All packages

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MPDiR — 0.2

Data Sets and Scripts for Modeling Psychophysical Data in R

MPGE — 1.0.0

A Two-Step Approach to Testing Overall Effect of Gene-Environment Interaction for Multiple Phenotypes

MPI — 0.1.0

Computation of Multidimensional Poverty Index (MPI)

mpindex — 0.2.1

Multidimensional Poverty Index (MPI)

mpitbR — 1.0.1

Calculate Alkire-Foster Multidimensional Poverty Measures

mplot — 1.0.6

Graphical Model Stability and Variable Selection Procedures

MplusAutomation — 1.1.1

An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus

MplusLGM — 1.0.0

Automate Latent Growth Mixture Modelling in 'Mplus'

mplusParallel.automation — 0.0.1.1

Parallel Processing Automation for 'Mplus'

MplusTrees — 0.2.3

Decision Trees with Structural Equation Models Fit in 'Mplus'

mpm — 1.0-23

Multivariate Projection Methods

mpmcorrelogram — 0.1-4

Multivariate Partial Mantel Correlogram

mpmi — 0.43.2.1

Mixed-Pair Mutual Information Estimators

mpmsim — 3.2.0

Simulation of Matrix Population Models with Defined Life History Characteristics

MPN — 0.4.0

Most Probable Number and Other Microbial Enumeration Techniques

mpoly — 1.1.1

Symbolic Computation and More with Multivariate Polynomials

mpower — 0.1.0

Power Analysis via Monte Carlo Simulation for Correlated Data

mppR — 1.5.0

Multi-Parent Population QTL Analysis

mpr — 1.0.6

Multi-Parameter Regression (MPR)

MPS — 2.3.1

Estimating Through the Maximum Product Spacing Approach

MPSEM — 0.5-1

Modelling Phylogenetic Signals using Eigenvector Maps

mpspline2 — 0.1.6

Mass-Preserving Spline Functions for Soil Data

MPsychoR — 0.10-8

Modern Psychometrics with R

mpt — 1.0-0

Multinomial Processing Tree Models

MPTinR — 1.14.1

Analyze Multinomial Processing Tree Models

MPTmultiverse — 0.4-2

Multiverse Analysis of Multinomial Processing Tree Models

MPV — 2.0

Data Sets from Montgomery, Peck and Vining

MQMF — 0.1.5

Modelling and Quantitative Methods in Fisheries

Mqrcm — 1.3

M-Quantile Regression Coefficients Modeling

mr.pivw — 0.1.1

Penalized Inverse-Variance Weighted Estimator for Mendelian Randomization

MR.RGM — 0.0.4

Multivariate Bidirectional Mendelian Randomization Networks

mratios — 1.4.4

Ratios of Coefficients in the General Linear Model

mrbayes — 0.5.2

Bayesian Summary Data Models for Mendelian Randomization Studies

mrbin — 1.9.0

Metabolomics Data Analysis Functions

mrbsizeR — 1.3

Scale Space Multiresolution Analysis of Random Signals

mRc — 0.1.0

Multi-Visit Closed Population Mark-Recapture Estimates

MRCE — 2.4

Multivariate Regression with Covariance Estimation

mrct — 0.0.1.0

Outlier Detection of Functional Data Based on the Minimum Regularized Covariance Trace Estimator

MRCV — 0.4-0

Methods for Analyzing Multiple Response Categorical Variables (MRCVs)

mrds — 3.0.0

Mark-Recapture Distance Sampling

mreg — 1.2.1

Fits Regression Models When the Outcome is Partially Missing

mregions2 — 1.1.2

Access Data from Marine Regions: Gazetteer & Data Products

mrf — 0.1.6

Multiresolution Forecasting

mrf2d — 1.0

Markov Random Field Models for Image Analysis

MRFA — 0.6

Fitting and Predicting Large-Scale Nonlinear Regression Problems using Multi-Resolution Functional ANOVA (MRFA) Approach

