An Implementation of Bat Algorithm in R

microbenchmark — 1.5.0

Accurate Timing Functions

microbial — 0.0.21

Do 16s Data Analysis and Generate Figures

microbiomeMQC — 1.0.2

Calculate 4 Key Reporting Measures

MicrobiomeStat — 1.2

Statistical Methods for Microbiome Compositional Data

MicrobiomeSurv — 0.1.0

Biomarker Validation for Microbiome-Based Survival Classification and Prediction

microclass — 1.2

Methods for Taxonomic Classification of Prokaryotes

microcontax — 1.2

The ConTax Data Package

microCRAN — 0.9.0-1

Hosting an Independent CRAN Repository

MicroDatosEs — 0.8.15

Utilities for Official Spanish Microdata

microdiluteR — 1.0.1

Analysis of Broth Microdilution Assays

microeco — 1.9.1

Microbial Community Ecology Data Analysis

microhaplot — 1.0.1

Microhaplotype Constructor and Visualizer

MicroMacroMultilevel — 0.4.0

Micro-Macro Multilevel Modeling

micromap — 1.9.9

Linked Micromap Plots

micromapST — 3.0.3

Linked Micromap Plots for U. S. and Other Geographic Areas

MicroMoB — 0.1.2

Discrete Time Simulation of Mosquito-Borne Pathogen Transmission

micromodal — 1.0.0

Create Simple and Elegant Modal Dialogs in 'shiny'

MicroNiche — 1.0.0

Microbial Niche Measurements

micronutr — 0.1.1

Determining Vitamin and Mineral Status of Populations

micropan — 2.1

Microbial Pan-Genome Analysis

microplot — 1.0-45

Microplots (Sparklines) in 'LaTeX', 'Word', 'HTML', 'Excel'

microPop — 1.6

Process-Based Modelling of Microbial Populations

MicroSEC — 2.1.6

Sequence Error Filter for Formalin-Fixed and Paraffin-Embedded Samples

microseq — 2.1.6

Basic Biological Sequence Handling

microsimulation — 1.4.4

Discrete Event Simulation in R and C++, with Tools for Cost-Effectiveness Analysis

Microsoft365R — 2.4.0

Interface to the 'Microsoft 365' Suite of Cloud Services

microsynth — 2.0.44

Synthetic Control Methods with Micro- And Meso-Level Data

MicSim — 2.0.1

Performing Continuous-Time Microsimulation

MICsplines — 1.0

The Computing of Monotonic Spline Bases and Constrained Least-Squares Estimates

micsr — 0.1-1

Microeconometrics with R

micss — 0.2.0

Modified Iterative Cumulative Sum of Squares Algorithm

MiDA — 0.1.2

Microarray Data Analysis

midas — 1.0.1

Turn HTML 'Shiny'

midas2 — 1.1.0

Bayesian Platform Design with Subgroup Efficacy Exploration(MIDAS-2)

midasml — 0.1.10

Estimation and Prediction Methods for High-Dimensional Mixed Frequency Time Series Data

midasr — 0.8

Mixed Data Sampling Regression

midastouch — 1.3

Multiple Imputation by Distance Aided Donor Selection

midfieldr — 1.0.2

Tools and Methods for Working with MIDFIELD Data in 'R'

midi — 0.1.0

Microstructure Information from Diffusion Imaging

MIDN — 1.0

Nearly Exact Sample Size Calculation for Exact Powerful Nonrandomized Tests for Differences Between Binomial Proportions

midrangeMCP — 3.1.1

Multiples Comparisons Procedures Based on Studentized Midrange and Range Distributions

miesmuschel — 0.0.4-2

Mixed Integer Evolution Strategies

mifa — 0.2.0

Multiple Imputation for Exploratory Factor Analysis

mig — 1.0

Multivariate Inverse Gaussian Distribution

MigConnectivity — 0.4.7

Estimate Migratory Connectivity for Migratory Animals

migest — 2.0.4

Methods for the Indirect Estimation of Bilateral Migration

migraph — 1.4.2

Univariate and Multivariate Tests for Multimodal and Other Networks

migrate — 0.5.0

Create Credit State Migration (Transition) Matrices

migration.indices — 0.3.1

Migration Indices

MigrationDetectR — 0.1.1

Segment-Based Migration Detection Algorithm

migui — 1.3

Graphical User Interface to the 'mi' Package

miic — 2.0.3

Learning Causal or Non-Causal Graphical Models Using Information Theory

MIIPW — 0.1.1

IPW and Mean Score Methods for Time-Course Missing Data

MIIVefa — 0.1.2

Exploratory Factor Analysis Using Model Implied Instrumental Variables

MIIVsem — 0.5.8

Model Implied Instrumental Variable (MIIV) Estimation of Structural Equation Models

mikropml — 1.6.1

User-Friendly R Package for Supervised Machine Learning Pipelines

miLAG — 1.0.2

Calculates Microbial Lag Duration (on the Population Level) from Provided Growth Curve Data

mildsvm — 0.4.0

Multiple-Instance Learning with Support Vector Machines

miLineage — 2.1

Association Tests for Microbial Lineages on a Taxonomic Tree

milorGWAS — 0.7

Mixed Logistic Regression for Genome-Wide Analysis Studies (GWAS)

milr — 0.3.1

Multiple-Instance Logistic Regression with LASSO Penalty

mimdo — 0.1.0

Multivariate Imputation by Mahalanobis Distance Optimization

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