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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-rwa 0.1.1
Propagated dependencies: r-tidyr@1.3.1 r-purrr@1.2.0 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://martinctc.github.io/rwa/
Licenses: GPL 3
Build system: r
Synopsis: Perform a Relative Weights Analysis
Description:

Perform a Relative Weights Analysis (RWA) (a.k.a. Key Drivers Analysis) as per the method described in Tonidandel & LeBreton (2015) <DOI:10.1007/s10869-014-9351-z>, with its original roots in Johnson (2000) <DOI:10.1207/S15327906MBR3501_1>. In essence, RWA decomposes the total variance predicted in a regression model into weights that accurately reflect the proportional contribution of the predictor variables, which addresses the issue of multi-collinearity. In typical scenarios, RWA returns similar results to Shapley regression, but with a significant advantage on computational performance.

r-rstiefel 1.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rstiefel
Licenses: GPL 3
Build system: r
Synopsis: Random Orthonormal Matrix Generation and Optimization on the Stiefel Manifold
Description:

Simulation of random orthonormal matrices from linear and quadratic exponential family distributions on the Stiefel manifold. The most general type of distribution covered is the matrix-variate Bingham-von Mises-Fisher distribution. Most of the simulation methods are presented in Hoff(2009) "Simulation of the Matrix Bingham-von Mises-Fisher Distribution, With Applications to Multivariate and Relational Data" <doi:10.1198/jcgs.2009.07177>. The package also includes functions for optimization on the Stiefel manifold based on algorithms described in Wen and Yin (2013) "A feasible method for optimization with orthogonality constraints" <doi:10.1007/s10107-012-0584-1>.

r-rsixel 0.0.4
Propagated dependencies: r-png@0.1-8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rsixel
Licenses: Expat
Build system: r
Synopsis: Encoding and Decoding Sixel Images
Description:

This package provides a native R implementation for encoding and decoding sixel graphics (<https://vt100.net/docs/vt3xx-gp/chapter14.html>), and a dedicated sixel graphics device that allows plots to be rendered directly within compatible terminal emulators.

r-radlibs 0.2.0
Propagated dependencies: r-stringr@1.6.0 r-lexicon@1.2.1 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=radlibs
Licenses: Modified BSD
Build system: r
Synopsis: Build Your Own Madlibs!
Description:

Make your phrase or sentence into something funny! Pass a string with the keywords in, and get out a bit of humor.

r-ribd 1.7.1
Propagated dependencies: r-slam@0.1-55 r-pedtools@2.10.0 r-kinship2@1.9.6.2 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/magnusdv/ribd
Licenses: GPL 3
Build system: r
Synopsis: Pedigree-based Relatedness Coefficients
Description:

Recursive algorithms for computing various relatedness coefficients, including pairwise kinship, kappa and identity coefficients. Both autosomal and X-linked coefficients are computed. Founders are allowed to be inbred, which enables construction of any given kappa coefficients, as described in Vigeland (2020) <doi:10.1007/s00285-020-01505-x>. In addition to the standard coefficients, ribd also computes a range of lesser-known coefficients, including generalised kinship coefficients, multi-person coefficients and two-locus coefficients (Vigeland, 2023, <doi:10.1093/g3journal/jkac326>). Many features of ribd are available through the online app QuickPed at <https://magnusdv.shinyapps.io/quickped>; see Vigeland (2022) <doi:10.1186/s12859-022-04759-y>.

r-rpms 0.5.1
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://cran.r-project.org/package=rpms
Licenses: CC0
Build system: r
Synopsis: Recursive Partitioning for Modeling Survey Data
Description:

This package provides functions to allow users to build and analyze design consistent tree and random forest models using survey data from a complex sample design. The tree model algorithm can fit a linear model to survey data in each node obtained by recursively partitioning the data. The splitting variables and selected splits are obtained using a randomized permutation test procedure which adjusted for complex sample design features used to obtain the data. Likewise the model fitting algorithm produces design-consistent coefficients to any specified least squares linear model between the dependent and independent variables used in the end nodes. The main functions return the resulting binary tree or random forest as an object of "rpms" or "rpms_forest" type. The package also provides methods modeling a "boosted" tree or forest model and a tree model for zero-inflated data as well as a number of functions and methods available for use with these object types.

r-robustest 1.1.0
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=robusTest
Licenses: Expat
Build system: r
Synopsis: Calibrated Correlation and Two-Sample Tests
Description:

Implementation of corrected two-sample tests. A corrected version of the Pearson and Kendall correlation tests, the Mann-Whitney (Wilcoxon) rank sum test, the Wilcoxon signed rank test and a variance test are implemented. The package also proposes a test for the median and an independence test between two continuous variables of Kolmogorov-Smirnov's type. All these corrected tests are asymptotically calibrated in the sense that the probability of rejection under the null hypothesis is asymptotically equal to the level of the test. See <doi:10.48550/arXiv.2211.08784> for more details on the statistical tests.

r-randgeo 0.3.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/ropensci/randgeo
Licenses: Expat
Build system: r
Synopsis: Generate Random 'WKT' or 'GeoJSON'
Description:

Generate random positions (latitude/longitude), Well-known text ('WKT') points or polygons, or GeoJSON points or polygons.

