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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 search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-copre 0.2.2
Propagated dependencies: r-rcpparmadillo@15.2.6-1 r-rcpp@1.1.1-1.1 r-pracma@2.4.6 r-dirichletprocess@0.4.2 r-bh@1.90.0-1 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=copre
Licenses: GPL 2+
Build system: r
Synopsis: Tools for Nonparametric Martingale Posterior Sampling
Description:

This package performs Bayesian nonparametric density estimation using Martingale posterior distributions including the Copula Resampling (CopRe) algorithm. Also included are a Gibbs sampler for the marginal Gibbs-type mixture model and an extension to include full uncertainty quantification via a predictive sequence resampling (SeqRe) algorithm. The CopRe and SeqRe samplers generate random nonparametric distributions as output, leading to complete nonparametric inference on posterior summaries. Routines for calculating arbitrary functionals from the sampled distributions are included as well as an important algorithm for finding the number and location of modes, which can then be used to estimate the clusters in the data using, for example, k-means. Implements work developed in Moya B., Walker S. G. (2022). <doi:10.48550/arxiv.2206.08418>, Fong, E., Holmes, C., Walker, S. G. (2021) <doi:10.48550/arxiv.2103.15671>, and Escobar M. D., West, M. (1995) <doi:10.1080/01621459.1995.10476550>.

r-cgmguru 1.3.0
Propagated dependencies: r-rcpp@1.1.1-1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/shstat1729/cgmguru
Licenses: GPL 2
Build system: r
Synopsis: Advanced Continuous Glucose Monitoring Analysis with High-Performance C++ Backend
Description:

This package provides tools for advanced analysis of continuous glucose monitoring (CGM) time-series, implementing GRID (Glucose Rate Increase Detector) and GRID-based algorithms for postprandial peak detection, and detection of hypoglycemic and hyperglycemic episodes (Levels 1/2/Extended) aligned with international consensus CGM metrics. Core algorithms are implemented in optimized C++ using Rcpp to provide accurate and fast analysis on large datasets.

r-covercorr 1.1.0
Propagated dependencies: r-transport@0.15-4 r-mass@7.3-65 r-fields@17.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=covercorr
Licenses: GPL 3
Build system: r
Synopsis: Coverage Correlation Coefficient and Testing for Independence
Description:

Computes the coverage correlation coefficient introduced in <doi:10.48550/arXiv.2508.06402> , a statistical measure that quantifies dependence between two random vectors by computing the union volume of data-centered hypercubes in a uniform space.

r-caumedi 0.1.1
Propagated dependencies: r-glmnet@5.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CauMedi
Licenses: Expat
Build system: r
Synopsis: Cell Type-Specific Causal Mediation Models for Single-Cell Data
Description:

This package provides a causal mediation framework for cell type-specific single-cell data based on joint mediator multilevel models. The framework jointly models overdispersed counts and zero inflation for the mediators.

r-cpp11armadillo 0.5.4
Propagated dependencies: r-cpp11@0.5.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://pacha.dev/cpp11armadillo/
Licenses: FSDG-compatible
Build system: r
Synopsis: An 'Armadillo' Interface
Description:

This package provides function declarations and inline function definitions that facilitate communication between R and the Armadillo C++ library for linear algebra and scientific computing. This implementation is detailed in Vargas Sepulveda and Schneider Malamud (2024) <doi:10.1016/j.softx.2025.102087>.

r-cprr 0.2.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: http://github.com/anhoej/cprr
Licenses: GPL 3
Build system: r
Synopsis: Functions for Working with Danish CPR Numbers
Description:

Calculate date of birth, age, and gender, and generate anonymous sequence numbers from CPR numbers. <https://en.wikipedia.org/wiki/Personal_identification_number_(Denmark)>.

r-chatai4r 1.3.1
Propagated dependencies: r-rstudioapi@0.18.0 r-jsonlite@2.0.0 r-igraph@2.3.1 r-httr@1.4.8 r-glue@1.8.1 r-future@1.70.0 r-deeprstudio@0.0.9 r-curl@7.1.0 r-crayon@1.5.3 r-clipr@0.8.0 r-base64enc@0.1-6 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://kumes.github.io/chatAI4R/
Licenses: Artistic License 2.0
Build system: r
Synopsis: Chat-Based Interactive Artificial Intelligence for R
Description:

The Large Language Model (LLM) represents a groundbreaking advancement in data science and programming, and also allows us to extend the world of R. A seamless interface for integrating the OpenAI Web APIs into R is provided in this package. This package leverages LLM-based AI techniques, enabling efficient knowledge discovery and data analysis. The previous functions such as seamless translation and image generation have been moved to other packages deepRstudio and stableDiffusion4R'.

r-clamr 2.1-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ClamR
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Time Series Modeling for Climate Change Proxies
Description:

Implementation of the Wilkinson and Ivany (2002) approach to paleoclimate analysis, applied to isotope data extracted from clams.

r-cdcsis 2.0.5
Propagated dependencies: r-rcpp@1.1.1-1.1 r-mvtnorm@1.3-7 r-ks@1.15.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/Mamba413/cdcsis
Licenses: GPL 2+
Build system: r
Synopsis: Conditional Distance Correlation Based Feature Screening and Conditional Independence Inference
Description:

Conditional distance correlation <doi:10.1080/01621459.2014.993081> is a novel conditional dependence measurement of two multivariate random variables given a confounding variable. This package provides conditional distance correlation, performs the conditional distance correlation sure independence screening procedure for ultrahigh dimensional data <https://www3.stat.sinica.edu.tw/statistica/J28N1/J28N114/J28N114.html>, and conducts conditional distance covariance test for conditional independence assumption of two multivariate variable.

r-colourspace 0.1.1
Propagated dependencies: r-rann@2.6.2 r-farver@2.1.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/iamyannc/colourspace
Licenses: Expat
Build system: r
Synopsis: Convert from One Colour Space to Another, Print a Ready-to-Paste Modern 'CSS' Syntax
Description:

This package provides a comprehensive API for colour conversion between popular colour spaces ('RGB', HSL', OKLab', OKLch', hex', and named colours) along with clean, modern CSS Color Level 4 syntax output. Integrates seamlessly into Shiny and Quarto workflows. Includes nearest colour name lookup powered by a curated database of over 30,000 colour names. OKLab'/'OKLCh colour spaces are described in Ottosson (2020) <https://bottosson.github.io/posts/oklab/>. CSS Color Level 4 syntax follows the W3C specification <https://www.w3.org/TR/css-color-4/>.

r-coinmind 1.2.1
Propagated dependencies: r-mcmcpack@1.7-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CoinMinD
Licenses: GPL 3
Build system: r
Synopsis: Simultaneous Confidence Intervals for Multinomial Proportions
Description:

Several authors have proposed methods for constructing simultaneous confidence intervals for multinomial proportions. The package implements seven classical approachesâ Wilson, Quesenberry and Hurst, Goodman, Wald (with and without continuity correction), Fitzpatrick and Scott, and Sison and Glazâ along with Bayesian methods based on Dirichlet models. Both equal and unequal Dirichlet priors are supported, providing a broad framework for inference, data analysis, and sensitivity evaluation.

r-candisc 1.1.1
Propagated dependencies: r-mass@7.3-65 r-insight@1.5.1 r-heplots@1.8.5 r-ggplot2@4.0.3 r-dplyr@1.2.1 r-car@3.1-5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/friendly/candisc/
Licenses: GPL 2+
Build system: r
Synopsis: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis
Description:

This package provides functions for computing and visualizing generalized canonical discriminant analyses and canonical correlation analysis for a multivariate linear model. Traditional canonical discriminant analysis is restricted to a one-way MANOVA design and is equivalent to canonical correlation analysis between a set of quantitative response variables and a set of dummy variables coded from the factor variable. The candisc package generalizes this to higher-way MANOVA designs for all factors in a multivariate linear model, computing canonical scores and vectors for each term. The graphic functions provide low-rank (1D, 2D, 3D) visualizations of terms in an mlm via the plot.candisc and heplot.candisc methods. Related plots are now provided for canonical correlation analysis when all predictors are quantitative. Methods for linear discriminant analysis are now included.

