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    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
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/_/ /      / / /____\/ /       \ \_\\ \/___/ /
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r-multirnaflow 1.6.0
Propagated dependencies: r-upsetr@1.4.0 r-summarizedexperiment@1.38.1 r-s4vectors@0.46.0 r-reshape2@1.4.4 r-plot3drgl@1.0.5 r-plot3d@1.4.1 r-mfuzz@2.68.0 r-gprofiler2@0.2.3 r-ggrepel@0.9.6 r-ggplotify@0.1.2 r-ggplot2@3.5.2 r-ggalluvial@0.12.5 r-factominer@2.11 r-factoextra@1.0.7 r-deseq2@1.48.1 r-complexheatmap@2.24.0 r-biobase@2.68.0
Channel: guix-bioc
Location: guix-bioc/packages/m.scm (guix-bioc packages m)
Home page: https://github.com/loubator/MultiRNAflow
Licenses: GPL 3 FSDG-compatible
Synopsis: An R package for integrated analysis of temporal RNA-seq data with multiple biological conditions
Description:

Our R package MultiRNAflow provides an easy to use unified framework allowing to automatically make both unsupervised and supervised (DE) analysis for datasets with an arbitrary number of biological conditions and time points. In particular, our code makes a deep downstream analysis of DE information, e.g. identifying temporal patterns across biological conditions and DE genes which are specific to a biological condition for each time.

python-mutagen 1.47.0
Channel: guix
Location: gnu/packages/music.scm (gnu packages music)
Home page: https://mutagen.readthedocs.io/
Licenses: GPL 2
Synopsis: Read and write audio tags
Description:

Mutagen is a Python module to handle audio metadata. It supports ASF, FLAC, M4A, Monkey’s Audio, MP3, Musepack, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, WavPack and OptimFROG audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level.

r-multnonparam 1.3.9
Propagated dependencies: r-icsnp@1.1-2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MultNonParam
Licenses: GPL 2
Synopsis: Multivariate Nonparametric Methods
Description:

This package provides a collection of multivariate nonparametric methods, selected in part to support an MS level course in nonparametric statistical methods. Methods include adjustments for multiple comparisons, implementation of multivariate Mann-Whitney-Wilcoxon testing, inversion of these tests to produce a confidence region, some permutation tests for linear models, and some algorithms for calculating exact probabilities associated with one- and two- stage testing involving Mann-Whitney-Wilcoxon statistics. Supported by grant NSF DMS 1712839. See Kolassa and Seifu (2013) <doi:10.1016/j.acra.2013.03.006>.

r-multinomineq 0.2.6
Propagated dependencies: r-rglpk@0.6-5.1 r-rcppxptrutils@0.1.2 r-rcppprogress@0.4.2 r-rcpparmadillo@14.4.3-1 r-rcpp@1.0.14 r-quadprog@1.5-8 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/danheck/multinomineq
Licenses: GPL 3
Synopsis: Bayesian Inference for Multinomial Models with Inequality Constraints
Description:

This package implements Gibbs sampling and Bayes factors for multinomial models with linear inequality constraints on the vector of probability parameters. As special cases, the model class includes models that predict a linear order of binomial probabilities (e.g., p[1] < p[2] < p[3] < .50) and mixture models assuming that the parameter vector p must be inside the convex hull of a finite number of predicted patterns (i.e., vertices). A formal definition of inequality-constrained multinomial models and the implemented computational methods is provided in: Heck, D.W., & Davis-Stober, C.P. (2019). Multinomial models with linear inequality constraints: Overview and improvements of computational methods for Bayesian inference. Journal of Mathematical Psychology, 91, 70-87. <doi:10.1016/j.jmp.2019.03.004>. Inequality-constrained multinomial models have applications in the area of judgment and decision making to fit and test random utility models (Regenwetter, M., Dana, J., & Davis-Stober, C.P. (2011). Transitivity of preferences. Psychological Review, 118, 42â 56, <doi:10.1037/a0021150>) or to perform outcome-based strategy classification to select the decision strategy that provides the best account for a vector of observed choice frequencies (Heck, D.W., Hilbig, B.E., & Moshagen, M. (2017). From information processing to decisions: Formalizing and comparing probabilistic choice models. Cognitive Psychology, 96, 26â 40. <doi:10.1016/j.cogpsych.2017.05.003>).

