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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-coinprofile 0.1.9
Propagated dependencies: r-zoo@1.8-14 r-rdpack@2.6.4 r-plyr@1.8.9 r-ggplot2@4.0.1 r-exactranktests@0.8-35 r-coin@1.4-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/WilmerMartinezR/Coinprofile
Licenses: GPL 2
Build system: r
Synopsis: Coincident Profile
Description:

Builds the coincident profile proposed by Martinez, W and Nieto, Fabio H and Poncela, P (2016) <doi:10.1016/j.spl.2015.11.008>. This methodology studies the relationship between a couple of time series based on the the set of turning points of each time series. The coincident profile establishes if two time series are coincident, or one of them leads the second.

r-catmaply 0.9.5
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-plotly@4.11.0 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/VerkehrsbetriebeZuerich/catmaply
Licenses: Expat
Build system: r
Synopsis: Heatmap for Categorical Data using 'plotly'
Description:

This package provides methods and plotting functions for displaying categorical data on an interactive heatmap using plotly'. Provides functionality for strictly categorical heatmaps, heatmaps illustrating categorized continuous data and annotated heatmaps. Also, there are various options to interact with the x-axis to prevent overlapping axis labels, e.g. via simple sliders or range sliders. Besides the viewer pane, resulting plots can be saved as a standalone HTML file, embedded in R Markdown documents or in a Shiny app.

r-cargo 0.4.9
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/dbdahl/cargo-framework
Licenses: Expat ASL 2.0
Build system: r
Synopsis: Develop R Packages using Rust
Description:

This package provides a framework is provided to develop R packages using Rust <https://www.rust-lang.org/> with minimal overhead, and more wrappers are easily added. Help is provided to use Cargo <https://doc.rust-lang.org/cargo/> in a manner consistent with CRAN policies. Rust code can also be embedded directly in an R script. The package is not official, affiliated with, nor endorsed by the Rust project.

r-chillr 0.77
Propagated dependencies: r-xml@3.99-0.20 r-tidyr@1.3.1 r-stringr@1.6.0 r-scales@1.4.0 r-rmawgen@1.3.9.3 r-rlang@1.1.6 r-reshape2@1.4.5 r-readxl@1.4.5 r-rcurl@1.98-1.17 r-rcpp@1.1.0 r-raster@3.6-32 r-r-utils@2.13.0 r-purrr@1.2.0 r-progress@1.2.3 r-plyr@1.8.9 r-pls@2.8-5 r-patchwork@1.3.2 r-metr@0.18.3 r-magrittr@2.0.4 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-ggplot2@4.0.1 r-gensa@1.1.15 r-fields@17.1 r-ecmwfr@2.0.3 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=chillR
Licenses: GPL 3
Build system: r
Synopsis: Statistical Methods for Phenology Analysis in Temperate Fruit Trees
Description:

The phenology of plants (i.e. the timing of their annual life phases) depends on climatic cues. For temperate trees and many other plants, spring phases, such as leaf emergence and flowering, have been found to result from the effects of both cool (chilling) conditions and heat. Fruit tree scientists (pomologists) have developed some metrics to quantify chilling and heat (e.g. see Luedeling (2012) <doi:10.1016/j.scienta.2012.07.011>). chillR contains functions for processing temperature records into chilling (Chilling Hours, Utah Chill Units and Chill Portions) and heat units (Growing Degree Hours). Regarding chilling metrics, Chill Portions are often considered the most promising, but they are difficult to calculate. This package makes it easy. chillR also contains procedures for conducting a PLS analysis relating phenological dates (e.g. bloom dates) to either mean temperatures or mean chill and heat accumulation rates, based on long-term weather and phenology records (Luedeling and Gassner (2012) <doi:10.1016/j.agrformet.2011.10.020>). As of version 0.65, it also includes functions for generating weather scenarios with a weather generator, for conducting climate change analyses for temperature-based climatic metrics and for plotting results from such analyses. Since version 0.70, chillR contains a function for interpolating hourly temperature records.

r-circhelp 1.1
Propagated dependencies: r-patchwork@1.3.2 r-mathjaxr@1.8-0 r-mass@7.3-65 r-ggplot2@4.0.1 r-gamlss@5.5-0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://achetverikov.github.io/circhelp/index.html
Licenses: CC0
Build system: r
Synopsis: Circular Analyses Helper Functions
Description:

Light-weight functions for computing descriptive statistics in different circular spaces (e.g., 2pi, 180, or 360 degrees), to handle angle-dependent biases, pad circular data, and more. Specifically aimed for psychologists and neuroscientists analyzing circular data. Basic methods are based on Jammalamadaka and SenGupta (2001) <doi:10.1142/4031>, removal of cardinal biases is based on the approach introduced in van Bergen, Ma, Pratte, & Jehee (2015) <doi:10.1038/nn.4150> and Chetverikov and Jehee (2023) <doi:10.1038/s41467-023-43251-w>.

r-covsim 1.1.0
Propagated dependencies: r-tmvtnorm@1.7 r-rvinecopulib@0.7.3.1.0 r-pearsonds@1.3.2 r-nleqslv@3.3.5 r-matrix@1.7-4 r-mass@7.3-65 r-lavaan@0.6-20
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=covsim
Licenses: GPL 2+
Build system: r
Synopsis: VITA, IG and PLSIM Simulation for Given Covariance and Marginals
Description:

Random sampling from distributions with user-specified population covariance matrix. Marginal information may be fully specified, for which the package implements the VITA (VIne-To-Anything) algorithm Grønneberg and Foldnes (2017) <doi:10.1007/s11336-017-9569-6>. See also Grønneberg, Foldnes and Marcoulides (2022) <doi:10.18637/jss.v102.i03>. Alternatively, marginal skewness and kurtosis may be specified, for which the package implements the IG (independent generator) and PLSIM (piecewise linear) algorithms, see Foldnes and Olsson (2016) <doi:10.1080/00273171.2015.1133274> and Foldnes and Grønneberg (2021) <doi:10.1080/10705511.2021.1949323>, respectively.

r-cata 0.1.1.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://CRAN.R-project.org/package=cata
Licenses: GPL 2+
Build system: r
Synopsis: Analysis of Check-All-that-Apply (CATA) Data
Description:

Package contains functions for analyzing check-all-that-apply (CATA) data from consumer and sensory tests. Cochran's Q test, McNemar's test, and Penalty-Lift analysis are provided; for details, see Meyners, Castura & Carr (2013) <doi:10.1016/j.foodqual.2013.06.010>. Cluster analysis can be performed using b-cluster analysis, then evaluated using various measures; for details, see Castura, Meyners, Varela & Næs (2022) <doi:10.1016/j.foodqual.2022.104564>. Consumers can also be clustered on their product-related hedonic responses; see Castura, Meyners, Pohjanheimo, Varela & Næs (2023) <doi:10.1111/joss.12860>. Permutation tests based on the L1-norm methods are provided; for details, see Chaya, Castura & Greenacre (2025) <doi:10.1016/j.foodqual.2025.105639>.

r-cffdrs 1.9.2
Propagated dependencies: r-terra@1.8-86 r-sf@1.0-23 r-geosphere@1.5-20 r-foreach@1.5.2 r-doparallel@1.0.17 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/cffdrs/cffdrs_r
Licenses: GPL 2
Build system: r
Synopsis: Canadian Forest Fire Danger Rating System
Description:

This project provides a group of new functions to calculate the outputs of the two main components of the Canadian Forest Fire Danger Rating System (CFFDRS) Van Wagner and Pickett (1985) <https://ostrnrcan-dostrncan.canada.ca/entities/publication/29706108-2891-4e5d-a59a-a77c96bc507c>) at various time scales: the Fire Weather Index (FWI) System Wan Wagner (1985) <https://ostrnrcan-dostrncan.canada.ca/entities/publication/d96e56aa-e836-4394-ba29-3afe91c3aa6c> and the Fire Behaviour Prediction (FBP) System Forestry Canada Fire Danger Group (1992) <https://cfs.nrcan.gc.ca/pubwarehouse/pdfs/10068.pdf>. Some functions have two versions, table and raster based.

r-cseqpat 0.1.2
Propagated dependencies: r-tm@0.7-16 r-nlp@0.3-2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CSeqpat
Licenses: Expat
Build system: r
Synopsis: Frequent Contiguous Sequential Pattern Mining of Text
Description:

Mines contiguous sequential patterns in text.

r-coalescentmcmc 0.4-4
Propagated dependencies: r-phangorn@2.12.1 r-matrix@1.7-4 r-lattice@0.22-7 r-coda@0.19-4.1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=coalescentMCMC
Licenses: GPL 2+
Build system: r
Synopsis: MCMC Algorithms for the Coalescent
Description:

Flexible framework for coalescent analyses in R. It includes a main function running the MCMC algorithm, auxiliary functions for tree rearrangement, and some functions to compute population genetic parameters. Extended description can be found in Paradis (2020) <doi:10.1201/9780429466700>. For details on the MCMC algorithm, see Kuhner et al. (1995) <doi:10.1093/genetics/140.4.1421> and Drummond et al. (2002) <doi:10.1093/genetics/161.3.1307>.

