_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-cforward 0.2.0
Propagated dependencies: r-tibble@3.3.0 r-survival@3.8-3 r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/muschellij2/cforward
Licenses: GPL 3
Build system: r
Synopsis: Forward Selection using Concordance/C-Index
Description:

This package performs forward model selection, using the C-index/concordance in survival analysis models.

r-csstools 1.0
Propagated dependencies: r-sna@2.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cssTools
Licenses: GPL 2+
Build system: r
Synopsis: Cognitive Social Structure Tools
Description:

This package provides a collection of tools for estimating a network from a random sample of cognitive social structure (CSS) slices. Also contains functions for evaluating a CSS in terms of various error types observed in each slice.

r-calpassapi 0.0.3
Propagated dependencies: r-stringr@1.6.0 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/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-chemdeg 0.1.4
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/migliomatte/chemdeg
Licenses: GPL 3+
Build system: r
Synopsis: Analysis of Chemical Degradation Kinetic Data
Description:

This package provides a collection of functions that have been developed to assist experimenter in modeling chemical degradation kinetic data. The selection of the appropriate degradation model and parameter estimation is carried out automatically as far as possible and is driven by a rigorous statistical interpretation of the results. The package integrates already available goodness-of-fit statistics for nonlinear models. In addition it allows data fitting with the nonlinear first-order multi-target (FOMT) model.

r-chandwich 1.1.6
Propagated dependencies: r-numderiv@2016.8-1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://paulnorthrop.github.io/chandwich/
Licenses: GPL 2+
Build system: r
Synopsis: Chandler-Bate Sandwich Loglikelihood Adjustment
Description:

This package performs adjustments of a user-supplied independence loglikelihood function using a robust sandwich estimator of the parameter covariance matrix, based on the methodology in Chandler and Bate (2007) <doi:10.1093/biomet/asm015>. This can be used for cluster correlated data when interest lies in the parameters of the marginal distributions or for performing inferences that are robust to certain types of model misspecification. Functions for profiling the adjusted loglikelihoods are also provided, as are functions for calculating and plotting confidence intervals, for single model parameters, and confidence regions, for pairs of model parameters. Nested models can be compared using an adjusted likelihood ratio test.

r-chattr 0.3.1
Propagated dependencies: r-yaml@2.3.10 r-shiny@1.11.1 r-rstudioapi@0.17.1 r-rlang@1.1.6 r-purrr@1.2.0 r-processx@3.8.6 r-lifecycle@1.0.4 r-httr2@1.2.1 r-glue@1.8.0 r-fs@1.6.6 r-ellmer@0.4.0 r-coro@1.1.0 r-config@0.3.2 r-clipr@0.8.0 r-cli@3.6.5 r-bslib@0.9.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/mlverse/chattr
Licenses: Expat
Build system: r
Synopsis: Interact with Large Language Models in 'RStudio'
Description:

Enables user interactivity with large-language models ('LLM') inside the RStudio integrated development environment (IDE). The user can interact with the model using the shiny app included in this package, or directly in the R console. It comes with back-ends for OpenAI', GitHub Copilot', and LlamaGPT'.

r-comtradr 1.0.5
Propagated dependencies: r-stringr@1.6.0 r-rlang@1.1.6 r-readr@2.1.6 r-rappdirs@0.3.3 r-purrr@1.2.0 r-poorman@0.2.7 r-memoise@2.0.1 r-lubridate@1.9.4 r-lifecycle@1.0.4 r-httr2@1.2.1 r-fs@1.6.6 r-cli@3.6.5 r-cachem@1.1.0 r-askpass@1.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://docs.ropensci.org/comtradr/
Licenses: GPL 3
Build system: r
Synopsis: Interface with the United Nations Comtrade API
Description:

Interface with and extract data from the United Nations Comtrade API <https://comtradeplus.un.org/>. Comtrade provides country level shipping data for a variety of commodities, these functions allow for easy API query and data returned as a tidy data frame.

r-cmpsr 0.1.2
Propagated dependencies: r-rlang@1.1.6 r-ggplot2@4.0.1 r-dplyr@1.1.4 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=cmpsR
Licenses: GPL 3
Build system: r
Synopsis: R Implementation of Congruent Matching Profile Segments Method
Description:

This is an open-source implementation of the Congruent Matching Profile Segments (CMPS) method (Chen et al. 2019)<doi:10.1016/j.forsciint.2019.109964>. In general, it can be used for objective comparison of striated tool marks, and in our examples, we specifically use it for bullet signatures comparisons. The CMPS score is expected to be large if two signatures are similar. So it can also be considered as a feature that measures the similarity of two bullet signatures.

r-cdid 0.1.1
Propagated dependencies: r-purrr@1.2.0 r-matrix@1.7-4 r-mass@7.3-65 r-did@2.3.0 r-bmisc@1.4.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/joelcuerrier/cdid
Licenses: GPL 2
Build system: r
Synopsis: The Chained Difference-in-Differences
Description:

Extends the did package to improve efficiency and handling of unbalanced panel data. Bellego, Benatia, and Dortet-Bernadet (2024), "The Chained Difference-in-Differences", Journal of Econometrics, <doi:10.1016/j.jeconom.2024.105783>.

r-cfm 0.8.0
Propagated dependencies: r-truncnorm@1.0-9 r-rspectra@0.16-2 r-robustbase@0.99-6 r-psych@2.5.6 r-pracma@2.4.6 r-mvtnorm@1.3-3 r-matrixcalc@1.0-6 r-matrix@1.7-4 r-mass@7.3-65 r-kernlab@0.9-33 r-crch@1.2-2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CFM
Licenses: Expat
Build system: r
Synopsis: Analyzing Censored Factor Models
Description:

This package provides generation and estimation of censored factor models for high-dimensional data with censored errors (normal, t, logistic). Includes Sparse Orthogonal Principal Components (SOPC), and evaluation metrics. Based on Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.

r-choroplethradmin1 1.1.1
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: http://www.arilamstein.com/open-source
Licenses: Modified BSD
Build system: r
Synopsis: Contains an Administrative-Level-1 Map of the World
Description:

This package contains an administrative-level-1 map of the world. Administrative-level-1 is the generic term for the largest sub-national subdivision of a country. This package was created for use with the choroplethr package.

r-cookiemonster 0.1.0
Propagated dependencies: r-vctrs@0.6.5 r-urltools@1.7.3.1 r-tibble@3.3.0 r-stringi@1.8.7 r-rlang@1.1.6 r-rappdirs@0.3.3 r-openssl@2.3.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/JBGruber/cookiemonster
Licenses: GPL 3+
Build system: r
Synopsis: Your Friendly Solution to Managing Browser Cookies
Description:

This package provides a convenient tool to store and format browser cookies and use them in HTTP requests (for example, through httr2', httr or curl').

r-cdgd 1.0.1
Propagated dependencies: r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/ang-yu/cdgd
Licenses: Expat
Build system: r
Synopsis: Causal Decomposition of Group Disparities
Description:

Estimates the causal decompositions of group disparities developed by Yu and Elwert (2025) <doi:10.1214/24-AOAS1990>. For the nuisance functions of the estimators, we provide both parametric and nonparametric options, as well as manual options in case the default models are not satisfying.

r-censable 0.0.8
Propagated dependencies: r-tinytiger@0.0.11 r-tibble@3.3.0 r-stringr@1.6.0 r-sf@1.0-23 r-rlang@1.1.6 r-purrr@1.2.0 r-memoise@2.0.1 r-dplyr@1.1.4 r-censusapi@0.9.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://christophertkenny.com/censable/
Licenses: Expat
Build system: r
Synopsis: Making Census Data More Usable
Description:

This package creates a common framework for organizing, naming, and gathering population, age, race, and ethnicity data from the Census Bureau. Accesses the API <https://www.census.gov/data/developers/data-sets.html>. Provides tools for adding information to existing data to line up with Census data.

r-correctedfdr 1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CorrectedFDR
Licenses: LGPL 3
Build system: r
Synopsis: Correcting False Discovery Rates
Description:

There are many estimators of false discovery rate. In this package we compute the Nonlocal False Discovery Rate (NFDR) and the estimators of local false discovery rate: Corrected False discovery Rate (CFDR), Re-ranked False Discovery rate (RFDR) and the blended estimator. Bickel, D.R., Rahal, A. (2019) <https://tinyurl.com/kkdc9rk8>.

r-cncagui 1.1
Propagated dependencies: r-tkrplot@0.0-30 r-tcltk2@1.6.1 r-shapes@1.2.8 r-rgl@1.3.31 r-plotrix@3.8-13 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cncaGUI
Licenses: GPL 2+
Build system: r
Synopsis: Canonical Non-Symmetrical Correspondence Analysis in R
Description:

This package provides a GUI with which users can construct and interact with Canonical Correspondence Analysis and Canonical Non-Symmetrical Correspondence Analysis and provides inferential results by using Bootstrap Methods.

r-coda-base 1.0.3
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://mcomas.net/coda.base/
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Basic Set of Functions for Compositional Data Analysis
Description:

This package provides a minimum set of functions to perform compositional data analysis using the log-ratio approach introduced by John Aitchison (1982). Main functions have been implemented in c++ for better performance.

