All packages

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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

mineSweepR — 0.1.1

Mine Sweeper Game

minic — 1.0

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

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 — 0.3.2

Survival Distributions with Piece-Wise Constant Hazards

Minirand — 0.1.3

Minimization Randomization

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 — 1.2.7

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 — 0.0.1

Minimal Type Guesser

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 — 1.1.1

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

MiRSEA — 1.1.1

'MicroRNA' Set Enrichment Analysis

mirt — 1.41

Multidimensional Item Response Theory

mirtCAT — 1.13

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 — 1.5-8

Miscellaneous Useful Functions Including LaTeX Tables, Kalman Filtering, QQplots with Simulation-Based Confidence Intervals 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 — 0.9.1

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 — 1.1.0

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

MisRepARMA — 0.0.2

Misreported Time Series Analysis

missCforest — 0.0.8

Ensemble Conditional Trees for Missing Data Imputation

missCompare — 1.0.3

Intuitive Missing Data Imputation Framework

MissCP — 0.1.0

Change Point Detection with Missing Values

missDeaths — 2.7

Simulating and Analyzing Time to Event Data in the Presence of Population Mortality

missDiag — 1.0.1

Comparing Observed and Imputed Values under MAR and MCAR

missForest — 1.5

Nonparametric Missing Value Imputation using Random Forest

missForestPredict — 1.0

Missing Value Imputation using Random Forest for Prediction Settings

MissingHandle — 0.1.1

Handles Missing Dates and Data and Converts into Weekly and Monthly from Daily

missingHE — 1.5.0

Missing Outcome Data in Health Economic Evaluation

MissingPlotLSD — 0.1.0

Missing Plot in LSD

MissingPlotRBD — 1.1.0

Missing Plot in RBD

missMDA — 1.19

Handling Missing Values with Multivariate Data Analysis

MissMech — 1.0.4

Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random

missMethods — 0.4.0

Methods for Missing Data

missoNet — 1.2.0

Missingness in Multi-Task Regression with Network Estimation

misspi — 0.1.0

Missing Value Imputation in Parallel

Missplot — 0.1.0

Missing Plot Technique in Design of Experiment

missRanger — 2.4.0

Fast Imputation of Missing Values

missSBM — 1.0.4

Handling Missing Data in Stochastic Block Models

missSOM — 1.0.1

Self-Organizing Maps with Built-in Missing Data Imputation

mistr — 0.0.6

Mixture and Composite Distributions

mistral — 2.2.2

Methods in Structural Reliability

misty — 0.6.5

Miscellaneous Functions 'T. Yanagida'

misuvi — 0.1.0

Access the Michigan Substance Use Vulnerability Index (MI-SUVI)

mitml — 0.4-5

Tools for Multiple Imputation in Multilevel Modeling

MitoHEAR — 0.1.0

Quantification of Mitochondrial DNA Heteroplasmy

mitools — 2.4

Tools for Multiple Imputation of Missing Data

mitre — 1.0.0

Cybersecurity MITRE Standards Data and Digraphs

MittagLeffleR — 0.4.1

Mittag-Leffler Family of Distributions

miWQS — 0.4.4

Multiple Imputation Using Weighted Quantile Sum Regression

mix — 1.0-12

Estimation/Multiple Imputation for Mixed Categorical and Continuous Data

mixAK — 5.7

Multivariate Normal Mixture Models and Mixtures of Generalized Linear Mixed Models Including Model Based Clustering

MixAll — 1.5.16

Clustering and Classification using Model-Based Mixture Models

mixAR — 0.22.8

Mixture Autoregressive Models

mixbox — 1.2.3

Observed Fisher Information Matrix for Finite Mixture Model

mixcat — 1.0-4

Mixed Effects Cumulative Link and Logistic Regression Models

mixchar — 0.1.0

Mixture Model for the Deconvolution of Thermal Decay Curves

mixcure — 2.0

Mixture Cure Models

mixdir — 0.3.0

Cluster High Dimensional Categorical Datasets

mixdist — 0.5-5

Finite Mixture Distribution Models

mixedBayes — 0.1.2

Bayesian Longitudinal Regularized Quantile Mixed Model

mixedCCA — 1.6.2

Sparse Canonical Correlation Analysis for High-Dimensional Mixed Data

MixedIndTests — 1.2.0

Tests of Randomness and Tests of Independence

MixedLevelRSDs — 1.0.0

Mixed Level Response Surface Designs

mixedLSR — 0.1.0

Mixed, Low-Rank, and Sparse Multivariate Regression on High-Dimensional Data

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