_            _    _        _         _
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      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-cctest 2.2.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cctest
Licenses: FSDG-compatible
Synopsis: Canonical Correlations and Tests of Independence
Description:

This package provides a simple interface for multivariate correlation analysis that unifies various classical statistical procedures including t-tests, tests in univariate and multivariate linear models, parametric and nonparametric tests for correlation, Kruskal-Wallis tests, common approximate versions of Wilcoxon rank-sum and signed rank tests, chi-squared tests of independence, score tests of particular hypotheses in generalized linear models, canonical correlation analysis and linear discriminant analysis.

r-contourer 1.0.5
Propagated dependencies: r-reshape@0.8.10 r-rcpp@1.1.0 r-plyr@1.8.9 r-geometry@0.5.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: http://contoureR.com
Licenses: GPL 2+
Synopsis: Contouring of Non-Regular Three-Dimensional Data
Description:

Create contour lines for a non regular series of points, potentially from a non-regular canvas.

r-crwbmetareg 1.0
Propagated dependencies: r-sandwich@3.1-1 r-rfast2@0.1.5.5 r-lmtest@0.9-40
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=crwbmetareg
Licenses: GPL 2+
Synopsis: Cluster Robust Wild Bootstrap Meta Regression
Description:

In meta regression sometimes the studies have multiple effects that are correlated. For this reason cluster robust standard errors must be computed. However, since the clusters are unbalanced the wild bootstrap is suggested. See Oczkowski E. and Doucouliagos H. (2015). "Wine prices and quality ratings: a meta-regression analysis". American Journal of Agricultural Economics, 97(1): 103--121. <doi:10.1093/ajae/aau057> and Cameron A. C., Gelbach J. B. and Miller D. L. (2008). "Bootstrap-based improvements for inference with clustered errors". The Review of Economics and Statistics, 90(3): 414--427. <doi:10.1162/rest.90.3.414>.

r-crassmat 0.0.6
Propagated dependencies: r-svmisc@1.4.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=crassmat
Licenses: GPL 3
Synopsis: Conditional Random Sampling Sparse Matrices
Description:

Conducts conditional random sampling on observed values in sparse matrices. Useful for training and test set splitting sparse matrices prior to model fitting in cross-validation procedures and estimating the predictive accuracy of data imputation methods, such as matrix factorization or singular value decomposition (SVD). Although designed for applications with sparse matrices, CRASSMAT can also be applied to complete matrices, as well as to those containing missing values.

r-commonsmath 1.2.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/dbdahl/commonsMath
Licenses: ASL 2.0 FSDG-compatible
Synopsis: JAR Files of the Apache Commons Mathematics Library
Description:

Java JAR files for the Apache Commons Mathematics Library for use by users and other packages.

r-cycloids 1.0.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cycloids
Licenses: GPL 3
Synopsis: Tools for Calculating Hypocycloids, Epicycloids, Hypotrochoids, and Epitrochoids
Description:

This package provides tools for calculating coordinate representations of hypocycloids, epicyloids, hypotrochoids, and epitrochoids (altogether called cycloids here) with different scaling and positioning options. The cycloids can be visualised with any appropriate graphics function in R.

r-consreg 0.1.0
Propagated dependencies: r-rsolnp@2.0.1 r-rlang@1.1.6 r-rcpp@1.1.0 r-nloptr@2.2.1 r-metrics@0.1.4 r-mcmcpack@1.7-1 r-ggplot2@4.0.1 r-gensa@1.1.15 r-ga@3.2.4 r-forecast@8.24.0 r-fme@1.3.6.4 r-dfoptim@2023.1.0 r-deoptim@2.2-8 r-data-table@1.17.8 r-adaptmcmc@1.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/puigjos/ConsReg
Licenses: GPL 2 GPL 3
Synopsis: Fits Regression & ARMA Models Subject to Constraints to the Coefficient
Description:

Fits or generalized linear models either a regression with Autoregressive moving-average (ARMA) errors for time series data. The package makes it easy to incorporate constraints into the model's coefficients. The model is specified by an objective function (Gaussian, Binomial or Poisson) or an ARMA order (p,q), a vector of bound constraints for the coefficients (i.e beta1 > 0) and the possibility to incorporate restrictions among coefficients (i.e beta1 > beta2). The references of this packages are the same as stats package for glm() and arima() functions. See Brockwell, P. J. and Davis, R. A. (1996, ISBN-10: 9783319298528). For the different optimizers implemented, it is recommended to consult the documentation of the corresponding packages.

r-copernicusclimate 0.0.4
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-jsonlite@2.0.0 r-httr2@1.2.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://pepijn-devries.github.io/CopernicusClimate/
Licenses: GPL 3+
Synopsis: Search Download and Handle Data from Copernicus Climate Data Service
Description:

Subset and download data from EU Copernicus Climate Data Service: <https://cds.climate.copernicus.eu/>. Import information about the Earth's past, present and future climate from Copernicus into R without the need of external software.

