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/_/ /      / / /____\/ /       \ \_\\ \/___/ /
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r-netgsa 4.0.5
Propagated dependencies: r-annotationdbi@1.70.0 r-corpcor@1.6.10 r-data-table@1.17.4 r-dplyr@1.1.4 r-genefilter@1.90.0 r-glassofast@1.0.1 r-glmnet@4.1-8 r-graph@1.86.0 r-graphite@1.54.0 r-httr@1.4.7 r-igraph@2.1.4 r-magrittr@2.0.3 r-matrix@1.7-3 r-msigdbr@24.1.0 r-org-hs-eg-db@3.21.0 r-quadprog@1.5-8 r-rcpp@1.0.14 r-rcppeigen@0.3.4.0.2 r-rcy3@2.28.0 r-reshape2@1.4.4 r-rlang@1.1.6
Channel: guix
Location: gnu/packages/bioconductor.scm (gnu packages bioconductor)
Home page: https://github.com/mikehellstern/netgsa
Licenses: GPL 3+
Synopsis: Network-Based gene set analysis
Description:

This package lets you carry out network-based gene set analysis by incorporating external information about interactions among genes, as well as novel interactions learned from data. It implements methods described in Shojaie A, Michailidis G (2010) <doi:10.1093/biomet/asq038>, Shojaie A, Michailidis G (2009) <doi:10.1089/cmb.2008.0081>, and Ma J, Shojaie A, Michailidis G (2016) <doi:10.1093/bioinformatics/btw410>.

r-farver 2.1.2
Channel: guix
Location: gnu/packages/cran.scm (gnu packages cran)
Home page: https://github.com/thomasp85/farver
Licenses: Expat
Synopsis: Vectorized color conversion and comparison
Description:

The encoding of color can be handled in many different ways, using different color spaces. As different color spaces have different uses, efficient conversion between these representations are important. This package provides a set of functions that gives access to very fast color space conversion and comparisons implemented in C++, and offers 100-fold speed improvements over the convertColor function in the grDevices package.

radicale 3.3.2
Propagated dependencies: python-defusedxml@0.7.1 python-passlib@1.7.4 python-pika@1.2.1 python-vobject@0.9.6.1
Channel: guix
Location: gnu/packages/dav.scm (gnu packages dav)
Home page: https://radicale.org/
Licenses: GPL 3+
Synopsis: Basic CalDAV and CardDAV server
Description:

Radicale is a CalDAV and CardDAV server for UNIX-like platforms. Calendars and address books are available for both local and remote access, possibly limited through authentication policies. They can be viewed and edited by calendar and contact clients on mobile phones or computers.

Radicale intentionally does not fully comply with the CalDAV and CardDAV RFCs. Instead, it supports the CalDAV and CardDAV implementations of popular clients.

reprepro 5.3.0
Dependencies: bdb@6.2.32 bzip2@1.0.8 gpgme@1.24.1 libarchive@3.6.1 xz@5.4.5 zlib@1.3
Channel: guix
Location: gnu/packages/debian.scm (gnu packages debian)
Home page: https://salsa.debian.org/brlink/reprepro
Licenses: GPL 2
Synopsis: Debian package repository producer
Description:

Reprepro is a tool to manage a repository of Debian packages (.deb, .udeb, .dsc, ...). It stores files either being injected manually or downloaded from some other repository (partially) mirrored into one pool/ hierarchy. Managed packages and files are stored in a Berkeley DB, so no database server is needed. Checking signatures of mirrored repositories and creating signatures of the generated Package indices is supported.

xvfb-run 21.1.7-1
Dependencies: util-linux@2.37.4 xauth@1.1.3 xorg-server@21.1.15
Channel: guix
Location: gnu/packages/xorg.scm (gnu packages xorg)
Home page: https://packages.debian.org/sid/xorg-server-source
Licenses: X11 GPL 2+
Synopsis: Run X11 client or command in a virtual X server environment
Description:

The xvfb-run wrapper simplifies running commands and scripts within a virtual X server environment. It sets up an X authority file or uses an existing user-specified one, writes a cookie to it, and then starts the Xvfb X server as a background process. It also takes care of killing the server and cleaning up before returning the exit status of the command.

r-aqeval 0.6.2
Propagated dependencies: r-tidyr@1.3.1 r-strucchange@1.5-4 r-segmented@2.1-4 r-purrr@1.0.4 r-openair@2.18-2 r-mgcv@1.9-3 r-lubridate@1.9.4 r-loa@0.3.1.1 r-ggtext@0.1.2 r-ggplot2@3.5.2 r-dplyr@1.1.4 r-data-table@1.17.4
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/karlropkins/AQEval
Licenses: GPL 3+
Synopsis: Air Quality Evaluation
Description:

Developed for use by those tasked with the routine detection, characterisation and quantification of discrete changes in air quality time-series, such as identifying the impacts of air quality policy interventions. The main functions use signal isolation then break-point/segment (BP/S) methods based on strucchange and segmented methods to detect and quantify change events (Ropkins & Tate, 2021, <doi:10.1016/j.scitotenv.2020.142374>).

r-alookr 0.3.9
Propagated dependencies: r-xgboost@1.7.11.1 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.2.1 r-rpart@4.1.24 r-rocr@1.0-11 r-rlang@1.1.6 r-ranger@0.17.0 r-randomforest@4.7-1.2 r-purrr@1.0.4 r-party@1.3-18 r-parallelly@1.44.0 r-mlmetrics@1.1.3 r-mass@7.3-65 r-glmnet@4.1-8 r-ggplot2@3.5.2 r-ggmosaic@0.3.3 r-future@1.49.0 r-dplyr@1.1.4 r-dlookr@0.6.3 r-cli@3.6.5 r-catools@1.18.3
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=alookr
Licenses: GPL 2
Synopsis: Model Classifier for Binary Classification
Description:

This package provides a collection of tools that support data splitting, predictive modeling, and model evaluation. A typical function is to split a dataset into a training dataset and a test dataset. Then compare the data distribution of the two datasets. Another feature is to support the development of predictive models and to compare the performance of several predictive models, helping to select the best model.

r-comics 1.0.4
Propagated dependencies: r-glmnet@4.1-8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: http://dcq.tau.ac.il/
Licenses: GPL 2
Synopsis: Computational Methods for Immune Cell-Type Subsets
Description:

Provided are Computational methods for Immune Cell-type Subsets, including:(1) DCQ (Digital Cell Quantifier) to infer global dynamic changes in immune cell quantities within a complex tissue; and (2) VoCAL (Variation of Cell-type Abundance Loci) a deconvolution-based method that utilizes transcriptome data to infer the quantities of immune-cell types, and then uses these quantitative traits to uncover the underlying DNA loci.

r-estmix 1.0.1
Propagated dependencies: r-rcpparmadillo@14.4.3-1 r-rcpp@1.0.14 r-pscbs@0.68.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EstMix
Licenses: GPL 2+
Synopsis: Tumor Clones Percentage Estimations
Description:

Includes R functions for the estimation of tumor clones percentages for both snp data and (whole) genome sequencing data. See Cheng, Y., Dai, J. Y., Paulson, T. G., Wang, X., Li, X., Reid, B. J., & Kooperberg, C. (2017). Quantification of multiple tumor clones using gene array and sequencing data. The Annals of Applied Statistics, 11(2), 967-991, <doi:10.1214/17-AOAS1026> for more details.

r-geinfo 1.0
Propagated dependencies: r-rvest@1.0.4 r-pheatmap@1.0.12 r-mass@7.3-65 r-glmnet@4.1-8 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GEInfo
Licenses: GPL 2+ GPL 3+
Synopsis: Gene-Environment Interaction Analysis Incorporating Prior Information
Description:

Realize three approaches for Gene-Environment interaction analysis. All of them adopt Sparse Group Minimax Concave Penalty to identify important G variables and G-E interactions, and simultaneously respect the hierarchy between main G and G-E interaction effects. All the three approaches are available for Linear, Logistic, and Poisson regression. Also realize to mine and construct prior information for G variables and G-E interactions.

r-ifmcdm 0.1.17
Propagated dependencies: r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IFMCDM
Licenses: GPL 2+
Synopsis: Intuitionistic Fuzzy Multi-Criteria Decision Making Methods
Description:

Implementation of two multi-criteria decision making methods (MCDM): Intuitionistic Fuzzy Synthetic Measure (IFSM) and Intuitionistic Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (IFTOPSIS) for intuitionistic fuzzy data sets for multi-criteria decision making problems. References describing the methods: JefmaÅ ski (2020) <doi:10.1007/978-3-030-52348-0_4>; JefmaÅ ski, Roszkowska, Kusterka-JefmaÅ ska (2021) <doi:10.3390/e23121636>.