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-ref-icar 2.0.2
Propagated dependencies: r-spdep@1.4-1 r-sp@2.2-0 r-sf@1.0-23 r-rdpack@2.6.4 r-pracma@2.4.6 r-mvtnorm@1.3-3 r-mcmcglmm@2.36 r-gtools@3.9.5 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-coda@0.19-4.1 r-classint@0.4-11
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=ref.ICAR
Licenses: Expat
Build system: r
Synopsis: Objective Bayes Intrinsic Conditional Autoregressive Model for Areal Data
Description:

This package implements an objective Bayes intrinsic conditional autoregressive prior. This model provides an objective Bayesian approach for modeling spatially correlated areal data using an intrinsic conditional autoregressive prior on a vector of spatial random effects.

r-rlab 4.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://www.r-project.org
Licenses: GPL 2+
Build system: r
Synopsis: Functions and Datasets Required for ST370 Class
Description:

This package provides functions and datasets required for the ST 370 course at North Carolina State University.

r-r2wd 1.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=R2wd
Licenses: GPL 2
Build system: r
Synopsis: Write MS-Word documents from R
Description:

This package uses either the statconnDCOM server (via the rcom package) or the RDCOMClient to communicate with MS-Word via the COM interface.

r-roket 1.0.0
Propagated dependencies: r-survival@3.8-3 r-smarter@1.0.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mirkat@1.2.3 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=ROKET
Licenses: GPL 3+
Build system: r
Synopsis: Optimal Transport-Based Kernel Regression
Description:

Perform optimal transport on somatic point mutations and kernel regression hypothesis testing by integrating pathway level similarities at the gene level (Little et al. (2023) <doi:10.1111/biom.13769>). The software implements balanced and unbalanced optimal transport and omnibus tests with C++ across a set of tumor samples and allows for multi-threading to decrease computational runtime.

r-rmark 3.0.7
Propagated dependencies: r-msm@1.8.2 r-matrixcalc@1.0-6 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=RMark
Licenses: GPL 2+
Build system: r
Synopsis: R Code for Mark Analysis
Description:

An interface to the software package MARK that constructs input files for MARK and extracts the output. MARK was developed by Gary White and is freely available at <http://www.phidot.org/software/mark/downloads/> but is not open source.

r-rendo 2.4.10
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-optimx@2025-4.9 r-mvtnorm@1.3-3 r-matrix@1.7-4 r-lmtest@0.9-40 r-lme4@1.1-37 r-formula@1.2-5 r-data-table@1.17.8 r-corpcor@1.6.10 r-aer@1.2-15
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/mmeierer/REndo
Licenses: GPL 3
Build system: r
Synopsis: Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables
Description:

Fits linear models with endogenous regressor using latent instrumental variable approaches. The methods included in the package are Lewbel's (1997) <doi:10.2307/2171884> higher moments approach as well as Lewbel's (2012) <doi:10.1080/07350015.2012.643126> heteroscedasticity approach, Park and Gupta's (2012) <doi:10.1287/mksc.1120.0718> joint estimation method that uses Gaussian copula and Kim and Frees's (2007) <doi:10.1007/s11336-007-9008-1> multilevel generalized method of moment approach that deals with endogeneity in a multilevel setting. These are statistical techniques to address the endogeneity problem where no external instrumental variables are needed. See the publication related to this package in the Journal of Statistical Software for more details: <doi:10.18637/jss.v107.i03>. Note that with version 2.0.0 sweeping changes were introduced which greatly improve functionality and usability but break backwards compatibility.

r-rocsurf 0.1.1
Propagated dependencies: r-pracma@2.4.6 r-plotly@4.11.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/ErtanSU/ROCsurf
Licenses: GPL 3
Build system: r
Synopsis: ROC Surface Analysis Under the Three-Class Problems
Description:

Receiver Operating Characteristic (ROC) analysis is performed assuming samples are from the proposed distributions. In addition, the volume under the ROC surface and true positive fractions values are evaluated by ROC surface analysis.

r-rdpower 2.3
Propagated dependencies: r-rdrobust@3.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rdpower
Licenses: GPL 2
Build system: r
Synopsis: Power Calculations for RD Designs
Description:

The regression discontinuity (RD) design is a popular quasi-experimental design for causal inference and policy evaluation. The rdpower package provides tools to perform power, sample size and MDE calculations in RD designs: rdpower() calculates the power of an RD design, rdsampsi() calculates the required sample size to achieve a desired power and rdmde() calculates minimum detectable effects. See Cattaneo, Titiunik and Vazquez-Bare (2019) <https://rdpackages.github.io/references/Cattaneo-Titiunik-VazquezBare_2019_Stata.pdf> for further methodological details.

