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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-mero 0.1.2
Propagated dependencies: r-progress@1.2.3 r-missforest@1.6.1 r-ggpubr@0.6.2 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=MERO
Licenses: GPL 3
Build system: r
Synopsis: Performing Monte Carlo Expectation Maximization Random Forest Imputation for Biological Data
Description:

Perform missing value imputation for biological data using the random forest algorithm, the imputation aim to keep the original mean and standard deviation consistent after imputation.

r-mkde 0.4
Propagated dependencies: r-terra@1.8-86 r-stars@0.6-8 r-sf@1.0-23 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=mkde
Licenses: GPL 3+
Build system: r
Synopsis: 2D and 3D Movement-Based Kernel Density Estimates (MKDEs)
Description:

This package provides functions to compute and visualize movement-based kernel density estimates (MKDEs) for animal utilization distributions in 2 or 3 spatial dimensions.

r-minorparties 1.0.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-stringi@1.8.7 r-spacyr@1.3.0 r-rlang@1.1.6 r-reticulate@1.44.1 r-quanteda-textmodels@0.9.10 r-quanteda@4.3.1 r-purrr@1.2.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://gerckentheodore.github.io/minorparties/
Licenses: GPL 3+
Build system: r
Synopsis: Quantitatively Analyze Minor Political Parties
Description:

This package provides tools for calculating I-Scores, a simple way to measure how successful minor political parties are at influencing the major parties in their environment. I-Scores are designed to be a more comprehensive measurement of minor party success than vote share and legislative seats won, the current standard measurements, which do not reflect the strategies that most minor parties employ. The procedure leverages the Manifesto Project's NLP model to identify the issue areas that sentences discuss, see Burst et al. (2024) <doi:10.25522/manifesto.manifestoberta.56topics.context.2024.1.1>, and the Wordfish algorithm to estimate the relative positions that platforms take on those issue areas, see Slapin and Proksch (2008) <doi:10.1111/j.1540-5907.2008.00338.x>.

r-multilevelmod 1.0.0
Propagated dependencies: r-withr@3.0.2 r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-parsnip@1.3.3 r-lme4@1.1-37 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/tidymodels/multilevelmod
Licenses: Expat
Build system: r
Synopsis: Model Wrappers for Multi-Level Models
Description:

Bindings for hierarchical regression models for use with the parsnip package. Models include longitudinal generalized linear models (Liang and Zeger, 1986) <doi:10.1093/biomet/73.1.13>, and mixed-effect models (Pinheiro and Bates) <doi:10.1007/978-1-4419-0318-1_1>.

r-mapper 2.4.0
Propagated dependencies: r-fastcluster@1.3.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/Uiowa-Applied-Topology/mappeR
Licenses: Expat
Build system: r
Synopsis: Construct Mapper Graphs for Topological and Exploratory Data Analysis
Description:

Topological data analysis (TDA) is a method of data analysis that uses techniques from topology to analyze high-dimensional data. Here we implement Mapper, an algorithm from this area developed by Singh, Mémoli and Carlsson (2007) which generalizes the concept of a Reeb graph <https://en.wikipedia.org/wiki/Reeb_graph>.

r-msaenet 3.1.2
Propagated dependencies: r-survival@3.8-3 r-ncvreg@3.16.0 r-mvtnorm@1.3-3 r-matrix@1.7-4 r-glmnet@4.1-10 r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://nanx.me/msaenet/
Licenses: GPL 3+
Build system: r
Synopsis: Multi-Step Adaptive Estimation Methods for Sparse Regressions
Description:

Multi-step adaptive elastic-net (MSAENet) algorithm for feature selection in high-dimensional regressions proposed in Xiao and Xu (2015) <DOI:10.1080/00949655.2015.1016944>, with support for multi-step adaptive MCP-net (MSAMNet) and multi-step adaptive SCAD-net (MSASNet) methods.

r-multimode 1.5
Propagated dependencies: r-rootsolve@1.8.2.4 r-ks@1.15.1 r-diptest@0.77-2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://doi.org/10.18637/jss.v097.i09
Licenses: GPL 3
Build system: r
Synopsis: Mode Testing and Exploring
Description:

Different examples and methods for testing (including different proposals described in Ameijeiras-Alonso et al., 2019 <DOI:10.1007/s11749-018-0611-5>) and exploring (including the mode tree, mode forest and SiZer) the number of modes using nonparametric techniques <DOI:10.18637/jss.v097.i09>.

r-madtests 0.1.1
Propagated dependencies: r-gld@2.6.8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MADtests
Licenses: Expat
Build system: r
Synopsis: Hypothesis Tests and Confidence Intervals for Median Absolute Deviations
Description:

Conducts one- and two-sample hypothesis tests for median absolute deviations (mads) for robust inference of dispersion. Comparisons between two samples uses the ratio of mads. Confidence intervals are also computed.

r-mtlr 0.2.1
Propagated dependencies: r-survival@3.8-3 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/haiderstats/MTLR
Licenses: GPL 2 FSDG-compatible
Build system: r
Synopsis: Survival Prediction with Multi-Task Logistic Regression
Description:

An implementation of Multi-Task Logistic Regression (MTLR) for R. This package is based on the method proposed by Yu et al. (2011) which utilized MTLR for generating individual survival curves by learning feature weights which vary across time. This model was further extended to account for left and interval censored data.

r-maxinttools 0.1.0
Propagated dependencies: r-reshape@0.8.10 r-pracma@2.4.6 r-mass@7.3-65 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=MaxIntTools
Licenses: GPL 3
Build system: r
Synopsis: Testing Maximal Interaction in Two-Mode Clustering via a Permutation Based Procedure
Description:

This package performs maximal interaction two-mode clustering, permutation tests, scree plots, and interaction visualizations for bicluster analysis. See Ahmed et al. (2025) <doi:10.17605/OSF.IO/AWGXB>, Ahmed et al. (2023) <doi:10.1007/s00357-023-09434-2>, Ahmed et al. (2021) <doi:10.1007/s11634-021-00441-y>.

r-muerelativerisk 0.1.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mueRelativeRisk
Licenses: GPL 3
Build system: r
Synopsis: Relative Risk Based on the Ratio of Median Unbiased Estimates
Description:

This package implements an estimator for relative risk based on the median unbiased estimator. The relative risk estimator is well defined and performs satisfactorily for a wide range of data configurations. The details of the method are available in Carter et al (2010) <doi:10.1111/j.1467-9876.2010.00711.x>.

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-magiclamp 0.1.0
Propagated dependencies: r-tibble@3.3.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/swarm-lab/magicLamp
Licenses: GPL 3
Build system: r
Synopsis: 'WeMo Switch' Smart Plug Utilities
Description:

Set of utility functions to interact with WeMo Switch', a smart plug that can be remotely controlled via wifi. The provided functions make it possible to turn one or more WeMo Switch plugs on and off in a scriptable fashion. More information about WeMo Switch can be found at <http://www.belkin.com/us/p/P-F7C027/>.

r-metrica 2.1.0
Propagated dependencies: r-tidyr@1.3.1 r-rsqlite@2.4.4 r-rlang@1.1.6 r-minerva@1.5.10 r-ggpp@0.5.9 r-ggplot2@4.0.1 r-energy@1.7-12 r-dplyr@1.1.4 r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://adriancorrendo.github.io/metrica/
Licenses: Expat
Build system: r
Synopsis: Prediction Performance Metrics
Description:

This package provides a compilation of more than 80 functions designed to quantitatively and visually evaluate prediction performance of regression (continuous variables) and classification (categorical variables) of point-forecast models (e.g. APSIM, DSSAT, DNDC, supervised Machine Learning). For regression, it includes functions to generate plots (scatter, tiles, density, & Bland-Altman plot), and to estimate error metrics (e.g. MBE, MAE, RMSE), error decomposition (e.g. lack of accuracy-precision), model efficiency (e.g. NSE, E1, KGE), indices of agreement (e.g. d, RAC), goodness of fit (e.g. r, R2), adjusted correlation coefficients (e.g. CCC, dcorr), symmetric regression coefficients (intercept, slope), and mean absolute scaled error (MASE) for time series predictions. For classification (binomial and multinomial), it offers functions to generate and plot confusion matrices, and to estimate performance metrics such as accuracy, precision, recall, specificity, F-score, Cohen's Kappa, G-mean, and many more. For more details visit the vignettes <https://adriancorrendo.github.io/metrica/>.

r-metabup 0.1.3
Propagated dependencies: r-partitions@1.10-9 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=metabup
Licenses: GPL 3+
Build system: r
Synopsis: Bayesian Meta-Analysis Using Basic Uncertain Pooling
Description:

This package contains functions that allow Bayesian meta-analysis (1) with binomial data, counts(y) and total counts (n) or, (2) with user-supplied point estimates and associated variances. Case (1) provides an analysis based on the logit transformation of the sample proportion. This methodology is also appropriate for combining data from sample surveys and related sources. The functions can calculate the corresponding similarity matrix. More details can be found in Cahoy and Sedransk (2023), Cahoy and Sedransk (2022) <doi:10.1007/s42519-018-0027-2>, Evans and Sedransk (2001) <doi:10.1093/biomet/88.3.643>, and Malec and Sedransk (1992) <doi:10.1093/biomet/79.3.593>.

r-mbnmatime 0.2.6
Dependencies: jags@4.3.1
Propagated dependencies: r-zoo@1.8-14 r-scales@1.4.0 r-rjags@4-17 r-reshape2@1.4.5 r-rdpack@2.6.4 r-r2jags@0.8-9 r-png@0.1-8 r-magrittr@2.0.4 r-lspline@1.0-0 r-knitr@1.50 r-igraph@2.2.1 r-gridextra@2.3 r-ggplot2@4.0.1 r-ggdist@3.3.3 r-dplyr@1.1.4 r-crayon@1.5.3 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://hugaped.github.io/MBNMAtime/
Licenses: GPL 3
Build system: r
Synopsis: Run Time-Course Model-Based Network Meta-Analysis (MBNMA) Models
Description:

Fits Bayesian time-course models for model-based network meta-analysis (MBNMA) that allows inclusion of multiple time-points from studies. Repeated measures over time are accounted for within studies by applying different time-course functions, following the method of Pedder et al. (2019) <doi:10.1002/jrsm.1351>. The method allows synthesis of studies with multiple follow-up measurements that can account for time-course for a single or multiple treatment comparisons. Several general time-course functions are provided; others may be added by the user. Various characteristics can be flexibly added to the models, such as correlation between time points and shared class effects. The consistency of direct and indirect evidence in the network can be assessed using unrelated mean effects models and/or by node-splitting.

r-metadose 1.0.1
Propagated dependencies: r-rms@8.1-0 r-rlang@1.1.6 r-metafor@4.8-0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/asmpro7/MetaDose/
Licenses: GPL 3+
Build system: r
Synopsis: Dose-Response Meta-Regression for Meta-Analysis
Description:

Conducting linear and nonlinear dose-response meta-regression using study-level summary data. It supports both continuous and binary outcomes and allows modeling of dose-effect relationships using linear trends or nonlinear restricted cubic splines. The package is designed to facilitate transparent, flexible, and reproducible dose-response meta-analyses, with built-in visualization of fitted dose-response curves.

r-modqr 0.1.3
Propagated dependencies: r-lpsolve@5.6.23 r-geometry@0.5.2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=modQR
Licenses: LGPL 2.0
Build system: r
Synopsis: Multiple-Output Directional Quantile Regression
Description:

This package contains basic tools for performing multiple-output quantile regression and computing regression quantile contours by means of directional regression quantiles. In the location case, one can thus obtain halfspace depth contours in two to six dimensions. Hallin, M., Paindaveine, D. and Å iman, M. (2010) Multivariate quantiles and multiple-output regression quantiles: from L1 optimization to halfspace depth. Annals of Statistics 38, 635-669 For more references about the method, see Help pages.

r-msigtools 1.0.7
Propagated dependencies: r-sets@1.0-25 r-quadprog@1.5-8 r-philentropy@0.10.0 r-clue@0.3-66
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/Rozen-Lab/mSigTools
Licenses: GPL 3
Build system: r
Synopsis: Mutational Signature Analysis Tools
Description:

Utility functions for mutational signature analysis as described in Alexandrov, L. B. (2020) <doi:10.1038/s41586-020-1943-3>. This package provides two groups of functions. One is for dealing with mutational signature "exposures" (i.e. the counts of mutations in a sample that are due to each mutational signature). The other group of functions is for matching or comparing sets of mutational signatures. mSigTools stands for mutational Signature analysis Tools.

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-mepdf 3.0
Propagated dependencies: r-pracma@2.4.6 r-plyr@1.8.9 r-mvtnorm@1.3-3 r-gtools@3.9.5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MEPDF
Licenses: GPL 2
Build system: r
Synopsis: Creation of Empirical Density Functions Based on Multivariate Data
Description:

Based on the input data an n-dimensional cube with sub cells of user specified side length is created. The number of sample points which fall in each sub cube is counted, and with the cell volume and overall sample size an empirical probability can be computed. A number of cubes of higher resolution can be superimposed. The basic method stems from J.L. Bentley in "Multidimensional Divide and Conquer". J. L. Bentley (1980) <doi:10.1145/358841.358850>. Furthermore a simple kernel density estimation method is made available, as well as an expansion of Bentleys method, which offers a kernel approach for the grid method.

r-mmc 0.0.3
Propagated dependencies: r-survival@3.8-3 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=mmc
Licenses: GPL 3+
Build system: r
Synopsis: Multivariate Measurement Error Correction
Description:

This package provides routines for multivariate measurement error correction. Includes procedures for linear, logistic and Cox regression models. Bootstrapped standard errors and confidence intervals can be obtained for corrected estimates.

r-move 4.2.7
Propagated dependencies: r-xml2@1.5.0 r-terra@1.8-86 r-sp@2.2-0 r-rcpp@1.1.0 r-raster@3.6-32 r-memoise@2.0.1 r-httr@1.4.7 r-geosphere@1.5-20
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://bartk.gitlab.io/move/
Licenses: GPL 3+
Build system: r
Synopsis: Visualizing and Analyzing Animal Track Data
Description:

This package contains functions to access movement data stored in movebank.org as well as tools to visualize and statistically analyze animal movement data, among others functions to calculate dynamic Brownian Bridge Movement Models. Move helps addressing movement ecology questions.

r-marble 0.0.3
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/xilustat/marble
Licenses: GPL 2
Build system: r
Synopsis: Robust Marginal Bayesian Variable Selection for Gene-Environment Interactions
Description:

Recently, multiple marginal variable selection methods have been developed and shown to be effective in Gene-Environment interactions studies. We propose a novel marginal Bayesian variable selection method for Gene-Environment interactions studies. In particular, our marginal Bayesian method is robust to data contamination and outliers in the outcome variables. With the incorporation of spike-and-slab priors, we have implemented the Gibbs sampler based on Markov Chain Monte Carlo. The core algorithms of the package have been developed in C++'.

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