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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-cvcovest 1.2.2
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-rspectra@0.16-2 r-rmtstat@0.3.1 r-rlang@1.1.6 r-rdpack@2.6.4 r-rcolorbrewer@1.1-3 r-purrr@1.2.0 r-origami@1.0.7 r-matrixstats@1.5.0 r-matrix@1.7-4 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-coop@0.6-3 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/PhilBoileau/cvCovEst
Licenses: Expat
Build system: r
Synopsis: Cross-Validated Covariance Matrix Estimation
Description:

An efficient cross-validated approach for covariance matrix estimation, particularly useful in high-dimensional settings. This method relies upon the theory of high-dimensional loss-based covariance matrix estimator selection developed by Boileau et al. (2022) <doi:10.1080/10618600.2022.2110883> to identify the optimal estimator from among a prespecified set of candidates.

r-cbl 0.1.3
Propagated dependencies: r-lightgbm@4.6.0 r-glmnet@4.1-10 r-foreach@1.5.2 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/dswatson/cbl
Licenses: GPL 3+
Build system: r
Synopsis: Causal Discovery under a Confounder Blanket
Description:

This package provides methods for learning causal relationships among a set of foreground variables X based on signals from a (potentially much larger) set of background variables Z, which are known non-descendants of X. The confounder blanket learner (CBL) uses sparse regression techniques to simultaneously perform many conditional independence tests, with complementary pairs stability selection to guarantee finite sample error control. CBL is sound and complete with respect to a so-called "lazy oracle", and works with both linear and nonlinear systems. For details, see Watson & Silva (2022) <arXiv:2205.05715>.

r-ca3variants 3.3.1
Propagated dependencies: r-plotly@4.11.0 r-multichull@3.0.1 r-gridextra@2.3 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-ggforce@0.5.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://www.R-project.org
Licenses: GPL 3+
Build system: r
Synopsis: Three-Way Correspondence Analysis Variants
Description:

This package provides four variants of three-way correspondence analysis (ca): three-way symmetrical ca, three-way non-symmetrical ca, three-way ordered symmetrical ca and three-way ordered non-symmetrical ca.

r-compute-es 0.2-6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://acdelre.github.io/apps/compute_es/
Licenses: GPL 2
Build system: r
Synopsis: Compute Effect Sizes
Description:

Several functions are available for calculating the most widely used effect sizes (ES), along with their variances, confidence intervals and p-values. The output includes ES's of d (mean difference), g (unbiased estimate of d), r (correlation coefficient), z (Fisher's z), and OR (odds ratio and log odds ratio). In addition, NNT (number needed to treat), U3, CLES (Common Language Effect Size) and Cliff's Delta are computed. This package uses recommended formulas as described in The Handbook of Research Synthesis and Meta-Analysis (Cooper, Hedges, & Valentine, 2009). A free web application is available at <https://acdelre.github.io/apps/compute_es/>.

r-cctest 2.3.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cctest
Licenses: Expat FSDG-compatible
Build system: r
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-codebook 0.10.1
Propagated dependencies: r-vctrs@0.6.5 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-skimr@2.2.2 r-rmdpartials@0.6.5 r-rlang@1.1.6 r-purrr@1.2.0 r-likert@1.3.5.1 r-labelled@2.16.0 r-labeling@0.4.3 r-knitr@1.50 r-jsonlite@2.0.0 r-htmltools@0.5.8.1 r-haven@2.5.5 r-glue@1.8.0 r-ggplot2@4.0.1 r-future@1.68.0 r-forcats@1.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://rubenarslan.github.io/codebook/
Licenses: Expat
Build system: r
Synopsis: Automatic Codebooks from Metadata Encoded in Dataset Attributes
Description:

Easily automate the following tasks to describe data frames: Summarise the distributions, and labelled missings of variables graphically and using descriptive statistics. For surveys, compute and summarise reliabilities (internal consistencies, retest, multilevel) for psychological scales. Combine this information with metadata (such as item labels and labelled values) that is derived from R attributes. To do so, the package relies on rmarkdown partials, so you can generate HTML, PDF, and Word documents. Codebooks are also available as tables (CSV, Excel, etc.) and in JSON-LD, so that search engines can find your data and index the metadata. The metadata are also available at your fingertips via RStudio Addins.