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
Build system: r
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-cepreader 1.2-2
Propagated dependencies: r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/
Licenses: FSDG-compatible
Build system: r
Synopsis: Read 'CEP' and Legacy 'CANOCO' Files
Description:

Read Condensed Cornell Ecology Program ('CEP') and legacy CANOCO files into R data frames.

r-ctsem 3.10.6
Propagated dependencies: r-tibble@3.3.0 r-stanheaders@2.32.10 r-rstantools@2.5.0 r-rstan@2.32.7 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-png@0.1-8 r-plyr@1.8.9 r-parallelly@1.45.1 r-mvtnorm@1.3-3 r-mize@0.2.5 r-matrix@1.7-4 r-mass@7.3-65 r-ggplot2@4.0.1 r-expm@1.0-0 r-deriv@4.2.0 r-data-table@1.17.8 r-corpcor@1.6.10 r-code@1.1.1 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/cdriveraus/ctsem
Licenses: GPL 3
Build system: r
Synopsis: Continuous Time Structural Equation Modelling
Description:

Hierarchical continuous (and discrete) time state space modelling, for linear and nonlinear systems measured by continuous variables, with limited support for binary data. The subject specific dynamic system is modelled as a stochastic differential equation (SDE) or difference equation, measurement models are typically multivariate normal factor models. Linear mixed effects SDE's estimated via maximum likelihood and optimization are the default. Nonlinearities, (state dependent parameters) and random effects on all parameters are possible, using either max likelihood / max a posteriori optimization (with optional importance sampling) or Stan's Hamiltonian Monte Carlo sampling. See <https://github.com/cdriveraus/ctsem/raw/master/vignettes/hierarchicalmanual.pdf> for details. See <https://osf.io/preprints/psyarxiv/4q9ex_v2> for a detailed tutorial. Priors may be used. For the conceptual overview of the hierarchical Bayesian linear SDE approach, see <https://www.researchgate.net/publication/324093594_Hierarchical_Bayesian_Continuous_Time_Dynamic_Modeling>. Exogenous inputs may also be included, for an overview of such possibilities see <https://www.researchgate.net/publication/328221807_Understanding_the_Time_Course_of_Interventions_with_Continuous_Time_Dynamic_Models> . <https://cdriver.netlify.app/> contains some tutorial blog posts.

r-comphy 1.0.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/jfoadi/comphy
Licenses: GPL 2+
Build system: r
Synopsis: Functions Used in the Book "Computational Physics with R"
Description:

This package provides a collection of functions described and used in the book Foadi (2026, ISBN:9780750326308) "Computational Physics with R". These include routines for numerical differentiation, integration, differential equations, eigenvalue problems, Monte Carlo methods, and other algorithms relevant to computational physics.

r-clc 1.0.0
Propagated dependencies: r-xml2@1.5.0 r-terra@1.8-86 r-sf@1.0-23 r-rpostgres@1.4.8 r-rlang@1.1.6 r-ggplot2@4.0.1 r-gdalutilities@1.2.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://josesamos.github.io/clc/
Licenses: Expat
Build system: r
Synopsis: CORINE Land Cover Data and Styles
Description:

Streamline the management, analysis, and visualization of CORINE Land Cover data. Addresses challenges associated with its classification system and related styles, such as color mappings and descriptive labels.

r-cnorm 3.5.1
Propagated dependencies: r-leaps@3.2 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://www.psychometrica.de/cNorm_en.html
Licenses: AGPL 3
Build system: r
Synopsis: Continuous Norming
Description:

This package provides a comprehensive toolkit for generating continuous test norms in psychometrics and biometrics, and analyzing model fit. The package offers both distribution-free modeling using Taylor polynomials and parametric modeling using the beta-binomial and the Sinh-Arcsinh distribution. Originally developed for achievement tests, it is applicable to a wide range of mental, physical, or other test scores dependent on continuous or discrete explanatory variables. The package provides several advantages: It minimizes deviations from representativeness in subsamples, interpolates between discrete levels of explanatory variables, and significantly reduces the required sample size compared to conventional norming per age group. cNORM enables graphical and analytical evaluation of model fit, accommodates a wide range of scales including those with negative and descending values, and even supports conventional norming. It generates norm tables including confidence intervals. It also includes methods for addressing representativeness issues through Iterative Proportional Fitting. Based on Lenhard et al. (2016) <doi:10.1177/1073191116656437>, Lenhard et al. (2019) <doi:10.1371/journal.pone.0222279>, Lenhard and Lenhard (2021) <doi:10.1177/0013164420928457> and Gary et al. (2023) <doi:10.1007/s00181-023-02456-0>.

r-cycletrendr 0.3.0
Propagated dependencies: r-tseries@0.10-58 r-nortest@1.0-4 r-nlme@3.1-168 r-mgcv@1.9-4 r-lomb@2.5.0 r-ggplot2@4.0.1 r-fancova@0.6-1 r-changepoint@2.3 r-blocklength@0.2.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/PietroPiu-labstats/cycleTrendR
Licenses: GPL 3
Build system: r
Synopsis: Adaptive Cycle and Trend Analysis for Irregular Time Series
Description:

This package provides adaptive trend estimation, cycle detection, Fourier harmonic selection, bootstrap confidence intervals, change-point detection, and rolling-origin forecasting. Supports LOESS (Locally Estimated Scatterplot Smoothing), GAM (Generalized Additive Model), and GAMM (Generalized Additive Mixed Model), and automatically handles irregular sampling using the Lomb-Scargle periodogram. Methods implemented in this package are described in Cleveland et al. (1990) <doi:10.2307/2289548>, Wood (2017) <doi:10.1201/9781315370279>, and Scargle (1982) <doi:10.1086/160554>.

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