r-coortweet 2.1.2
Propagated dependencies: r-tidytable@0.11.2 r-stringi@1.8.7 r-rcppsimdjson@0.1.14 r-lubridate@1.9.4 r-igraph@2.2.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/nicolarighetti/CooRTweet
Licenses: Expat
Synopsis: Coordinated Networks Detection on Social Media
Description:

Detects a variety of coordinated actions on social media and outputs the network of coordinated users along with related information.

r-chmm 0.1.1
Propagated dependencies: r-mclust@6.1.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: http://github.com/julieaubert/CHMM
Licenses: GPL 2
Synopsis: Coupled Hidden Markov Models
Description:

An exact and a variational inference for coupled Hidden Markov Models applied to the joint detection of copy number variations.

r-cmatching 2.4
Propagated dependencies: r-multiwayvcov@1.2.3 r-matching@4.10-15 r-lmtest@0.9-40 r-lme4@1.1-37
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CMatching
Licenses: GPL 2
Synopsis: Matching Algorithms for Causal Inference with Clustered Data
Description:

This package provides functions to perform matching algorithms for causal inference with clustered data, as described in B. Arpino and M. Cannas (2016) <doi:10.1002/sim.6880>. Pure within-cluster and preferential within-cluster matching are implemented. Both algorithms provide causal estimates with cluster-adjusted estimates of standard errors.

r-censmfm 3.1
Propagated dependencies: r-tlrmvnmvt@1.1.2 r-mvtnorm@1.3-3 r-momtrunc@6.1 r-gridextra@2.3 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CensMFM
Licenses: GPL 2+
Synopsis: Finite Mixture of Multivariate Censored/Missing Data
Description:

It fits finite mixture models for censored or/and missing data using several multivariate distributions. Point estimation and asymptotic inference (via empirical information matrix) are offered as well as censored data generation. Pairwise scatter and contour plots can be generated. Possible multivariate distributions are the well-known normal, Student-t and skew-normal distributions. This package is an complement of Lachos, V. H., Moreno, E. J. L., Chen, K. & Cabral, C. R. B. (2017) <doi:10.1016/j.jmva.2017.05.005> for the multivariate skew-normal case.

r-conrad 1.0.0.1
Propagated dependencies: r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr2@1.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/fhdsl/conrad
Licenses: Expat
Synopsis: Client for the Microsoft's 'Cognitive Services Text to Speech REST' API
Description:

Convert text into synthesized speech and get a list of supported voices for a region. Microsoft's Cognitive Services Text to Speech REST API <https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/rest-text-to-speech?tabs=streaming> supports neural text to speech voices, which support specific languages and dialects that are identified by locale.

r-cattexact 0.1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CATTexact
Licenses: GPL 2 GPL 3
Synopsis: Computation of the p-Value for the Exact Conditional Cochran-Armitage Trend Test
Description:

This package provides functions for computing the one-sided p-values of the Cochran-Armitage trend test statistic for the asymptotic and the exact conditional test. The computation of the p-value for the exact test is performed using an algorithm following an idea by Mehta, et al. (1992) <doi:10.2307/1390598>.

r-corrsieve 1.6-9
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/campanam/rCorrSieve
Licenses: GPL 3+
Synopsis: Software for Summarising and Evaluating STRUCTURE Output
Description:

Statistical summary of STRUCTURE output. STRUCTURE is a K-means clustering method for inferring population structure and assigning individuals to populations using genetic data. Pritchard JK, Stephens M, Donnelly PJ (2000) <DOI:10.1093/genetics/155.2.945>. <https://web.stanford.edu/group/pritchardlab/structure.html>.

r-corrrf 1.1.0
Propagated dependencies: r-rpart@4.1.24 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=corrRF
Licenses: GPL 3
Synopsis: Clustered Random Forests for Optimal Prediction and Inference of Clustered Data
Description:

This package provides a clustered random forest algorithm for fitting random forests for data of independent clusters, that exhibit within cluster dependence. Details of the method can be found in Young and Buehlmann (2025) <doi:10.48550/arXiv.2503.12634>.

r-cyclotomic 1.3.0
Propagated dependencies: r-verylargeintegers@0.2.1 r-numbers@0.9-2 r-memoise@2.0.1 r-maybe@1.1.0 r-intmap@1.0.0 r-gmp@0.7-5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/stla/cyclotomic
Licenses: GPL 3
Synopsis: The Field of Cyclotomic Numbers
Description:

The cyclotomic numbers are complex numbers that can be thought of as the rational numbers extended with the roots of unity. They are represented exactly, enabling exact computations. They contain the Gaussian rationals (complex numbers with rational real and imaginary parts) as well as the square roots of all rational numbers. They also contain the sine and cosine of all rational multiples of pi. The algorithms implemented in this package are taken from the Haskell package cyclotomic', whose algorithms are adapted from code by Martin Schoenert and Thomas Breuer in the GAP project (<https://www.gap-system.org/>). Cyclotomic numbers have applications in number theory, algebraic geometry, algebraic number theory, coding theory, and in the theory of graphs and combinatorics. They have connections to the theory of modular functions and modular curves.