emacs-multitran 20240206.1617
Channel: emacs
Location: emacs/packages/melpa.scm (emacs packages melpa)
Home page: https://github.com/zevlg/multitran.el
Licenses:
Synopsis: Interface to multitran
Description:

Documentation at https://melpa.org/#/multitran

emacs-mutt-mode 20191102.2330
Channel: emacs
Location: emacs/packages/melpa.scm (emacs packages melpa)
Home page: https://gitlab.com/flexw/mutt-mode
Licenses:
Synopsis: Major mode for editing mutt configuration
Description:

Documentation at https://melpa.org/#/mutt-mode

emacs-multi-run 20210108.336
Propagated dependencies: emacs-window-layout@20241104.900
Channel: emacs
Location: emacs/packages/melpa.scm (emacs packages melpa)
Home page: https://www.github.com/sagarjha/multi-run
Licenses:
Synopsis: Efficiently manage multiple remote nodes
Description:

Documentation at https://melpa.org/#/multi-run

emacs-evil-mu4e 20180613.1039
Propagated dependencies: emacs-evil@20250812.1023
Channel: emacs
Location: emacs/packages/melpa.scm (emacs packages melpa)
Home page: https://github.com/JorisE/evil-mu4e
Licenses:
Synopsis: Evil-based key bindings for mu4e
Description:

Documentation at https://melpa.org/#/evil-mu4e

texlive-musikui 2025.2
Channel: guix
Location: gnu/packages/tex.scm (gnu packages tex)
Home page: https://ctan.org/pkg/musikui
Licenses: LPPL (any version)
Synopsis: Easy creation of ``arithmetical restoration'' puzzles
Description:

This package permits easily typesetting arithmetical restorations using LaTeX.

r-mu6500subacdf 2.18.0
Propagated dependencies: r-annotationdbi@1.70.0
Channel: guix-bioc
Location: guix-bioc/packages/m.scm (guix-bioc packages m)
Home page: https://bioconductor.org/packages/mu6500subacdf
Licenses: LGPL 2.0+
Synopsis: mu6500subacdf
Description:

This package provides a package containing an environment representing the Mu6500subA.CDF file.

r-mu6500subbcdf 2.18.0
Propagated dependencies: r-annotationdbi@1.70.0
Channel: guix-bioc
Location: guix-bioc/packages/m.scm (guix-bioc packages m)
Home page: https://bioconductor.org/packages/mu6500subbcdf
Licenses: LGPL 2.0+
Synopsis: mu6500subbcdf
Description:

This package provides a package containing an environment representing the Mu6500subB.CDF file.

r-mu6500subccdf 2.18.0
Propagated dependencies: r-annotationdbi@1.70.0
Channel: guix-bioc
Location: guix-bioc/packages/m.scm (guix-bioc packages m)
Home page: https://bioconductor.org/packages/mu6500subccdf
Licenses: LGPL 2.0+
Synopsis: mu6500subccdf
Description:

This package provides a package containing an environment representing the Mu6500subC.CDF file.

r-mu6500subdcdf 2.18.0
Propagated dependencies: r-annotationdbi@1.70.0
Channel: guix-bioc
Location: guix-bioc/packages/m.scm (guix-bioc packages m)
Home page: https://bioconductor.org/packages/mu6500subdcdf
Licenses: LGPL 2.0+
Synopsis: mu6500subdcdf
Description:

This package provides a package containing an environment representing the Mu6500subD.CDF file.

emacs-multitran 0.5.1-1.bebab5d
Channel: rrr
Location: rrr/packages/emacs-xyz.scm (rrr packages emacs-xyz)
Home page: https://github.com/zevlg/multitran.el
Licenses: GPL 3+
Synopsis: Emacs interface to the multitran.com online dictionary
Description:

emacs-multitran is a zero-dependency Emacs interface to the https://multitran.com online dictionary.

emacs-multitran 0.4.16
Channel: guix
Location: gnu/packages/emacs-xyz.scm (gnu packages emacs-xyz)
Home page: https://github.com/zevlg/multitran.el
Licenses: GPL 3+
Synopsis: Emacs interface to the multitran.com online dictionary
Description:

emacs-multitran is a zero-dependency Emacs interface to the https://multitran.com online dictionary.

