_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-intsurv 0.3.0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://wwenjie.org/intsurv
Licenses: GPL 3+
Build system: r
Synopsis: Integrative Survival Modeling
Description:

This package contains implementations of the integrative Cox model with uncertain event times proposed by Wang, et al. (2020) <doi:10.1214/19-AOAS1287>, the regularized Cox cure rate model with uncertain event status proposed by Wang, et al. (2023) <doi:10.1007/s12561-023-09374-w>, and other survival analysis routines including the Cox cure rate model proposed by Kuk and Chen (1992) <doi:10.1093/biomet/79.3.531> via an EM algorithm proposed by Sy and Taylor (2000) <doi:10.1111/j.0006-341X.2000.00227.x>, the regularized Cox cure rate model with elastic net penalty following Masud et al. (2018) <doi:10.1177/0962280216677748>.

r-interleave 0.1.2
Propagated dependencies: r-rcpp@1.1.0 r-geometries@0.2.5
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=interleave
Licenses: Expat
Build system: r
Synopsis: Converts Tabular Data to Interleaved Vectors
Description:

Converts matrices and lists of matrices into a single vector by interleaving their values. That is, each element of the result vector is filled from the input matrices one row at a time. This is the same as transposing a matrix, then removing the dimension attribute, but is designed to operate on matrices in nested list structures.

r-ivpp 1.1.1
Propagated dependencies: r-psychonetrics@0.13.2 r-mvtnorm@1.3-3 r-lifecycle@1.0.4 r-graphicalvar@0.3.4 r-future-apply@1.20.0 r-future@1.68.0 r-dplyr@1.1.4 r-clustergeneration@1.3.8 r-bootnet@1.7.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/xinkaidupsy/IVPP
Licenses: GPL 3+
Build system: r
Synopsis: Invariance Partial Pruning Test
Description:

An implementation of the Invariance Partial Pruning (IVPP) approach described in Du, X., Johnson, S. U., Epskamp, S. (2025) The Invariance Partial Pruning Approach to The Network Comparison in Longitudinal Data. IVPP is a two-step method that first test for global network structural difference with invariance test and then inspect specific edge difference with partial pruning.

r-interep 0.4.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/feizhoustat/interep
Licenses: GPL 2
Build system: r
Synopsis: Interaction Analysis of Repeated Measure Data
Description:

Extensive penalized variable selection methods have been developed in the past two decades for analyzing high dimensional omics data, such as gene expressions, single nucleotide polymorphisms (SNPs), copy number variations (CNVs) and others. However, lipidomics data have been rarely investigated by using high dimensional variable selection methods. This package incorporates our recently developed penalization procedures to conduct interaction analysis for high dimensional lipidomics data with repeated measurements. The core module of this package is developed in C++. The development of this software package and the associated statistical methods have been partially supported by an Innovative Research Award from Johnson Cancer Research Center, Kansas State University.

r-imsig 1.1.3
Propagated dependencies: r-survival@3.8-3 r-rcolorbrewer@1.1-3 r-igraph@2.2.1 r-hiclimr@2.2.1 r-gridextra@2.3 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/ajitjohnson/imsig/
Licenses: GPL 3
Build system: r
Synopsis: Immune Cell Gene Signatures for Profiling the Microenvironment of Solid Tumours
Description:

Estimate the relative abundance of tissue-infiltrating immune subpopulations abundances using gene expression data.

r-itscalledsoccer 0.3.2
Propagated dependencies: r-tidyr@1.3.1 r-stringi@1.8.7 r-rlang@1.1.6 r-r6@2.6.1 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-httpcache@1.2.0 r-glue@1.8.0 r-dplyr@1.1.4 r-data-table@1.17.8 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/American-Soccer-Analysis/itscalledsoccer-r
Licenses: Expat
Build system: r
Synopsis: American Soccer Analysis API Client
Description:

This package provides a wrapper around the same API <https://app.americansocceranalysis.com/api/v1/__docs__/> that powers the American Soccer Analysis app.