r-rbmi 1.6.0
Propagated dependencies: r-stringr@1.6.0 r-r6@2.6.1 r-pkgload@1.4.1 r-mmrm@0.3.17 r-matrix@1.7-4 r-jinjar@0.3.2 r-fs@1.6.6 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://openpharma.github.io/rbmi/
Licenses: FSDG-compatible
Build system: r
Synopsis: Reference Based Multiple Imputation
Description:

This package implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). In particular, this package supports deterministic conditional mean imputation and jackknifing as described in Wolbers et al. (2022) <doi:10.1002/pst.2234>, Bayesian multiple imputation as described in Carpenter et al. (2013) <doi:10.1080/10543406.2013.834911>, and bootstrapped maximum likelihood imputation as described in von Hippel and Bartlett (2021) <doi: 10.1214/20-STS793>.

r-rollout 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-purrr@1.2.0 r-pbapply@1.7-4 r-lifecycle@1.0.4 r-glue@1.8.0 r-dplyr@1.1.4 r-broom-mixed@0.2.9.6
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/iancero/rollout
Licenses: Expat
Build system: r
Synopsis: Tools for Designing, Simulating, and Analyzing Implementation Rollout Trials
Description:

This package provides a unified framework for designing, simulating, and analyzing implementation rollout trials, including stepped wedge, sequential rollout, head-to-head, multi-condition, and rollout implementation optimization designs. The package enables users to flexibly specify rollout schedules, incorporate site-level and nested data structures, generate outcomes under rich hierarchical models, and evaluate analytic strategies through simulation-based power analysis. By separating data generation from model fitting, the tools support assessment of bias, Type I error, and robustness to model misspecification. The workflow integrates with standard mixed-effects modeling approaches and the tidyverse ecosystem, offering transparent and reproducible tools for implementation scientists and applied statisticians.

r-roi-plugin-symphony 1.0-0
Propagated dependencies: r-slam@0.1-55 r-rsymphony@0.1-33 r-roi@1.0-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://roi.r-forge.r-project.org/
Licenses: GPL 3
Build system: r
Synopsis: 'SYMPHONY' Plug-in for the 'R' Optimization Interface
Description:

Enhances the R Optimization Infrastructure ('ROI') package by registering the SYMPHONY open-source solver from the COIN-OR suite. It allows for solving mixed integer linear programming (MILP) problems as well as all variants/combinations of LP, IP.

r-rspotify 0.1.2
Propagated dependencies: r-plyr@1.8.9 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 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=Rspotify
Licenses: GPL 2
Build system: r
Synopsis: Access to Spotify API
Description:

This package provides an interface to the Spotify API <https://developer.spotify.com/documentation/web-api/>.

r-rstata 1.1.2
Propagated dependencies: r-foreign@0.8-90
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/lbraglia/RStata
Licenses: GPL 3
Build system: r
Synopsis: Bit of Glue Between R and Stata
Description:

This package provides a simple R -> Stata interface allowing the user to execute Stata commands (both inline and from a .do file) from R.

r-rumidas 0.1.3
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-tseries@0.10-58 r-roll@1.2.0 r-rdpack@2.6.4 r-maxlik@1.5-2.1 r-lubridate@1.9.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rumidas
Licenses: GPL 3
Build system: r
Synopsis: Univariate GARCH-MIDAS, Double-Asymmetric GARCH-MIDAS and MEM-MIDAS
Description:

Adds the MIxing-Data Sampling (MIDAS, Ghysels et al. (2007) <doi:10.1080/07474930600972467>) components to a variety of GARCH and MEM (Engle (2002) <doi:10.1002/jae.683>, Engle and Gallo (2006) <doi:10.1016/j.jeconom.2005.01.018>, and Amendola et al. (2024) <doi:10.1016/j.seps.2023.101764>) models, with the aim of predicting the volatility with additional low-frequency (that is, MIDAS) terms. The estimation takes place through simple functions, which provide in-sample and (if present) and out-of-sample evaluations. rumidas also offers a summary tool, which synthesizes the main information of the estimated model. There is also the possibility of generating one-step-ahead and multi-step-ahead forecasts.

r-rix 0.18.1
Propagated dependencies: r-sys@3.4.3 r-jsonlite@2.0.0 r-curl@7.0.0 r-codetools@0.2-20
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://docs.ropensci.org/rix/
Licenses: GPL 3+
Build system: r
Synopsis: Reproducible Data Science Environments with 'Nix'
Description:

Simplifies the creation of reproducible data science environments using the Nix package manager, as described in Dolstra (2006) <ISBN 90-393-4130-3>. The included `rix()` function generates a complete description of the environment as a `default.nix` file, which can then be built using Nix'. This results in project specific software environments with pinned versions of R, packages, linked system dependencies, and other tools or programming languages such as Python or Julia. Additional helpers make it easy to run R code in Nix software environments for testing and production.

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