_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-multikink 0.2.0
Propagated dependencies: r-quantreg@6.1 r-pracma@2.4.4 r-matrix@1.7-3 r-gam@1.22-5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MultiKink
Licenses: GPL 2+ GPL 3+
Synopsis: Estimation and Inference for Multi-Kink Quantile Regression
Description:

Estimation and inference for multiple kink quantile regression for longitudinal data and the i.i.d data. A bootstrap restarting iterative segmented quantile algorithm is proposed to estimate the multiple kink quantile regression model conditional on a given number of change points. The number of kinks is also allowed to be unknown. In such case, the backward elimination algorithm and the bootstrap restarting iterative segmented quantile algorithm are combined to select the number of change points based on a quantile BIC. For longitudinal data, we also develop the GEE estimator to incorporate the within-subject correlations. A score-type based test statistic is also developed for testing the existence of kink effect. The package is based on the paper, ``Wei Zhong, Chuang Wan and Wenyang Zhang (2022). Estimation and inference for multikink quantile regression, JBES and ``Chuang Wan, Wei Zhong, Wenyang Zhang and Changliang Zou (2022). Multi-kink quantile regression for longitudinal data with application to progesterone data analysis, Biometrics".

emacs-mutant 20160124.1353
Propagated dependencies: emacs-dash@20250312.1307
Channel: emacs
Location: emacs/packages/melpa.scm (emacs packages melpa)
Home page: http://github.com/p-lambert/mutant.el
Licenses:
Synopsis: An interface for the Mutant testing tool
Description:

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

emacs-mu2tex 20200512.704
Channel: emacs
Location: emacs/packages/melpa.scm (emacs packages melpa)
Home page: https://github.com/cdominik/mu2tex
Licenses:
Synopsis: Convert plain text molecule names and units to TeX
Description:

Documentation at https://melpa.org/#/mu2tex

python-munch 4.0.0
Channel: guix
Location: gnu/packages/python-xyz.scm (gnu packages python-xyz)
Home page: https://github.com/Infinidat/munch
Licenses: Expat
Synopsis: Dot-accessible dictionary
Description:

Munch is a dot-accessible dictionary similar to JavaScript objects.

r-multivator 1.1-11
Propagated dependencies: r-mvtnorm@1.3-3 r-mathjaxr@1.8-0 r-emulator@1.2-24
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/RobinHankin/multivator
Licenses: GPL 2
Synopsis: Multivariate Emulator
Description:

This package provides a multivariate generalization of the emulator package.

r-multidplyr 0.1.3
Propagated dependencies: r-callr@3.7.6 r-cli@3.6.5 r-crayon@1.5.3 r-dplyr@1.1.4 r-magrittr@2.0.3 r-qs@0.27.3 r-r6@2.6.1 r-rlang@1.1.6 r-tibble@3.2.1 r-tidyselect@1.2.1 r-vctrs@0.6.5
Channel: guix
Location: gnu/packages/cran.scm (gnu packages cran)
Home page: https://multidplyr.tidyverse.org
Licenses: Expat
Synopsis: Multi-process dplyr backend
Description:

Partition a data frame across multiple worker processes to provide simple multicore parallelism.

r-multisensi 2.1-1
Propagated dependencies: r-sensitivity@1.30.1 r-knitr@1.50
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=multisensi
Licenses: FSDG-compatible
Synopsis: Multivariate Sensitivity Analysis
Description:

This package provides functions to perform sensitivity analysis on a model with multivariate output.

ruby-mutex-m 0.3.0
Channel: guix
Location: gnu/packages/ruby-xyz.scm (gnu packages ruby-xyz)
Home page: https://github.com/ruby/mutex_m
Licenses: FreeBSD
Synopsis: Mixin to extend objects to be handled like a Mutex.
Description:

When mutex_m is required, any object that extends or includes Mutex_m will be treated like a Mutex.

r-multigraph 0.99-3
Propagated dependencies: r-multiplex@3.9
Channel: guix
Location: gnu/packages/cran.scm (gnu packages cran)
Home page: https://github.com/mplex/multigraph/
Licenses: GPL 3
Synopsis: Plot and manipulate multigraphs
Description:

This package provides functions to plot and manipulate multigraphs, signed and valued graphs, bipartite graphs, multilevel graphs, and Cayley graphs with various layout options.

r-multivarmi 1.0
Propagated dependencies: r-poisnonnor@1.6.3 r-norm@1.0-11.1 r-moments@0.14.1 r-matrix@1.7-3 r-corrtoolbox@1.6.4 r-corpcor@1.6.10 r-binordnonnor@1.5.2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MultiVarMI
Licenses: GPL 2 GPL 3
Synopsis: Multiple Imputation for Multivariate Data
Description:

Fully parametric Bayesian multiple imputation framework for massive multivariate data of different variable types as seen in Demirtas, H. (2017) <doi:10.1007/978-981-10-3307-0_8>.

