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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-mvpbt 1.2-1
Propagated dependencies: r-mvmeta@1.0.3 r-metafor@4.8-0 r-mass@7.3-65 r-mada@0.5.12
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MVPBT
Licenses: GPL 3
Build system: r
Synopsis: Publication Bias Tests for Meta-Analysis of Diagnostic Accuracy Test
Description:

Generalized Egger tests for detecting publication bias in meta-analysis for diagnostic accuracy test (Noma (2020) <doi:10.1111/biom.13343>, Noma (2022) <doi:10.48550/arXiv.2209.07270>). These publication bias tests are generally more powerful compared with the conventional univariate publication bias tests and can incorporate correlation information between the outcome variables.

r-mixar 0.22.9
Propagated dependencies: r-timedate@4051.111 r-rdpack@2.6.4 r-permute@0.9-8 r-mvtnorm@1.3-3 r-mcmcpack@1.7-1 r-gbutils@0.5.1 r-fgarch@4052.93 r-e1071@1.7-16 r-combinat@0.0-8 r-bb@2019.10-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://geobosh.github.io/mixAR/
Licenses: GPL 2+
Build system: r
Synopsis: Mixture Autoregressive Models
Description:

Model time series using mixture autoregressive (MAR) models. Implemented are frequentist (EM) and Bayesian methods for estimation, prediction and model evaluation. See Wong and Li (2002) <doi:10.1111/1467-9868.00222>, Boshnakov (2009) <doi:10.1016/j.spl.2009.04.009>), and the extensive references in the documentation.

r-mnet 0.1.4
Propagated dependencies: r-mlvar@0.5.5 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=mnet
Licenses: GPL 2
Build system: r
Synopsis: Modeling Group Differences and Moderation Effects in Statistical Network Models
Description:

This package provides a toolbox for modeling manifest and latent group differences and moderation effects in various statistical network models.

r-mmd 1.0.0
Propagated dependencies: r-plyr@1.8.9 r-e1071@1.7-16 r-bigmemory@4.6.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MMD
Licenses: GPL 3
Build system: r
Synopsis: Minimal Multilocus Distance (MMD) for Source Attribution and Loci Selection
Description:

The aim of the package is two-fold: (i) To implement the MMD method for attribution of individuals to sources using the Hamming distance between multilocus genotypes. (ii) To select informative genetic markers based on information theory concepts (entropy, mutual information and redundancy). The package implements the functions introduced by Perez-Reche, F. J., Rotariu, O., Lopes, B. S., Forbes, K. J. and Strachan, N. J. C. Mining whole genome sequence data to efficiently attribute individuals to source populations. Scientific Reports 10, 12124 (2020) <doi:10.1038/s41598-020-68740-6>. See more details and examples in the README file.

r-metawho 0.2.0
Propagated dependencies: r-rlang@1.1.6 r-purrr@1.2.0 r-metafor@4.8-0 r-magrittr@2.0.4 r-forestmodel@0.6.2 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/ShixiangWang/metawho
Licenses: GPL 3
Build system: r
Synopsis: Meta-Analytical Implementation to Identify Who Benefits Most from Treatments
Description:

This package provides a tool for implementing so called deft approach (see Fisher, David J., et al. (2017) <DOI:10.1136/bmj.j573>) and model visualization.

r-mvnormtest 0.1-9-3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mvnormtest
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Normality Test for Multivariate Variables
Description:

Generalization of Shapiro-Wilk test for multivariate variables.

r-metama 3.1.3
Propagated dependencies: r-smvar@1.3.4 r-limma@3.66.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=metaMA
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Meta-Analysis for MicroArrays
Description:

Combination of either p-values or modified effect sizes from different studies to find differentially expressed genes.

r-movecost 2.1
Propagated dependencies: r-terra@1.8-86 r-sp@2.2-0 r-sf@1.0-23 r-raster@3.6-32 r-matrix@1.7-4 r-gdistance@1.6.5 r-elevatr@0.99.1 r-chron@2.3-62
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=movecost
Licenses: GPL 2+
Build system: r
Synopsis: Calculation of Slope-Dependant Accumulated Cost Surface, Least-Cost Paths, Least-Cost Corridors, Least-Cost Networks Related to Human Movement Across the Landscape
Description:

