_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-cdcplaces 1.2.0
Propagated dependencies: r-zctacrosswalk@2.0.0 r-yyjsonr@0.1.21 r-tigris@2.2.1 r-sf@1.0-23 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/brendensm/CDCPLACES
Licenses: Expat
Build system: r
Synopsis: Access the 'CDC PLACES' API
Description:

Allows users to seamlessly query several CDC PLACES APIs (<https://data.cdc.gov/browse?q=PLACES%20&sortBy=relevance>) by geography, state, measure, and release year. This package also contains a function to explore the available measures for each release year.

r-ctxr 1.1.3
Propagated dependencies: r-urltools@1.7.3.1 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-lifecycle@1.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-data-table@1.17.8 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/USEPA/ctxR
Licenses: GPL 3+
Build system: r
Synopsis: Utilities for Interacting with the 'CTX' APIs
Description:

Access chemical, hazard, bioactivity, and exposure data from the Computational Toxicology and Exposure ('CTX') APIs <https://www.epa.gov/comptox-tools/computational-toxicology-and-exposure-apis>. ctxR was developed to streamline the process of accessing the information available through the CTX APIs without requiring prior knowledge of how to use APIs. Most data is also available on the CompTox Chemical Dashboard ('CCD') <https://comptox.epa.gov/dashboard/> and other resources found at the EPA Computational Toxicology and Exposure Online Resources <https://www.epa.gov/comptox-tools>.

r-chi 0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/dkahle/chi
Licenses: GPL 2
Build system: r
Synopsis: The Chi Distribution
Description:

Light weight implementation of the standard distribution functions for the chi distribution, wrapping those for the chi-squared distribution in the stats package.

r-ctmed 1.0.9
Propagated dependencies: r-simstatespace@1.2.15 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-numderiv@2016.8-1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/jeksterslab/cTMed
Licenses: GPL 3+
Build system: r
Synopsis: Continuous-Time Mediation
Description:

Computes effect sizes, standard errors, and confidence intervals for total, direct, and indirect effects in continuous-time mediation models as described in Pesigan, Russell, and Chow (2025) <doi:10.1037/met0000779>.

r-codestral 0.0.2
Propagated dependencies: r-stringr@1.6.0 r-rstudioapi@0.17.1 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://urbs-dev.github.io/codestral/
Licenses: Expat
Build system: r
Synopsis: Chat and FIM with 'Codestral'
Description:

Create an addin in Rstudio to do fill-in-the-middle (FIM) and chat with latest Mistral AI models for coding, Codestral and Codestral Mamba'. For more details about Mistral AI API': <https://docs.mistral.ai/getting-started/quickstart/> and <https://docs.mistral.ai/api/>. For more details about Codestral model: <https://mistral.ai/news/codestral>; about Codestral Mamba': <https://mistral.ai/news/codestral-mamba>.

r-cbnetworkma 0.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CBnetworkMA
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Contrast-Based Bayesian Network Meta Analysis
Description:

This package provides a function that facilitates fitting three types of models for contrast-based Bayesian Network Meta Analysis. The first model is that which is described in Lu and Ades (2006) <doi:10.1198/016214505000001302>. The other two models are based on a Bayesian nonparametric methods that permit ties when comparing treatment or for a treatment effect to be exactly equal to zero. In addition to the model fits, the package provides a summary of the interplay between treatment effects based on the procedure described in Barrientos, Page, and Lin (2023) <doi:10.48550/arXiv.2207.06561>.

r-cec 0.11.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/swarm-lab/cec
Licenses: GPL 3
Build system: r
Synopsis: Cross-Entropy Clustering
Description:

Splits data into Gaussian type clusters using the Cross-Entropy Clustering ('CEC') method. This method allows for the simultaneous use of various types of Gaussian mixture models, for performing the reduction of unnecessary clusters, and for discovering new clusters by splitting them. CEC is based on the work of Spurek, P. and Tabor, J. (2014) <doi:10.1016/j.patcog.2014.03.006>.

r-corrdna 1.0.1
Propagated dependencies: r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=corrDNA
Licenses: GPL 2+
Build system: r
Synopsis: Finding Associations in Position-Wise Aligned DNA Sequence Dataset
Description:

Can be useful for finding associations among different positions in a position-wise aligned sequence dataset. The approach adopted for finding associations among positions is based on the latent multivariate normal distribution.

r-cloudfs 0.1.3
Propagated dependencies: r-rlang@1.1.6 r-httr@1.4.7 r-googledrive@2.1.2 r-glue@1.8.0 r-dplyr@1.1.4 r-desc@1.4.3 r-cli@3.6.5 r-aws-s3@0.3.22
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://g6t.github.io/cloudfs/
Licenses: Expat
Build system: r
Synopsis: Streamlined Interface to Interact with Cloud Storage Platforms
Description:

This package provides a unified interface for simplifying cloud storage interactions, including uploading, downloading, reading, and writing files, with functions for both Google Drive (<https://www.google.com/drive/>) and Amazon S3 (<https://aws.amazon.com/s3/>).

r-causaldt 1.0.0
Propagated dependencies: r-tidyselect@1.2.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rpart@4.1.24 r-rlang@1.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-r-utils@2.13.0 r-purrr@1.2.0 r-partykit@1.2-24 r-lifecycle@1.0.4 r-grf@2.6.1 r-ggplot2@4.0.1 r-ggparty@1.0.0.1 r-dplyr@1.1.4 r-bcf@2.0.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://tiffanymtang.github.io/causalDT/
Licenses: Expat
Build system: r
Synopsis: Causal Distillation Trees
Description:

Causal Distillation Tree (CDT) is a novel machine learning method for estimating interpretable subgroups with heterogeneous treatment effects. CDT allows researchers to fit any machine learning model (or metalearner) to estimate heterogeneous treatment effects for each individual, and then "distills" these predicted heterogeneous treatment effects into interpretable subgroups by fitting an ordinary decision tree to predict the previously-estimated heterogeneous treatment effects. This package provides tools to estimate causal distillation trees (CDT), as detailed in Huang, Tang, and Kenney (2025) <doi:10.48550/arXiv.2502.07275>.

r-changes 1.0.1
Propagated dependencies: r-stringr@1.6.0 r-nls-multstart@2.0.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/matloff/changeS
Licenses: GPL 2+
Build system: r
Synopsis: S-Curve Fit for Changepoint Analysis
Description:

Estimation of changepoints using an "S-curve" approximation. Formation of confidence intervals for changepoint locations and magnitudes. Both abrupt and gradual changes can be modeled.

r-comppareto 0.1.0
Propagated dependencies: r-actuar@3.3-6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CompPareto
Licenses: GPL 3
Build system: r
Synopsis: Discrete Composite Distributions with Pareto Tails
Description:

This package contains the probability density function, cumulative distribution function, quantile function, and random number generator for composite and discrete composite distributions with Pareto tails. The detailed description of the methods and the applications of the methods can be found in Bowen Liu, Malwane M.A. Ananda (2023) <arXiv:2309.16443>.

r-csn 1.1.3
Propagated dependencies: r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=csn
Licenses: GPL 2
Build system: r
Synopsis: Closed Skew-Normal Distribution
Description:

This package provides functions for computing the density and the log-likelihood function of closed-skew normal variates, and for generating random vectors sampled from this distribution. See Gonzalez-Farias, G., Dominguez-Molina, J., and Gupta, A. (2004). The closed skew normal distribution, Skew-elliptical distributions and their applications: a journey beyond normality, Chapman and Hall/CRC, Boca Raton, FL, pp. 25-42.

r-copulaboost 0.1.0
Propagated dependencies: r-rvinecopulib@0.7.3.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=copulaboost
Licenses: FSDG-compatible
Build system: r
Synopsis: Fitting Additive Copula Regression Models for Binary Outcome Regression
Description:

Additive copula regression for regression problems with binary outcome via gradient boosting [Brant, Hobæk Haff (2022); <arXiv:2208.04669>]. The fitting process includes a specialised model selection algorithm for each component, where each component is found (by greedy optimisation) among all the D-vines with only Gaussian pair-copulas of a fixed dimension, as specified by the user. When the variables and structure have been selected, the algorithm then re-fits the component where the pair-copula distributions can be different from Gaussian, if specified.