r-ijtiff 3.1.3
Dependencies: zlib@1.3 zlib@1.3 libx11@1.8.10 zstd@1.5.2 libwebp@1.3.2 libtiff@4.4.0 xz@5.4.5 libjpeg-turbo@2.1.4 libdeflate@1.19 bzip2@1.0.8 fftw@3.3.10
Propagated dependencies: r-stringr@1.5.1 r-strex@2.0.1 r-rlang@1.1.6 r-readr@2.1.5 r-purrr@1.0.4 r-magrittr@2.0.3 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-fs@1.6.6 r-dplyr@1.1.4 r-cli@3.6.5 r-checkmate@2.3.2
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://docs.ropensci.org/ijtiff/
Licenses: GPL 3
Synopsis: Comprehensive TIFF I/O with Full Support for 'ImageJ' TIFF Files
Description:

General purpose TIFF file I/O for R users. Currently the only such package with read and write support for TIFF files with floating point (real-numbered) pixels, and the only package that can correctly import TIFF files that were saved from ImageJ and write TIFF files than can be correctly read by ImageJ <https://imagej.net/ij/>. Also supports text image I/O.

r-lenses 0.0.3
Propagated dependencies: r-tidyselect@1.2.1 r-rlang@1.1.6 r-magrittr@2.0.3
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: http://cfhammill.github.io/lenses
Licenses: Expat
Synopsis: Elegant Data Manipulation with Lenses
Description:

This package provides tools for creating and using lenses to simplify data manipulation. Lenses are composable getter/setter pairs for working with data in a purely functional way. Inspired by the Haskell library lens (Kmett, 2012) <https://hackage.haskell.org/package/lens>. For a fairly comprehensive (and highly technical) history of lenses please see the lens wiki <https://github.com/ekmett/lens/wiki/History-of-Lenses>.

r-liureg 1.1.2
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=liureg
Licenses: GPL 2 GPL 3
Synopsis: Liu Regression with Liu Biasing Parameters and Statistics
Description:

Linear Liu regression coefficient's estimation and testing with different Liu related measures such as MSE, R-squared etc. REFERENCES i. Akdeniz and Kaciranlar (1995) <doi:10.1080/03610929508831585> ii. Druilhet and Mom (2008) <doi:10.1016/j.jmva.2006.06.011> iii. Imdadullah, Aslam, and Saima (2017) iv. Liu (1993) <doi:10.1080/03610929308831027> v. Liu (2001) <doi:10.1016/j.jspi.2010.05.030>.

r-marked 1.2.8
Propagated dependencies: r-truncnorm@1.0-9 r-tmb@1.9.17 r-rcpp@1.0.14 r-r2admb@0.7.16.3 r-optimx@2025-4.9 r-numderiv@2016.8-1.1 r-matrix@1.7-3 r-lme4@1.1-37 r-knitr@1.50 r-kableextra@1.4.0 r-expm@1.0-0 r-data-table@1.17.4 r-coda@0.19-4.1 r-bookdown@0.43
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=marked
Licenses: GPL 2+
Synopsis: Mark-Recapture Analysis for Survival and Abundance Estimation
Description:

This package provides functions for fitting various models to capture-recapture data including mixed-effects Cormack-Jolly-Seber(CJS) and multistate models and the multi-variate state model structure for survival estimation and POPAN structured Jolly-Seber models for abundance estimation. There are also Hidden Markov model (HMM) implementations of CJS and multistate models with and without state uncertainty and a simulation capability for HMM models.

r-nlpred 1.0.1
Propagated dependencies: r-superlearner@2.0-29 r-rocr@1.0-11 r-rdpack@2.6.4 r-np@0.60-18 r-data-table@1.17.4 r-cvauc@1.1.4 r-bde@1.0.1.1 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nlpred
Licenses: Expat
Synopsis: Estimators of Non-Linear Cross-Validated Risks Optimized for Small Samples
Description:

This package provides methods for obtaining improved estimates of non-linear cross-validated risks are obtained using targeted minimum loss-based estimation, estimating equations, and one-step estimation (Benkeser, Petersen, van der Laan (2019), <doi:10.1080/01621459.2019.1668794>). Cross-validated area under the receiver operating characteristics curve (LeDell, Petersen, van der Laan (2015), <doi:10.1214/15-EJS1035>) and other metrics are included.

r-ohsome 0.2.2
Propagated dependencies: r-sf@1.0-21 r-readr@2.1.5 r-jsonlite@2.0.0 r-httr@1.4.7 r-geojsonsf@2.0.3
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/GIScience/ohsome-r
Licenses: LGPL 3+
Synopsis: An 'ohsome API' Client
Description:

This package provides a client that grants access to the power of the ohsome API from R. It lets you analyze the rich data source of the OpenStreetMap (OSM) history. You can retrieve the geometry of OSM data at specific points in time, and you can get aggregated statistics on the evolution of OSM elements and specify your own temporal, spatial and/or thematic filters.

