This package provides a package containing an environment representing the Mu11KsubA.CDF file.

This package provides a package containing an environment representing the Mu19KsubA.CDF file.

This package provides a package containing an environment representing the Mu19KsubC.CDF file.

Affymetrix Affymetrix Mu19KsubC Array annotation data (chip mu19ksubc) assembled using data from public repositories.

Affymetrix Affymetrix Mu19KsubA Array annotation data (chip mu19ksuba) assembled using data from public repositories.

Affymetrix Affymetrix Mu11KsubA Array annotation data (chip mu11ksuba) assembled using data from public repositories.

Affymetrix Affymetrix Mu11KsubB Array annotation data (chip mu11ksubb) assembled using data from public repositories.

Affymetrix Affymetrix Mu19KsubB Array annotation data (chip mu19ksubb) assembled using data from public repositories.

This is a class file for writing MA thesis as required by the Department of Linguistics at the University of Mumbai.

MUcomplete is an implementation of chained (fallback) completion, whereby several completion methods are attempted one after another until a result is returned.

Mullvad Browser is a privacy-focused web browser developed in collaboration between Mullvad VPN and the Tor Project. It’s produced to minimize tracking and fingerprinting.

The Munkres module provides an implementation of the Munkres algorithm (also called the Hungarian algorithm or the Kuhn-Munkres algorithm), useful for solving the Assignment Problem.

The Munich BibTeX style is produced with custom-bib, as a German (and, more generally, Continental European) alternative to such author-date styles as harvard and oxford.

Convert a logical vector or a vector of p-values or a correlation, difference, or distance matrix into a display identifying the pairs for which the differences were not significantly different.

The package provides a LaTeX class for typesetting term papers at the institute of music and musicology of the University of Osnabruck, Germany, according to the specifications of Prof.: Stefan Hahnheide. A BibLaTeX style is provided.

This is a plugin to streaming to multiple RTMP servers concurrently. It's able to share encoders with main output of OBS to save CPU power. It can also use standalone encoders with basic configuration (bitrate).

Mustache templating library for Emacs, mustache is a simple web template system, which is described as a logic-less system because it lacks any explicit control flow statements, both looping and conditional evaluation can be achieved using section tags processing lists and lambdas.

Flexible implementation of a structural change point detection algorithm for multivariate time series. It authorizes inclusion of trends, exogenous variables, and break test on the intercept or on the full vector autoregression system. Bai, Lumsdaine, and Stock (1998) <doi:10.1111/1467-937X.00051>.

MusE is a MIDI/Audio sequencer with recording and editing capabilities. Its audio sequencer supports the LADSPA, DSSI, and LV2 audio plugin formats; the MIDI sequencer provides a piano roll, a drum editor, a list view, and a score editor. MusE aims to be a complete multitrack virtual studio.

This package provides an implementation of the BRGE's (Bioinformatic Research Group in Epidemiology from Center for Research in Environmental Epidemiology) MultiDataSet and ResultSet. MultiDataSet is designed for integrating multi omics data sets and ResultSet is a container for omics results. This package contains base classes for MEAL and rexposome packages.

Exports two functions implementing multi-way clustering using the method suggested by Cameron, Gelbach, & Miller (2011) and cluster (or block) bootstrapping for estimating variance-covariance matrices. Normal one and two-way clustering matches the results of other common statistical packages. Missing values are handled transparently and rudimentary parallelization support is provided.

This package provides a set of basic and extensible data structures and functions for multivariate analysis, including dimensionality reduction techniques, projection methods, and preprocessing functions. The aim of this package is to offer a flexible and user-friendly framework for multivariate analysis that can be easily extended for custom requirements and specific data analysis tasks.

This package provides methods for quantifying the information gain contributed by individual modalities in multimodal regression models. Information gain is measured using Expected Relative Entropy (ERE) or pseudo-R² metrics, with corresponding p-values and confidence intervals. Currently supports linear and logistic regression models with plans for extension to additional Generalized Linear Models and Cox proportional hazard model.

Estimates key quantities in causal mediation analysis - including average causal mediation effects (indirect effects), average direct effects, total effects, and proportions mediated - in the presence of multiple uncausally related mediators. Methods are described by Jérolon et al., (2021) <doi:10.1515/ijb-2019-0088> and extended to accommodate survival outcomes as described by Domingo-Relloso et al., (2024) <doi:10.1101/2024.02.16.24302923>.