r-c2c 0.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/mitchest/c2c/
Licenses: GPL 3
Build system: r
Synopsis: Compare Two Classifications or Clustering Solutions of Varying Structure
Description:

Compare two classifications or clustering solutions that may or may not have the same number of classes, and that might have hard or soft (fuzzy, probabilistic) membership. Calculate various metrics to assess how the clusters compare to each other. The calculations are simple, but provide a handy tool for users unfamiliar with matrix multiplication. This package is not geared towards traditional accuracy assessment for classification/ mapping applications - the motivating use case is for comparing a probabilistic clustering solution to a set of reference or existing class labels that could have any number of classes (that is, without having to degrade the probabilistic clustering to hard classes).

r-clamr 2.1-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ClamR
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Time Series Modeling for Climate Change Proxies
Description:

Implementation of the Wilkinson and Ivany (2002) approach to paleoclimate analysis, applied to isotope data extracted from clams.

r-ctnote 0.1.0
Propagated dependencies: r-stringr@1.6.0 r-stringi@1.8.7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://ctn-0094.github.io/CTNote/
Licenses: GPL 3
Build system: r
Synopsis: CTN Outcomes, Treatments, and Endpoints
Description:

The Clinical Trials Network (CTN) of the U.S. National Institute of Drug Abuse sponsored the CTN-0094 research team to harmonize data sets from three nationally-representative clinical trials for opioid use disorder (OUD). The CTN-0094 team herein provides a coded collection of trial outcomes and endpoints used in various OUD clinical trials over the past 50 years. These coded outcome functions are used to contrast and cluster different clinical outcome functions based on daily or weekly patient urine screenings. Note that we abbreviate urine drug screen as "UDS" and urine opioid screen as "UOS". For the example data sets (based on clinical trials data harmonized by the CTN-0094 research team), UDS and UOS are largely interchangeable.

r-catool 1.0.1
Propagated dependencies: r-tibble@3.3.0 r-scales@1.4.0 r-rlang@1.1.6 r-purrr@1.2.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/dawit3000/catool
Licenses: AGPL 3
Build system: r
Synopsis: Compensation Analysis Tool for Instructor Overload Pay
Description:

Calculates equitable overload compensation for college instructors based on institutional policies, enrollment thresholds, and regular teaching load limits. Compensation is awarded only for credit hours that exceed the regular load and meet minimum enrollment criteria. When enrollment is below a specified threshold, pay is prorated accordingly. The package prioritizes compensation from high-enrollment courses, or optionally from low-enrollment courses for fairness, depending on user-defined strategy. Includes tools for flexible policy settings, instructor filtering, and produces clean, audit-ready summary tables suitable for payroll and administrative reporting.

r-circer 1.3.3
Dependencies: openjdk@25
Propagated dependencies: r-rjsonio@2.0.0 r-rjava@1.0-11
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://ohdsi.github.io/CirceR/
Licenses: ASL 2.0
Build system: r
Synopsis: Construct Cohort Inclusion and Restriction Criteria Expressions
Description:

Wraps the CIRCE (<https://github.com/ohdsi/circe-be>) Java library allowing cohort definition expressions to be edited and converted to Markdown or SQL'.

r-cpfa 1.2-6
Propagated dependencies: r-xgboost@1.7.11.1 r-rda@1.2-1 r-randomforest@4.7-1.2 r-nnet@7.3-20 r-multiway@1.0-7 r-glmnet@4.1-10 r-foreach@1.5.2 r-e1071@1.7-16 r-dorng@1.8.6.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cpfa
Licenses: GPL 2+
Build system: r
Synopsis: Classification with Parallel Factor Analysis
Description:

Classification using Richard A. Harshman's Parallel Factor Analysis-1 (Parafac) model or Parallel Factor Analysis-2 (Parafac2) model fit to a three-way or four-way data array. See Harshman and Lundy (1994): <doi:10.1016/0167-9473(94)90132-5>. Uses component weights from one mode of a Parafac or Parafac2 model as features to tune parameters for one or more classification methods via a k-fold cross-validation procedure. Allows for constraints on different tensor modes. Supports penalized logistic regression, support vector machine, random forest, feed-forward neural network, regularized discriminant analysis, and gradient boosting machine. Supports binary and multiclass classification. Predicts class labels or class probabilities and calculates multiple classification performance measures. Implements parallel computing via the parallel', doParallel', and doRNG packages.

