The Munsell package contains functions for exploring and using the Munsell colour system.

Multidimensional unfolding using Schoenemann's algorithm for metric and Procrustes rotation of unfolding results.

GEE solver for correlated nominal or ordinal multinomial responses using a local odds ratios parameterization.

MultiTail can monitor, color, filter, and merge log files and command output in multiple windows in a terminal.

MUMPS (MUltifrontal Massively Parallel sparse direct Solver) solves a sparse system of linear equations A x = b using Gaussian elimination.

This package implements a generalization of the Cochran-Armitage trend test to multinomial data. In addition to an overall test, multiple testing adjusted p-values for trend in individual outcomes and power calculation is available.

This package provides utility functions for multivariate analysis (factor analysis, discriminant analysis, and others). The package is primary written for the course Multivariate analysis and for the course Computer intensive methods at the masters program of Applied Statistics at University of Ljubljana.

Computationally efficient functions to provide direct likelihood-based inference for partially-observed multivariate birth-death processes. Such processes range from a simple Yule model to the complex susceptible-infectious-removed model in disease dynamics. Efficient likelihood evaluation facilitates maximum likelihood estimation and Bayesian inference.

Measure quality of your tests. muttest introduces small changes (mutations) to your code and runs your tests to check if they catch the changes. If they do, your tests are good. If not, your assertions are not specific enough. muttest gives you percent score of how often your tests catch the changes.

The time utility is a simple and often effective way of measuring how long a command takes to run (wall time). Unfortunately, running a command once can give misleading timings. multitime is, in essence, a simple extension to time which runs a command multiple times and prints the timing means, standard deviations, mins, medians, and maxes having done so. This can give a much better understanding of the command's performance.

MuseScore is a music score typesetter. Its main purpose is the creation of high-quality engraved musical scores in a WYSIWYG environment.

It supports unlimited staves, linked parts and part extraction, tablature, MIDI input, percussion notation, cross-staff beaming, automatic transposition, lyrics (multiple verses), fretboard diagrams, and in general everything commonly used in sheet music. Style options and style sheets to change the appearance and layout are provided.

MuseScore can also play back scores through the built-in sequencer and SoundFont sample library.

Nonparametric unfolding item response theory (IRT) model for dichotomous data (see W.H. Van Schuur (1984). Structure in Political Beliefs: A New Model for Stochastic Unfolding with Application to European Party Activists, and W.J.Post (1992). Nonparametric Unfolding Models: A Latent Structure Approach). The package implements MUDFOLD (Multiple UniDimensional unFOLDing), an iterative item selection algorithm that constructs unfolding scales from dichotomous preferential-choice data without explicitly assuming a parametric form of the item response functions. Scale diagnostics from Post(1992) and estimates for the person locations proposed by Johnson(2006) and Van Schuur(1984) are also available. This model can be seen as the unfolding variant of Mokken(1971) scaling method.

Musl-cross toolchain: binutils, gcc 5 and musl.

Mudskipper is a tool for projecting genomic alignments to transcriptomic coordinates.

Read a table of fixed width formatted data of different types into a data.frame for each type.

This package provides functions for the creation/generation and analysis of multilayer social networks <doi:10.18637/jss.v098.i08>.

Various utilities to manipulate multivariate polynomials. The package is almost completely superceded by the spray and mvp packages, which are much more efficient.

This package provides a method for multivariate ordinal data generation given marginal distributions and correlation matrix based on the methodology proposed by Demirtas (2006) <DOI:10.1080/10629360600569246>.

This package provides a data package containing public domain information on requests made by the MuckRock (https://www.muckrock.com/) project under the United States Freedom of Information Act.

This package contains auxiliary routines for influx software. This packages is not intended to be used directly. Influx was published here: Sokol et al. (2012) <doi:10.1093/bioinformatics/btr716>.

Spatio-temporal multivariate occupancy models can handle multiple species in occupancy models. This method for fitting such models is described in Hepler and Erhardt (2021) "A spatiotemporal model for multivariate occupancy data".

This package implements two versions of the algorithm namely: stochastic and batch. The package determines also the best number of clusters and offers to the user the best clustering scheme from different results.

Test for independence of two random vectors, learn and report the dependency structure. For more information, see Gorsky, Shai and Li Ma, Multiscale Fisher's Independence Test for Multivariate Dependence, Biometrika, accepted, January 2022.

This package provides functions for simulating, estimating and forecasting stationary Vector Autoregressive (VAR) models for multiple subject data using the penalized multi-VAR framework in Fisher, Kim and Pipiras (2020) <arXiv:2007.05052>.