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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-mvtweedie 1.2.0
Propagated dependencies: r-tibble@3.3.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://james-thorson-noaa.github.io/mvtweedie/
Licenses: GPL 3
Build system: r
Synopsis: Estimate Diet Proportions Using Multivariate Tweedie Model
Description:

Defines predict function that transforms output from a Tweedie Generalized Linear Mixed Model (using glmmTMB'), Generalized Additive Model (using mgcv'), or spatio-temporal Generalized Linear Mixed Model (using package tinyVAST'), and returns predicted proportions (and standard errors) across a grouping variable from an equivalent multivariate-logit Tweedie model. These predicted proportions can then be used for standard plotting and diagnostics. See Thorson et al. 2022 <doi:10.1002/ecy.3637>.

r-mf-beta4 1.1.2
Propagated dependencies: r-tidyverse@2.0.0 r-tidyr@1.3.1 r-reshape2@1.4.5 r-purrr@1.2.0 r-patchwork@1.3.2 r-lmertest@3.1-3 r-lme4@1.1-37 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-devtools@2.4.6 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/AnneChao/MF.beta4
Licenses: GPL 3+
Build system: r
Synopsis: Measuring Ecosystem Multi-Functionality and Its Decomposition
Description:

Provide simple functions to (i) compute a class of multi-functionality measures for a single ecosystem for given function weights, (ii) decompose gamma multi-functionality for pairs of ecosystems and K ecosystems (K can be greater than 2) into a within-ecosystem component (alpha multi-functionality) and an among-ecosystem component (beta multi-functionality). In each case, the correlation between functions can be corrected for. Based on biodiversity and ecosystem function data, this software also facilitates graphics for assessing biodiversity-ecosystem functioning relationships across scales.

r-markdowninput 0.1.2
Propagated dependencies: r-shinyace@0.4.4 r-shiny@1.11.1 r-markdown@2.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/juliendiot42/markdownInput
Licenses: GPL 3
Build system: r
Synopsis: Shiny Module for a Markdown Input with Result Preview
Description:

An R-Shiny module containing a "markdownInput". This input allows the user to write some markdown code and to preview the result. This input has been inspired by the "comment" window of <https://github.com/>.

r-mstats 3.4.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://myominnoo.github.io/
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Epidemiological Data Analysis
Description:

This is a tool for epidemiologist, medical data analyst, medical or public health professionals. It contains three domains of functions: 1) data management, 2) statistical analysis and 3) calculating epidemiological measures.

r-mllmcelltype 2.0.0
Propagated dependencies: r-r6@2.6.1 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cafferyang.com/mLLMCelltype/
Licenses: Expat
Build system: r
Synopsis: Cell Type Annotation Using Large Language Models
Description:

Automated cell type annotation for single-cell RNA sequencing data using consensus predictions from multiple large language models. Integrates with Seurat objects and provides uncertainty quantification for annotations. Supports various LLM providers including OpenAI, Anthropic, and Google. For details see Yang et al. (2025) <doi:10.1101/2025.04.10.647852>.

r-mexhaz 2.6
Propagated dependencies: r-survival@3.8-3 r-statmod@1.5.1 r-numderiv@2016.8-1.1 r-mass@7.3-65 r-lamw@2.2.5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mexhaz
Licenses: GPL 2+
Build system: r
Synopsis: Mixed Effect Excess Hazard Models
Description:

Fit flexible (excess) hazard regression models with the possibility of including non-proportional effects of covariables and of adding a random effect at the cluster level (corresponding to a shared frailty). A detailed description of the package functionalities is provided in Charvat and Belot (2021) <doi: 10.18637/jss.v098.i14>.

r-mrfcov 1.0.39
Propagated dependencies: r-sfsmisc@1.1-23 r-reshape2@1.4.5 r-purrr@1.2.0 r-plyr@1.8.9 r-pbapply@1.7-4 r-mgcv@1.9-4 r-matrix@1.7-4 r-mass@7.3-65 r-magrittr@2.0.4 r-igraph@2.2.1 r-gridextra@2.3 r-glmnet@4.1-10 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/nicholasjclark/MRFcov
Licenses: GPL 3
Build system: r
Synopsis: Markov Random Fields with Additional Covariates
Description:

Approximate node interaction parameters of Markov Random Fields graphical networks. Models can incorporate additional covariates, allowing users to estimate how interactions between nodes in the graph are predicted to change across covariate gradients. The general methods implemented in this package are described in Clark et al. (2018) <doi:10.1002/ecy.2221>.