r-ceterisparibus 0.6
Propagated dependencies: r-gower@1.0.2 r-ggplot2@4.0.1 r-dalex@2.5.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://pbiecek.github.io/ceterisParibus/
Licenses: GPL 2
Build system: r
Synopsis: Ceteris Paribus Profiles
Description:

Ceteris Paribus Profiles (What-If Plots) are designed to present model responses around selected points in a feature space. For example around a single prediction for an interesting observation. Plots are designed to work in a model-agnostic fashion, they are working for any predictive Machine Learning model and allow for model comparisons. Ceteris Paribus Plots supplement the Break Down Plots from breakDown package.

r-cointreg 0.2.0
Propagated dependencies: r-matrixstats@1.5.0 r-mass@7.3-65 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/aschersleben/cointReg
Licenses: GPL 3
Build system: r
Synopsis: Parameter Estimation and Inference in a Cointegrating Regression
Description:

Cointegration methods are widely used in empirical macroeconomics and empirical finance. It is well known that in a cointegrating regression the ordinary least squares (OLS) estimator of the parameters is super-consistent, i.e. converges at rate equal to the sample size T. When the regressors are endogenous, the limiting distribution of the OLS estimator is contaminated by so-called second order bias terms, see e.g. Phillips and Hansen (1990) <DOI:10.2307/2297545>. The presence of these bias terms renders inference difficult. Consequently, several modifications to OLS that lead to zero mean Gaussian mixture limiting distributions have been proposed, which in turn make standard asymptotic inference feasible. These methods include the fully modified OLS (FM-OLS) approach of Phillips and Hansen (1990) <DOI:10.2307/2297545>, the dynamic OLS (D-OLS) approach of Phillips and Loretan (1991) <DOI:10.2307/2298004>, Saikkonen (1991) <DOI:10.1017/S0266466600004217> and Stock and Watson (1993) <DOI:10.2307/2951763> and the new estimation approach called integrated modified OLS (IM-OLS) of Vogelsang and Wagner (2014) <DOI:10.1016/j.jeconom.2013.10.015>. The latter is based on an augmented partial sum (integration) transformation of the regression model. IM-OLS is similar in spirit to the FM- and D-OLS approaches, with the key difference that it does not require estimation of long run variance matrices and avoids the need to choose tuning parameters (kernels, bandwidths, lags). However, inference does require that a long run variance be scaled out. This package provides functions for the parameter estimation and inference with all three modified OLS approaches. That includes the automatic bandwidth selection approaches of Andrews (1991) <DOI:10.2307/2938229> and of Newey and West (1994) <DOI:10.2307/2297912> as well as the calculation of the long run variance.

r-dandefa 1.6.1
Propagated dependencies: r-polycor@0.8-1 r-gplots@3.2.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DandEFA
Licenses: GPL 2
Build system: r
Synopsis: Dandelion Plot for R-Mode Exploratory Factor Analysis
Description:

This package contains the function used to create the Dandelion Plot. Dandelion Plot is a visualization method for R-mode Exploratory Factor Analysis.

r-dssd 1.0.3
Propagated dependencies: r-sf@1.0-23 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dssd
Licenses: GPL 2+
Build system: r
Synopsis: Distance Sampling Survey Design
Description:

This package creates survey designs for distance sampling surveys. These designs can be assessed for various effort and coverage statistics. Once the user is satisfied with the design characteristics they can generate a set of transects to use in their distance sampling survey. Many of the designs implemented in this R package were first made available in our Distance for Windows software and are detailed in Chapter 7 of Advanced Distance Sampling, Buckland et. al. (2008, ISBN-13: 978-0199225873). Find out more about estimating animal/plant abundance with distance sampling at <https://distancesampling.org/>.

r-dhglm 2.0
Propagated dependencies: r-sandwich@3.1-1 r-matrix@1.7-4 r-mass@7.3-65 r-car@3.1-3 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dhglm
Licenses: FSDG-compatible
Build system: r
Synopsis: Double Hierarchical Generalized Linear Models
Description:

This package implements double hierarchical generalized linear models in which the mean, dispersion parameters for variance of random effects, and residual variance (overdispersion) can be further modeled as random-effect models.

