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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-rhc 0.1.0
Propagated dependencies: r-vegan@2.7-2 r-randomforest@4.7-1.2 r-permute@0.9-8 r-lattice@0.22-7 r-gridextra@2.3 r-ggplot2@4.0.1 r-geometry@0.5.2 r-fd@1.0-12.3 r-ade4@1.7-23
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RHC
Licenses: GPL 2+
Build system: r
Synopsis: Rangeland Health and Condition
Description:

The evaluation criteria of rangeland health, condition and landscape function analysis based on species diversity and functional diversity of rangeland plant communities.

r-regress3d 1.0.0
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-plotly@4.11.0 r-magrittr@2.0.4 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://github.com/ellaFosterMolina/regress3d
Licenses: GPL 3+
Build system: r
Synopsis: Create 3D Regression Surfaces
Description:

Plot regression surfaces and marginal effects in three dimensions. The plots are plotly objects and can be customized using functions and arguments from the plotly package.

r-rid 0.0.1
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-purrr@1.2.0 r-pracma@2.4.6 r-circularsilhouette@0.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rid
Licenses: GPL 3
Build system: r
Synopsis: Multiple Change-Point Detection in Multivariate Time Series
Description:

This package provides efficient functions for detecting multiple change points in multidimensional time series. The models can be piecewise constant or polynomial. Adaptive threshold selection methods are available, see Fan and Wu (2024) <arXiv:2403.00600>.

r-rlibkdv 1.1
Propagated dependencies: r-sf@1.0-23 r-rcpp@1.1.0 r-raster@3.6-32 r-magrittr@2.0.4 r-leaflet@2.2.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/bojianzhu/Rlibkdv
Licenses: Expat
Build system: r
Synopsis: Versatile Kernel Density Visualization Library for Geospatial Analytics (Heatmap)
Description:

Unlock the power of large-scale geospatial analysis, quickly generate high-resolution kernel density visualizations, supporting advanced analysis tasks such as bandwidth-tuning and spatiotemporal analysis. Regardless of the size of your dataset, our library delivers efficient and accurate results. Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu, Reynold Cheng (2023) <doi:10.1145/3555041.3589401>. Tsz Nam Chan, Rui Zang, Pak Lon Ip, Leong Hou U, Jianliang Xu (2023) <doi:10.1145/3555041.3589711>. Tsz Nam Chan, Leong Hou U, Byron Choi, Jianliang Xu (2022) <doi:10.1145/3514221.3517823>. Tsz Nam Chan, Pak Lon Ip, Kaiyan Zhao, Leong Hou U, Byron Choi, Jianliang Xu (2022) <doi:10.14778/3554821.3554855>. Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Byron Choi, Jianliang Xu (2022) <doi:10.14778/3503585.3503591>. Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Byron Choi, Jianliang Xu (2022) <doi:10.14778/3494124.3494135>. Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Weng Hou Tong, Shivansh Mittal, Ye Li, Reynold Cheng (2021) <doi:10.14778/3476311.3476312>. Tsz Nam Chan, Zhe Li, Leong Hou U, Jianliang Xu, Reynold Cheng (2021) <doi:10.14778/3461535.3461540>. Tsz Nam Chan, Reynold Cheng, Man Lung Yiu (2020) <doi:10.1145/3318464.3380561>. Tsz Nam Chan, Leong Hou U, Reynold Cheng, Man Lung Yiu, Shivansh Mittal (2020) <doi:10.1109/TKDE.2020.3018376>. Tsz Nam Chan, Man Lung Yiu, Leong Hou U (2019) <doi:10.1109/ICDE.2019.00055>.

r-rpublica 0.1.3
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/rOpenGov/RPublica
Licenses: GPL 2
Build system: r
Synopsis: ProPublica API Client
Description:

Client for accessing data journalism APIs from ProPublica <http://www.propublica.org/>.