r-multilevelpsa 1.3.0
Propagated dependencies: r-xtable@1.8-4 r-reshape@0.8.9 r-psych@2.5.3 r-psagraphics@2.1.3 r-plyr@1.8.9 r-party@1.3-18 r-mass@7.3-65 r-ggplot2@3.5.2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://jbryer.github.io/multilevelPSA/
Licenses: GPL 2+
Synopsis: Multilevel Propensity Score Analysis
Description:

Conducts and visualizes propensity score analysis for multilevel, or clustered data. Bryer & Pruzek (2011) <doi:10.1080/00273171.2011.636693>.

ruby-mustermann 3.0.0
Channel: guix
Location: gnu/packages/ruby-xyz.scm (gnu packages ruby-xyz)
Home page: https://github.com/sinatra/mustermann
Licenses: Expat
Synopsis: Library implementing patterns that behave like regular expressions
Description:

Given a string pattern, Mustermann will turn it into an object that behaves like a regular expression and has comparable performance characteristics.

texlive-mucproc 2025.2
Channel: guix
Location: gnu/packages/tex.scm (gnu packages tex)
Home page: https://ctan.org/pkg/mucproc
Licenses: LPPL 1.3+
Synopsis: Conference proceedings for the German MuC-conference
Description:

The mucproc.cls is a document class to support the formatting guidelines for submissions to the German Mensch und Computer conference.

mumps-mkl-metis 5.8.0
Dependencies: intel-oneapi-mkl@2023.2.0 gfortran@11.4.0 metis@5.1.0
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/maths.scm (guix-science-nonfree packages maths)
Home page: https://mumps-solver.org
Licenses: CeCILL-C
Synopsis: Multifrontal sparse direct solver (with Intel® MKL)
Description:

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

mumps-mkl-metis 5.8.0
Dependencies: intel-oneapi-mkl@2023.2.0 gfortran@11.4.0 metis@5.1.0
Channel: guix-hpc-non-free
Location: hacky/mumps-mkl.scm (hacky mumps-mkl)
Home page: https://mumps-solver.org
Licenses: CeCILL-C
Synopsis: Multifrontal sparse direct solver (with Intel® MKL)
Description:

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

ecl-cl-mustache 0.12.1
Channel: guix
Location: gnu/packages/lisp-xyz.scm (gnu packages lisp-xyz)
Home page: https://github.com/kanru/cl-mustache
Licenses: Expat
Synopsis: Common Lisp Mustache template renderer
Description:

This is a Common Lisp implementation for the Mustache template system. More details on the standard are available at https://mustache.github.io.

r-multsurvtests 0.2
Propagated dependencies: r-rdpack@2.6.4 r-rcpparmadillo@14.4.3-1 r-rcpp@1.0.14
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/lukketotte/MultSurvTests
Licenses: Expat
Synopsis: Permutation Tests for Multivariate Survival Analysis
Description:

Multivariate version of the two-sample Gehan and logrank tests, as described in L.J Wei & J.M Lachin (1984) and Persson et al. (2019).

r-multiscaledtm 1.0
Propagated dependencies: r-terra@1.8-50 r-shiny@1.10.0 r-rgl@1.3.18 r-rcpparmadillo@14.4.3-1 r-rcpp@1.0.14 r-raster@3.6-32 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://ailich.github.io/MultiscaleDTM/
Licenses: GPL 3+
Synopsis: Multi-Scale Geomorphometric Terrain Attributes
Description:

Calculates multi-scale geomorphometric terrain attributes from regularly gridded digital terrain models using a variable focal windows size (Ilich et al. (2023) <doi:10.1111/tgis.13067>).

r-nls-multstart 2.0.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.2.1 r-rlang@1.1.6 r-purrr@1.0.4 r-minpack-lm@1.2-4 r-lhs@1.2.0 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nls.multstart
Licenses: GPL 3
Synopsis: Robust Non-Linear Regression using AIC Scores
Description:

Non-linear least squares regression with the Levenberg-Marquardt algorithm using multiple starting values for increasing the chance that the minimum found is the global minimum.

Total results: 525