MRFcov — 1.0.39

Markov Random Fields with Additional Covariates

mrfDepth — 1.0.17

Depth Measures in Multivariate, Regression and Functional Settings

mrfse — 0.4.2

Markov Random Field Structure Estimator

mrgdp — 0.3.2

Mexican Regional Gross Domestic Product

mrgsim.parallel — 0.2.1

Simulate with 'mrgsolve' in Parallel

mrgsim.sa — 0.2.0

Sensitivity Analysis with 'mrgsolve'

mrgsolve — 1.5.2

Simulate from ODE-Based Models

MRHawkes — 1.0

Multivariate Renewal Hawkes Process

mri — 1.0.1

Modified Rand and Wallace Indices

mritc — 0.5-3

MRI Tissue Classification

MRMCaov — 0.3.0

Multi-Reader Multi-Case Analysis of Variance

MRMCbinary — 1.0.5

Multi-Reader Multi-Case Analysis of Binary Diagnostic Tests

MRMCsamplesize — 1.0.0

Sample Size Estimations for Planning Multi-Reader Multi-Case (MRMC) Studies Without Pilot Data

MRmediation — 1.0.1

A Causal Mediation Method with Methylated Region (MR) as the Mediator

mrMLM — 5.0.1

Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for GWAS

mrMLM.GUI — 4.0.2

Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for Genome-Wide Association Study with Graphical User Interface

mRMRe — 2.1.2.2

Parallelized Minimum Redundancy, Maximum Relevance (mRMR)

mro — 0.1.1

Multiple Correlation

MRPC — 3.1.0

PC Algorithm with the Principle of Mendelian Randomization

mRpostman — 1.1.4

An IMAP Client for R

MRQoL — 1.0

Minimal Clinically Important Difference and Response Shift Effect for Health-Related Quality of Life

MRReg — 0.1.5

MDL Multiresolution Linear Regression Framework

mrregression — 1.0.0

Regression Analysis for Very Large Data Sets via Merge and Reduce

MRTAnalysis — 0.1.2

Primary and Secondary Analyses for Micro-Randomized Trials

MRTSampleSize — 0.3.0

A Sample Size Calculator for Micro-Randomized Trials

MRTSampleSizeBinary — 0.1.2

Sample Size Calculator for MRT with Binary Outcomes

MRZero — 0.2.0

Diet Mendelian Randomization

msae — 0.1.5

Multivariate Fay Herriot Models for Small Area Estimation

msaeHB — 0.1.0

Multivariate Small Area Estimation using Hierarchical Bayesian Method

msaenet — 3.1.2

Multi-Step Adaptive Estimation Methods for Sparse Regressions

msaFACE — 0.1.0

Moving Subset Analysis FACE

msamp — 1.0.0

Estimate Sample Size to Detect Bacterial Contamination in a Product Lot

msaR — 0.6.0

Multiple Sequence Alignment for R Shiny

MSbox — 1.4.8

Mass Spectrometry Tools

MSBStatsData — 0.0.2

Data Sets for Courses at the Münster School of Business

MSCA — 1.0

Clustering of Multiple Censored Time-to-Event Endpoints

msce — 1.0.1

Hazard of Multi-Stage Clonal Expansion Models

mschart — 0.4.0

Chart Generation for 'Microsoft Word' and 'Microsoft PowerPoint' Documents

MSclassifR — 0.3.3

Automated Classification of Mass Spectra

MSclust — 1.0.4

Multiple-Scaled Clustering

MSCMT — 1.4.0

Multivariate Synthetic Control Method Using Time Series

MScombine — 1.4

Combine Data from Positive and Negative Ionization Mode Finding Common Entities

mscp — 1.0

Multiscale Change Point Detection via Gradual Bandwidth Adjustment in Moving Sum Processes

MSCquartets — 3.2

Analyzing Gene Tree Quartets under the Multi-Species Coalescent

MSCsimtester — 1.0.0

Tests of Multispecies Coalescent Gene Tree Simulator Output

mscstexta4r — 0.1.2

R Client for the Microsoft Cognitive Services Text Analytics REST API

mscstts — 0.6.3

R Client for the Microsoft Cognitive Services 'Text-to-Speech' REST API

mscsweblm4r — 0.1.2

R Client for the Microsoft Cognitive Services Web Language Model REST API

msd — 0.3.1

Method of Successive Dichotomizations

msda — 1.0.4

Multi-Class Sparse Discriminant Analysis

msde — 1.0.5

Bayesian Inference for Multivariate Stochastic Differential Equations

msdrought — 0.1.1

Seasonal Mid-Summer Drought Characteristics

mseapca — 2.0.3

Metabolite Set Enrichment Analysis for Loadings

msentropy — 0.1.4

Spectral Entropy for Mass Spectrometry Data

MSEtool — 3.7.3

Management Strategy Evaluation Toolkit

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