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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-iccalib 1.0.8
Propagated dependencies: r-survival@3.8-3 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-numderiv@2016.8-1.1 r-msm@1.8.2 r-mass@7.3-65 r-icsurv@1.0.1 r-icenreg@2.0.16 r-fitdistrplus@1.2-4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ICcalib
Licenses: GPL 2+
Build system: r
Synopsis: Cox Model with Interval-Censored Starting Time of a Covariate
Description:

Calibration and risk-set calibration methods for fitting Cox proportional hazard model when a binary covariate is measured intermittently. Methods include functions to fit calibration models from interval-censored data and modified partial likelihood for the proportional hazard model, Nevo et al. (2018+) <arXiv:1801.01529>.

r-issuetracker 1.3.1
Propagated dependencies: r-yaml@2.3.10 r-gh@1.5.0 r-crayon@1.5.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/TanguyBarthelemy/IssueTrackeR
Licenses: Expat
Build system: r
Synopsis: List Things to Do
Description:

Manage a GitHub problem using R: wrangle issues, labels and milestones. It includes functions for storing, prioritizing (sorting), displaying, adding, deleting, and selecting (filtering) issues based on qualitative and quantitative information. Issues (labels and milestones) are written in lists and categorized into the S3 class to be easily manipulated as datasets in R.

r-igate 0.3.3
Propagated dependencies: r-xtable@1.8-4 r-stringr@1.6.0 r-rmarkdown@2.30 r-knitr@1.50 r-kableextra@1.4.0 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/stefan-stein/igate
Licenses: GPL 3
Build system: r
Synopsis: Guided Analytics for Testing Manufacturing Parameters
Description:

An implementation of the initial guided analytics for parameter testing and controlband extraction framework. Functions are available for continuous and categorical target variables as well as for generating standardized reports of the conducted analysis. See <https://github.com/stefan-stein/igate> for more information on the technology.

r-iasd 1.1.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IASD
Licenses: GPL 2+
Build system: r
Synopsis: Model Selection for Index of Asymmetry Distribution
Description:

Calculate AIC's and AICc's of unimodal model (one normal distribution) and bimodal model(a mixture of two normal distributions) which fit the distribution of indices of asymmetry (IAS), and plot their density, to help determine IAS distribution is unimodal or bimodal.

r-icamp 1.5.12
Propagated dependencies: r-vegan@2.7-2 r-permute@0.9-8 r-nortest@1.0-4 r-minpack-lm@1.2-4 r-hmisc@5.2-4 r-dirichletreg@0.7-2 r-data-table@1.17.8 r-bigmemory@4.6.4 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/DaliangNing/iCAMP1
Licenses: GPL 2
Build system: r
Synopsis: Infer Community Assembly Mechanisms by Phylogenetic-Bin-Based Null Model Analysis
Description:

To implement a general framework to quantitatively infer Community Assembly Mechanisms by Phylogenetic-bin-based null model analysis, abbreviated as iCAMP (Ning et al 2020) <doi:10.1038/s41467-020-18560-z>. It can quantitatively assess the relative importance of different community assembly processes, such as selection, dispersal, and drift, for both communities and each phylogenetic group ('bin'). Each bin usually consists of different taxa from a family or an order. The package also provides functions to implement some other published methods, including neutral taxa percentage (Burns et al 2016) <doi:10.1038/ismej.2015.142> based on neutral theory model and quantifying assembly processes based on entire-community null models ('QPEN', Stegen et al 2013) <doi:10.1038/ismej.2013.93>. It also includes some handy functions, particularly for big datasets, such as phylogenetic and taxonomic null model analysis at both community and bin levels, between-taxa niche difference and phylogenetic distance calculation, phylogenetic signal test within phylogenetic groups, midpoint root of big trees, etc. Version 1.3.x mainly improved the function for QPEN and added function icamp.cate() to summarize iCAMP results for different categories of taxa (e.g. core versus rare taxa).

r-ictest 0.3-6
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-survey@4.4-8 r-rcpproll@0.3.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-progress@1.2.3 r-png@0.1-8 r-mvtnorm@1.3-3 r-jade@2.0-4 r-icsnp@1.1-2 r-ics@1.4-2 r-ggplot2@4.0.1 r-ggally@2.4.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ICtest
Licenses: GPL 2+
Build system: r
Synopsis: Estimating and Testing the Number of Interesting Components in Linear Dimension Reduction
Description:

For different linear dimension reduction methods like principal components analysis (PCA), independent components analysis (ICA) and supervised linear dimension reduction tests and estimates for the number of interesting components (ICs) are provided.

r-isdparser 0.4.0
Propagated dependencies: r-tibble@3.3.0 r-lubridate@1.9.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://docs.ropensci.org/isdparserhttps://github.com/ropensci/isdparser
Licenses: Expat
Build system: r
Synopsis: Parse 'NOAA' Integrated Surface Data Files
Description:

This package provides tools for parsing NOAA Integrated Surface Data ('ISD') files, described at <https://www.ncdc.noaa.gov/isd>. Data includes for example, wind speed and direction, temperature, cloud data, sea level pressure, and more. Includes data from approximately 35,000 stations worldwide, though best coverage is in North America/Europe/Australia. Data is stored as variable length ASCII character strings, with most fields optional. Included are tools for parsing entire files, or individual lines of data.