r-cisp 0.2.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-sf@1.0-23 r-sdsfun@0.8.1 r-purrr@1.2.0 r-magrittr@2.0.4 r-igraph@2.2.1 r-ggraph@2.2.2 r-ggplot2@4.0.1 r-gdverse@1.6 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://stscl.github.io/cisp/
Licenses: GPL 3
Build system: r
Synopsis: Correlation Indicator Based on Spatial Patterns
Description:

Utilizes spatial association marginal contributions derived from spatial stratified heterogeneity to capture the degree of correlation between spatial patterns.

r-constants 2022.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/r-quantities/constants
Licenses: Expat
Build system: r
Synopsis: Reference on Constants, Units and Uncertainty
Description:

CODATA internationally recommended values of the fundamental physical constants, provided as symbols for direct use within the R language. Optionally, the values with uncertainties and/or units are also provided if the errors', units and/or quantities packages are installed. The Committee on Data for Science and Technology (CODATA) is an interdisciplinary committee of the International Council for Science which periodically provides the internationally accepted set of values of the fundamental physical constants. This package contains the "2022 CODATA" version, published on May 2024: Eite Tiesinga, Peter J. Mohr, David B. Newell, and Barry N. Taylor (2024) <https://physics.nist.gov/cuu/Constants/>.

r-configr 0.3.5
Propagated dependencies: r-yaml@2.3.10 r-stringr@1.6.0 r-rcpptoml@0.2.3 r-jsonlite@2.0.0 r-ini@0.3.1 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/Miachol/configr
Licenses: Expat
Build system: r
Synopsis: An Implementation of Parsing and Writing Configuration File (JSON/INI/YAML/TOML)
Description:

This package implements the JSON, INI, YAML and TOML parser for R setting and writing of configuration file. The functionality of this package is similar to that of package config'.

r-cba 0.2-25
Propagated dependencies: r-proxy@0.4-27
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cba
Licenses: GPL 2
Build system: r
Synopsis: Clustering for Business Analytics
Description:

This package implements clustering techniques such as Proximus and Rock, utility functions for efficient computation of cross distances and data manipulation.

r-colf 0.1.3
Propagated dependencies: r-nlsr@2023.8.31
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/LyzandeR/colf
Licenses: Expat
Build system: r
Synopsis: Constrained Optimization on Linear Function
Description:

This package performs least squares constrained optimization on a linear objective function. It contains a number of algorithms to choose from and offers a formula syntax similar to lm().

r-coxr2 1.0
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CoxR2
Licenses: GPL 2
Build system: r
Synopsis: R-Squared Measure Based on Partial LR Statistic, for the Cox PH Regression Model
Description:

Calculate the R-squared, aka explained randomness, based on the partial likelihood ratio statistic under the Cox Proportional Hazard model [J O'Quigley, R Xu, J Stare (2005) <doi:10.1002/sim.1946>].

r-certara-rsnlme-modelbuilder 3.0.1
Propagated dependencies: r-shinywidgets@0.9.0 r-shinymeta@0.2.1 r-shinyjs@2.1.0 r-shinyace@0.4.4 r-shiny@1.11.1 r-magrittr@2.0.4 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-ggplot2@4.0.1 r-ggforce@0.5.0 r-fs@1.6.6 r-dt@0.34.0 r-data-table@1.17.8 r-certara-rsnlme@3.1.0.1 r-bslib@0.9.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://certara.github.io/R-RsNLME-model-builder/
Licenses: LGPL 3
Build system: r
Synopsis: Pharmacometric Model Building Using 'shiny'
Description:

Develop Nonlinear Mixed Effects (NLME) models for pharmacometrics using a shiny interface. The Pharmacometric Modeling Language (PML) code updates in real time given changes to user inputs. Models can be executed using the Certara.RsNLME package. Additional support to generate the underlying Certara.RsNLME code to recreate the corresponding model in R is provided in the user interface.

r-causaldata 0.1.4
Propagated dependencies: r-tibble@3.3.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/NickCH-K/causaldata
Licenses: Expat
Build system: r
Synopsis: Example Data Sets for Causal Inference Textbooks
Description:

Example data sets to run the example problems from causal inference textbooks. Currently, contains data sets for Huntington-Klein, Nick (2021 and 2025) "The Effect" <https://theeffectbook.net>, first and second edition, Cunningham, Scott (2021 and 2025, ISBN-13: 978-0-300-25168-5) "Causal Inference: The Mixtape", and Hernán, Miguel and James Robins (2020) "Causal Inference: What If" <https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/>.

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