r-countland 0.1.2
Propagated dependencies: r-rlang@1.1.6 r-matrix@1.7-4 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/shchurch/countland
Licenses: Expat
Synopsis: Analysis of Biological Count Data, Especially from Single-Cell RNA-Seq
Description:

This package provides a set of functions for applying a restricted linear algebra to the analysis of count-based data. See the accompanying preprint manuscript: "Normalizing need not be the norm: count-based math for analyzing single-cell data" Church et al (2022) <doi:10.1101/2022.06.01.494334> This tool is specifically designed to analyze count matrices from single cell RNA sequencing assays. The tools implement several count-based approaches for standard steps in single-cell RNA-seq analysis, including scoring genes and cells, comparing cells and clustering, calculating differential gene expression, and several methods for rank reduction. There are many opportunities for further optimization that may prove useful in the analysis of other data. We provide the source code freely available at <https://github.com/shchurch/countland> and encourage users and developers to fork the code for their own purposes.

r-commondatamodel 1.0.1
Propagated dependencies: r-stringr@1.6.0 r-sqlrender@1.19.4 r-rmarkdown@2.30 r-rjava@1.0-11 r-readr@2.1.6 r-dplyr@1.1.4 r-dbi@1.2.3 r-databaseconnector@7.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CommonDataModel
Licenses: ASL 2.0
Synopsis: OMOP CDM DDL and Documentation Generator
Description:

Generates the scripts required to create an Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) database and associated documentation for supported database platforms. Leverages the SqlRender package to convert the Data Definition Language (DDL) script written in parameterized Structured Query Language (SQL) to the other supported dialects.

r-curvedepth 0.1.0.16
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-ddalpha@1.3.16
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=curveDepth
Licenses: GPL 2+
Synopsis: Tukey Curve Depth and Distance in the Space of Curves
Description:

Data recorded as paths or trajectories may be suitably described by curves, which are independent of their parametrization. For the space of such curves, the package provides functionalities for reading curves, sampling points on curves, calculating distance between curves and for computing Tukey curve depth of a curve w.r.t. to a bundle of curves. For details see Lafaye De Micheaux, Mozharovskyi, and Vimond (2021) <doi:10.48550/arXiv.1901.00180>.

r-cnltreg 0.1-2
Propagated dependencies: r-nlt@2.2-2 r-misctools@0.6-28 r-adlift@1.4-6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CNLTreg
Licenses: GPL 2
Synopsis: Complex-Valued Wavelet Lifting for Signal Denoising
Description:

Implementations of recent complex-valued wavelet shrinkage procedures for smoothing irregularly sampled signals, see Hamilton et al (2018) <doi:10.1080/00401706.2017.1281846>.

r-coclust 1.0-0
Propagated dependencies: r-gtools@3.9.5 r-copula@1.1-6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CoClust
Licenses: GPL 2+
Synopsis: Copula-Based Clustering Algorithm
Description:

This package provides a copula based clustering algorithm that finds clusters according to the complex multivariate dependence structure of the data generating process. The updated version of the algorithm is described in Di Lascio, F.M.L. and Giannerini, S. (2019). "Clustering dependent observations with copula functions". Statistical Papers, 60, p.35-51. <doi:10.1007/s00362-016-0822-3>.

r-cosa 2.1.0
Propagated dependencies: r-nloptr@2.2.1 r-msm@1.8.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cosa
Licenses: GPL 3+
Synopsis: Bound Constrained Optimal Sample Size Allocation
Description:

This package implements bound constrained optimal sample size allocation (BCOSSA) framework described in Bulus & Dong (2021) <doi:10.1080/00220973.2019.1636197> for power analysis of multilevel regression discontinuity designs (MRDDs) and multilevel randomized trials (MRTs) with continuous outcomes. Minimum detectable effect size (MDES) and power computations for MRDDs allow polynomial functional form specification for the score variable (with or without interaction with the treatment indicator). See Bulus (2021) <doi:10.1080/19345747.2021.1947425>.

r-camea 0.1.1
Propagated dependencies: r-tibble@3.3.0 r-purrr@1.2.0 r-metafor@4.8-0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CaMeA
Licenses: AGPL 3+
Synopsis: Causal Meta-Analysis for Aggregated Data
Description:

This package provides a tool for causal meta-analysis. This package implements the aggregation formulas and inference methods proposed in Berenfeld et al. (2025) <doi:10.48550/arXiv.2505.20168>. Users can input aggregated data across multiple studies and compute causally meaningful aggregated effects of their choice (risk difference, risk ratio, odds ratio, etc) under user-specified population weighting. The built-in function camea() allows to obtain precise variance estimates for these effects and to compare the latter to a classical meta-analysis aggregate, the random effect model, as implemented in the metafor package <https://CRAN.R-project.org/package=metafor>.

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Total results: 68249