This package provides the facility to calculate non-isotropic accumulated cost surface, least-cost paths, least-cost corridors, least-cost networks using a number of human-movement-related cost functions that can be selected by the user. It just requires a Digital Terrain Model, a start location and (optionally) destination locations. See Alberti (2019) <doi:10.1016/j.softx.2019.100331>.

r-metasens 1.5-3
Propagated dependencies: r-meta@8.2-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/guido-s/metasens
Licenses: GPL 2+
Build system: r
Synopsis: Statistical Methods for Sensitivity Analysis in Meta-Analysis
Description:

The following methods are implemented to evaluate how sensitive the results of a meta-analysis are to potential bias in meta-analysis and to support Schwarzer et al. (2015) <DOI:10.1007/978-3-319-21416-0>, Chapter 5 Small-Study Effects in Meta-Analysis': - Copas selection model described in Copas & Shi (2001) <DOI:10.1177/096228020101000402>; - limit meta-analysis by Rücker et al. (2011) <DOI:10.1093/biostatistics/kxq046>; - upper bound for outcome reporting bias by Copas & Jackson (2004) <DOI:10.1111/j.0006-341X.2004.00161.x>; - imputation methods for missing binary data by Gamble & Hollis (2005) <DOI:10.1016/j.jclinepi.2004.09.013> and Higgins et al. (2008) <DOI:10.1177/1740774508091600>; - LFK index test and Doi plot by Furuya-Kanamori et al. (2018) <DOI:10.1097/XEB.0000000000000141>.

r-mthapower 0.1.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/aurora-mareviv/mthapower
Licenses: GPL 3
Build system: r
Synopsis: Sample Size and Power for Association Studies Involving Mitochondrial DNA Haplogroups
Description:

Calculate Sample Size and Power for Association Studies Involving Mitochondrial DNA Haplogroups. Based on formulae by Samuels et al. AJHG, 2006. 78(4):713-720. <DOI:10.1086/502682>.

r-mixvlmc 0.2.2
Propagated dependencies: r-withr@3.0.2 r-vgam@1.1-13 r-stringr@1.6.0 r-rlang@1.1.6 r-rcpp@1.1.0 r-proc@1.19.0.1 r-nnet@7.3-20 r-ggplot2@4.0.1 r-butcher@0.3.6 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/fabrice-rossi/mixvlmc
Licenses: GPL 3+
Build system: r
Synopsis: Variable Length Markov Chains with Covariates
Description:

Estimates Variable Length Markov Chains (VLMC) models and VLMC with covariates models from discrete sequences. Supports model selection via information criteria and simulation of new sequences from an estimated model. See Bühlmann, P. and Wyner, A. J. (1999) <doi:10.1214/aos/1018031204> for VLMC and Zanin Zambom, A., Kim, S. and Lopes Garcia, N. (2022) <doi:10.1111/jtsa.12615> for VLMC with covariates.

r-merror 3.0
Propagated dependencies: r-openmx@2.22.10
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=merror
Licenses: GPL 2+
Build system: r
Synopsis: Accuracy and Precision of Measurements
Description:

N>=3 methods are used to measure each of n items. The data are used to estimate simultaneously systematic error (bias) and random error (imprecision). Observed measurements for each method or device are assumed to be linear functions of the unknown true values and the errors are assumed normally distributed. Pairwise calibration curves and plots can be easily generated. Unlike the ncb.od function, the omx function builds a one-factor measurement error model using OpenMx and allows missing values, uses full information maximum likelihood to estimate parameters, and provides both likelihood-based and bootstrapped confidence intervals for all parameters, in addition to Wald-type intervals.

r-mssql 1.0.1
Propagated dependencies: r-rodbc@1.3-26.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/gfcm/MSSQL
Licenses: GPL 3
Build system: r
Synopsis: Tools to Work with Microsoft SQL Server Databases via 'RODBC'
Description:

This package provides tools that extend the functionality of the RODBC package to work with Microsoft SQL Server databases. Makes it easier to browse the database and examine individual tables and views.