r-interplot 0.2.3
Propagated dependencies: r-purrr@1.2.0 r-interactiontest@1.2 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-arm@1.14-4 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=interplot
Licenses: Expat
Build system: r
Synopsis: Plot the Effects of Variables in Interaction Terms
Description:

Plots the conditional coefficients ("marginal effects") of variables included in multiplicative interaction terms.

r-indago 1.0.3
Propagated dependencies: r-upsetr@1.4.0 r-upsetjs@1.11.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-svglite@2.2.2 r-spscomps@0.3.4.0 r-shinywidgets@0.9.0 r-shinyjs@2.1.0 r-shinyfiles@0.9.3 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-seqinr@4.2-36 r-rintrojs@0.3.4 r-reshape2@1.4.5 r-readr@2.1.6 r-r-devices@2.17.2 r-plotly@4.11.0 r-pheatmap@1.0.13 r-paletteer@1.6.0 r-memuse@4.2-3 r-matrixstats@1.5.0 r-magrittr@2.0.4 r-htmltools@0.5.8.1 r-hmisc@5.2-4 r-heatmaply@1.6.0 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-fs@1.6.6 r-dt@0.34.0 r-dplyr@1.1.4 r-data-table@1.17.8 r-checkmate@2.3.3 r-callr@3.7.6 r-bslib@0.9.0 r-bsicons@0.1.2 r-bigtabulate@1.1.9
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/inDAGOverse/inDAGO
Licenses: GPL 3+
Build system: r
Synopsis: GUI for Dual and Bulk RNA-Sequencing Analysis
Description:

This package provides a shiny app that supports both dual and bulk RNA-seq, with the dual RNA-seq functionality offering the flexibility to perform either a sequential approach (where reads are mapped separately to each genome) or a combined approach (where reads are aligned to a single merged genome). The user-friendly interface automates the analysis process, providing step-by-step guidance, making it easy for users to navigate between different analysis steps, and download intermediate results and publication-ready plots.

r-imagefx 0.4.1
Propagated dependencies: r-signal@1.8-1 r-moments@0.14.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=imagefx
Licenses: GPL 3
Build system: r
Synopsis: Extract Features from Images
Description:

Synthesize images into characteristic features for time-series analysis or machine learning applications. The package was originally intended for monitoring volcanic eruptions in video data by highlighting and extracting regions above the vent associated with plume activity. However, the functions within are general and have wide applications for image processing, analyzing, filtering, and plotting.

r-irishdirectorates 1.5
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IrishDirectorates
Licenses: GPL 3
Build system: r
Synopsis: Dynamic Bipartite Latent Space Model to Analyse Irish Companies' Boards from 2003 to 2013
Description:

This package provides the dataset and an implementation of the method illustrated in Friel, N., Rastelli, R., Wyse, J. and Raftery, A.E. (2016) <DOI:10.1073/pnas.1606295113>.

r-implicitexpansion 0.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/ManuelHentschel/implicitExpansion
Licenses: Expat
Build system: r
Synopsis: Array Operations for Arrays of Mismatching Sizes
Description:

Support for implicit expansion of arrays in operations involving arrays of mismatching sizes. This pattern is known as "broadcasting" in Python and "implicit expansion" in Matlab and is explained for example in the article "Array programming with NumPy" by C. R. Harris et al. (2020) <doi:10.1038/s41586-020-2649-2>.

r-icrsf 1.2
Propagated dependencies: r-rcpp@1.1.0 r-icensmis@1.5.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=icRSF
Licenses: GPL 2+
Build system: r
Synopsis: Modified Random Survival Forest Algorithm
Description:

This package implements a modification to the Random Survival Forests algorithm for obtaining variable importance in high dimensional datasets. The proposed algorithm is appropriate for settings in which a silent event is observed through sequentially administered, error-prone self-reports or laboratory based diagnostic tests. The modified algorithm incorporates a formal likelihood framework that accommodates sequentially administered, error-prone self-reports or laboratory based diagnostic tests. The original Random Survival Forests algorithm is modified by the introduction of a new splitting criterion based on a likelihood ratio test statistic.

