Hash::MultiValue is an object (and a plain hash reference) that may contain multiple values per key, inspired by MultiDict of WebOb.

This package provides an org-mode link type that allows execution of various mu4e queries when clicked. Such links can be organized into a dashboard, by simply writing an org file.

This plugin was an answer to the lack of proper multiple cursor support in Emacs+Evil. It allows you to select and edit matches interactively, integrating iedit-mode into Evil mode with an attempt at sensible defaults.

This package provides tools to perform interrupted-time series through a generalised least squares (GLS) framework on linear outcomes. Allows for multiple interventions and a control with ARMA (autoregressive and moving-average) correction. For more details see Lopez Bernal, Cummins, and Gasparrini (2017) <doi:10.1093/ije/dyw098>.

This package lets you customize the appearance of the vertical rule that appears between columns of multicolumn text. It is primarily intended to work with the multicol package, hence its name, but also supports the twocolumn option and \twocolumn macro provided by the standard classes (and related classes such as the KOMA-Script equivalents).

This package provides functions to predict one multi-way array (i.e., a tensor) from another multi-way array, using a low-rank CANDECOMP/PARAFAC (CP) factorization and a ridge (L_2) penalty [Lock, EF (2018) <doi:10.1080/10618600.2017.1401544>]. Also includes functions to sample from the Bayesian posterior of a tensor-on-tensor model.

This hook sends emails describing changes introduced by pushes to a Git repository. For each reference that was changed, it emits one ReferenceChange email summarizing how the reference was changed, followed by one Revision email for each new commit that was introduced by the reference change.

This script is designed to be used as a post-receive hook in a Git repository

This package makes available the most commonly used symbols in writing about music in a way that can be used with pdfLaTeX and looks consistent and attractive. It includes accidentals, meters, and notes of different rhythmic values. The package builds on the approach used in the harmony package, where the symbols are taken from the MusiXTeX fonts. But it provides a larger range of symbols and a more flexible, user-friendly interface.

This package provides tools to analysis of experiments having two or more quantitative explanatory variables and one quantitative dependent variable. Experiments can be without repetitions or with a statistical design (Hair JF, 2016) <ISBN: 13: 978-0138132637>. Pacote para uma analise de experimentos havendo duas ou mais variaveis explicativas quantitativas e uma variavel dependente quantitativa. Os experimentos podem ser sem repeticoes ou com delineamento estatistico (Hair JF, 2016) <ISBN: 13: 978-0138132637>.

Model infectious disease dynamics in populations with multiple subgroups having different vaccination rates, transmission characteristics, and contact patterns. Calculate final and intermediate outbreak sizes, form age-structured contact models with automatic fetching of U.S. census data, and explore vaccination scenarios with an interactive shiny dashboard for a model with two subgroups, as described in Nguyen et al. (2024) <doi:10.1016/j.jval.2024.03.039> and Duong et al. (2026) <doi:10.1093/ofid/ofaf695.217>.

This package provides tools for typesetting Sudoku grids of various sizes in LaTeX. Unlike other Sudoku packages which are typically limited to the standard 9x9 layout, this package supports a broad range of grid sizes, from trivial 1x1 to extended 49x49 puzzles.

Grids are drawn with our sudoku environment, which is based on LaTeX's native tabular environment. The package includes options to control dimensions, font size, and grid thickness. Entries in the grid are inserted as in a regular table, thus making it simple to create, customize, and fill Sudoku puzzles manually.

The effects of the site may severely bias the accuracy of a multisite machine-learning model, even if the analysts removed them when fitting the model in the training set and applying the model in the test set (Solanes et al., Neuroimage 2023, 265:119800). This simple R package estimates the accuracy of a multisite machine-learning model unbiasedly, as described in (Solanes et al., Psychiatry Research: Neuroimaging 2021, 314:111313). It currently supports the estimation of sensitivity, specificity, balanced accuracy (for binary or multinomial variables), the area under the curve, correlation, mean squarer error, and hazard ratio for binomial, multinomial, gaussian, and survival (time-to-event) outcomes.

This package provides tools for small area estimation using a projection estimator with a linear multilevel working model. The main function fits a multilevel model to a smaller survey containing the response variable and auxiliary predictors. The fitted model is used to predict outcomes in a larger projection survey, and domain-level estimates are computed by combining synthetic predictions with a design-based residual correction. For methodological references, see Kim and Rao (2012) <doi:10.1093/biomet/asr063>, Food and Agriculture Organization of the United Nations (2021) <doi:10.4060/cb3253en>, and Moura and Holt (1999) <https://www150.statcan.gc.ca/n1/pub/12-001-x/1999001/article/4714-eng.pdf>.

Multisite causal mediation analysis using the methods proposed by Qin and Hong (2017) <doi:10.3102/1076998617694879>, Qin, Hong, Deutsch, and Bein (2019) <doi:10.1111/rssa.12446>, and Qin, Deutsch, and Hong (2021) <doi:10.1002/pam.22268>. It enables causal mediation analysis in multisite trials, in which individuals are assigned to a treatment or a control group at each site. It allows for estimation and hypothesis testing for not only the population average but also the between-site variance of direct and indirect effects transmitted through one single mediator or two concurrent (conditionally independent) mediators. This strategy conveniently relaxes the assumption of no treatment-by-mediator interaction while greatly simplifying the outcome model specification without invoking strong distributional assumptions. This package also provides a function that can further incorporate a sample weight and a nonresponse weight for multisite causal mediation analysis in the presence of complex sample and survey designs and non-random nonresponse, to enhance both the internal validity and external validity. The package also provides a weighting-based balance checking function for assessing the remaining overt bias.

Multidimensional disables multidimensional array emulation.

This package provides several commands for generating footnotes with multiple numbers (resp., marks).

This package allows generating several versions of the same document for different audiences.

This package provides the Network.Multicast Haskell module for sending UDP datagrams over multicast (class D) addresses.

Musicbrainzngs implements Python bindings of the MusicBrainz web service. This library can be used to retrieve music metadata from the MusicBrainz database.

This package provides the meson command, implemented as a symbolic link to the muon command of muon package.

Mupen64Plus is a cross-platform plugin-based Nintendo 64 (N64) emulator which is capable of accurately playing many games. This package contains the SDL input plugin.

Mupen64Plus is a cross-platform plugin-based Nintendo 64 (N64) emulator which is capable of accurately playing many games. This package contains the SDL audio plugin.

Mupen64Plus is a cross-platform plugin-based Nintendo 64 (N64) emulator which is capable of accurately playing many games. This package contains the Z64 video plugin.

This package contains a multicore Barnes-Hut implementation of the t-SNE algorithm. The implementation is described here: http://lvdmaaten.github.io/publications/papers/JMLR_2014.pdf.