r-opcreg 3.0.0
Propagated dependencies: r-matrix@1.7-3 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=OPCreg
Licenses: GPL 3
Synopsis: Online Principal Component Regression for Online Datasets
Description:

The online principal component regression method can process the online data set. OPCreg implements the online principal component regression method, which is specifically designed to process online datasets efficiently. This method is particularly useful for handling large-scale, streaming data where traditional batch processing methods may be computationally infeasible.The philosophy of the package is described in Guo (2025) <doi:10.1016/j.physa.2024.130308>.

r-qtools 1.6.0
Propagated dependencies: r-rcpparmadillo@14.4.3-1 r-rcpp@1.0.14 r-quantreg@6.1 r-quantdr@1.3.2 r-numderiv@2016.8-1.1 r-np@0.60-18 r-matrix@1.7-3 r-mass@7.3-65 r-gtools@3.9.5 r-glmx@0.2-1 r-corpcor@1.6.10 r-conquer@1.3.3 r-boot@1.3-31
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=Qtools
Licenses: GPL 2+
Synopsis: Utilities for Quantiles
Description:

This package provides functions for unconditional and conditional quantiles. These include methods for transformation-based quantile regression, quantile-based measures of location, scale and shape, methods for quantiles of discrete variables, quantile-based multiple imputation, restricted quantile regression, directional quantile classification, and quantile ratio regression. A vignette is given in Geraci (2016, The R Journal) <doi:10.32614/RJ-2016-037> and included in the package.

r-spinar 0.2.0
Propagated dependencies: r-progress@1.2.3 r-checkmate@2.3.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/MFaymon/spINAR
Licenses: GPL 3+
Synopsis: (Semi)Parametric Estimation and Bootstrapping of INAR Models
Description:

Semiparametric and parametric estimation of INAR models including a finite sample refinement (Faymonville et al. (2022) <doi:10.1007/s10260-022-00655-0>) for the semiparametric setting introduced in Drost et al. (2009) <doi:10.1111/j.1467-9868.2008.00687.x>, different procedures to bootstrap INAR data (Jentsch, C. and Weià , C.H. (2017) <doi:10.3150/18-BEJ1057>) and flexible simulation of INAR data.

r-thinkr 0.16
Propagated dependencies: r-withr@3.0.2 r-tidyr@1.3.1 r-stringr@1.5.1 r-stringi@1.8.7 r-rvg@0.3.5 r-officer@0.6.10 r-magrittr@2.0.3 r-lubridate@1.9.4 r-lazyeval@0.2.2 r-ggplot2@3.5.2 r-dplyr@1.1.4 r-devtools@2.4.5 r-cli@3.6.5 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/Thinkr-open/thinkr
Licenses: GPL 3
Synopsis: Tools for Cleaning Up Messy Files
Description:

Some tools for cleaning up messy Excel files to be suitable for R. People who have been working with Excel for years built more or less complicated sheets with names, characters, formats that are not homogeneous. To be able to use them in R nowadays, we built a set of functions that will avoid the majority of importation problems and keep all the data at best.

r-twoway 0.6.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/friendly/twoway
Licenses: GPL 3
Synopsis: Analysis of Two-Way Tables
Description:

Carries out analyses of two-way tables with one observation per cell, together with graphical displays for an additive fit and a diagnostic plot for removable non-additivity via a power transformation of the response. It implements Tukey's Exploratory Data Analysis (1973) <ISBN: 978-0201076165> methods, including a 1-degree-of-freedom test for row*column non-additivity', linear in the row and column effects.

r-cequre 1.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cequre
Licenses: GPL 2+
Synopsis: Censored Quantile Regression & Monotonicity-Respecting Restoring
Description:

Perform censored quantile regression of Huang (2010) <doi:10.1214/09-AOS771>, and restore monotonicity respecting via adaptive interpolation for dynamic regression of Huang (2017) <doi:10.1080/01621459.2016.1149070>. The monotonicity-respecting restoration applies to general dynamic regression models including (uncensored or censored) quantile regression model, additive hazards model, and dynamic survival models of Peng and Huang (2007) <doi:10.1093/biomet/asm058>, among others.

r-cctest 2.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cctest
Licenses: FSDG-compatible
Synopsis: Canonical Correlations and Tests of Independence
Description:

This package provides a simple interface for multivariate correlation analysis that unifies various classical statistical procedures including t-tests, tests in univariate and multivariate linear models, parametric and nonparametric tests for correlation, Kruskal-Wallis tests, common approximate versions of Wilcoxon rank-sum and signed rank tests, chi-squared tests of independence, score tests of particular hypotheses in generalized linear models, canonical correlation analysis and linear discriminant analysis.

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Total results: 34014