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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-covests 1.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/AdamBilchouris/CovEsts
Licenses: GPL 3+
Build system: r
Synopsis: Nonparametric Estimators for Covariance Functions
Description:

Several nonparametric estimators of autocovariance functions. Procedures for constructing their confidence regions by using bootstrap techniques. Methods to correct autocovariance estimators and several tools for analysing and comparing them. Supplementary functions, including kernel computations and discrete cosine Fourier transforms. For more details see Bilchouris and Olenko (2025) <doi:10.17713/ajs.v54i1.1975>.

r-commonmean-copula 1.0.4
Propagated dependencies: r-pracma@2.4.6 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=CommonMean.Copula
Licenses: GPL 2
Build system: r
Synopsis: Common Mean Vector under Copula Models
Description:

Estimate bivariate common mean vector under copula models with known correlation. In the current version, available copulas are the Clayton, Gumbel, Frank, Farlie-Gumbel-Morgenstern (FGM), and normal copulas. See Shih et al. (2019) <doi:10.1080/02331888.2019.1581782> and Shih et al. (2021) <under review> for details under the FGM and general copulas, respectively.

r-chronicler 0.3.0
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-maybe@1.1.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-diffobj@0.3.6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=chronicler
Licenses: GPL 3+
Build system: r
Synopsis: Add Logging to Functions
Description:

Decorate functions to make them return enhanced output. The enhanced output consists in an object of type chronicle containing the result of the function applied to its arguments, as well as a log detailing when the function was run, what were its inputs, what were the errors (if the function failed to run) and other useful information. Tools to handle decorated functions are included, such as a forward pipe operator that makes chaining decorated functions possible.

r-compdist 1.0
Propagated dependencies: r-vgam@1.1-13 r-rmutil@1.1.10 r-pearsonds@1.3.2 r-numderiv@2016.8-1.1 r-fextremes@4032.84 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=CompDist
Licenses: GPL 2+
Build system: r
Synopsis: Multisection Composite Distributions
Description:

Computes density function, cumulative distribution function, quantile function and random numbers for a multisection composite distribution specified by the user. Also fits the user specified distribution to a given data set. More details of the package can be found in the following paper submitted to the R journal Wiegand M and Nadarajah S (2017) CompDist: Multisection composite distributions.

r-cognitor 1.0.5
Propagated dependencies: r-shinyjs@2.1.0 r-shiny@1.11.1 r-paws@0.9.0 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4 r-config@0.3.2 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cognitoR
Licenses: GPL 3
Build system: r
Synopsis: Authentication for 'Shiny' Apps with 'Amazon Cognito'
Description:

This package provides authentication for Shiny applications using Amazon Cognito ( <https://aws.amazon.com/es/cognito/>).

r-cluspred 1.1.0
Propagated dependencies: r-vgam@1.1-13 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-quantreg@6.1 r-aldqr@1.0 r-ald@1.3.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://arxiv.org/abs/2012.14159
Licenses: GPL 2+
Build system: r
Synopsis: Simultaneous Semi-Parametric Estimation of Clustering and Regression
Description:

Parameter estimation of regression models with fixed group effects, when the group variable is missing while group-related variables are available. Parametric and semi-parametric approaches described in Marbac et al. (2020) <arXiv:2012.14159> are implemented.

r-capr 0.2.0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/rluo/capr
Licenses: GPL 3
Build system: r
Synopsis: Covariate Assisted Principal Regression
Description:

Covariate Assisted Principal Regression (CAPR) for multiple covariance-matrix outcomes. The method identifies (principal) projection directions that maximize the log-likelihood of a log-linear regression model of the covariates. See Zhao et al. (2021), "Covariate Assisted Principal Regression for Covariance Matrix Outcomes" <doi:10.1093/biostatistics/kxz057>.

r-collin 0.0.4
Propagated dependencies: r-vgam@1.1-13 r-nlme@3.1-168 r-mgcv@1.9-4 r-mass@7.3-65 r-dlnm@2.4.10
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=collin
Licenses: GPL 3
Build system: r
Synopsis: Visualization the Effects of Collinearity in Distributed Lag Models and Other Linear Models
Description:

Tool to assessing whether the results of a study could be influenced by collinearity. Simulations under a given hypothesized truth regarding effects of an exposure on the outcome are used and the resulting curves of lagged effects are visualized. A user's manual is provided, which includes detailed examples (e.g. a cohort study looking for windows of vulnerability to air pollution, a time series study examining the linear association of air pollution with hospital admissions, and a time series study examining the non-linear association between temperature and mortality). The methods are described in Basagana and Barrera-Gomez (2021) <doi:10.1093/ije/dyab179>.

r-cache 0.0.3
Propagated dependencies: r-here@1.0.2 r-digest@0.6.39 r-cli@3.6.5 r-assert@1.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/OlivierBinette/cache
Licenses: Expat
Build system: r
Synopsis: Cache and Retrieve Computation Results
Description:

Easily cache and retrieve computation results. The package works seamlessly across interactive R sessions, R scripts and Rmarkdown documents.

r-clogitboost 1.1
Propagated dependencies: 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=clogitboost
Licenses: GPL 2+
Build system: r
Synopsis: Boosting Conditional Logit Model
Description:

This package provides a set of functions to fit a boosting conditional logit model.

r-clusterstability 1.0.4
Propagated dependencies: r-weightedcluster@2.0 r-rcpp@1.1.0 r-copula@1.1-6 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ClusterStability
Licenses: GPL 3
Build system: r
Synopsis: Assessment of Stability of Individual Objects or Clusters in Partitioning Solutions
Description:

Allows one to assess the stability of individual objects, clusters and whole clustering solutions based on repeated runs of the K-means and K-medoids partitioning algorithms.

r-cttshiny 0.1
Propagated dependencies: r-shinyace@0.4.4 r-shiny@1.11.1 r-psych@2.5.6 r-ltm@1.2-0 r-ctt@2.3.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CTTShiny
Licenses: GPL 3
Build system: r
Synopsis: Classical Test Theory via Shiny
Description:

Interactive shiny application for running classical test theory (item analysis).

r-civ 0.1.0
Propagated dependencies: r-kcmeans@0.1.0 r-aer@1.2-15
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/thomaswiemann/civ
Licenses: GPL 3+
Build system: r
Synopsis: Categorical Instrumental Variables
Description:

Implementation of the categorical instrumental variable (CIV) estimator proposed by Wiemann (2023) <arXiv:2311.17021>. CIV allows for optimal instrumental variable estimation in settings with relatively few observations per category. To obtain valid inference in these challenging settings, CIV leverages a regularization assumption that implies existence of a latent categorical variable with fixed finite support achieving the same first stage fit as the observed instrument.

r-contextfind 1.0.1
Propagated dependencies: r-shiny@1.11.1 r-rstudioapi@0.17.1 r-miniui@0.1.2 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=contextFind
Licenses: CC0
Build system: r
Synopsis: Find Code Snippets with Context and Click to Navigate Directly to Results
Description:

Search across R files with contextual results, highlights and clickable links. Includes an add-in for further workflow enhancement.

r-ceemdanml 0.1.0
Propagated dependencies: r-tseries@0.10-58 r-rlibeemd@1.4.4 r-pso@1.0.4 r-neuralnet@1.44.2 r-lsts@2.1 r-forecast@8.24.0 r-fints@0.4-9 r-fgarch@4052.93 r-earth@5.3.4 r-e1071@1.7-16 r-caret@7.0-1 r-atsa@3.1.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CEEMDANML
Licenses: GPL 3
Build system: r
Synopsis: CEEMDAN Decomposition Based Hybrid Machine Learning Models
Description:

Noise in the time-series data significantly affects the accuracy of the Machine Learning (ML) models (Artificial Neural Network and Support Vector Regression are considered here). Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) decomposes the time series data into sub-series and help to improve the model performance. The models can achieve higher prediction accuracy than the traditional ML models. Two models have been provided here for time series forecasting. More information may be obtained from Garai and Paul (2023) <doi:10.1016/j.iswa.2023.200202>.

r-clusterses 2.6.5
Propagated dependencies: r-sandwich@3.1-1 r-plm@2.6-7 r-mlogit@1.1-3 r-lmtest@0.9-40 r-formula@1.2-5 r-dfidx@0.2-0 r-aer@1.2-15
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=clusterSEs
Licenses: GPL 2+
Build system: r
Synopsis: Calculate Cluster-Robust p-Values and Confidence Intervals
Description:

Calculate p-values and confidence intervals using cluster-adjusted t-statistics (based on Ibragimov and Muller (2010) <DOI:10.1198/jbes.2009.08046>, pairs cluster bootstrapped t-statistics, and wild cluster bootstrapped t-statistics (the latter two techniques based on Cameron, Gelbach, and Miller (2008) <DOI:10.1162/rest.90.3.414>. Procedures are included for use with GLM, ivreg, plm (pooling or fixed effects), and mlogit models.

r-condmvnorm 2025.1
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=condMVNorm
Licenses: GPL 2
Build system: r
Synopsis: Conditional Multivariate Normal Distribution
Description:

Computes conditional multivariate normal densities, probabilities, and random deviates.

r-c3dr 0.2.0
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/ropensci/c3dr
Licenses: Expat
Build system: r
Synopsis: Read and Write C3D Motion Capture Files
Description:

This package provides a wrapper for the EZC3D library to work with C3D motion capture data.

r-colorramp2 0.1.0
Propagated dependencies: r-colorspace@2.1-2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/jokergoo/colorRamp2
Licenses: Expat
Build system: r
Synopsis: Generate Color Mapping Functions
Description:

This package provides a color mapping is generated according to the break values and corresponding colors. Other colors are generated by interpolating in a certain color space. The functions were part of the circlize package <https://CRAN.R-project.org/package=circlize>.

r-configparser 1.0.0
Propagated dependencies: r-r6@2.6.1 r-ini@0.3.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/hhoeflin/ConfigParser
Licenses: GPL 3
Build system: r
Synopsis: Package to Parse an INI File, Including Variable Interpolation
Description:

Enhances the ini package by adding the ability to interpolate variables. The INI configuration file is read into an R6 ConfigParser object (loosely inspired by Pythons ConfigParser module) and the keys can be read, where %(....)s instances are interpolated by other included options or outside variables.

r-covidsymptom 1.0.0
Propagated dependencies: r-usethis@3.2.1 r-stringi@1.8.7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/hugofitipaldi/covidsymptom
Licenses: Expat
Build system: r
Synopsis: COVID Symptom Study Sweden Open Dataset
Description:

The COVID Symptom Study is a non-commercial project that uses a free mobile app to facilitate real-time data collection of symptoms, exposures, and risk factors related to COVID19. The package allows easy access to summary statistics data from COVID Symptom Study Sweden.

r-carecall 0.1.0
Propagated dependencies: r-tibble@3.3.0 r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/WraySmith/caRecall
Licenses: Expat
Build system: r
Synopsis: Government of Canada Vehicle Recalls Database API Wrapper
Description:

This package provides API access to the Government of Canada Vehicle Recalls Database <https://tc.api.canada.ca/en/detail?api=VRDB> used by the Defect Investigations and Recalls Division for vehicles, tires, and child car seats. The API wrapper provides access to recall summary information searched using make, model, and year range, as well as detailed recall information searched using recall number.

r-cgam 1.31
Propagated dependencies: r-zeallot@0.2.0 r-svdialogs@1.1.1 r-statmod@1.5.1 r-splines2@0.5.4 r-rlang@1.1.6 r-quadprog@1.5-8 r-matrix@1.7-4 r-mass@7.3-65 r-lme4@1.1-37 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-coneproj@1.23
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cgam
Licenses: GPL 2+
Build system: r
Synopsis: Constrained Generalized Additive Model
Description:

This package provides a constrained generalized additive model is fitted by the cgam routine. Given a set of predictors, each of which may have a shape or order restrictions, the maximum likelihood estimator for the constrained generalized additive model is found using an iteratively re-weighted cone projection algorithm. The ShapeSelect routine chooses a subset of predictor variables and describes the component relationships with the response. For each predictor, the user needs only specify a set of possible shape or order restrictions. A model selection method chooses the shapes and orderings of the relationships as well as the variables. The cone information criterion (CIC) is used to select the best combination of variables and shapes. A genetic algorithm may be used when the set of possible models is large. In addition, the cgam routine implements a two-dimensional isotonic regression using warped-plane splines without additivity assumptions. It can also fit a convex or concave regression surface with triangle splines without additivity assumptions. See Liao X, Meyer MC (2019)<doi:10.18637/jss.v089.i05> for more details.

r-czechrates 0.2.5
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-readr@2.1.6 r-magrittr@2.0.4 r-httr@1.4.7 r-dplyr@1.1.4 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/jla-data/czechrates
Licenses: Expat
Build system: r
Synopsis: Czech Interest & Foreign Exchange Rates
Description:

Interface to interest and foreign exchange rates published by the Czech National Bank.

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