r-mvtsplot 1.0-5
Propagated dependencies: r-rcolorbrewer@1.1-3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/rdpeng/mvtsplot
Licenses: GPL 2+
Build system: r
Synopsis: Multivariate Time Series Plot
Description:

This package provides a function for plotting multivariate time series data.

r-mbir 1.3.5
Propagated dependencies: r-psych@2.5.6 r-effsize@0.8.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: http://mbir-project.us/
Licenses: GPL 2
Build system: r
Synopsis: Magnitude-Based Inferences
Description:

Allows practitioners and researchers a wholesale approach for deriving magnitude-based inferences from raw data. A major goal of mbir is to programmatically detect appropriate statistical tests to run in lieu of relying on practitioners to determine correct stepwise procedures independently.

r-multinma 0.8.1
Propagated dependencies: r-truncdist@1.0-2 r-tidyr@1.3.1 r-tibble@3.3.0 r-survival@3.8-3 r-stringr@1.6.0 r-stanheaders@2.32.10 r-rstantools@2.5.0 r-rstan@2.32.7 r-rlang@1.1.6 r-rdpack@2.6.4 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-randtoolbox@2.0.5 r-purrr@1.2.0 r-matrix@1.7-4 r-igraph@2.2.1 r-glue@1.8.0 r-ggraph@2.2.2 r-ggplot2@4.0.1 r-ggdist@3.3.3 r-forcats@1.0.1 r-dplyr@1.1.4 r-copula@1.1-6 r-bh@1.87.0-1 r-bayesplot@1.14.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://dmphillippo.github.io/multinma/
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Network Meta-Analysis of Individual and Aggregate Data
Description:

Network meta-analysis and network meta-regression models for aggregate data, individual patient data, and mixtures of both individual and aggregate data using multilevel network meta-regression as described by Phillippo et al. (2020) <doi:10.1111/rssa.12579>. Models are estimated in a Bayesian framework using Stan'.

r-mpr 1.0.6
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mpr
Licenses: GPL 3
Build system: r
Synopsis: Multi-Parameter Regression (MPR)
Description:

Fitting Multi-Parameter Regression (MPR) models to right-censored survival data. These are flexible parametric regression models which extend standard models, for example, proportional hazards. See Burke & MacKenzie (2016) <doi:10.1111/biom.12625> and Burke et al (2020) <doi:10.1111/rssc.12398>.

r-metautility 2.1.2
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-metafor@4.8-0 r-metadat@1.4-0 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=MetaUtility
Licenses: GPL 2
Build system: r
Synopsis: Utility Functions for Conducting and Interpreting Meta-Analyses
Description:

This package contains functions to estimate the proportion of effects stronger than a threshold of scientific importance (function prop_stronger), to nonparametrically characterize the distribution of effects in a meta-analysis (calib_ests, pct_pval), to make effect size conversions (r_to_d, r_to_z, z_to_r, d_to_logRR), to compute and format inference in a meta-analysis (format_CI, format_stat, tau_CI), to scrape results from existing meta-analyses for re-analysis (scrape_meta, parse_CI_string, ci_to_var).

r-mmdvariance 0.1.0
Propagated dependencies: r-mass@7.3-65 r-lawstat@3.6 r-biobase@2.70.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MMDvariance
Licenses: GPL 2+
Build system: r
Synopsis: Detecting Differentially Variable Genes Using the Mixture of Marginal Distributions
Description:

Gene selection based on variance using the marginal distributions of gene profiles that characterized by a mixture of three-component multivariate distributions. Please see the reference: Li X, Fu Y, Wang X, DeMeo DL, Tantisira K, Weiss ST, Qiu W. (2018) <doi:10.1155/2018/6591634>.