r-inzightregression 1.3.5
Propagated dependencies: r-patchwork@1.3.2 r-multcomp@1.4-29 r-inzightplots@2.16.0 r-ggtext@0.1.2 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-ggally@2.4.0 r-dplyr@1.1.4 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://inzight.nz
Licenses: GPL 3
Build system: r
Synopsis: Tools for Exploring Regression Models with 'iNZight'
Description:

This package provides a suite of functions to use with regression models, including summaries, residual plots, and factor comparisons. Used as part of the Model Fitting module of iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions.

r-idmeasurer 1.0.0
Propagated dependencies: r-mass@7.3-65 r-lme4@1.1-37 r-infotheo@1.2.0.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IDmeasurer
Licenses: CC0
Build system: r
Synopsis: Assessment of Individual Identity in Animal Signals
Description:

This package provides tools for assessment and quantification of individual identity information in animal signals. This package accompanies a research article by Linhart et al. (2019) <doi:10.1101/546143>: "Measuring individual identity information in animal signals: Overview and performance of available identity metrics".

r-iar 1.3.2
Propagated dependencies: r-zoo@1.8-14 r-s7@0.2.1 r-rdpack@2.6.4 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/felipeelorrieta
Licenses: GPL 2
Build system: r
Synopsis: Irregularly Observed Autoregressive Models
Description:

Data sets, functions and scripts with examples to implement autoregressive models for irregularly observed time series. The models available in this package are the irregular autoregressive model (Eyheramendy et al.(2018) <doi:10.1093/mnras/sty2487>), the complex irregular autoregressive model (Elorrieta et al.(2019) <doi:10.1051/0004-6361/201935560>) and the bivariate irregular autoregressive model (Elorrieta et al.(2021) <doi:10.1093/mnras/stab1216>).

r-idmc 0.4.1
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-glue@1.8.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/ocha-dap/idmc
Licenses: GPL 3+
Build system: r
Synopsis: Load and Wrangle IDMC Displacement Data
Description:

Utilities to work with data from the Internal Displacement Monitoring Centre (IDMC) (<https://www.internal-displacement.org/>), with convenient functions for loading events data from the IDMC API and transforming events data to daily displacement estimates.

r-iplookupapi 0.1.0
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://iplookupapi.com
Licenses: Expat
Build system: r
Synopsis: Client for the 'iplookupapi.com' IP Lookup API
Description:

An R client for the iplookupapi.com IP Lookup API. The API requires registration of an API key. Basic features are free, some require a paid subscription. You can find the full API documentation at <https://iplookupapi.com/docs> .

r-imagery 0.3.0
Propagated dependencies: r-viridis@0.6.5 r-terra@1.8-86 r-rlang@1.1.6 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=imageRy
Licenses: GPL 2+
Build system: r
Synopsis: Modify and Share Images
Description:

This package provides tools for manipulating, visualizing, and exporting raster images in R. Designed as an educational resource for students learning the basics of remote sensing, the package provides user-friendly functions to apply color ramps, export RGB composites, and create multi-frame visualizations. Built on top of the terra and ggplot2 packages. See <https://github.com/ducciorocchini/imageRy> for more details and examples.

r-ideanet 1.1.1
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-sna@2.8 r-shiny@1.11.1 r-rspectra@0.16-2 r-rlang@1.1.6 r-reshape2@1.4.5 r-readxl@1.4.5 r-network@1.19.0 r-moments@0.14.1 r-matrix@1.7-4 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-intergraph@2.0-4 r-igraphdata@1.0.1 r-igraph@2.2.1 r-gridgraphics@0.5-1 r-ggthemes@5.1.0 r-ggplot2@4.0.1 r-forcats@1.0.1 r-dplyr@1.1.4 r-data-table@1.17.8 r-cowplot@1.2.0 r-concorr@0.2.1 r-colorspace@2.1-2 r-cluster@2.1.8.1 r-cliquepercolation@0.4.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ideanet
Licenses: GPL 3+
Build system: r
Synopsis: Integrating Data Exchange and Analysis for Networks ('ideanet')
Description:

This package provides a suite of convenient tools for social network analysis geared toward students, entry-level users, and non-expert practitioners. â ideanetâ features unique functions for the processing and measurement of sociocentric and egocentric network data. These functions automatically generate node- and system-level measures commonly used in the analysis of these types of networks. Outputs from these functions maximize the ability of novice users to employ network measurements in further analyses while making all users less prone to common data analytic errors. Additionally, â ideanetâ features an R Shiny graphic user interface that allows novices to explore network data with minimal need for coding.

r-infotest 0.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/guliyevh/infotest
Licenses: GPL 3+
Build system: r
Synopsis: Information Matrix Test for Regression Models
Description:

This package implements the Information Matrix test for regression models following Cameron, A. C., & Trivedi, P. K. (1990) <https://cameron.econ.ucdavis.edu/research/imtest_impliedalternatives_ucdwp372.pdf> Decomposes the test into components for heteroscedasticity, skewness, and kurtosis to diagnose specific forms of misspecification. Provides both overall and component-wise statistics for model assessment.

r-isatabr 1.0.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/Biometris/isatabr/
Licenses: GPL 3
Build system: r
Synopsis: Implementation for the ISA Abstract Model
Description:

ISA is a metadata framework to manage an increasingly diverse set of life science, environmental and biomedical experiments. In isatabr methods for reading, modifying and writing of files in the ISA-Tab format are implemented. It also contains methods for processing assay data.

r-ibdfindr 0.3.1
Propagated dependencies: r-ribd@1.7.1 r-pedtools@2.10.0 r-ibdsim2@2.3.2 r-ggplot2@4.0.1 r-forrel@1.8.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/magnusdv/ibdfindr
Licenses: GPL 3+
Build system: r
Synopsis: HMM Toolkit for Inferring IBD Segments from SNP Genotypes
Description:

This package implements continuous-time hidden Markov models (HMMs) to infer identity-by-descent (IBD) segments shared by two individuals from their single-nucleotide polymorphism (SNP) genotypes. Provides posterior probabilities at each marker (forward-backward algorithm), prediction of IBD segments (Viterbi algorithm), and functions for visualising results. Supports both autosomal data and X-chromosomal data.

r-itensor 1.0.2
Propagated dependencies: r-rtensor@1.4.9 r-mixomics@6.34.0 r-mgcv@1.9-4 r-mass@7.3-65 r-jointdiag@0.4 r-groupica@0.1.1 r-geigen@2.3 r-einsum@0.1.2
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/rikenbit/iTensor
Licenses: Expat
Build system: r
Synopsis: ICA-Based Matrix/Tensor Decomposition
Description:

Some functions for performing ICA, MICA, Group ICA, and Multilinear ICA are implemented. ICA, MICA/Group ICA, and Multilinear ICA extract statistically independent components from single matrix, multiple matrices, and single tensor, respectively. For the details of these methods, see the reference section of GitHub README.md <https://github.com/rikenbit/iTensor>.

r-iterpc 0.4.2
Propagated dependencies: r-iterators@1.0.14 r-gmp@0.7-5 r-arrangements@1.1.9
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://randy3k.github.io/iterpc
Licenses: GPL 2
Build system: r
Synopsis: Efficient Iterator for Permutations and Combinations
Description:

Iterator for generating permutations and combinations. They can be either drawn with or without replacement, or with distinct/ non-distinct items (multiset). The generated sequences are in lexicographical order (dictionary order). The algorithms to generate permutations and combinations are memory efficient. These iterative algorithms enable users to process all sequences without putting all results in the memory at the same time. The algorithms are written in C/C++ for faster performance. Note: iterpc is no longer being maintained. Users are recommended to switch to arrangements'.

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