cpp-mustache 5.0
Channel: guix
Location: gnu/packages/cpp.scm (gnu packages cpp)
Home page: https://github.com/kainjow/Mustache
Licenses: Boost 1.0
Synopsis: Mustache text templates for modern C++
Description:

cpp-mustache is a Mustache implementation for C++ 11 and above. It is header only and has zero dependencies. It provides a templated string type for compatibility with any STL-like string (std::string, std::wstring, etc).

r-multiwgcna 1.6.0
Propagated dependencies: r-wgcna@1.73 r-summarizedexperiment@1.38.1 r-stringr@1.5.1 r-scales@1.4.0 r-reshape2@1.4.4 r-readr@2.1.5 r-patchwork@1.3.0 r-igraph@2.1.4 r-ggrepel@0.9.6 r-ggplot2@3.5.2 r-ggalluvial@0.12.5 r-flashclust@1.01-2 r-dplyr@1.1.4 r-dcanr@1.24.0 r-data-table@1.17.4 r-cowplot@1.1.3
Channel: guix-bioc
Location: guix-bioc/packages/m.scm (guix-bioc packages m)
Home page: https://bioconductor.org/packages/multiWGCNA
Licenses: GPL 3
Synopsis: multiWGCNA
Description:

An R package for deeping mining gene co-expression networks in multi-trait expression data. Provides functions for analyzing, comparing, and visualizing WGCNA networks across conditions. multiWGCNA was designed to handle the common case where there are multiple biologically meaningful sample traits, such as disease vs wildtype across development or anatomical region.

r-multichull 3.0.1
Propagated dependencies: r-shinythemes@1.2.0 r-shiny@1.10.0 r-plotly@4.10.4 r-igraph@2.1.4 r-dt@0.33
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=multichull
Licenses: GPL 2+
Synopsis: Generic Convex-Hull-Based Model Selection Method
Description:

Given a set of models for which a measure of model (mis)fit and model complexity is provided, CHull(), developed by Ceulemans and Kiers (2006) <doi:10.1348/000711005X64817>, determines the models that are located on the boundary of the convex hull and selects an optimal model by means of the scree test values.

r-multvardiv 1.0.11
Propagated dependencies: r-rgl@1.3.18 r-mass@7.3-65 r-data-table@1.17.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://forge.inrae.fr/imhorphen/multvardiv
Licenses: GPL 3+
Synopsis: Multivariate Probability Distributions, Statistical Divergence
Description:

Multivariate generalized Gaussian distribution, Multivariate Cauchy distribution, Multivariate t distribution. Distance between two distributions (see N. Bouhlel and A. Dziri (2019): <doi:10.1109/LSP.2019.2915000>, N. Bouhlel and D. Rousseau (2022): <doi:10.3390/e24060838>, N. Bouhlel and D. Rousseau (2023): <doi:10.1109/LSP.2023.3324594>). Manipulation of these multivariate probability distributions.

r-multitaper 1.0-17
Channel: guix
Location: gnu/packages/cran.scm (gnu packages cran)
Home page: https://github.com/wesleyburr/multitaper/
Licenses: GPL 2+
Synopsis: Multitaper spectral analysis tools
Description:

This package implements multitaper spectral estimation techniques using prolate spheroidal sequences (Slepians) and sine tapers for time series analysis. It includes an adaptive weighted multitaper spectral estimate, a coherence estimate, Thomson's Harmonic F-test, and complex demodulation. The Slepians sequences are generated efficiently using a tridiagonal matrix solution, and jackknifed confidence intervals are available for most estimates.

r-multiridge 1.11
Propagated dependencies: r-survival@3.8-3 r-snowfall@1.84-6.3 r-proc@1.18.5 r-mgcv@1.9-3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=multiridge
Licenses: GPL 3+
Synopsis: Fast Cross-Validation for Multi-Penalty Ridge Regression
Description:

Multi-penalty linear, logistic and cox ridge regression, including estimation of the penalty parameters by efficient (repeated) cross-validation and marginal likelihood maximization. Multiple high-dimensional data types that require penalization are allowed, as well as unpenalized variables. Paired and preferential data types can be specified. See Van de Wiel et al. (2021), <arXiv:2005.09301>.

r-multilcirt 2.12
Propagated dependencies: r-mass@7.3-65 r-limsolve@1.5.7.2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MultiLCIRT
Licenses: GPL 2+
Synopsis: Multidimensional Latent Class Item Response Theory Models
Description:

Framework for the Item Response Theory analysis of dichotomous and ordinal polytomous outcomes under the assumption of multidimensionality and discreteness of the latent traits. The fitting algorithms allow for missing responses and for different item parameterizations and are based on the Expectation-Maximization paradigm. Individual covariates affecting the class weights may be included in the new version (since 2.1).

r-ergm-multi 0.3.0
Propagated dependencies: r-tibble@3.2.1 r-statnet-common@4.12.0 r-rle@0.10.0 r-rlang@1.1.6 r-rdpack@2.6.4 r-purrr@1.0.4 r-networklite@1.1.0 r-network@1.19.0 r-matrix@1.7-3 r-glue@1.8.0 r-ergm@4.10.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://statnet.org
Licenses: FSDG-compatible
Synopsis: Fit, Simulate and Diagnose Exponential-Family Models for Multiple or Multilayer Networks
Description:

This package provides a set of extensions for the ergm package to fit multilayer/multiplex/multirelational networks and samples of multiple networks. ergm.multi is a part of the Statnet suite of packages for network analysis. See Krivitsky, Koehly, and Marcum (2020) <doi:10.1007/s11336-020-09720-7> and Krivitsky, Coletti, and Hens (2023) <doi:10.1080/01621459.2023.2242627>.

r-mufimeshgp 0.0.1
Propagated dependencies: r-rcpparmadillo@14.4.3-1 r-rcpp@1.0.14 r-lhs@1.2.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MuFiMeshGP
Licenses: LGPL 2.0+
Synopsis: Multi-Fidelity Emulator for Computer Experiments with Tunable Fidelity Levels
Description:

Multi-Fidelity emulator for data from computer simulations of the same underlying system but at different input locations and fidelity level, where both the input locations and fidelity level can be continuous. Active Learning can be performed with an implementation of the Integrated Mean Square Prediction Error (IMSPE) criterion developed by Boutelet and Sung (2025, <doi:10.48550/arXiv.2503.23158>).

r-multregcmp 0.1.0
Propagated dependencies: r-purrr@1.0.4 r-progress@1.2.3 r-mvnfast@0.2.8 r-ggplot2@3.5.2 r-cowplot@1.1.3 r-bayesplot@1.12.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MultRegCMP
Licenses: Expat
Synopsis: Bayesian Multivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data
Description:

Fits a Bayesian Regression Model for multivariate count data. This model assumes that the data is distributed according to the Conway-Maxwell-Poisson distribution, and for each response variable it is associate different covariates. This model allows to account for correlations between the counts by using latent effects based on the Chib and Winkelmann (2001) <http://www.jstor.org/stable/1392277> proposal.

r-multilevel 2.7
Propagated dependencies: r-mass@7.3-65 r-nlme@3.1-168
Channel: guix
Location: gnu/packages/cran.scm (gnu packages cran)
Home page: https://www.r-project.org
Licenses: GPL 2+
Synopsis: Multilevel functions
Description:

This package provides tools used by organizational researchers for the analysis of multilevel data. It includes four broad sets of tools.

  1. functions for estimating within-group agreement and reliability indices.

  2. functions for manipulating multilevel and longitudinal (panel) data.

  3. simulations for estimating power and generating multilevel data.

  4. miscellaneous functions for estimating reliability and performing simple calculations and data transformations.

r-multiblock 0.8.10
Propagated dependencies: r-ssbtools@1.8.1 r-rspectra@0.16-2 r-rcppeigen@0.3.4.0.2 r-rcpp@1.0.14 r-progress@1.2.3 r-pracma@2.4.4 r-plsvarsel@0.9.13 r-pls@2.8-5 r-plotrix@3.8-4 r-mixlm@1.4.3 r-mass@7.3-65 r-hdanova@0.8.4 r-car@3.1-3 r-ade4@1.7-23
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://khliland.github.io/multiblock/
Licenses: GPL 2+
Synopsis: Multiblock Data Fusion in Statistics and Machine Learning
Description:

This package provides functions and datasets to support Smilde, Næs and Liland (2021, ISBN: 978-1-119-60096-1) "Multiblock Data Fusion in Statistics and Machine Learning - Applications in the Natural and Life Sciences". This implements and imports a large collection of methods for multiblock data analysis with common interfaces, result- and plotting functions, several real data sets and six vignettes covering a range different applications.

r-multipledl 1.0.0
Propagated dependencies: r-stanheaders@2.32.10 r-sparsem@1.84-2 r-rstantools@2.4.0 r-rstan@2.32.7 r-rcppparallel@5.1.10 r-rcppeigen@0.3.4.0.2 r-rcpp@1.0.14 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=multipleDL
Licenses: GPL 2+
Synopsis: Addressing Detection Limits by Cumulative Probability Models (CPMs)
Description:

Build CPMs (cumulative probability models, also known as cumulative link models) to account for detection limits (both single and multiple detection limits) in response variables. Conditional quantiles and conditional CDFs can be calculated based on fitted models. The package implements methods described in Tian, Y., Li, C., Tu, S., James, N. T., Harrell, F. E., & Shepherd, B. E. (2022). "Addressing Detection Limits with Semiparametric Cumulative Probability Models". <arXiv:2207.02815>.

r-multicastr 2.0.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://multicast.aspra.uni-bamberg.de/
Licenses: FSDG-compatible
Synopsis: Companion to the Multi-CAST Collection
Description:

This package provides a basic interface for accessing annotation data from the Multi-CAST collection, a database of spoken natural language texts edited by Geoffrey Haig and Stefan Schnell. The collection draws from a diverse set of languages and has been annotated across multiple levels. Annotation data is downloaded on request from the servers of the University of Bamberg. See the Multi-CAST website <https://multicast.aspra.uni-bamberg.de/> for more information and a list of related publications.

Total results: 525