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-mave 1.3.12
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mda@0.5-5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MAVE
Licenses: GPL 2+
Build system: r
Synopsis: Methods for Dimension Reduction
Description:

This package provides functions for dimension reduction, using MAVE (Minimum Average Variance Estimation), OPG (Outer Product of Gradient) and KSIR (sliced inverse regression of kernel version). Methods for selecting the best dimension are also included. Xia (2002) <doi:10.1111/1467-9868.03411>; Xia (2007) <doi:10.1214/009053607000000352>; Wang (2008) <doi:10.1198/016214508000000418>.

r-multiapply 2.1.5
Propagated dependencies: r-plyr@1.8.9 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://earth.bsc.es/gitlab/ces/multiApply
Licenses: GPL 3
Build system: r
Synopsis: Apply Functions to Multiple Multidimensional Arrays or Vectors
Description:

The base apply function and its variants, as well as the related functions in the plyr package, typically apply user-defined functions to a single argument (or a list of vectorized arguments in the case of mapply). The multiApply package extends this paradigm with its only function, Apply, which efficiently applies functions taking one or a list of multiple unidimensional or multidimensional arrays (or combinations thereof) as input. The input arrays can have different numbers of dimensions as well as different dimension lengths, and the applied function can return one or a list of unidimensional or multidimensional arrays as output. This saves development time by preventing the R user from writing often error-prone and memory-inefficient loops dealing with multiple complex arrays. Also, a remarkable feature of Apply is the transparent use of multi-core through its parameter ncores'. In contrast to the base apply function, this package suggests the use of target dimensions as opposite to the margins for specifying the dimensions relevant to the function to be applied.

r-medfateland 2.8.1
Propagated dependencies: r-tidyterra@1.0.0 r-tidyr@1.3.1 r-tibble@3.3.0 r-terra@1.8-86 r-stars@0.6-8 r-shiny@1.11.1 r-sf@1.0-23 r-rlang@1.1.6 r-rcpp@1.1.0 r-meteoland@2.2.5 r-medfate@4.8.4 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://emf-creaf.github.io/medfateland/
Licenses: GPL 2+
Build system: r
Synopsis: Mediterranean Landscape Simulation
Description:

Simulate forest hydrology, forest function and dynamics over landscapes [De Caceres et al. (2015) <doi:10.1016/j.agrformet.2015.06.012>]. Parallelization is allowed in several simulation functions and simulations may be conducted including spatial processes such as lateral water transfer and seed dispersal.

r-mfp 1.5.5.1
Propagated dependencies: r-survival@3.8-3 r-numderiv@2016.8-1.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mfp
Licenses: GPL 2+
Build system: r
Synopsis: Multivariable Fractional Polynomials
Description:

Multivariable Fractional Polynomial algorithm for model-building. Fractional polynomials are used to represent curvature in regression models. A key reference is Royston and Altman, 1994.

r-missplot 0.1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=Missplot
Licenses: GPL 3
Build system: r
Synopsis: Missing Plot Technique in Design of Experiment
Description:

This package provides a system for testing differential effects among treatments in case of Randomised Block Design and Latin Square Design when there is one missing observation. Methods for this process are as described in A.M.Gun,M.K.Gupta and B.Dasgupta(2019,ISBN:81-87567-81-3).

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-mmsample 0.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mmsample
Licenses: GPL 3
Build system: r
Synopsis: Multivariate Matched Sampling
Description:

Subset a control group to match an intervention group on a set of features using multivariate matching and propensity score calipers. Based on methods in Rosenbaum and Rubin (1985).

r-mcbiopi 1.1.7
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mcbiopi
Licenses: LGPL 2.0+
Build system: r
Synopsis: Matrix Computation Based Identification of Prime Implicants
Description:

Computes the prime implicants or a minimal disjunctive normal form for a logic expression presented by a truth table or a logic tree. Has been particularly developed for logic expressions resulting from a logic regression analysis, i.e. logic expressions typically consisting of up to 16 literals, where the prime implicants are typically composed of a maximum of 4 or 5 literals.

r-movmf 0.2-9
Propagated dependencies: r-slam@0.1-55 r-skmeans@0.2-19 r-clue@0.3-66
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=movMF
Licenses: GPL 2
Build system: r
Synopsis: Mixtures of von Mises-Fisher Distributions
Description:

Fit and simulate mixtures of von Mises-Fisher distributions.

r-mscsweblm4r 0.1.2
Propagated dependencies: r-pander@0.6.6 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://github.com/philferriere/mscsweblm4r
Licenses: Expat
Build system: r
Synopsis: R Client for the Microsoft Cognitive Services Web Language Model REST API
Description:

R Client for the Microsoft Cognitive Services Web Language Model REST API, including Break Into Words, Calculate Conditional Probability, Calculate Joint Probability, Generate Next Words, and List Available Models. A valid account MUST be registered at the Microsoft Cognitive Services website <https://www.microsoft.com/cognitive-services/> in order to obtain a (free) API key. Without an API key, this package will not work properly.

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