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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-icr 0.6.6
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/staudtlex/icr
Licenses: GPL 2+
Build system: r
Synopsis: Compute Krippendorff's Alpha
Description:

This package provides functions to compute and plot Krippendorff's inter-coder reliability coefficient alpha and bootstrapped uncertainty estimates (Krippendorff 2004, ISBN:0761915443). The bootstrap routines are set up to make use of parallel threads where supported.

r-iclustervb 0.1.4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/AbdalkarimA/iClusterVB
Licenses: Expat
Build system: r
Synopsis: Fast Integrative Clustering and Feature Selection for High Dimensional Data
Description:

This package provides a variational Bayesian approach for fast integrative clustering and feature selection, facilitating the analysis of multi-view, mixed type, high-dimensional datasets with applications in fields like cancer research, genomics, and more.

r-indexr 0.2.2
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://lharris421.github.io/indexr/
Licenses: GPL 3
Build system: r
Synopsis: Thoughtful Saver of Results
Description:

Helps with the thoughtful saving, reading, and management of result files (using rds files). The core functions take a list of parameters that are used to generate a unique hash to save results under. Then, the same parameter list can be used to read those results back in. This is helpful to avoid clunky file naming when running a large number of simulations. Additionally, helper functions are available for compiling a flat file of parameters of saved results, monitoring result usage, and cleaning up unwanted or unused results. For more information, visit the indexr homepage <https://lharris421.github.io/indexr/>.

r-ipsfs 1.0.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ipsfs
Licenses: GPL 2
Build system: r
Synopsis: Intuitionistic, Pythagorean, and Spherical Fuzzy Similarity Measure
Description:

Advanced fuzzy logic based techniques are implemented to compute the similarity among different objects or items. Typically, application areas consist of transforming raw data into the corresponding advanced fuzzy logic representation and determining the similarity between two objects using advanced fuzzy similarity techniques in various fields of research, such as text classification, pattern recognition, software projects, decision-making, medical diagnosis, and market prediction. Functions are designed to compute the membership, non-membership, hesitant-membership, indeterminacy-membership, and refusal-membership for the input matrices. Furthermore, it also includes a large number of advanced fuzzy logic based similarity measure functions to compute the Intuitionistic fuzzy similarity (IFS), Pythagorean fuzzy similarity (PFS), and Spherical fuzzy similarity (SFS) between two objects or items based on their fuzzy relationships. It also includes working examples for each function with sample data sets.

r-ipmrf 1.3
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IPMRF
Licenses: GPL 3
Build system: r
Synopsis: Intervention in Prediction Measure for Random Forests
Description:

Computes intervention in prediction measure for assessing variable importance for random forests. See details at I. Epifanio (2017) <DOI:10.1186/s12859-017-1650-8>.

r-incompair 0.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IncomPair
Licenses: GPL 2+
Build system: r
Synopsis: Comparison of Means for the Incomplete Paired Data
Description:

This package implements a variety of nonparametric and parametric methods that are commonly used when the data set is a mixture of paired observations and independent samples. The package also calculates and returns values of different tests with their corresponding p-values. Bhoj, D. S. (1991) <doi:10.1002/bimj.4710330108> "Testing equality of means in the presence of correlation and missing data". Dubnicka, S. R., Blair, R. C., and Hettmansperger, T. P. (2002) <doi:10.22237/jmasm/1020254460> "Rank-based procedures for mixed paired and two-sample designs". Einsporn, R. L. and Habtzghi, D. (2013) <https://pdfs.semanticscholar.org/89a3/90bafeb2bc41ed4414533cfd5ab84a6b54b6.pdf> "Combining paired and two-sample data using a permutation test". Ekbohm, G. (1976) <doi:10.1093/biomet/63.2.299> "On comparing means in the paired case with incomplete data on both responses". Lin, P. E. and Stivers, L. E. (1974) <doi:10.1093/biomet/61.2.325> On difference of means with incomplete data". Maritz, J. S. (1995) <doi:10.1111/j.1467-842x.1995.tb00649.x> "A permutation paired test allowing for missing values".

r-irepro 1.2
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=iRepro
Licenses: GPL 3
Build system: r
Synopsis: Reproducibility for Interval-Censored Data
Description:

Calculates intraclass correlation coefficient (ICC) for assessing reproducibility of interval-censored data with two repeated measurements (Kovacic and Varnai (2014) <doi:10.1097/EDE.0000000000000139>). ICC is estimated by maximum likelihood from model with one fixed and one random effect (both intercepts). Help in model checking (normality of subjects means and residuals) is provided.

r-isoboost 1.0.2
Propagated dependencies: r-rpart@4.1.24 r-isotone@1.1-2 r-iso@0.0-21
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=isoboost
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Isotonic Boosting Classification Rules
Description:

In classification problems a monotone relation between some predictors and the classes may be assumed. In this package isoboost we propose new boosting algorithms, based on LogitBoost, that incorporate this isotonicity information, yielding more accurate and easily interpretable rules.

r-isobxr 2.0.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/ttacail/isobxr
Licenses: GPL 3
Build system: r
Synopsis: Stable Isotope Box Modelling in R
Description:

This package provides a set of functions to run simple and composite box-models to describe the dynamic or static distribution of stable isotopes in open or closed systems. The package also allows the sweeping of many parameters in both static and dynamic conditions. The mathematical models used in this package are derived from Albarede, 1995, Introduction to Geochemical Modelling, Cambridge University Press, Cambridge <doi:10.1017/CBO9780511622960>.

r-innsight 0.3.2
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://bips-hb.github.io/innsight/
Licenses: Expat
Build system: r
Synopsis: Get the Insights of Your Neural Network
Description:

Interpretation methods for analyzing the behavior and individual predictions of modern neural networks in a three-step procedure: Converting the model, running the interpretation method, and visualizing the results. Implemented methods are, e.g., Connection Weights described by Olden et al. (2004) <doi:10.1016/j.ecolmodel.2004.03.013>, layer-wise relevance propagation ('LRP') described by Bach et al. (2015) <doi:10.1371/journal.pone.0130140>, deep learning important features ('DeepLIFT') described by Shrikumar et al. (2017) <doi:10.48550/arXiv.1704.02685> and gradient-based methods like SmoothGrad described by Smilkov et al. (2017) <doi:10.48550/arXiv.1706.03825>, Gradient x Input or Vanilla Gradient'. Details can be found in the accompanying scientific paper: Koenen & Wright (2024, Journal of Statistical Software, <doi:10.18637/jss.v111.i08>).

r-imbalancedatrel 0.1.6
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://doi.org/10.1007/s10994-025-06755-8
Licenses: Expat
Build system: r
Synopsis: Relocated Data Oversampling for Imbalanced Data Classification
Description:

Relocates oversampled data from a specific oversampling method to cover area determined by pure and proper class cover catch digraphs (PCCCD). It prevents any data to be generated in class overlapping area. For more details, see the corresponding publication: F. SaÄ lam (2025) <doi:10.1007/s10994-025-06755-8>.

r-ibmsunburst 0.1.4
Propagated dependencies: r-jsonlite@2.0.0 r-htmlwidgets@1.6.4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/jumpingrivers/ibmsunburst
Licenses: Expat
Build system: r
Synopsis: Generate Personality Insights Sunburst Diagrams
Description:

Generates Personality Insights sunburst diagrams based on IBM Watson Personality Insights service output.

r-ivo-table 0.7.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/mthulin/ivo.table
Licenses: Expat
Build system: r
Synopsis: Nicely Formatted Contingency Tables and Frequency Tables
Description:

Nicely formatted frequency tables and contingency tables (1-way, 2-way, 3-way and 4-way tables), that can easily be exported to HTML or Office documents. Designed to work with pipes.

r-imagery 0.4.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=imageRy
Licenses: Expat
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-igraphwalshdata 0.1.0
Propagated dependencies: r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/benyamindsmith/igraphwalshdata
Licenses: FSDG-compatible
Build system: r
Synopsis: 'igraph' Datasets from Melanie Walsh
Description:

Interesting igraph datasets from Melanie Walsh's sample social network datasets repository <https://github.com/melaniewalsh/sample-social-network-datasets>.

r-idetect 0.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IDetect
Licenses: GPL 3
Build system: r
Synopsis: Isolate-Detect Methodology for Multiple Change-Point Detection
Description:

This package provides efficient implementation of the Isolate-Detect methodology for the consistent estimation of the number and location of multiple change-points in one-dimensional data sequences from the "deterministic + noise" model. For details on the Isolate-Detect methodology, please see Anastasiou and Fryzlewicz (2018) <https://docs.wixstatic.com/ugd/24cdcc_6a0866c574654163b8255e272bc0001b.pdf>. Currently implemented scenarios are: piecewise-constant signal with Gaussian noise, piecewise-constant signal with heavy-tailed noise, continuous piecewise-linear signal with Gaussian noise, continuous piecewise-linear signal with heavy-tailed noise.

r-i18n 0.2.0
Propagated dependencies: r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/rich-iannone/i18n
Licenses: Expat
Build system: r
Synopsis: Internationalization Data from the 'Unicode CLDR' in Tabular Form
Description:

Up-to-date data from the Unicode CLDR Project (where CLDR stands for Common Locale Data Repository') are available here as a series of easy-to-parse datasets. Several functions are provided for extracting key elements from the tabular datasets.

r-icdcomorbid 1.0.0
Propagated dependencies: r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=icdcomorbid
Licenses: Expat
Build system: r
Synopsis: Mapping ICD Codes to Comorbidity
Description:

This package provides tools for mapping International Classification of Diseases codes to comorbidity, enabling the identification and analysis of various medical conditions within healthcare data.

r-idbr 1.2
Propagated dependencies: r-stringr@1.6.0 r-sf@1.0-23 r-rnaturalearthdata@1.0.0 r-purrr@1.2.0 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4 r-countrycode@1.6.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=idbr
Licenses: Expat
Build system: r
Synopsis: R Interface to the US Census Bureau International Data Base API
Description:

Use R to make requests to the US Census Bureau's International Data Base API. Results are returned as R data frames. For more information about the IDB API, visit <https://www.census.gov/data/developers/data-sets/international-database.html>.

r-isoweek 0.6-2
Propagated dependencies: r-stringr@1.6.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ISOweek
Licenses: GPL 2+
Build system: r
Synopsis: Week of the year and weekday according to ISO 8601
Description:

This is an substitute for the %V and %u formats which are not implemented on Windows. In addition, the package offers functions to convert from standard calender format yyyy-mm-dd to and from ISO 8601 week format yyyy-Www-d.

r-icmstate 0.2.0
Propagated dependencies: r-survival@3.8-3 r-rcpp@1.1.0 r-prodlim@2025.04.28 r-mstate@0.3.3 r-msm@1.8.2 r-jops@0.2.0 r-igraph@2.2.1 r-ggplot2@4.0.1 r-desolve@1.40 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=icmstate
Licenses: GPL 2+
Build system: r
Synopsis: Interval Censored Multi-State Models
Description:

Allows for the non-parametric estimation of transition intensities in interval-censored multi-state models using the approach of Gomon and Putter (2024) <doi:10.48550/arXiv.2409.07176> or Gu et al. (2023) <doi:10.1093/biomet/asad073>.

r-installr 0.23.4
Propagated dependencies: r-stringr@1.6.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://talgalili.github.io/installr/
Licenses: GPL 2
Build system: r
Synopsis: Using R to Install Stuff on Windows OS (Such As: R, 'Rtools', 'RStudio', 'Git', and More!)
Description:

R is great for installing software. Through the installr package you can automate the updating of R (on Windows, using updateR()) and install new software. Software installation is initiated through a GUI (just run installr()), or through functions such as: install.Rtools(), install.pandoc(), install.git(), and many more. The updateR() command performs the following: finding the latest R version, downloading it, running the installer, deleting the installation file, copy and updating old packages to the new R installation.

r-islr 1.4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://www.statlearning.com
Licenses: GPL 2
Build system: r
Synopsis: Data for an Introduction to Statistical Learning with Applications in R
Description:

We provide the collection of data-sets used in the book An Introduction to Statistical Learning with Applications in R'.

r-iccbeta 1.2.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://tmsalab.github.io/iccbeta/
Licenses: GPL 2+
Build system: r
Synopsis: Multilevel Model Intraclass Correlation for Slope Heterogeneity
Description:

This package provides a function and vignettes for computing an intraclass correlation described in Aguinis & Culpepper (2015) <doi:10.1177/1094428114563618>. This package quantifies the share of variance in a dependent variable that is attributed to group heterogeneity in slopes.

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Total results: 21457