All packages

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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

midoc — 1.0.0

A Decision-Making System for Multiple Imputation

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

MIGEE — 0.1.0

Impute Missing Values and Fitting Linear Mixed Effect Model

migest — 2.0.4

Methods for the Indirect Estimation of Bilateral Migration

migraph — 1.4.5

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 — 1.0.4

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

mime — 0.12

Map Filenames to MIME Types

MIMER — 1.0.3

Data Wrangling for Antimicrobial Resistance Studies

mimi — 0.2.0

Main Effects and Interactions in Mixed and Incomplete Data

MiMIR — 1.5

Metabolomics-Based Models for Imputing Risk

mimiSBM — 0.0.1.3

Mixture of Multilayer Integrator Stochastic Block Models

MIMSunit — 0.11.2

Algorithm to Compute Monitor Independent Movement Summary Unit (MIMS-Unit)

mimsy — 0.6.5

Calculate MIMS Dissolved Gas Concentrations Without Getting a Headache

minb — 0.1.0

Multiple-Inflated Negative Binomial Model

mind — 1.1.0

Multivariate Model Based Inference for Domains

MindOnStats — 0.11

Data sets included in Utts and Heckard's Mind on Statistics

mineCitrus — 1.0.0

Extract and Analyze Median Molecule Intensity from 'citrus' Output

mined — 1.0-3

Minimum Energy Designs

MinEDfind — 0.1.3

A Bayesian Design for Minimum Effective Dosing-Finding Trial

minerva — 1.5.10

Maximal Information-Based Nonparametric Exploration for Variable Analysis

minesweeper — 1.0.1

Play Minesweeper

mineSweepR — 0.1.1

Mine Sweeper Game

minFactorial — 0.1.0

All Possible Minimally Changed Factorial Run Orders

minic — 1.0.1

Minimization Methods for Ill-Conditioned Problems

miniCRAN — 0.3.0

Create a Mini Version of CRAN Containing Only Selected Packages

minidown — 0.4.0

Create Simple Yet Powerful HTML Documents with Light Weight CSS Frameworks

miniGUI — 0.8-1

Tcl/Tk Quick and Simple Function GUI

miniLNM — 0.1.0

Miniature Logistic-Normal Multinomial Models

minimalRSD — 1.0.0

Minimally Changed CCD and BBD

minimap — 0.1.0

Create Tile Grid Maps

minimax — 1.1.1

The Minimax Distribution Family

minimaxApprox — 0.4.3

Implementation of Remez Algorithm for Polynomial and Rational Function Approximation

miniMeta — 0.3.2

Web Application to Run Meta-Analyses

minioclient — 0.0.6

Interface to the 'MinIO' Client

miniPCH — 0.4.0

Survival Distributions with Piece-Wise Constant Hazards

Minirand — 0.1.3

Minimization Randomization

minired — 1.0.1

R Interface to 'Redatam' Library

miniUI — 0.1.1.1

Shiny UI Widgets for Small Screens

minMSE — 0.5.1

Implementation of the minMSE Treatment Assignment Method for One or Multiple Treatment Groups

minpack.lm — 1.2-4

R Interface to the Levenberg-Marquardt Nonlinear Least-Squares Algorithm Found in MINPACK, Plus Support for Bounds

minqa — 1.2.8

Derivative-Free Optimization Algorithms by Quadratic Approximation

minque — 2.0.0

Various Linear Mixed Model Analyses

minsample1 — 0.1.0

The Minimum Sample Size

minsample2 — 0.1.0

The Minimum Sample Size

minSNPs — 0.2.0

Resolution-Optimised SNPs Searcher

MINTplates — 1.0.1

Encode "License-Plates" from Sequences and Decode Them Back

minty — 0.0.5

Minimal Type Guesser

mintyr — 0.1.0

Streamlined Data Processing Tools for Genomic Selection

mipfp — 3.2.1

Multidimensional Iterative Proportional Fitting and Alternative Models

mipplot — 0.3.1

An Open-Source Tool for Visualization of Climate Mitigation Scenarios

mirai — 2.0.0

Minimalist Async Evaluation Framework for R

miRecSurv — 1.0.2

Left-Censored Recurrent Events Survival Models

MIRES — 0.1.0

Measurement Invariance Assessment Using Random Effects Models and Shrinkage

miRetrieve — 1.3.4

miRNA Text Mining in Abstracts

MiRKAT — 1.2.3

Microbiome Regression-Based Kernel Association Tests

MiRNAQCD — 1.1.3

Micro-RNA Quality Control and Diagnosis

miRNAss — 1.5

Genome-Wide Discovery of Pre-miRNAs with few Labeled Examples

mirrorselect — 0.0.3

Test CRAN/Bioconductor Mirror Speed

MiRSEA — 1.1.1

'MicroRNA' Set Enrichment Analysis

mirt — 1.43

Multidimensional Item Response Theory

mirtCAT — 1.14

Computerized Adaptive Testing with Multidimensional Item Response Theory

miRtest — 2.1

Combined miRNA- And mRNA-Testing

mirtjml — 1.4.0

Joint Maximum Likelihood Estimation for High-Dimensional Item Factor Analysis

mirtsvd — 1.0

SVD-Based Estimation for Exploratory Item Factor Analysis

misaem — 1.0.1

Linear Regression and Logistic Regression with Missing Covariates

misc3d — 0.9-1

Miscellaneous 3D Plots

miscF — 0.1-5

Miscellaneous Functions

miscFuncs — 1.5-10

Miscellaneous Useful Functions Including LaTeX Tables, Kalman Filtering, QQplots with Simulation-Based Confidence Intervals, Linear Regression Diagnostics and Development Tools

miscIC — 0.1.0

Misclassified Interval Censored Time-to-Event Data

misclassGLM — 0.3.5

Computation of Generalized Linear Models with Misclassified Covariates Using Side Information

MiscMetabar — 0.10.1

Miscellaneous Functions for Metabarcoding Analysis

miscset — 1.1.0

Miscellaneous Tools Set

miscTools — 0.6-28

Miscellaneous Tools and Utilities

miselect — 0.9.2

Variable Selection for Multiply Imputed Data

mispitools — 1.2.0

Missing Person Identification Tools

mispr — 1.0.0

Multiple Imputation with Sequential Penalized Regression

misPRIME — 0.1.0

Partial Replacement Imputation Estimation for Missing Covariates

MiSPU — 1.0

Microbiome Based Sum of Powered Score (MiSPU) Tests

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