r-mscombine 1.4
Propagated dependencies: r-plyr@1.8.9
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MScombine
Licenses: GPL 2
Build system: r
Synopsis: Combine Data from Positive and Negative Ionization Mode Finding Common Entities
Description:

Find common entities detected in both positive and negative ionization mode, delete this entity in the less sensible mode and combine both matrices.

r-mixbox 1.2.3
Propagated dependencies: r-stabledist@0.7-2 r-gigrvg@0.8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mixbox
Licenses: GPL 2+
Build system: r
Synopsis: Observed Fisher Information Matrix for Finite Mixture Model
Description:

Developed for the following tasks. 1- simulating realizations from the canonical, restricted, and unrestricted finite mixture models. 2- Monte Carlo approximation for density function of the finite mixture models. 3- Monte Carlo approximation for the observed Fisher information matrix, asymptotic standard error, and the corresponding confidence intervals for parameters of the mixture models sing the method proposed by Basford et al. (1997) <https://espace.library.uq.edu.au/view/UQ:57525>.

r-msoutcomes 0.2.1
Propagated dependencies: 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=MSoutcomes
Licenses: Expat
Build system: r
Synopsis: CORe Multiple Sclerosis Outcomes Toolkit
Description:

Enable operationalized evaluation of disease outcomes in multiple sclerosis. â MSoutcomesâ requires longitudinally recorded clinical data structured in long format. The package is based on the research developed at Clinical Outcomes Research unit (CORe), University of Melbourne and Neuroimmunology Centre, Royal Melbourne Hospital. Kalincik et al. (2015) <doi:10.1093/brain/awv258>. Lorscheider et al. (2016) <doi:10.1093/brain/aww173>. Sharmin et al. (2022) <doi:10.1111/ene.15406>. Dzau et al. (2023) <doi:10.1136/jnnp-2023-331748>.

r-mini007 0.3.0
Propagated dependencies: r-uuid@1.2-1 r-rlang@1.1.6 r-r6@2.6.1 r-glue@1.8.0 r-ellmer@0.4.0 r-diagrammer@1.0.11 r-cli@3.6.5 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mini007
Licenses: Expat
Build system: r
Synopsis: Lightweight Framework for Orchestrating Multi-Agent Large Language Models
Description:

This package provides tools for creating agents with persistent state using R6 classes <https://cran.r-project.org/package=R6> and the ellmer package <https://cran.r-project.org/package=ellmer>. Tracks prompts, messages, and agent metadata for reproducible, multi-turn large language model sessions.

r-marlod 0.2.2
Propagated dependencies: r-survival@3.8-3 r-quantreg@6.1 r-mass@7.3-65 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=marlod
Licenses: GPL 3
Build system: r
Synopsis: Marginal Modeling for Exposure Data with Values Below the LOD
Description:

This package provides functions of marginal mean and quantile regression models are used to analyze environmental exposure and biomonitoring data with repeated measurements and non-detects (i.e., values below the limit of detection (LOD)), as well as longitudinal exposure data that include non-detects and time-dependent covariates. For more details see Chen IC, Bertke SJ, Curwin BD (2021) <doi:10.1038/s41370-021-00345-1>, Chen IC, Bertke SJ, Estill CF (2024) <doi:10.1038/s41370-024-00640-7>, Chen IC, Bertke SJ, Dahm MM (2024) <doi:10.1093/annweh/wxae068>, and Chen IC (2025) <doi:10.1038/s41370-025-00752-8>.

r-marsannhybrid 0.1.0
Propagated dependencies: r-neuralnet@1.44.2 r-earth@5.3.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MARSANNhybrid
Licenses: GPL 3
Build system: r
Synopsis: MARS Based ANN Hybrid Model
Description:

Multivariate Adaptive Regression Spline (MARS) based Artificial Neural Network (ANN) hybrid model is combined Machine learning hybrid approach which selects important variables using MARS and then fits ANN on the extracted important variables.

r-mddmaps 1.3.0
Propagated dependencies: r-terra@1.8-86 r-stringr@1.6.0 r-readr@2.1.6 r-progress@1.2.3 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: <https://github.com/alrobles/mddmaps>
Licenses: GPL 3+
Build system: r
Synopsis: Download World Mammal Maps
Description:

Lightweight maps of mammals of the world. These maps are a comprehensive collection of maps aligned with the Mammal Diversity Database taxonomy of the American Society of Mammalogists. They are generated at low resolution for easy access, consultation and manipulation in shapefile format. The package connects to a binary backup hosted in the Digital Ocean cloud service and allows individual or batch download of any mammal species in the mdd taxonomy by providing the scientific species name.

r-md2sample 1.1.1
Propagated dependencies: r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-microbenchmark@1.5.0 r-lsa@0.73.3 r-igraph@2.2.1 r-gtests@0.2 r-fnn@1.1.4.1 r-copula@1.1-6 r-ball@1.3.13 r-ade4@1.7-23
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MD2sample
Licenses: GPL 2+
Build system: r
Synopsis: Various Methods for the Two Sample Problem in D>1 Dimensions
Description:

The routine twosample_test() in this package runs the two-sample test using various test statistic for multivariate data. The user can also run several tests and then find a p value adjusted for simultaneous inference. The p values are found via permutation or via the parametric bootstrap. The routine twosample_power() allows the estimation of the power of the tests. The routine run.studies() allows a user to quickly study the power of a new method and how it compares to those included in the package. For details of the methods and references see the included vignettes.

r-medfate 4.8.4
Propagated dependencies: r-shiny@1.11.1 r-rcpp@1.1.0 r-meteoland@2.2.5 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://emf-creaf.github.io/medfate/
Licenses: GPL 2+ LGPL 3+
Build system: r
Synopsis: Mediterranean Forest Simulation
Description:

Simulate Mediterranean forest functioning and dynamics using cohort-based description of vegetation [De Caceres et al. (2015) <doi:10.1016/j.agrformet.2015.06.012>; De Caceres et al. (2021) <doi:10.1016/j.agrformet.2020.108233>].

r-msimst 1.1
Propagated dependencies: r-truncnorm@1.0-9 r-rdpack@2.6.4 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-mass@7.3-65 r-fields@17.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/rh8liuqy/MSIMST
Licenses: GPL 3+
Build system: r
Synopsis: Bayesian Monotonic Single-Index Regression Model with the Skew-T Likelihood
Description:

Incorporates a Bayesian monotonic single-index mixed-effect model with a multivariate skew-t likelihood, specifically designed to handle survey weights adjustments. Features include a simulation program and an associated Gibbs sampler for model estimation. The single-index function is constrained to be monotonic increasing, utilizing a customized Gaussian process prior for precise estimation. The model assumes random effects follow a canonical skew-t distribution, while residuals are represented by a multivariate Student-t distribution. Offers robust Bayesian adjustments to integrate survey weight information effectively.

r-metamorphr 0.2.0
Propagated dependencies: r-withr@3.0.2 r-vctrs@0.6.5 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringi@1.8.7 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-pcamethods@2.2.0 r-missforest@1.6.1 r-magrittr@2.0.4 r-impute@1.84.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-crayon@1.5.3 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/yasche/metamorphr
Licenses: Expat
Build system: r
Synopsis: Tidy and Streamlined Metabolomics Data Workflows
Description:

Facilitate tasks typically encountered during metabolomics data analysis including data import, filtering, missing value imputation (Stacklies et al. (2007) <doi:10.1093/bioinformatics/btm069>, Stekhoven et al. (2012) <doi:10.1093/bioinformatics/btr597>, Tibshirani et al. (2017) <doi:10.18129/B9.BIOC.IMPUTE>, Troyanskaya et al. (2001) <doi:10.1093/bioinformatics/17.6.520>), normalization (Bolstad et al. (2003) <doi:10.1093/bioinformatics/19.2.185>, Dieterle et al. (2006) <doi:10.1021/ac051632c>, Zhao et al. (2020) <doi:10.1038/s41598-020-72664-6>) transformation, centering and scaling (Van Den Berg et al. (2006) <doi:10.1186/1471-2164-7-142>) as well as statistical tests and plotting. metamorphr introduces a tidy (Wickham et al. (2019) <doi:10.21105/joss.01686>) format for metabolomics data and is designed to make it easier to build elaborate analysis workflows and to integrate them with tidyverse packages including dplyr and ggplot2'.

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