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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-rfit 0.27.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Rfit
Licenses: GPL 2+
Build system: r
Synopsis: Rank-Based Estimation for Linear Models
Description:

Rank-based (R) estimation and inference for linear models. Estimation is for general scores and a library of commonly used score functions is included.

r-r2ucare 1.0.3
Propagated dependencies: r-stringr@1.6.0 r-rmark@3.0.7
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/oliviergimenez/R2ucare
Licenses: GPL 2+
Build system: r
Synopsis: Goodness-of-Fit Tests for Capture-Recapture Models
Description:

This package performs goodness-of-fit tests for capture-recapture models as described by Gimenez et al. (2018) <doi:10.1111/2041-210X.13014>. Also contains several functions to process capture-recapture data.

r-rbahadur 1.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/rborder/rBahadur
Licenses: GPL 3+
Build system: r
Synopsis: Assortative Mating Simulation and Multivariate Bernoulli Variates
Description:

Simulation of phenotype / genotype data under assortative mating. Includes functions for generating Bahadur order-2 multivariate Bernoulli variables with general and diagonal-plus-low-rank correlation structures. Further details are provided in: Border and Malik (2022) <doi:10.1101/2022.10.13.512132>.

r-rwnn 0.4
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-randtoolbox@2.0.5 r-quadprog@1.5-8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RWNN
Licenses: Expat
Build system: r
Synopsis: Random Weight Neural Networks
Description:

Creation, estimation, and prediction of random weight neural networks (RWNN), Schmidt et al. (1992) <doi:10.1109/ICPR.1992.201708>, including popular variants like extreme learning machines, Huang et al. (2006) <doi:10.1016/j.neucom.2005.12.126>, sparse RWNN, Zhang et al. (2019) <doi:10.1016/j.neunet.2019.01.007>, and deep RWNN, Henrà quez et al. (2018) <doi:10.1109/IJCNN.2018.8489703>. It further allows for the creation of ensemble RWNNs like bagging RWNN, Sui et al. (2021) <doi:10.1109/ECCE47101.2021.9595113>, boosting RWNN, stacking RWNN, and ensemble deep RWNN, Shi et al. (2021) <doi:10.1016/j.patcog.2021.107978>.

r-regexselect 1.0.0
Propagated dependencies: r-shinyjs@2.1.0 r-shiny@1.11.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/yonicd/regexSelect
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Regular Expressions in 'shiny' Select Lists
Description:

shiny extension that adds regular expression filtering capabilities to the choice vector of the select list.

r-rdatacite 0.5.4
Propagated dependencies: r-tibble@3.3.0 r-jsonlite@2.0.0 r-crul@1.6.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://docs.ropensci.org/rdatacite/
Licenses: Expat
Build system: r
Synopsis: Client for the 'DataCite' API
Description:

Client for the web service methods provided by DataCite (<https://www.datacite.org/>), including functions to interface with their RESTful search API. The API is backed by Elasticsearch', allowing expressive queries, including faceting.

r-rsurveillance 0.2.1
Propagated dependencies: r-mc2d@0.2.1 r-epitools@0.5-10.1 r-epir@2.0.91
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/roStats/RSurveillance
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Design and Analysis of Disease Surveillance Activities
Description:

This package provides a range of functions for the design and analysis of disease surveillance activities. These functions were originally developed for animal health surveillance activities but can be equally applied to aquatic animal, wildlife, plant and human health surveillance activities. Utilities are included for sample size calculation and analysis of representative surveys for disease freedom, risk-based studies for disease freedom and for prevalence estimation. This package is based on Cameron A., Conraths F., Frohlich A., Schauer B., Schulz K., Sergeant E., Sonnenburg J., Staubach C. (2015). R package of functions for risk-based surveillance. Deliverable 6.24, WP 6 - Decision making tools for implementing risk-based surveillance, Grant Number no. 310806, RISKSUR (<https://www.fp7-risksur.eu/sites/default/files/documents/Deliverables/RISKSUR_%28310806%29_D6.24.pdf>). Many of the RSurveillance functions are incorporated into the epitools website: Sergeant, ESG, 2019. Epitools epidemiological calculators. Ausvet Pty Ltd. Available at: <http://epitools.ausvet.com.au>.

r-r4ds-tutorials 0.3.3
Propagated dependencies: r-tutorial-helpers@0.6.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://ppbds.github.io/r4ds.tutorials/
Licenses: Expat
Build system: r
Synopsis: Tutorials for "R for Data Science"
Description:

When assigned "R for Data Science" (Wickham, Ã etinkaya-Rundel, and Grolemund (2023, ISBN: 1492097402)), students should read the book and type in all the associated R commands themselves. Sadly, that never happens. These tutorials allow students to demonstrate (and their instructors to be sure) that all work has been completed. See Kane (2023) <https://ppbds.github.io/tutorial.helpers/articles/instructions.html> from the tutorial.helpers package for a background discussion.

r-rpublic 1.0.0
Propagated dependencies: r-uuid@1.2-1 r-stringr@1.6.0 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rPublic
Licenses: GPL 3
Build system: r
Synopsis: 'Public Trading API'
Description:

The Public Trading API <https://public.com/api/docs> allows clients to access their brokerage accounts, request market data, and place stock/etf/option orders.

r-ranktreeensemble 0.24
Propagated dependencies: r-rcpp@1.1.0 r-randomforestsrc@2.9.3 r-gbm@2.2.2 r-data-tree@1.2.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/TransBioInfoLab/ranktreeEnsemble/
Licenses: GPL 2+
Build system: r
Synopsis: Ensemble Models of Rank-Based Trees with Extracted Decision Rules
Description:

Fast computing an ensemble of rank-based trees via boosting or random forest on binary and multi-class problems. It converts continuous gene expression profiles into ranked gene pairs, for which the variable importance indices are computed and adopted for dimension reduction. Decision rules can be extracted from trees.

r-rgreenplum 0.1.2
Propagated dependencies: r-rpostgres@1.4.8 r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/mwillumz/RGreenplum
Licenses: GPL 2
Build system: r
Synopsis: Interface to 'Greenplum' Database
Description:

Fully DBI'-compliant interface to Greenplum <https://greenplum.org/>, an open-source parallel database. This is an extension of the RPostgres package <https://github.com/r-dbi/RPostgres>.

r-r0 1.3-1
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/tobadia/R0
Licenses: GPL 2+
Build system: r
Synopsis: Estimation of R0 and Real-Time Reproduction Number from Epidemics
Description:

Estimation of reproduction numbers for disease outbreak, based on incidence data. The R0 package implements several documented methods. It is therefore possible to compare estimations according to the methods used. Depending on the methods requested by user, basic reproduction number (commonly denoted as R0) or real-time reproduction number (referred to as R(t)) is computed, along with a 95% Confidence Interval. Plotting outputs will give different graphs depending on the methods requested : basic reproductive number estimations will only show the epidemic curve (collected data) and an adjusted model, whereas real-time methods will also show the R(t) variations throughout the outbreak time period. Sensitivity analysis tools are also provided, and allow for investigating effects of varying Generation Time distribution or time window on estimates.

r-rmcc 0.1.2
Propagated dependencies: r-rcpp@1.1.0 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/r-lidar/RMCC
Licenses: Expat
Build system: r
Synopsis: Airborne LiDAR Filtering Method Based on Multiscale Curvature
Description:

Multiscale Curvature Classification of ground returns in 3-D LiDAR point clouds, designed for forested environments. RMCC is a porting to R of the MCC-lidar method by Evans and Hudak (2007) <doi:10.1109/TGRS.2006.890412>.

r-rlas 1.8.4
Propagated dependencies: r-rcpp@1.1.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/r-lidar/rlas
Licenses: GPL 3
Build system: r
Synopsis: Read and Write 'las' and 'laz' Binary File Formats Used for Remote Sensing Data
Description:

Read and write las and laz binary file formats. The LAS file format is a public file format for the interchange of 3-dimensional point cloud data between data users. The LAS specifications are approved by the American Society for Photogrammetry and Remote Sensing <https://community.asprs.org/leadership-restricted/leadership-content/public-documents/standards>. The LAZ file format is an open and lossless compression scheme for binary LAS format versions 1.0 to 1.4 <https://laszip.org/>.

r-rmixtcomp 4.1.5
Propagated dependencies: r-scales@1.4.0 r-rmixtcomputilities@4.1.6 r-rmixtcompio@4.0.11 r-plotly@4.11.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/modal-inria/MixtComp
Licenses: AGPL 3
Build system: r
Synopsis: Mixture Models with Heterogeneous and (Partially) Missing Data
Description:

Mixture Composer (Biernacki (2015) <https://inria.hal.science/hal-01253393v1>) is a project to perform clustering using mixture models with heterogeneous data and partially missing data. Mixture models are fitted using a SEM algorithm. It includes 8 models for real, categorical, counting, functional and ranking data.

r-rifttable 0.7.2
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-survival@3.8-3 r-stringr@1.6.0 r-rlang@1.1.6 r-risks@0.4.3 r-purrr@1.2.0 r-dplyr@1.1.4 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://stopsack.github.io/rifttable/
Licenses: GPL 3+
Build system: r
Synopsis: Results Tables to Bridge the Rift Between Epidemiologists and Their Data
Description:

Presentation-ready results tables for epidemiologists in an automated, reproducible fashion. The user provides the final analytical dataset and specifies the design of the table, with rows and/or columns defined by exposure(s), effect modifier(s), and estimands as desired, allowing to show descriptors and inferential estimates in one table -- bridging the rift between epidemiologists and their data, one table at a time. See Rothman (2017) <doi:10.1007/s10654-017-0314-3>.

r-rcsf 1.0.2
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RCSF
Licenses: ASL 2.0
Build system: r
Synopsis: Airborne LiDAR Filtering Method Based on Cloth Simulation
Description:

Cloth Simulation Filter (CSF) is an airborne LiDAR (Light Detection and Ranging) ground points filtering algorithm which is based on cloth simulation. It tries to simulate the interactions between the cloth nodes and the corresponding LiDAR points, the locations of the cloth nodes can be determined to generate an approximation of the ground surface <https://www.mdpi.com/2072-4292/8/6/501/htm>.

