Estimation of multivariate differences between two groups (e.g., multivariate sex differences) with regularized regression methods and predictive approach. See Ilmarinen et al. (2023) <doi:10.1177/08902070221088155>. Deconstructing difference score correlations (e.g., gender-equality paradox), see Ilmarinen & Lönnqvist (2024) <doi:10.1037/pspp0000508>. Includes also tools that help in understanding difference score reliability, conditional intra-class correlations, tail-dependency, and heterogeneity of variance estimates. Package development was supported by the Academy of Finland research grant 338891.

qr_mumps is a software package for the solution of sparse, linear systems on multicore computers based on the QR factorization of the input matrix. Therefore, it is suited to solving sparse least-squares problems and to computing the minimum-norm solution of sparse,underdetermined problems. It can obviously be used for solving square problems in which case the stability provided by the use of orthogonal transformations comes at the cost of a higher operation count with respect to solvers based on, e.g., the LU factorization. qr_mumps supports real and complex, single or double precision arithmetic. This is an experimental version of the package for distributed memory.

A Vim plugin to visualize the Vim undo tree

Musikcube is a terminal-based music player, library, and streaming audio server.

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.

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.

This package provides functionality for processing and statistical analysis of multiplexed assays of variant effect (MAVE) and similar data. The package contains functions covering the full workflow from raw FASTQ files to publication-ready visualizations. A broad range of library designs can be processed with a single, unified interface.

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.

This package provides a flexible general-purpose toolbox for implementing Rescorla-Wagner models in multi-armed bandit tasks. As the successor and functional extension of the binaryRL package, multiRL modularizes the Markov Decision Process (MDP) into six core components. This framework enables users to construct custom models via intuitive if-else syntax and define latent learning rules for agents. For parameter estimation, it provides both likelihood-based inference (MLE and MAP) and simulation-based inference (ABC and RNN), with full support for parallel processing across subjects. The workflow is highly standardized, featuring four main functions that strictly follow the four-step protocol (and ten rules) proposed by Wilson & Collins (2019) <doi:10.7554/eLife.49547>. Beyond the three built-in models (TD, RSTD, and Utility), users can easily derive new variants by declaring which variables are treated as free parameters.

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

This package implements methods for testing multiple mediators.

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.

Data package containing a collection of multi-sample multi-group scRNA-seq datasets in SingleCellExperiment Bioconductor object format.