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

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-mvt 0.3-81
Propagated dependencies: r-fastmatrix@0.6-6
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: http://mvt.mat.utfsm.cl/
Licenses: GPL 3
Build system: r
Synopsis: Estimation and Testing for the Multivariate t-Distribution
Description:

Routines to perform estimation and inference under the multivariate t-distribution <doi:10.1007/s10182-022-00468-2>. Currently, the following methodologies are implemented: multivariate mean and covariance estimation, hypothesis testing about equicorrelation and homogeneity of variances, the Wilson-Hilferty transformation, QQ-plots with envelopes and random variate generation.

r-mapmixture 1.2.0
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-sf@1.0-23 r-rnaturalearthdata@1.0.0 r-rlang@1.1.6 r-purrr@1.2.0 r-ggspatial@1.1.10 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/Tom-Jenkins/mapmixture
Licenses: GPL 3+
Build system: r
Synopsis: Spatial Visualisation of Admixture on a Projected Map
Description:

Visualise admixture as pie charts on a projected map, admixture as traditional structure barplots or facet barplots, and scatter plots from genotype principal components analysis. A shiny app allows users to create admixture maps interactively. Jenkins TL (2024) <doi:10.1111/1755-0998.13943>.

r-mapsrinteractive 2.0.1
Propagated dependencies: r-terra@1.8-86 r-gstat@2.1-4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://CRAN.R-project.org/package=mapsRinteractive
Licenses: Expat
Build system: r
Synopsis: Local Adaptation and Evaluation of Raster Maps
Description:

Local adaptation and evaluation of maps of continuous attributes in raster format by use of point location data.

r-mcclust 1.0.1
Propagated dependencies: r-lpsolve@5.6.23
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mcclust
Licenses: GPL 2+
Build system: r
Synopsis: Process an MCMC Sample of Clusterings
Description:

This package implements methods for processing a sample of (hard) clusterings, e.g. the MCMC output of a Bayesian clustering model. Among them are methods that find a single best clustering to represent the sample, which are based on the posterior similarity matrix or a relabelling algorithm.

r-misssbm 1.0.5
Propagated dependencies: r-sbm@0.4.7 r-rspectra@0.16-2 r-rlang@1.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-r6@2.6.1 r-nloptr@2.2.1 r-matrix@1.7-4 r-magrittr@2.0.4 r-igraph@2.2.1 r-ggplot2@4.0.1 r-future-apply@1.20.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://grosssbm.github.io/missSBM/
Licenses: GPL 3
Build system: r
Synopsis: Handling Missing Data in Stochastic Block Models
Description:

When a network is partially observed (here, NAs in the adjacency matrix rather than 1 or 0 due to missing information between node pairs), it is possible to account for the underlying process that generates those NAs. missSBM', presented in Barbillon, Chiquet and Tabouy (2022) <doi:10.18637/jss.v101.i12>, adjusts the popular stochastic block model from network data sampled under various missing data conditions, as described in Tabouy, Barbillon and Chiquet (2019) <doi:10.1080/01621459.2018.1562934>.

r-mrstdcrt 0.1.1
Propagated dependencies: r-rlang@1.1.6 r-nlme@3.1-168 r-magrittr@2.0.4 r-lme4@1.1-37 r-geepack@1.3.13 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/deckardt98/MRStdCRT
Licenses: GPL 3
Build system: r
Synopsis: Model-Robust Standardization in Cluster-Randomized Trials
Description:

This package implements model-robust standardization for cluster-randomized trials (CRTs). Provides functions that standardize user-specified regression models to estimate marginal treatment effects. The targets include the cluster-average and individual-average treatment effects, with utilities for variance estimation and example simulation datasets. Methods are described in Li, Tong, Fang, Cheng, Kahan, and Wang (2025) <doi:10.1002/sim.70270>.

r-mbvs 1.92
Propagated dependencies: r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mBvs
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Variable Selection Methods for Multivariate Data
Description:

Bayesian variable selection methods for data with multivariate responses and multiple covariates. The package contains implementations of multivariate Bayesian variable selection methods for continuous data (Lee et al., Biometrics, 2017 <doi:10.1111/biom.12557>) and zero-inflated count data (Lee et al., Biostatistics, 2020 <doi:10.1093/biostatistics/kxy067>).

r-mark 0.8.3
Propagated dependencies: r-rlang@1.1.6 r-magrittr@2.0.4 r-fuj@0.2.2 r-fs@1.6.6 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://CRAN.R-project.org/package=mark
Licenses: Expat
Build system: r
Synopsis: Miscellaneous, Analytic R Kernels
Description:

Miscellaneous functions and wrappers for development in other packages created, maintained by Jordan Mark Barbone.

r-minecitrus 1.0.0
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mineCitrus
Licenses: GPL 2
Build system: r
Synopsis: Extract and Analyze Median Molecule Intensity from 'citrus' Output
Description:

Citrus is a computational technique developed for the analysis of high dimensional cytometry data sets. This package extracts, statistically analyzes, and visualizes marker expression from citrus data. This code was used to generate data for Figures 3 and 4 in the forthcoming manuscript: Throm et al. â Identification of Enhanced Interferon-Gamma Signaling in Polyarticular Juvenile Idiopathic Arthritis with Mass Cytometryâ , JCI-Insight. For more information on Citrus, please see: Bruggner et al. (2014) <doi:10.1073/pnas.1408792111>. To download the citrus package, please see <https://github.com/nolanlab/citrus>.

r-mascarade 0.3.2
Propagated dependencies: r-vctrs@0.6.5 r-systemfonts@1.3.1 r-spatstat-geom@3.6-1 r-spatstat-explore@3.6-0 r-rlang@1.1.6 r-polyclip@1.10-7 r-lifecycle@1.0.4 r-ggplot2@4.0.1 r-ggforce@0.5.0 r-data-table@1.17.8 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://alserglab.github.io/mascarade/
Licenses: Expat
Build system: r
Synopsis: Generating Cluster Masks for Single-Cell Dimensional Reduction Plots
Description:

This package implements a procedure to automatically generate 2D masks for clusters on dimensional reduction plots from methods like t-SNE (t-distributed stochastic neighbor embedding) or UMAP (uniform manifold approximation and projection), with a focus on single-cell RNA-sequencing data.

r-mrbayes 0.5.2
Propagated dependencies: r-stanheaders@2.32.10 r-rstantools@2.5.0 r-rstan@2.32.7 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-desctools@0.99.60 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/okezie94/mrbayes
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Summary Data Models for Mendelian Randomization Studies
Description:

Bayesian estimation of inverse variance weighted (IVW), Burgess et al. (2013) <doi:10.1002/gepi.21758>, and MR-Egger, Bowden et al. (2015) <doi:10.1093/ije/dyv080>, summary data models for Mendelian randomization analyses.

r-mlgdata 0.1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MLGdata
Licenses: GPL 2+
Build system: r
Synopsis: Datasets for Use with Salvan, Sartori and Pace (2020)
Description:

This package contains the datasets for use with the book Salvan, Sartori and Pace (2020, ISBN:978-88-470-4002-1) "Modelli Lineari Generalizzati".

r-modifiedmk 1.6
Propagated dependencies: 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=modifiedmk
Licenses: AGPL 3
Build system: r
Synopsis: Modified Versions of Mann Kendall and Spearman's Rho Trend Tests
Description:

Power of non-parametric Mann-Kendall test and Spearmanâ s Rho test is highly influenced by serially correlated data. To address this issue, trend tests may be applied on the modified versions of the time series data by Block Bootstrapping (BBS), Prewhitening (PW) , Trend Free Prewhitening (TFPW), Bias Corrected Prewhitening and Variance Correction Approach by calculating effective sample size. Mann, H. B. (1945).<doi:10.1017/CBO9781107415324.004>. Kendall, M. (1975). Multivariate analysis. Charles Griffin&Company Ltd,. sen, P. K. (1968).<doi:10.2307/2285891>. à nöz, B., & Bayazit, M. (2012) <doi:10.1002/hyp.8438>. Hamed, K. H. (2009).<doi:10.1016/j.jhydrol.2009.01.040>. Yue, S., & Wang, C. Y. (2002) <doi:10.1029/2001WR000861>. Yue, S., Pilon, P., Phinney, B., & Cavadias, G. (2002) <doi:10.1002/hyp.1095>. Hamed, K. H., & Ramachandra Rao, A. (1998) <doi:10.1016/S0022-1694(97)00125-X>. Yue, S., & Wang, C. Y. (2004) <doi:10.1023/B:WARM.0000043140.61082.60>.

r-mdmr 0.5.2
Propagated dependencies: r-lme4@1.1-37 r-compquadform@1.4.4 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/dmcartor/mdmr
Licenses: GPL 2+
Build system: r
Synopsis: Multivariate Distance Matrix Regression
Description:

Allows users to conduct multivariate distance matrix regression using analytic p-values and compute measures of effect size. For details on the method, see McArtor, Lubke, & Bergeman (2017) <doi:10.1007/s11336-016-9527-8>.

r-mlr3benchmark 0.1.7
Propagated dependencies: r-r6@2.6.1 r-mlr3misc@0.19.0 r-ggplot2@4.0.1 r-data-table@1.17.8 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://mlr3benchmark.mlr-org.com
Licenses: LGPL 3
Build system: r
Synopsis: Analysis and Visualisation of Benchmark Experiments
Description:

This package implements methods for post-hoc analysis and visualisation of benchmark experiments, for mlr3 and beyond.

r-meter 1.2
Propagated dependencies: r-nleqslv@3.3.5 r-distr@2.9.7
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/cmerow/meteR
Licenses: GPL 2
Build system: r
Synopsis: Fitting and Plotting Tools for the Maximum Entropy Theory of Ecology (METE)
Description:

Fit and plot macroecological patterns predicted by the Maximum Entropy Theory of Ecology (METE).

r-msprt 3.0
Propagated dependencies: r-nleqslv@3.3.5 r-iterators@1.0.14 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MSPRT
Licenses: GPL 2+
Build system: r
Synopsis: Modified Sequential Probability Ratio Test (MSPRT)
Description:

Given the maximum available sample size (N) for an experiment, and the target levels of Type I and II error probabilities, this package designs a modified SPRT (MSPRT). For any designed MSPRT the package can also obtain its operating characteristics and implement the test for a given sequentially observed data. The MSPRT is defined in a manner very similar to Wald's initial proposal. The proposed test has shown evidence of reducing the average sample size required to perform statistical hypothesis tests at specified levels of significance and power. Currently, the package implements one-sample proportion tests, one and two-sample z tests, and one and two-sample t tests. A brief user guidance for this package is provided below. One can also refer to the supplemental information for the same.

r-mgbt 1.0.7
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://doi.org/10.5066/P9CW9EF0
Licenses: CC0
Build system: r
Synopsis: Multiple Grubbs-Beck Low-Outlier Test
Description:

Compute the multiple Grubbs-Beck low-outlier test on positively distributed data and utilities for noninterpretive U.S. Geological Survey annual peak-streamflow data processing discussed in Cohn et al. (2013) <doi:10.1002/wrcr.20392> and England et al. (2017) <doi:10.3133/tm4B5>.

r-mglasso 0.1.2
Propagated dependencies: r-rstudioapi@0.17.1 r-reticulate@1.44.1 r-r-utils@2.13.0 r-matrix@1.7-4 r-gridextra@2.3 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-corpcor@1.6.10
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://desanou.github.io/mglasso/
Licenses: Expat
Build system: r
Synopsis: Multiscale Graphical Lasso
Description:

Inference of Multiscale graphical models with neighborhood selection approach. The method is based on solving a convex optimization problem combining a Lasso and fused-group Lasso penalties. This allows to infer simultaneously a conditional independence graph and a clustering partition. The optimization is based on the Continuation with Nesterov smoothing in a Shrinkage-Thresholding Algorithm solver (Hadj-Selem et al. 2018) <doi:10.1109/TMI.2018.2829802> implemented in python.

r-mispu 1.0
Propagated dependencies: r-vegan@2.7-2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-cluster@2.1.8.1 r-aspu@1.50 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MiSPU
Licenses: GPL 2
Build system: r
Synopsis: Microbiome Based Sum of Powered Score (MiSPU) Tests
Description:

There is an increasing interest in investigating how the compositions of microbial communities are associated with human health and disease. In this package, we present a novel global testing method called aMiSPU, that is highly adaptive and thus high powered across various scenarios, alleviating the issue with the choice of a phylogenetic distance. Our simulations and real data analysis demonstrated that aMiSPU test was often more powerful than several competing methods while correctly controlling type I error rates.

r-mets 1.3.9
Propagated dependencies: r-timereg@2.0.7 r-survival@3.8-3 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-numderiv@2016.8-1.1 r-mvtnorm@1.3-3 r-lava@1.8.2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://kkholst.github.io/mets/
Licenses: ASL 2.0
Build system: r
Synopsis: Analysis of Multivariate Event Times
Description:

Implementation of various statistical models for multivariate event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>. Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray, Ghosh-Lin, Binomial regression) with fast computation of influence functions.

r-murty 0.3.1
Propagated dependencies: r-lpsolve@5.6.23 r-clue@0.3-66
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/arg0naut91/muRty
Licenses: Expat
Build system: r
Synopsis: Murty's Algorithm for k-Best Assignments
Description:

Calculates k-best solutions and costs for an assignment problem following the method outlined in Murty (1968) <doi:10.1287/opre.16.3.682>.

r-mlt-docreg 1.1-12
Propagated dependencies: r-truncreg@0.2-5 r-survival@3.8-3 r-numderiv@2016.8-1.1 r-multcomp@1.4-29 r-mlt@1.7-4 r-lattice@0.22-7 r-flexsurv@2.3.2 r-eha@2.11.5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: http://ctm.R-forge.R-project.org
Licenses: GPL 2
Build system: r
Synopsis: Most Likely Transformations: Documentation and Regression Tests
Description:

Additional documentation, a package vignette and regression tests for package mlt.

r-mediacloudr 0.1.0
Propagated dependencies: r-xml2@1.5.0 r-rvest@1.0.5 r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mediacloudr
Licenses: Expat
Build system: r
Synopsis: Wrapper for the 'mediacloud.org' API
Description:

API wrapper to gather news stories, media information and tags from the mediacloud.org API, based on a multilevel query <https://mediacloud.org/>. A personal API key is required.

Page: 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628629630631632633634635636637638639640641642643644645646647648649650651652653654655656657658659660661662663664665666667668669670671672673674675676677678679680681682683684685686687688689690691692693694695696697698699700701702703704705706707708709710711712713714715716717718719720721722723724725726727728729730731732733734735736737738739740741742743744745746747748749750751752753754755756757758759760761762763764765766767768769770771772773774775776777778779780781782783784785786787788789790791792793794795796797798799800801802803804805806807808809810811812813814815816817818819820821822823824825826827828829830831832833834835836837838839840841842843844845846847848849850851852853854855856857858859860861862863864865866867868869870871872873874875876877878879880881882883884885886887888889890891892893894895
Total results: 21457