r-rtiddlywiki 0.5.2
Propagated dependencies: r-websocket@1.4.4 r-stringr@1.6.0 r-stringi@1.8.7 r-settings@0.2.7 r-rvest@1.0.5 r-rmarkdown@2.30 r-pingr@2.0.5 r-later@1.4.4 r-knitr@1.50 r-jsonlite@2.0.0 r-httr2@1.2.1 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-digest@0.6.39 r-bookdown@0.45 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://rtiddlywiki.bangyou.me/
Licenses: Expat
Build system: r
Synopsis: R Interface for 'TiddlyWiki'
Description:

TiddlyWiki is a unique non-linear notebook for capturing, organising and sharing complex information. rtiddlywiki is a R interface of TiddlyWiki <https://tiddlywiki.com> to create new tiddler from R Markdown file, and then put into a local TiddlyWiki server if it is available.

r-riemtan 0.2.5
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-r6@2.6.1 r-purrr@1.2.0 r-matrixstats@1.5.0 r-matrix@1.7-4 r-mass@7.3-65 r-jsonlite@2.0.0 r-future@1.68.0 r-furrr@0.3.1 r-arrow@22.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://nicoesve.github.io/riemtan/
Licenses: Expat
Build system: r
Synopsis: Riemannian Metrics for Symmetric Positive Definite Matrices
Description:

This package implements various Riemannian metrics for symmetric positive definite matrices, including AIRM (Affine Invariant Riemannian Metric, <doi:10.1007/s11263-005-3222-z>), Log-Euclidean (<doi:10.1002/mrm.20965>), Euclidean, Log-Cholesky (<doi:10.1137/18M1221084>), and Bures-Wasserstein metrics (<doi:10.1016/j.exmath.2018.01.002>). Provides functions for computing logarithmic and exponential maps, vectorization, and statistical operations on the manifold of positive definite matrices.

r-rminer 1.5.0
Propagated dependencies: r-xgboost@1.7.11.1 r-rpart@4.1.24 r-randomforest@4.7-1.2 r-pls@2.8-5 r-plotrix@3.8-13 r-party@1.3-18 r-nnet@7.3-20 r-mda@0.5-5 r-mass@7.3-65 r-lattice@0.22-7 r-kknn@1.4.1 r-kernlab@0.9-33 r-glmnet@4.1-10 r-e1071@1.7-16 r-cubist@0.5.1 r-adabag@5.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rminer
Licenses: GPL 2
Build system: r
Synopsis: Machine Learning Classification and Regression Methods
Description:

Facilitates the use of machine learning algorithms in classification and regression (including time series forecasting) tasks by presenting a short and coherent set of functions. Versions: 1.5.0 improved mparheuristic function (new hyperparameter heuristics); 1.4.9 / 1.4.8 improved help, several warning and error code fixes (more stable version, all examples run correctly); 1.4.7 - improved Importance function and examples, minor error fixes; 1.4.6 / 1.4.5 / 1.4.4 new automated machine learning (AutoML) and ensembles, via improved fit(), mining() and mparheuristic() functions, and new categorical preprocessing, via improved delevels() function; 1.4.3 new metrics (e.g., macro precision, explained variance), new "lssvm" model and improved mparheuristic() function; 1.4.2 new "NMAE" metric, "xgboost" and "cv.glmnet" models (16 classification and 18 regression models); 1.4.1 new tutorial and more robust version; 1.4 - new classification and regression models, with a total of 14 classification and 15 regression methods, including: Decision Trees, Neural Networks, Support Vector Machines, Random Forests, Bagging and Boosting; 1.3 and 1.3.1 - new classification and regression metrics; 1.2 - new input importance methods via improved Importance() function; 1.0 - first version.

r-remstats 3.2.4
Propagated dependencies: r-rcppprogress@0.4.2 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://tilburgnetworkgroup.github.io/remstats/
Licenses: Expat
Build system: r
Synopsis: Computes Statistics for Relational Event History Data
Description:

Computes a variety of statistics for relational event models. Relational event models enable researchers to investigate both exogenous and endogenous factors influencing the evolution of a time-ordered sequence of events. These models are categorized into tie-oriented models (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>), where the probability of a dyad interacting next is modeled in a single step, and actor-oriented models (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>), which first model the probability of a sender initiating an interaction and subsequently the probability of the sender's choice of receiver. The package is designed to compute a variety of statistics that summarize exogenous and endogenous influences on the event stream for both types of models.