r-robcor 0.1-6.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=robcor
Licenses: GPL 2+
Build system: r
Synopsis: Robust Correlations
Description:

Robust pairwise correlations based on estimates of scale, particularly on "FastQn" one-step M-estimate.

r-rinside 0.2.19
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/eddelbuettel/rinside/
Licenses: GPL 2+
Build system: r
Synopsis: C++ Classes to Embed R in C++ (and C) Applications
Description:

C++ classes to embed R in C++ (and C) applications A C++ class providing the R interpreter is offered by this package making it easier to have "R inside" your C++ application. As R itself is embedded into your application, a shared library build of R is required. This works on Linux, OS X and even on Windows provided you use the same tools used to build R itself. Numerous examples are provided in the nine subdirectories of the examples/ directory of the installed package: standard, mpi (for parallel computing), qt (showing how to embed RInside inside a Qt GUI application), wt (showing how to build a "web-application" using the Wt toolkit), armadillo (for RInside use with RcppArmadillo'), eigen (for RInside use with RcppEigen'), and c_interface for a basic C interface and Ruby illustration. The examples use GNUmakefile(s) with GNU extensions, so a GNU make is required (and will use the GNUmakefile automatically). Doxygen'-generated documentation of the C++ classes is available at the RInside website as well.

r-rigma 0.3.0
Propagated dependencies: r-xml2@1.5.0 r-withr@3.0.2 r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-png@0.1-8 r-magrittr@2.0.4 r-lubridate@1.9.4 r-httr2@1.2.1 r-glue@1.8.0 r-fs@1.6.6 r-dplyr@1.1.4 r-cli@3.6.5 r-checkmate@2.3.3 r-bslib@0.9.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/AleKoure/Rigma
Licenses: Expat
Build system: r
Synopsis: Access to the 'Figma' API
Description:

The goal of Rigma is to provide a user friendly client to the Figma API <https://www.figma.com/developers/api>. It uses the latest `httr2` for a stable interface with the REST API. More than 20 methods are provided to interact with Figma files, and teams. Get design data into R by reading published components and styles, converting and downloading images, getting access to the full Figma file as a hierarchical data structure, and much more. Enhance your creativity and streamline the application development by automating the extraction, transformation, and loading of design data to your applications and HTML documents.

r-rbioapi 0.8.3
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://rbioapi.moosa-r.com
Licenses: GPL 3
Build system: r
Synopsis: User-Friendly R Interface to Biologic Web Services' API
Description:

Currently fully supports Enrichr, JASPAR, miEAA, PANTHER, Reactome, STRING, and UniProt! The goal of rbioapi is to provide a user-friendly and consistent interface to biological databases and services. In a way that insulates the user from the technicalities of using web services API and creates a unified and easy-to-use interface to biological and medical web services. This is an ongoing project; New databases and services will be added periodically. Feel free to suggest any databases or services you often use.

r-resilience 2025.1.1
Propagated dependencies: r-nptest@1.2 r-mice@3.18.0 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=resilience
Licenses: GPL 2+
Build system: r
Synopsis: Predictors of Resilience to a Stressor in a Single-Arm Study
Description:

Studies of resilience in older adults employ a single-arm design where everyone experiences the stressor. The simplistic approach of regressing change versus baseline yields biased estimates due to regression-to-the-mean. This package provides a method to correct the bias. It also allows covariates to be included. The method implemented in the package is described in Varadhan, R., Zhu, J., and Bandeen-Roche, K (2024), Biostatistics 25(4): 1094-1111.

r-remulate 2.1.0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/TilburgNetworkGroup/remulate
Licenses: Expat
Build system: r
Synopsis: Simulate Dynamic Networks from Relational Event Models
Description:

Model based simulation of dynamic networks under tie-oriented (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>) and actor-oriented (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>) relational event models. Supports simulation from a variety of relational event model extensions, including temporal variability in effects, heterogeneity through dyadic latent class relational event models (DLC-REM), random effects, blockmodels, and memory decay in relational event models (Lakdawala, R., 2024 <doi:10.48550/arXiv.2403.19329>). The development of this package was supported by a Vidi Grant (452-17-006) awarded by the Netherlands Organization for Scientific Research (NWO) Grant and an ERC Starting Grant (758791).

r-rocftp-mms 1.0.0
Propagated dependencies: r-vctrs@0.6.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/nabipoor/ROCFTP.MMS
Licenses: Expat
Build system: r
Synopsis: Perfect Sampling
Description:

The algorithm provided in this package generates perfect sample for unimodal or multimodal posteriors. Read Once Coupling From The Past, with Metropolis-Multishift is used to generate a perfect sample for a given posterior density based on the two extreme starting paths, minimum and maximum of the most interest range of the posterior. It uses the monotone random operation of multishift coupler which allows to sandwich all of the state space in one point. It means both Markov Chains starting from the maximum and minimum will be coalesced. The generated sample is independent from the starting points. It is useful for mixture distributions too. The output of this function is a real value as an exact draw from the posterior distribution.

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