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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-calsim 0.5.4
Propagated dependencies: r-spatstat-geom@3.6-1 r-spatstat@3.4-1 r-exactmultinom@0.1.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CalSim
Licenses: GPL 2
Build system: r
Synopsis: The Calibration Simplex
Description:

Generates the calibration simplex (a generalization of the reliability diagram) for three-category probability forecasts, as proposed by Wilks (2013) <doi:10.1175/WAF-D-13-00027.1>.

r-cogmapr 0.9.5
Propagated dependencies: r-tidyr@1.3.1 r-rgraphviz@2.54.0 r-magrittr@2.0.4 r-graph@1.88.0 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://frdvnw.gitlab.io/cogmapr/
Licenses: GPL 3
Build system: r
Synopsis: Cognitive Mapping Tools Based on Coding of Textual Sources
Description:

This package provides functions for building cognitive maps based on qualitative data. Inputs are textual sources (articles, transcription of qualitative interviews of agents,...). These sources have been coded using relations and are linked to (i) a table describing the variables (or concepts) used for the coding and (ii) a table describing the sources (typology of agents, ...). Main outputs are Individual Cognitive Maps (ICM), Social Cognitive Maps (all sources or group of sources) and a list of quotes linked to relations. This package is linked to the work done during the PhD of Frederic M. Vanwindekens (CRA-W / UCL) hold the 13 of May 2014 at University of Louvain in collaboration with the Walloon Agricultural Research Centre (project MIMOSA, MOERMAN fund).

r-cdse 0.3.0
Propagated dependencies: r-terra@1.8-86 r-sf@1.0-23 r-lutz@0.3.2 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-httr2@1.2.1 r-geojsonsf@2.0.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://zivankaraman.github.io/CDSE/
Licenses: AGPL 3
Build system: r
Synopsis: 'Copernicus Data Space Ecosystem' API Wrapper
Description:

This package provides interface to the Copernicus Data Space Ecosystem API <https://dataspace.copernicus.eu/analyse/apis>, mainly for searching the catalog of available data from Copernicus Sentinel missions and obtaining the images for just the area of interest based on selected spectral bands. The package uses the Sentinel Hub REST API interface <https://dataspace.copernicus.eu/analyse/apis/sentinel-hub> that provides access to various satellite imagery archives. It allows you to access raw satellite data, rendered images, statistical analysis, and other features. This package is in no way officially related to or endorsed by Copernicus.

r-cover 1.1.0
Dependencies: gsl@2.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=COveR
Licenses: GPL 2+
Build system: r
Synopsis: Clustering with Overlaps
Description:

Provide functions for overlaps clustering, fuzzy clustering and interval-valued data manipulation. The package implement the following algorithms: OKM (Overlapping Kmeans) from Cleuziou, G. (2007) <doi:10.1109/icpr.2008.4761079> ; NEOKM (Non-exhaustive overlapping Kmeans) from Whang, J. J., Dhillon, I. S., and Gleich, D. F. (2015) <doi:10.1137/1.9781611974010.105> ; Fuzzy Cmeans from Bezdek, J. C. (1981) <doi:10.1007/978-1-4757-0450-1> ; Fuzzy I-Cmeans from de A.T. De Carvalho, F. (2005) <doi:10.1016/j.patrec.2006.08.014>.

r-cattexact 0.1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CATTexact
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Computation of the p-Value for the Exact Conditional Cochran-Armitage Trend Test
Description:

This package provides functions for computing the one-sided p-values of the Cochran-Armitage trend test statistic for the asymptotic and the exact conditional test. The computation of the p-value for the exact test is performed using an algorithm following an idea by Mehta, et al. (1992) <doi:10.2307/1390598>.

r-covidprobability 0.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/eebrown/covidprobability
Licenses: GPL 3
Build system: r
Synopsis: Estimate the Unit-Wide Probability of COVID-19
Description:

We propose a method to estimate the probability of an undetected case of COVID-19 in a defined setting, when a given number of people have been exposed, with a given pretest probability of having COVID-19 as a result of that exposure. Since we are interested in undetected COVID-19, we assume no person has developed symptoms (which would warrant further investigation) and that everyone was tested on a given day, and all tested negative.

r-constellation 0.2.0
Propagated dependencies: r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/marksendak/constellation
Licenses: GPL 2+
Build system: r
Synopsis: Identify Event Sequences Using Time Series Joins
Description:

Examine any number of time series data frames to identify instances in which various criteria are met within specified time frames. In clinical medicine, these types of events are often called "constellations of signs and symptoms", because a single condition depends on a series of events occurring within a certain amount of time of each other. This package was written to work with any number of time series data frames and is optimized for speed to work well with data frames with millions of rows.

r-cardiodatasets 0.2.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/lightbluetitan/cardiodatasets
Licenses: GPL 3
Build system: r
Synopsis: Comprehensive Collection of Cardiovascular and Heart Disease Datasets
Description:

Offers a diverse collection of datasets focused on cardiovascular and heart disease research, including heart failure, myocardial infarction, aortic dissection, transplant outcomes, cardiovascular risk factors, drug efficacy, and mortality trends. Designed for researchers, clinicians, epidemiologists, and data scientists, the package features clinical, epidemiological, and simulated datasets covering a wide range of conditions and treatments such as statins, anticoagulants, and beta blockers. It supports analyses related to disease progression, treatment effects, rehospitalization, and public health outcomes across various cardiovascular patient populations.

r-cinid 1.3-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CINID
Licenses: GPL 2+
Build system: r
Synopsis: Curculionidae INstar IDentification
Description:

Method for identifying the instar of Curculionid larvae from the observed distribution of the headcapsule size of mature larvae.

r-chouca 0.1.99
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-plyr@1.8.9 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/alexgenin/chouca
Licenses: GPL 3+
Build system: r
Synopsis: Stochastic Cellular Automaton Engine
Description:

An engine for stochastic cellular automata. It provides a high-level interface to declare a model, which can then be simulated by various backends (Genin et al. (2023) <doi:10.1101/2023.11.08.566206>).

r-cobin 1.0.1.3
Propagated dependencies: r-spnngp@1.0.1 r-spam@2.11-1 r-rcpp@1.1.0 r-matrixstats@1.5.0 r-matrix@1.7-4 r-lme4@1.1-37 r-fields@17.1 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/changwoo-lee/cobin
Licenses: Expat
Build system: r
Synopsis: Cobin and Micobin Regression Models for Continuous Proportional Data
Description:

This package provides functions for cobin and micobin regression models, a new family of generalized linear models for continuous proportional data (Y in the closed unit interval [0, 1]). It also includes an exact, efficient sampler for the Kolmogorov-Gamma random variable. For details, see Lee et al. (2025+) <doi:10.48550/arXiv.2504.15269>.

r-conmet 0.1.0
Propagated dependencies: r-waiter@0.2.5-1.927501b r-summarytools@1.1.4 r-stringr@1.6.0 r-shinywidgets@0.9.0 r-shinydashboard@0.7.3 r-shiny@1.11.1 r-semtools@0.5-7 r-purrr@1.2.0 r-openxlsx@4.2.8.1 r-lavaan@0.6-20 r-hmisc@5.2-4 r-foreign@0.8-90 r-dt@0.34.0 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=conmet
Licenses: GPL 3
Build system: r
Synopsis: Construct Measurement Evaluation Tool
Description:

With this package you can run ConMET locally in R. ConMET is an R-shiny application that facilitates performing and evaluating confirmatory factor analyses (CFAs) and is useful for running and reporting typical measurement models in applied psychology and management journals. ConMET automatically creates, compares and summarizes CFA models. Most common fit indices (E.g., CFI and SRMR) are put in an overview table. ConMET also allows to test for common method variance. The application is particularly useful for teaching and instruction of measurement issues in survey research. The application uses the lavaan package (Rosseel, 2012) to run CFAs.

r-cifinder 2.0.0
Propagated dependencies: r-rdpack@2.6.4 r-ratesci@1.0.0 r-kableextra@1.4.0 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CIfinder
Licenses: GPL 3+
Build system: r
Synopsis: Estimate the Confidence Intervals for Predictive Values
Description:

Computes confidence intervals for the positive predictive value (PPV) and negative predictive value (NPV) based on varied scenarios. In situations where the proportion of diseased subjects does not correspond to the disease prevalence (e.g. case-control studies), this package provides two types of solutions: 1) five methods for estimating confidence intervals for PPV and NPV via ratio of two binomial proportions including Gart & Nam (1988), Walter (1975), MOVER-J (Laud, 2017), Fieller (1954), and Bootstrap (Efron, 1979); 2) three direct methods that compute the confidence intervals including Pepe (2003), Zhou (2007), and Delta. In prospective studies where the proportion of diseased subjects is an unbiased estimate of the disease prevalence, this package provides several methods for calculating the confidence intervals for PPV and NPV including Clopper-Pearson, Wald, Wilson, Agresti-Coull, and Beta. See the Details and References sections in the corresponding functions.

r-checkdown 0.0.13
Propagated dependencies: r-markdown@2.0 r-htmltools@0.5.8.1 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://agricolamz.github.io/checkdown/
Licenses: GPL 2+
Build system: r
Synopsis: Check-Fields and Check-Boxes for 'rmarkdown'
Description:

This package creates auto-grading check-fields and check-boxes for rmarkdown or quarto HTML. It can be used in class, when teacher share materials and tasks, so students can solve some problems and check their work. In contrast to the learnr package, the checkdown package works serverlessly without shiny'.

r-colorify 0.1.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/mauritsunkel/colorify
Licenses: ASL 2.0
Build system: r
Synopsis: Intuitive Color and Palette Generation and Modification
Description:

This package provides a one-stop shop for intuitive and dependency-free color and palette creation and modification. Includes palettes and functionality from popular packages such as viridis', RColorBrewer', and base R grDevices', as well as ggplot2 plot bindings. Users can generate perceptually uniform and colorblind-friendly palettes, adjust palettes in HSL and RGB color spaces, map color gradients to value ranges, and create color-generating functions.