r-calpassapi 0.0.3
Propagated dependencies: r-stringr@1.6.0 r-jsonlite@2.0.0 r-httr@1.4.8 r-dplyr@1.2.1 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/vinhdizzo/calpassapi
Licenses: GPL 3
Build system: r
Synopsis: R Interface to Access CalPASS API
Description:

This package implements methods for querying data from CalPASS using its API. CalPASS Plus. MMAP API V1. <https://mmap.calpassplus.org/docs/index.html>.

r-cohortsymmetry 0.3.0
Propagated dependencies: r-tidyr@1.3.2 r-tibble@3.3.1 r-rlang@1.2.0 r-patientprofiles@1.6.1 r-omopgenerics@1.4.2 r-here@1.0.2 r-drugutilisation@1.3.1 r-dplyr@1.2.1 r-codelistgenerator@4.1.0 r-cdmconnector@2.8.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://ohdsi.github.io/CohortSymmetry/
Licenses: FSDG-compatible
Build system: r
Synopsis: Sequence Symmetry Analysis Using the Observational Medical Outcomes Partnership Common Data Model
Description:

Calculating crude sequence ratio, adjusted sequence ratio and confidence intervals using data mapped to the Observational Medical Outcomes Partnership Common Data Model.

r-cpp 0.1.0
Propagated dependencies: r-mc2d@0.2.1 r-kappalab@0.4-12 r-ineq@0.2-13
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CPP
Licenses: GPL 2+
Build system: r
Synopsis: Composition of Probabilistic Preferences (CPP)
Description:

CPP is a multiple criteria decision method to evaluate alternatives on complex decision making problems, by a probabilistic approach. The CPP was created and expanded by Sant'Anna, Annibal P. (2015) <doi:10.1007/978-3-319-11277-0>.

r-cmstatr 0.10.0
Propagated dependencies: r-tidyr@1.3.2 r-tibble@3.3.1 r-rlang@1.2.0 r-purrr@1.2.2 r-mass@7.3-65 r-ksamples@1.2-12 r-ggplot2@4.0.3 r-generics@0.1.4 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://www.cmstatr.net/
Licenses: AGPL 3
Build system: r
Synopsis: Statistical Methods for Composite Material Data
Description:

An implementation of the statistical methods commonly used for advanced composite materials in aerospace applications. This package focuses on calculating basis values (lower tolerance bounds) for material strength properties, as well as performing the associated diagnostic tests. This package provides functions for calculating basis values assuming several different distributions, as well as providing functions for non-parametric methods of computing basis values. Functions are also provided for testing the hypothesis that there is no difference between strength and modulus data from an alternate sample and that from a "qualification" or "baseline" sample. For a discussion of these statistical methods and their use, see the Composite Materials Handbook, Volume 1 (2012, ISBN: 978-0-7680-7811-4). Additional details about this package are available in the paper by Kloppenborg (2020, <doi:10.21105/joss.02265>).

r-ccss 1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ccss
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Cluster Circular Systematic Sampling
Description:

Draws systematic samples from a population that follows linear trend. The function returns a matrix comprising of the required samples as its column vectors. The samples produced are highly efficient and the inter sampling variance is minimum. The scheme will be useful in various field like Bioinformatics where the samples are expensive and must be precise in reflecting the population by possessing least sampling variance.

r-citsr 0.1.4
Propagated dependencies: r-nlme@3.1-169 r-ggplot2@4.0.3 r-dplyr@1.2.1 r-clubsandwich@0.7.0 r-aiccmodavg@2.3-4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=citsr
Licenses: Expat
Build system: r
Synopsis: Controlled Interrupted Time Series Analysis and Visualization
Description:

This package implements controlled interrupted time series (CITS) analysis for evaluating interventions in comparative time-series data. The package provides tools for preparing panel time-series datasets, fitting models using generalized least squares (GLS) with optional autoregressiveâ moving-average (ARMA) error structures, and computing fitted values and robust standard errors using cluster-robust variance estimators (CR2). Visualization functions enable clear presentation of estimated effects and counterfactual trajectories following interventions. Background on methods for causal inference in interrupted time series can be found in Linden and Adams (2011) <doi:10.1111/j.1365-2753.2010.01504.x> and Lopez Bernal, Cummins, and Gasparrini (2018) <doi:10.1093/ije/dyy135>.