r-chest 0.3.7
Propagated dependencies: r-tibble@3.3.0 r-survival@3.8-3 r-mass@7.3-65 r-ggplot2@4.0.1 r-forestplot@3.1.7 r-dplyr@1.1.4 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=chest
Licenses: GPL 2
Build system: r
Synopsis: Change-in-Estimate Approach to Assess Confounding Effects
Description:

Applies the change-in-effect estimate method to assess confounding effects in medical and epidemiological research (Greenland & Pearce (2016) <doi:10.1146/annurev-publhealth-031914-122559> ). It starts with a crude model including only the outcome and exposure variables. At each of the subsequent steps, one variable which creates the largest change among the remaining variables is selected. This process is repeated until all variables have been entered into the model (Wang Z. Stata Journal 2007; 7, Number 2, pp. 183â 196). Currently, the chest package has functions for linear regression, logistic regression, negative binomial regression, Cox proportional hazards model and conditional logistic regression.

r-cryst 0.1.0
Propagated dependencies: r-pracma@2.4.6 r-flux@0.3-0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cryst
Licenses: GPL 2
Build system: r
Synopsis: Calculate the Relative Crystallinity of Starch by XRD and FTIR
Description:

This package provides functions to calculate the relative crystallinity of starch by X-ray Diffraction (XRD) and Infrared Spectroscopy (FTIR). Starch is biosynthesized by plants in the form of granules semicrystalline. For XRD, the relative crystallinity is obtained by separating the crystalline peaks from the amorphous scattering region. For FTIR, the relative crystallinity is achieved by setting of a Gaussian holocrystalline-peak in the 800-1300 cm-1 region of FTIR spectrum of starch which is divided into amorphous region and crystalline region. The relative crystallinity of native starch granules varies from 14 of 45 percent. This package was supported by FONDECYT 3150630 and CIPA Conicyt-Regional R08C1002 is gratefully acknowledged.

r-creditrisk 0.1.7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CreditRisk
Licenses: Expat
Build system: r
Synopsis: Evaluation of Credit Risk with Structural and Reduced Form Models
Description:

Evaluation of default probability of sovereign and corporate entities based on structural or intensity based models and calibration on market Credit Default Swap quotes. References: Damiano Brigo, Massimo Morini, Andrea Pallavicini (2013) <doi:10.1002/9781118818589>. Print ISBN: 9780470748466, Online ISBN: 9781118818589. © 2013 John Wiley & Sons Ltd.

r-cpa 1.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cpa
Licenses: GPL 2+
Build system: r
Synopsis: Confirmatory Path Analysis Through 'd-sep' Tests
Description:

This package provides functions to test and compare causal models using Confirmatory Path Analysis.

r-contfracr 1.2.1
Propagated dependencies: r-rmpfr@1.1-2 r-go2bigq@2.0.1 r-gmp@0.7-5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=contFracR
Licenses: LGPL 3
Build system: r
Synopsis: Continued Fraction Generators and Evaluators
Description:

Converts numbers to continued fractions and back again. A solver for Pell's Equation is provided. The method for calculating roots in continued fraction form is provided without published attribution in such places as Professor Emeritus Jonathan Lubin, <http://www.math.brown.edu/jlubin/> and his post to StackOverflow, <https://math.stackexchange.com/questions/2215918> , or Professor Ron Knott, e.g., <https://r-knott.surrey.ac.uk/Fibonacci/cfINTRO.html> .

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-cffr 1.2.1
Propagated dependencies: r-yaml@2.3.10 r-jsonvalidate@1.5.0 r-jsonlite@2.0.0 r-desc@1.4.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://docs.ropensci.org/cffr/
Licenses: GPL 3+
Build system: r
Synopsis: Generate Citation File Format ('cff') Metadata for R Packages
Description:

The Citation File Format version 1.2.0 <doi:10.5281/zenodo.5171937> is a human and machine readable file format which provides citation metadata for software. This package provides core utilities to generate and validate this metadata.

r-cloudstor 0.2.0
Propagated dependencies: r-xml@3.99-0.20 r-rio@1.2.4 r-keyring@1.4.1 r-httr@1.4.7 r-getpass@0.2-4 r-curl@7.0.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://pdparker.github.io/cloudstoR/
Licenses: GPL 3+
Build system: r
Synopsis: Simplifies Access to Cloudstor API
Description:

Access Cloudstor via their WebDAV API. This package can read, write, and navigate Cloudstor from R.