r-chunked 0.6.2
Propagated dependencies: r-rlang@1.1.6 r-progress@1.2.3 r-laf@0.8.6 r-dplyr@1.1.4 r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/edwindj/chunked
Licenses: GPL 2
Build system: r
Synopsis: Chunkwise Text-File Processing for 'dplyr'
Description:

Data stored in text file can be processed chunkwise using dplyr commands. These are recorded and executed per data chunk, so large files can be processed with limited memory using the LaF package.

r-covbm 0.1.0
Propagated dependencies: r-nlme@3.1-168
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=covBM
Licenses: GPL 3
Build system: r
Synopsis: Brownian Motion Processes for 'nlme'-Models
Description:

Allows Brownian motion, fractional Brownian motion, and integrated Ornstein-Uhlenbeck process components to be added to linear and non-linear mixed effects models using the structures and methods of the nlme package.

r-circnntsr 2.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CircNNTSR
Licenses: GPL 2+
Build system: r
Synopsis: Statistical Analysis of Circular Data using Nonnegative Trigonometric Sums (NNTS) Models
Description:

Includes functions for the analysis of circular data using distributions based on Nonnegative Trigonometric Sums (NNTS). The package includes functions for calculation of densities and distributions, for the estimation of parameters, for plotting and more.

r-corx 1.0.7.3
Propagated dependencies: r-tidyselect@1.2.1 r-rlang@1.1.6 r-ppcor@1.1 r-moments@0.14.1 r-labelled@2.16.0 r-glue@1.8.0 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-ggcorrplot@0.1.4.1 r-crayon@1.5.3 r-clipr@0.8.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/conig/corx
Licenses: Expat
Build system: r
Synopsis: Create and Format Correlation Matrices
Description:

Create correlation (or partial correlation) matrices. Correlation matrices are formatted with significance stars based on user preferences. Matrices of coefficients, p-values, and number of pairwise observations are returned. Send resultant formatted matrices to the clipboard to be pasted into excel and other programs. A plot method allows users to visualize correlation matrices created with corx'.

r-circlesplot 1.1.0
Propagated dependencies: r-plotrix@3.8-13
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/BenSt099/circlesplot
Licenses: Expat
Build system: r
Synopsis: Visualize Proportions with Circles in a Plot
Description:

Method for visualizing proportions between objects of different sizes. The proportions are drawn as circles with different diameters, which makes them ideal for visualizing proportions between planets.

r-comets 0.2-2
Propagated dependencies: r-survival@3.8-3 r-rcpp@1.1.0 r-ranger@0.17.0 r-glmnet@4.1-10 r-formula@1.2-5 r-coin@1.4-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/LucasKook/comets
Licenses: GPL 3
Build system: r
Synopsis: Covariance Measure Tests for Conditional Independence
Description:

Covariance measure tests for conditional independence testing against conditional covariance and nonlinear conditional mean alternatives. The package implements versions of the generalised covariance measure test (Shah and Peters, 2020, <doi:10.1214/19-aos1857>) and projected covariance measure test (Lundborg et al., 2023, <doi:10.1214/24-AOS2447>). The tram-GCM test, for censored responses, is implemented including the Cox model and survival forests (Kook et al., 2024, <doi:10.1080/01621459.2024.2395588>). Application examples to variable significance testing and modality selection can be found in Kook and Lundborg (2024, <doi:10.1093/bib/bbae475>).

r-cmip6visr 1.0.0
Propagated dependencies: r-terra@1.8-86 r-stringr@1.6.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/TycheLab/CMIP6VisR
Licenses: GPL 3
Build system: r
Synopsis: Visualization and Analysis of Coupled Model Intercomparison Project, Phase-6 (CMIP6) Hydroclimatic Data
Description:

Data manipulation for Coupled Model Intercomparison Project, Phase-6 (CMIP6) hydroclimatic data. The files are archived in the Federated Research Data Repository (FRDR) (Rajulapati et al, 2024, <doi:10.20383/103.0829>). The data set is described in Abdelmoaty et al. (2025, <doi:10.1038/s41597-025-04396-z>).

r-confreq 1.6.1-3
Propagated dependencies: r-vcd@1.4-13 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=confreq
Licenses: GPL 3
Build system: r
Synopsis: Configural Frequencies Analysis Using Log-Linear Modeling
Description:

Offers several functions for Configural Frequencies Analysis (CFA), which is a useful statistical tool for the analysis of multiway contingency tables. CFA was introduced by G. A. Lienert as Konfigurations Frequenz Analyse - KFA'. Lienert, G. A. (1971). Die Konfigurationsfrequenzanalyse: I. Ein neuer Weg zu Typen und Syndromen. Zeitschrift für Klinische Psychologie und Psychotherapie, 19(2), 99â 115.

r-causalslse 0.4-1
Propagated dependencies: r-texreg@1.39.5 r-sandwich@3.1-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=causalSLSE
Licenses: GPL 2+
Build system: r
Synopsis: Semiparametric Least Squares Inference for Causal Effects
Description:

Several causal effects are measured using least squares regressions and basis function approximations. Backward and forward selection methods based on different criteria are used to select the basis functions.

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Total results: 68658