_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.

API method:

GET /api/packages?search=hello&page=1&limit=20

where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned in response headers.

If you'd like to join our channel webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-mateable 0.3.3
Propagated dependencies: r-sn@2.1.1 r-rcpp@1.1.0 r-fnn@1.1.4.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/stuartWagenius/mateable
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Assess Mating Potential in Space and Time
Description:

Simulate, manage, visualize, and analyze spatially and temporally explicit datasets of mating potential. Implements methods to calculate synchrony, proximity, and compatibility.Synchrony calculations are based on methods described in Augspurger (1983) <doi:10.2307/2387650>, Kempenaers (1993) <doi:10.2307/3676415>, Ison et al. (2014) <doi:10.3732/ajb.1300065>, and variations on these, as described.

r-mpn 0.4.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://pub-connect.foodsafetyrisk.org/microbial/mpncalc/
Licenses: FSDG-compatible
Build system: r
Synopsis: Most Probable Number and Other Microbial Enumeration Techniques
Description:

Calculates the Most Probable Number (MPN) to quantify the concentration (density) of microbes in serial dilutions of a laboratory sample (described in Jarvis, 2010 <doi:10.1111/j.1365-2672.2010.04792.x>). Also calculates the Aerobic Plate Count (APC) for similar microbial enumeration experiments.

r-manifoldoptim 1.0.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=ManifoldOptim
Licenses: GPL 2+
Build system: r
Synopsis: An R Interface to the 'ROPTLIB' Library for Riemannian Manifold Optimization
Description:

An R interface to version 0.3 of the ROPTLIB optimization library (see <https://www.math.fsu.edu/~whuang2/> for more information). Optimize real- valued functions over manifolds such as Stiefel, Grassmann, and Symmetric Positive Definite matrices. For details see Martin et. al. (2020) <doi:10.18637/jss.v093.i01>. Note that the optional ldr package used in some of this package's examples can be obtained from either JSS <https://www.jstatsoft.org/index.php/jss/article/view/v061i03/2886> or from the CRAN archives <https://cran.r-project.org/src/contrib/Archive/ldr/ldr_1.3.3.tar.gz>.

r-mirecsurv 1.0.2
Propagated dependencies: r-survival@3.8-3 r-stringi@1.8.7 r-matrixstats@1.5.0 r-compoissonreg@0.8.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=miRecSurv
Licenses: GPL 2+
Build system: r
Synopsis: Left-Censored Recurrent Events Survival Models
Description:

Fitting recurrent events survival models for left-censored data with multiple imputation of the number of previous episodes. See Hernández-Herrera G, Moriña D, Navarro A. (2020) <arXiv:2007.15031>.

r-metadynminer3d 0.0.2
Propagated dependencies: r-rgl@1.3.31 r-rcpp@1.1.0 r-misc3d@0.9-1 r-metadynminer@0.1.7
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://metadynamics.cz/metadynminer3d/
Licenses: GPL 3
Build system: r
Synopsis: Tools to Read, Analyze and Visualize Metadynamics 3D HILLS Files from 'Plumed'
Description:

Metadynamics is a state of the art biomolecular simulation technique. Plumed Tribello, G.A. et al. (2014) <doi:10.1016/j.cpc.2013.09.018> program makes it possible to perform metadynamics using various simulation codes. The results of metadynamics done in Plumed can be analyzed by metadynminer'. The package metadynminer reads 1D and 2D metadynamics hills files from Plumed package. As an addendum, metadynaminer3d is used to visualize 3D hills. It uses a fast algorithm by Hosek, P. and Spiwok, V. (2016) <doi:10.1016/j.cpc.2015.08.037> to calculate a free energy surface from hills. Minima can be located and plotted on the free energy surface. Free energy surfaces and minima can be plotted to produce publication quality images.

r-methscope 1.0.1
Dependencies: zlib@1.3.1
Propagated dependencies: r-xgboost@1.7.11.1 r-uwot@0.2.4 r-tidyr@1.3.1 r-stringr@1.6.0 r-nnls@1.6 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-fnn@1.1.4.1 r-dplyr@1.1.4 r-doparallel@1.0.17 r-data-table@1.17.8 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MethScope
Licenses: Expat
Build system: r
Synopsis: Ultra-Fast Analysis of Sparse DNA Methylome via Recurrent Pattern Encoding
Description:

This package provides methods for analyzing DNA methylation data via Most Recurrent Methylation Patterns (MRMPs). Supports cell-type annotation, spatial deconvolution, unsupervised clustering, and cancer cell-of-origin inference. Includes C-backed summaries for YAME â .cg/.cmâ files (overlap counts, log2 odds ratios, beta/depth aggregation), an XGBoost classifier, NNLS deconvolution, and plotting utilities. Scales to large spatial and single-cell methylomes and is robust to extreme sparsity.

r-metasplines 0.1.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-optimization@1.0-9 r-meta@8.2-1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=metasplines
Licenses: GPL 3+
Build system: r
Synopsis: Pool Literature-Based and Individual Participant Data Based Spline Estimates
Description:

Pooling estimates reported in meta-analyses (literature-based, LB) and estimates based on individual participant data (IPD) is not straight-forward as the details of the LB nonlinear function estimate are not usually reported. This package pools the nonlinear IPD dose-response estimates based on a natural cubic spline from lm or glm with the pointwise LB estimates and their estimated variances. Details will be presented in Härkänen, Tapanainen, Sares-Jäske, Männistö, Kaartinen and Paalanen (2026) "Novel pooling method for nonlinear cohort analysis and meta-analysis estimates: Predicting health outcomes based on climate-friendly diets" Epidemiology <doi:10.1097/EDE.0000000000001932>.

r-modstatr 1.4.1
Propagated dependencies: r-jmuoutlier@2.2 r-hypergeo@1.2-14 r-gsl@2.1-9 r-ellipse@0.5.0 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://fbertran.github.io/homepage/
Licenses: GPL 3
Build system: r
Synopsis: Statistical Modelling in Action with R
Description:

Datasets and functions for the book "Modélisation statistique par la pratique avec R", F. Bertrand, E. Claeys and M. Maumy-Bertrand (2019, ISBN:9782100793525, Dunod, Paris). The first chapter of the book is dedicated to an introduction to the R statistical software. The second chapter deals with correlation analysis: Pearson, Spearman and Kendall simple, multiple and partial correlation coefficients. New wrapper functions for permutation tests or bootstrap of matrices of correlation are provided with the package. The third chapter is dedicated to data exploration with factorial analyses (PCA, CA, MCA, MDA) and clustering. The fourth chapter is dedicated to regression analysis: fitting and model diagnostics are detailed. The exercises focus on covariance analysis, logistic regression, Poisson regression, two-way analysis of variance for fixed or random factors. Various example datasets are shipped with the package: for instance on pokemon, world of warcraft, house tasks or food nutrition analyses.

r-medianews 0.2.1
Propagated dependencies: r-xml2@1.5.0 r-stopwords@2.3 r-rvest@1.0.5 r-lubridate@1.9.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MediaNews
Licenses: LGPL 3
Build system: r
Synopsis: Media News Extraction for Text Analysis
Description:

Extract textual data from different media channels through its source based on users choice of keywords. These data can be used to perform text analysis to identify patterns in respective media reporting. The media channels used in this package are print media. The data (or news) used are publicly available to consumers.

r-mapiso 0.3.0
Propagated dependencies: r-sf@1.0-23 r-isoband@0.2.7
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/riatelab/mapiso
Licenses: GPL 3+
Build system: r
Synopsis: Create Contour Polygons from Regular Grids
Description:

Regularly spaced grids containing continuous data are transformed to contour polygons. A grid can be defined by a data.frame (x, y, value), an sf object or a raster from terra'.

r-mfcurve 1.0.2
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-rlang@1.1.6 r-plotly@4.11.0 r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/XAM12/mfcurve_R
Licenses: GPL 3+
Build system: r
Synopsis: Multi-Factor Curve Analysis for Grouped Data in 'R'
Description:

This package implements multi-factor curve analysis for grouped data in R', replicating and extending the functionality of the the Stata ado mfcurve (Krähmer, 2023) <https://ideas.repec.org/c/boc/bocode/s459224.html>. Related to the idea of specification curve analysis (Simonsohn, Simmons, and Nelson, 2020) <doi:10.1038/s41562-020-0912-z>. Includes data preprocessing, statistical testing, and visualization of results with confidence intervals.

r-multirdpg 1.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=multiRDPG
Licenses: GPL 2
Build system: r
Synopsis: Multiple Random Dot Product Graphs
Description:

Fits the Multiple Random Dot Product Graph Model and performs a test for whether two networks come from the same distribution. Both methods are proposed in Nielsen, A.M., Witten, D., (2018) "The Multiple Random Dot Product Graph Model", arXiv preprint <arXiv:1811.12172> (Submitted to Journal of Computational and Graphical Statistics).

r-mhazard 0.2.3
Propagated dependencies: r-survival@3.8-3 r-rootsolve@1.8.2.4 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-plot3d@1.4.2 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mhazard
Licenses: GPL 3
Build system: r
Synopsis: Nonparametric and Semiparametric Methods for Multivariate Failure Time Data
Description:

Nonparametric survival function estimates and semiparametric regression for the multivariate failure time data with right-censoring. For nonparametric survival function estimates, the Volterra, Dabrowska, and Prentice-Cai estimates for bivariate failure time data may be computed as well as the Dabrowska estimate for the trivariate failure time data. Bivariate marginal hazard rate regression can be fitted for the bivariate failure time data. Functions are also provided to compute (bootstrap) confidence intervals and plot the estimates of the bivariate survival function. For details, see "The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach", Prentice, R., Zhao, S. (2019, ISBN: 978-1-4822-5657-4), CRC Press.

r-mfdfa 1.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://mlaib.github.io
Licenses: GPL 3
Build system: r
Synopsis: MultiFractal Detrended Fluctuation Analysis
Description:

This package contains the MultiFractal Detrended Fluctuation Analysis (MFDFA), MultiFractal Detrended Cross-Correlation Analysis (MFXDFA), and the Multiscale Multifractal Analysis (MMA). The MFDFA() function proposed in this package was used in Laib et al. (<doi:10.1016/j.chaos.2018.02.024> and <doi:10.1063/1.5022737>). See references for more information. Interested users can find a parallel version of the MFDFA() function on GitHub.

r-mod09nrt 0.14
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mod09nrt
Licenses: GPL 2+
Build system: r
Synopsis: Extraction of Bands from MODIS Surface Reflectance Product MOD09 NRT
Description:

Package for processing downloaded MODIS Surface reflectance Product HDF files. Specifically, MOD09 surface reflectance product files, and the associated MOD03 geolocation files (for MODIS-TERRA). The package will be most effective if the user installs MRTSwath (MODIS Reprojection Tool for swath products; <https://lpdaac.usgs.gov/tools/modis_reprojection_tool_swath>, and adds the directory with the MRTSwath executable to the default R PATH by editing ~/.Rprofile.

r-multivarious 0.3.1
Propagated dependencies: r-withr@3.0.2 r-tibble@3.3.0 r-svd@0.5.8 r-rsvd@1.0.5 r-rspectra@0.16-2 r-rlang@1.1.6 r-proxy@0.4-27 r-primme@3.2-6 r-pls@2.8-5 r-matrixstats@1.5.0 r-matrix@1.7-4 r-mass@7.3-65 r-lifecycle@1.0.4 r-irlba@2.3.5.1 r-gparotation@2025.3-1 r-glmnet@4.1-10 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-geigen@2.3 r-future-apply@1.20.0 r-future@1.68.0 r-dplyr@1.1.4 r-crayon@1.5.3 r-corpcor@1.6.10 r-cli@3.6.5 r-chk@0.10.0 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://bbuchsbaum.github.io/multivarious/
Licenses: Expat
Build system: r
Synopsis: Extensible Data Structures for Multivariate Analysis
Description:

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.

r-mcwr 1.0.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mcwr
Licenses: Expat
Build system: r
Synopsis: Markov Chains with Rewards
Description:

In the context of multistate models, which are popular in sociology, demography, and epidemiology, Markov chain with rewards calculations can help to refine transition timings and so obtain more accurate estimates. The package code accommodates up to nine transient states and irregular age (time) intervals. Traditional demographic life tables result as a special case. Formulas and methods involved are explained in detail in the accompanying article: Schneider / Myrskyla / van Raalte (2021): Flexible Transition Timing in Discrete-Time Multistate Life Tables Using Markov Chains with Rewards, MPIDR Working Paper WP-2021-002.

r-medzisc 0.0.4
Propagated dependencies: r-mass@7.3-65 r-glmnet@4.1-10 r-betareg@3.2-4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MedZIsc
Licenses: GPL 3
Build system: r
Synopsis: Statistical Framework for Co-Mediators of Zero-Inflated Single-Cell Data
Description:

This package provides a causal mediation framework for single-cell data that incorporates two key features ('MedZIsc', pronounced Magics): (1) zero-inflation using beta regression and (2) overdispersed expression counts using negative binomial regression. This approach also includes a screening step based on penalized and marginal models to handle high-dimensionality. Full methodological details are available in our recent preprint by Ahn S and Li Z (2025) <doi:10.48550/arXiv.2505.22986>.

r-matchingr 2.0.0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/jtilly/matchingR/
Licenses: GPL 2+
Build system: r
Synopsis: Matching Algorithms in R and C++
Description:

Computes matching algorithms quickly using Rcpp. Implements the Gale-Shapley Algorithm to compute the stable matching for two-sided markets, such as the stable marriage problem and the college-admissions problem. Implements Irving's Algorithm for the stable roommate problem. Implements the top trading cycle algorithm for the indivisible goods trading problem.

r-mitey 0.2.0
Propagated dependencies: r-ggplot2@4.0.1 r-fdrtool@1.2.18
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/kylieainslie/mitey
Licenses: FSDG-compatible
Build system: r
Synopsis: Serial Interval and Case Reproduction Number Estimation
Description:

This package provides methods to estimate serial intervals and time-varying case reproduction numbers from infectious disease outbreak data. Serial intervals measure the time between symptom onset in linked transmission pairs, while case reproduction numbers quantify how many secondary cases each infected individual generates over time. These parameters are essential for understanding transmission dynamics, evaluating control measures, and informing public health responses. The package implements the maximum likelihood framework from Vink et al. (2014) <doi:10.1093/aje/kwu209> for serial interval estimation and the retrospective method from Wallinga & Lipsitch (2007) <doi:10.1098/rspb.2006.3754> for reproduction number estimation. Originally developed for scabies transmission analysis but applicable to other infectious diseases including influenza, COVID-19, and emerging pathogens. Designed for epidemiologists, public health researchers, and infectious disease modelers working with outbreak surveillance data.

r-mixtwice 2.0
Propagated dependencies: r-iso@0.0-21 r-fdrtool@1.2.18 r-ashr@2.2-63 r-alabama@2023.1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MixTwice
Licenses: GPL 2
Build system: r
Synopsis: Large-Scale Hypothesis Testing by Variance Mixing
Description:

This package implements large-scale hypothesis testing by variance mixing. It takes two statistics per testing unit -- an estimated effect and its associated squared standard error -- and fits a nonparametric, shape-constrained mixture separately on two latent parameters. It reports local false discovery rates (lfdr) and local false sign rates (lfsr). Manuscript describing algorithm of MixTwice: Zheng et al(2021) <doi: 10.1093/bioinformatics/btab162>.

r-micromap 1.9.12
Propagated dependencies: r-sp@2.2-0 r-sf@1.0-23 r-rcolorbrewer@1.1-3 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: <https://github.com/fawda123/micromap>
Licenses: GPL 2+
Build system: r
Synopsis: Linked Micromap Plots
Description:

This group of functions simplifies the creation of linked micromap plots. Please see <https://www.jstatsoft.org/v63/i02/> for additional details.

r-maptpx 1.9-7
Propagated dependencies: r-slam@0.1-55
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: http://taddylab.com
Licenses: GPL 3
Build system: r
Synopsis: MAP Estimation of Topic Models
Description:

Maximum a posteriori (MAP) estimation for topic models (i.e., Latent Dirichlet Allocation) in text analysis, as described in Taddy (2012) On estimation and selection for topic models'. Previous versions of this code were included as part of the textir package. If you want to take advantage of openmp parallelization, uncomment the relevant flags in src/MAKEVARS before compiling.

r-mexicolors 0.2.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mexicolors
Licenses: GPL 2+
Build system: r
Synopsis: Mexican Politics-Inspired Color Palette Generator
Description:

This package provides a color palette generator inspired by Mexican politics, with colors ranging from red on the left to gray in the middle and green on the right. Palette options range from only a few colors to several colors, but with discrete and continuous options to offer greatest flexibility to the user. This package allows for a range of applications, from mapping brief discrete scales (e.g., four colors for Morena, PRI, and PAN) to continuous interpolated arrays including dozens of shades graded from red to green.

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