r-cjar 0.2.1
Propagated dependencies: r-vctrs@0.7.3 r-tibble@3.3.1 r-stringr@1.6.0 r-rlang@1.2.0 r-r6@2.6.1 r-purrr@1.2.2 r-progress@1.2.3 r-openssl@2.4.1 r-memoise@2.0.1 r-magrittr@2.0.5 r-lubridate@1.9.5 r-jsonlite@2.0.0 r-jose@2.0.0 r-httr2@1.2.2 r-httr@1.4.8 r-glue@1.8.1 r-dplyr@1.2.1 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cjar
Licenses: Expat
Build system: r
Synopsis: R Client for 'Customer Journey Analytics' ('CJA') API
Description:

Connect and pull data from the CJA API, which powers CJA Workspace <https://github.com/AdobeDocs/cja-apis>. The package was developed with the analyst in mind and will continue to be developed with the guiding principles of iterative, repeatable, timely analysis. New features are actively being developed and we value your feedback and contribution to the process.

r-covid19dbcand 0.1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/MohammedFCIS/covid19dbcand
Licenses: CC0
Build system: r
Synopsis: Selected 'Drugbank' Drugs for COVID-19 Treatment Related Data in R Format
Description:

This package provides different datasets parsed from Drugbank <https://www.drugbank.ca/covid-19> database using dbparser package. It is a smaller version from dbdataset package. It contains only information about COVID-19 possible treatment.

r-ctsfeatures 1.2.2
Propagated dependencies: r-tsibble@1.2.0 r-rdpack@2.6.6 r-latex2exp@0.9.8 r-ggplot2@4.0.3 r-bolstad2@1.0-29 r-astsa@2.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ctsfeatures
Licenses: GPL 2
Build system: r
Synopsis: Analyzing Categorical Time Series
Description:

An implementation of several functions for feature extraction in categorical time series datasets. Specifically, some features related to marginal distributions and serial dependence patterns can be computed. These features can be used to feed clustering and classification algorithms for categorical time series, among others. The package also includes some interesting datasets containing biological sequences. Practitioners from a broad variety of fields could benefit from the general framework provided by ctsfeatures'.

r-ci 0.0.1
Propagated dependencies: r-tidyr@1.3.2 r-tibble@3.3.1 r-purrr@1.2.2 r-forcats@1.0.1 r-dplyr@1.2.1 r-desctools@0.99.60 r-checkmate@2.3.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/GegznaV/ci
Licenses: GPL 3+
Build system: r
Synopsis: Confidence Intervals for Education
Description:

An educational package providing intuitive functions for calculating confidence intervals (CI) for various statistical parameters. Designed primarily for teaching and learning about statistical inference (particularly confidence intervals). Offers user-friendly wrappers around established methods for proportions, means, and bootstrap-based intervals. Integrates seamlessly with Tidyverse workflows, making it ideal for classroom demonstrations and student exercises.

r-colocalization 1.0.2
Propagated dependencies: r-ggplot2@4.0.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=colocalization
Licenses: GPL 3
Build system: r
Synopsis: Normalized Spatial Intensity Correlation
Description:

Calculate the colocalization index, NSInC, in two different ways as described in the paper (Liu et al., 2019. Manuscript submitted for publication.) for multiple-species spatial data which contain the precise locations and membership of each spatial point. The two main functions are nsinc.d() and nsinc.z(). They provide the Pearsonâ s correlation coefficients of signal proportions in different memberships within a concerned proximity of every signal (or every base signal if single direction colocalization is considered) across all (base) signals using two different ways of normalization. The proximity sizes could be an individual value or a range of values, where the default ranges of values are different for the two functions.

r-contrast 0.24.2
Propagated dependencies: r-sandwich@3.1-1 r-rms@8.1-1 r-nlme@3.1-169
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/Alanocallaghan/contrast
Licenses: GPL 2
Build system: r
Synopsis: Collection of Contrast Methods
Description:

One degree of freedom contrasts for lm', glm', gls', and geese objects.

Total packages: 73980