r-rob 0.1.0
Propagated dependencies: r-minimalrsd@1.0.0 r-fmc@1.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/RomarioContoL/rob
Licenses: Expat
Build system: r
Synopsis: Run Orders with Assignment-Expansion Method
Description:

It enables the identification of sequentialexperimentation orders for factorial designs that jointly reduce bias and the number of level changes. The method used is that presented by Conto et al. (2025), known as the Assignment-Expansion method, which consists of adapting the linear programming assignment problem to generate balanced experimentation orders. The properties identified are then generalized to designs with a larger number of factors and levels using the expansion method proposed by Correa et al. (2009) and later generalized by Bhowmik et al. (2017). For more details see Conto et al. (2025) <doi:10.1016/j.cie.2024.110844>, Correa et al. (2009) <doi:10.1080/02664760802499337> and Bhowmik et al. (2017) <doi:10.1080/03610926.2016.1152490>.

r-rankinplot 1.1.0
Propagated dependencies: r-scales@1.4.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rankinPlot
Licenses: GPL 2+
Build system: r
Synopsis: Convenient Plotting for the Modified Rankin Scale and Other Ordinal Outcome Data
Description:

This package provides convenient tools for visualising ordinal outcome data following the "Grotta Bar" approach pioneered by The National Institute of Neurological Disorders and Stroke rt-PA Stroke Study Group (1995) <doi:10.1056/NEJM199512143332401>.

r-rflexscan 1.2.0
Propagated dependencies: r-sf@1.0-23 r-rcpp@1.1.0 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://tkhrotn.github.io/rflexscan/
Licenses: GPL 3
Build system: r
Synopsis: The Flexible Spatial Scan Statistic
Description:

This package provides functions for detecting spatial clusters using the flexible spatial scan statistic developed by Tango and Takahashi (2005) <doi:10.1186/1476-072X-4-11>. This package implements a wrapper for the C routine used in the FleXScan 3.1.2 <https://sites.google.com/site/flexscansoftware/home> developed by Takahashi, Yokoyama, and Tango. For details, see Otani et al. (2021) <doi:10.18637/jss.v099.i13>.

r-rdecode 0.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rDecode
Licenses: GPL 2
Build system: r
Synopsis: Descent-Based Calibrated Optimal Direct Estimation
Description:

Algorithms for solving a self-calibrated l1-regularized quadratic programming problem without parameter tuning. The algorithm, called DECODE, can handle high-dimensional data without cross-validation. It is found useful in high dimensional portfolio selection (see Pun (2018) <https://ssrn.com/abstract=3179569>) and large precision matrix estimation and sparse linear discriminant analysis (see Pun and Hadimaja (2019) <https://ssrn.com/abstract=3422590>).

r-records 1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Records
Licenses: GPL 2+
Build system: r
Synopsis: Record Values and Record Times
Description:

This package provides functions for generating k-record values and k-record times.

r-rttwebclient 0.1.3
Propagated dependencies: r-withr@3.0.2 r-jsonlite@2.0.0 r-httr@1.4.7 r-digest@0.6.39 r-data-table@1.17.8 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RTTWebClient
Licenses: GPL 2
Build system: r
Synopsis: Web Client to 'TickTrader'
Description:

R Web Client to TickTrader platform. Provides you access to TickTrader platform through Web API <https://ttlivewebapi.fxopen.net:8443/api/doc/index>.

r-r2admb 0.7.16.3
Propagated dependencies: r-lattice@0.22-7 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=R2admb
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: 'ADMB' to R Interface Functions
Description:

This package provides a series of functions to call AD Model Builder (i.e., compile and run models) from within R, read the results back into R as admb objects, and provide standard accessors (i.e. coef(), vcov(), etc.).

r-robusthd 0.8.4
Propagated dependencies: r-robustbase@0.99-6 r-rlang@1.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-perry@0.3.1 r-mass@7.3-65 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/aalfons/robustHD
Licenses: GPL 2+
Build system: r
Synopsis: Robust Methods for High-Dimensional Data
Description:

Robust methods for high-dimensional data, in particular linear model selection techniques based on least angle regression and sparse regression. Specifically, the package implements robust least angle regression (Khan, Van Aelst & Zamar, 2007; <doi:10.1198/016214507000000950>), (robust) groupwise least angle regression (Alfons, Croux & Gelper, 2016; <doi:10.1016/j.csda.2015.02.007>), and sparse least trimmed squares regression (Alfons, Croux & Gelper, 2013; <doi:10.1214/12-AOAS575>).

r-rssop 1.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RSSOP
Licenses: GPL 2
Build system: r
Synopsis: Simulation of Supply Reservoir Systems using Standard Operation Policy
Description:

Reservoir Systems Standard Operation Policy. A system for simulation of supply reservoirs. It proposes functionalities for plotting and evaluation of supply reservoirs systems.

r-ropencvlite 4.110.0
Dependencies: cmake@4.1.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://swarm-lab.github.io/ROpenCVLite/
Licenses: GPL 3
Build system: r
Synopsis: Helper Package for Installing OpenCV with R
Description:

Installs OpenCV for use by other packages. OpenCV <https://opencv.org/> is library of programming functions mainly aimed at real-time computer vision. This Lite version installs the stable base version of OpenCV and some of its experimental externally contributed modules. It does not provide R bindings directly.

r-r2ppt 2.2.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/waynegitshell/R2PPT/
Licenses: GPL 3
Build system: r
Synopsis: Simple R Interface to Microsoft PowerPoint using RDCOMClient
Description:

This package provides a simple set of wrappers to easily use RDCOMClient for generating Microsoft PowerPoint presentations. Warning:this package is soon to be archived from CRAN.

r-rsocialwatcher 0.1.1
Propagated dependencies: r-stringr@1.6.0 r-splitstackshape@1.4.8 r-sf@1.0-23 r-purrr@1.2.0 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://worldbank.github.io/rsocialwatcher/
Licenses: Expat
Build system: r
Synopsis: 'Facebook Marketing API' Social Watcher
Description:

Facilitates querying data from the รข Facebook Marketing API', particularly for social science research <https://developers.facebook.com/docs/marketing-apis/>. Data from the Facebook Marketing API has been used for a variety of social science applications, such as for poverty estimation (Marty and Duhaut (2024) <doi:10.1038/s41598-023-49564-6>), disease surveillance (Araujo et al. (2017) <doi:10.48550/arXiv.1705.04045>), and measuring migration (Alexander, Polimis, and Zagheni (2020) <doi:10.1007/s11113-020-09599-3>). The package facilitates querying the number of Facebook daily/monthly active users for multiple location types (e.g., from around a specific coordinate to an administrative region) and for a number of attribute types (e.g., interests, behaviors, education level, etc). The package supports making complex queries within one API call and making multiple API calls across different locations and/or parameters.

r-rngforgpd 1.1.0
Propagated dependencies: r-mvtnorm@1.3-3 r-matrix@1.7-4 r-corpcor@1.6.10
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RNGforGPD
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Random Number Generation for Generalized Poisson Distribution
Description:

Generation of univariate and multivariate data that follow the generalized Poisson distribution. The details of the univariate part are explained in Demirtas (2017) <doi: 10.1080/03610918.2014.968725>, and the multivariate part is an extension of the correlated Poisson data generation routine that was introduced in Yahav and Shmueli (2012) <doi: 10.1002/asmb.901>.

r-rsfa 1.5
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rSFA
Licenses: GPL 2+
Build system: r
Synopsis: Slow Feature Analysis
Description:

Slow Feature Analysis (SFA), ported to R based on matlab implementations of SFA: SFA toolkit 1.0 by Pietro Berkes and SFA toolkit 2.8 by Wolfgang Konen.

r-rise 1.0.4
Propagated dependencies: r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rise
Licenses: Expat
Build system: r
Synopsis: Conduct RISE Analysis
Description:

This package implements techniques for educational resource inspection, selection, and evaluation (RISE) described in Bodily, Nyland, and Wiley (2017) <doi:10.19173/irrodl.v18i2.2952>. Automates the process of identifying learning materials that are not effectively supporting student learning in technology-mediated courses by synthesizing information about access to course content and performance on assessments.

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