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-clear 0.0.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/joundso/cleaR
Licenses: GPL 3
Build system: r
Synopsis: Clean the R Console and Environment
Description:

Small package to clean the R console and the R environment with the call of just one function.

r-cstime 2025.10.13
Propagated dependencies: r-magrittr@2.0.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://www.csids.no/cstime/
Licenses: Expat
Build system: r
Synopsis: Date and Time Functions for Public Health Purposes
Description:

This package provides easy and consistent time conversion for public health purposes. The time conversion functions provided here are between date, ISO week, ISO yearweek, ISO year, calendar month/year, season, season week.

r-cpe 1.6.3
Propagated dependencies: r-survival@3.8-3 r-rms@8.1-0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CPE
Licenses: GPL 2+
Build system: r
Synopsis: Concordance Probability Estimates in Survival Analysis
Description:

Concordance probability estimate (CPE) is a commonly used performance measure in survival analysis that evaluates the predictive accuracy of a survival model. It measures how well a model can distinguish between pairs of individuals with different survival times. Specifically, it calculate the proportion of all pairs of individuals whose predicted survival times are correctly ordered.

r-catcont 0.5.0
Propagated dependencies: 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=catcont
Licenses: GPL 2 FSDG-compatible
Build system: r
Synopsis: Test, Identify, Select and Mutate Categorical or Continuous Values
Description:

This package provides methods and utilities for testing, identifying, selecting and mutating objects as categorical or continous types. These functions work on both atomic vectors as well as recursive objects: data.frames, data.tables, tibbles, lists, etc..

r-catr 3.17
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=catR
Licenses: GPL 3+
Build system: r
Synopsis: Generation of IRT Response Patterns under Computerized Adaptive Testing
Description:

This package provides routines for the generation of response patterns under unidimensional dichotomous and polytomous computerized adaptive testing (CAT) framework. It holds many standard functions to estimate ability, select the first item(s) to administer and optimally select the next item, as well as several stopping rules. Options to control for item exposure and content balancing are also available (Magis and Barrada (2017) <doi:10.18637/jss.v076.c01>).

r-castgen 1.0.2
Propagated dependencies: r-vcfr@1.15.0 r-rdpack@2.6.4 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/alex-sandercock/castgen
Licenses: FSDG-compatible
Build system: r
Synopsis: Estimate Sample Size for Population Genomic Studies
Description:

Estimate sample sizes needed to capture target levels of genetic diversity from a population (multivariate allele frequencies) for applications like germplasm conservation and breeding efforts. Compares bootstrap samples to a full population using linear regression, employing the R-squared value to represent the proportion of diversity captured. Iteratively increases sample size until a user-defined target R-squared is met. Offers a parallelized R implementation of a previously developed python method. All ploidy levels are supported. For more details, see Sandercock et al. (2024) <doi:10.1073/pnas.2403505121>.

r-cropdatape 1.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/omarbenites/cropdatape
Licenses: Expat
Build system: r
Synopsis: Open Data of Agricultural Production of Crops of Peru
Description:

This package provides peruvian agricultural production data from the Agriculture Minestry of Peru (MINAGRI). The first version includes 6 crops: rice, quinoa, potato, sweet potato, tomato and wheat; all of them across 24 departments. Initially, in excel files which has been transformed and assembled using tidy data principles, i.e. each variable is in a column, each observation is a row and each value is in a cell. The variables variables are sowing and harvest area per crop, yield, production and price per plot, every one year, from 2004 to 2014.

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-condmvt 0.1.1
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=CondMVT
Licenses: Expat
Build system: r
Synopsis: Conditional Multivariate t Distribution, Expectation Maximization Algorithm, and Its Stochastic Variants
Description:

Computes conditional multivariate t probabilities, random deviates, and densities. It can also be used to create missing values at random in a dataset, resulting in a missing at random (MAR) mechanism. Inbuilt in the package are the Expectation-Maximization (EM), Monte Carlo EM, and Stochastic EM algorithms for imputation of missing values in datasets assuming the multivariate t distribution. See Kinyanjui, Tamba, Orawo, and Okenye (2020)<doi:10.3233/mas-200493>, and Kinyanjui, Tamba, and Okenye(2021)<http://www.ceser.in/ceserp/index.php/ijamas/article/view/6726/0> for more details.

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