r-decomposer 1.0.7
Propagated dependencies: r-usethis@3.2.1 r-tictoc@1.2.1 r-stratigrapher@1.3.1 r-hexbin@1.28.5 r-dplyr@1.1.4 r-colorramps@2.3.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DecomposeR
Licenses: GPL 3
Build system: r
Synopsis: Empirical Mode Decomposition for Cyclostratigraphy
Description:

This package provides tools to apply Ensemble Empirical Mode Decomposition (EEMD) for cyclostratigraphy purposes. Mainly: a new algorithm, extricate, that performs EEMD in seconds, a linear interpolation algorithm using the greatest rational common divisor of depth or time, different algorithms to compute instantaneous amplitude, frequency and ratios of frequencies, and functions to verify and visualise the outputs. The functions were developed during the CRASH project (Checking the Reproducibility of Astrochronology in the Hauterivian). When using for publication please cite Wouters, S., Crucifix, M., Sinnesael, M., Da Silva, A.C., Zeeden, C., Zivanovic, M., Boulvain, F., Devleeschouwer, X., 2022, "A decomposition approach to cyclostratigraphic signal processing". Earth-Science Reviews 225 (103894). <doi:10.1016/j.earscirev.2021.103894>.

r-dramaanalysis 3.0.2
Propagated dependencies: r-xml2@1.5.0 r-tokenizers@0.3.0 r-stringr@1.6.0 r-reshape2@1.4.5 r-readr@2.1.6 r-httr@1.4.7 r-git2r@0.36.2 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/quadrama/DramaAnalysis
Licenses: GPL 3+
Build system: r
Synopsis: Analysis of Dramatic Texts
Description:

Analysis of preprocessed dramatic texts, with respect to literary research. The package provides functions to analyze and visualize information about characters, stage directions, the dramatic structure and the text itself. The dramatic texts are expected to be in CSV format, which can be installed from within the package, sample texts are provided. The package and the reasoning behind it are described in Reiter et al. (2017) <doi:10.18420/in2017_119>.

r-dataexplorer 0.8.4
Propagated dependencies: r-scales@1.4.0 r-rmarkdown@2.30 r-reshape2@1.4.5 r-networkd3@0.4.1 r-gridextra@2.3 r-ggplot2@4.0.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: http://boxuancui.github.io/DataExplorer/
Licenses: Expat
Build system: r
Synopsis: Automate Data Exploration and Treatment
Description:

Automated data exploration process for analytic tasks and predictive modeling, so that users could focus on understanding data and extracting insights. The package scans and analyzes each variable, and visualizes them with typical graphical techniques. Common data processing methods are also available to treat and format data.

r-daime 2.1.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DAIME
Licenses: FSDG-compatible
Build system: r
Synopsis: Effects of Changing Deposition Rates
Description:

Reverse and model the effects of changing deposition rates on geological data and rates. Based on Hohmann (2018) <doi:10.13140/RG.2.2.23372.51841> .

r-damaoi 0.1
Propagated dependencies: r-units@1.0-0 r-tidyr@1.3.1 r-tibble@3.3.0 r-terra@1.8-86 r-smoothr@1.2.1 r-shinydashboard@0.7.3 r-shiny@1.11.1 r-sf@1.0-23 r-magrittr@2.0.4 r-leaflet@2.2.3 r-fnn@1.1.4.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/chrislittleboy/damaoi
Licenses: GPL 3+
Build system: r
Synopsis: Create an 'Area of Interest' Around a Constructed Dam for Comparative Impact Evaluations
Description:

Define a spatial Area of Interest (AOI) around a constructed dam using hydrology data. Dams have environmental and social impacts, both positive and negative. Current analyses of dams have no consistent way to specify at what spatial extent we should evaluate these impacts. damAOI implements methods to adjust reservoir polygons to match satellite-observed surface water areas, plot upstream and downstream rivers using elevation data and accumulated river flow, and draw buffers clipped by river basins around reservoirs and relevant rivers. This helps to consistently determine the areas which could be impacted by dam construction, facilitating comparative analysis and informed infrastructure investments.

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