r-iso8601 0.1.2
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/djvanderlaan/iso8601/tree/main/R-package
Licenses: GPL 3
Build system: r
Synopsis: Working with ISO8601 Dates and Times
Description:

This package provides functions to parse strings with ISO8601 dates, times, and date-times into R-objects. Additionally, there are functions to determine the type of ISO8601 string and to standardise ISO8601 strings.

r-ifo 0.2.3
Propagated dependencies: r-rvest@1.0.5 r-readxl@1.4.5 r-data-table@1.17.8 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://m-muecke.github.io/ifo/
Licenses: Expat
Build system: r
Synopsis: Client for the Ifo Institute Time Series
Description:

Download ifo business survey data and more time series from ifo institute <https://www.ifo.de/en/ifo-time-series>.

r-indicator 0.1.3
Propagated dependencies: r-norm@1.0-11.1 r-missmethods@0.4.0 r-factominer@2.12
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/GianmarcoBorrata/Indicator
Licenses: FSDG-compatible
Build system: r
Synopsis: Composite 'Indicator' Construction and Imputation Data
Description:

Different functions includes constructing composite indicators, imputing missing data, and evaluating imputation techniques. Additionally, different tools for data normalization. Detailed methodologies of Indicator package are: OECD/European Union/EC-JRC (2008), "Handbook on Constructing Composite Indicators: Methodology and User Guide", OECD Publishing, Paris, <DOI:10.1787/533411815016>, Matteo Mazziotta & Adriano Pareto, (2018) "Measuring Well-Being Over Time: The Adjusted Mazziottaâ Pareto Index Versus Other Non-compensatory Indices" <DOI:10.1007/s11205-017-1577-5> and De Muro P., Mazziotta M., Pareto A. (2011), "Composite Indices of Development and Poverty: An Application to MDGs" <DOI:10.1007/s11205-010-9727-z>.

r-iraceplot 2.1.0
Propagated dependencies: r-withr@3.0.2 r-viridislite@0.4.2 r-truncnorm@1.0-9 r-tidyr@1.3.1 r-tibble@3.3.0 r-rmarkdown@2.30 r-rlang@1.1.6 r-plotly@4.11.0 r-matrixstats@1.5.0 r-labeling@0.4.3 r-knitr@1.50 r-irace@4.3 r-gridextra@2.3 r-ggplot2@4.0.1 r-ggforce@0.5.0 r-fs@1.6.6 r-forcats@1.0.1 r-dt@0.34.0 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://auto-optimization.github.io/iraceplot/
Licenses: Expat
Build system: r
Synopsis: Plots for Visualizing the Data Produced by the 'irace' Package
Description:

Graphical visualization tools for analyzing the data produced by irace'. The iraceplot package enables users to analyze the performance and the parameter space data sampled by the configuration during the search process. It provides a set of functions that generate different plots to visualize the configurations sampled during the execution of irace and their performance. The functions just require the log file generated by irace and, in some cases, they can be used with user-provided data.

r-itraxr 1.13.2
Propagated dependencies: r-tiff@0.1-12 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-readr@2.1.6 r-plyr@1.8.9 r-munsellinterpol@3.2-0 r-janitor@2.2.1 r-ggplot2@4.0.1 r-ggcorrplot@0.1.4.1 r-dplyr@1.1.4 r-compositions@2.0-9 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/tombishop1/itraxR/
Licenses: GPL 3+
Build system: r
Synopsis: Itrax Data Analysis Tools
Description:

Parse, trim, join, visualise and analyse data from Itrax sediment core multi-parameter scanners manufactured by Cox Analytical Systems, Sweden. Functions are provided for parsing XRF-peak area files, line-scan optical images, and radiographic images, alongside accompanying metadata. A variety of data wrangling tasks like trimming, joining and reducing XRF-peak area data are simplified. Multivariate methods are implemented with appropriate data transformation.

r-indtestpp 3.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IndTestPP
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Tests of Independence and Analysis of Dependence Between Point Processes in Time
Description:

It provides a general framework to analyse dependence between point processes in time. It includes parametric and non-parametric tests to study independence, and functions for generating and analysing different types of dependence.

r-image-cornerdetectionf9 0.1.1
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/bnosac/image
Licenses: FreeBSD
Build system: r
Synopsis: Find Corners in Digital Images with FAST-9
Description:

An implementation of the "FAST-9" corner detection algorithm explained in the paper FASTER and better: A machine learning approach to corner detection by Rosten E., Porter R. and Drummond T. (2008), available at <doi:10.48550/arXiv.0810.2434>. The package allows to detect corners in digital images.

r-ihpdr 1.2.1
Propagated dependencies: r-xml2@1.5.0 r-tidyr@1.3.1 r-rvest@1.0.5 r-rlang@1.1.6 r-readxl@1.4.5 r-purrr@1.2.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-httr@1.4.7 r-dplyr@1.1.4 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/kvasilopoulos/ihpdr
Licenses: GPL 3
Build system: r
Synopsis: Download Data from the International House Price Database
Description:

Web scraping the <https://www.dallasfed.org> for up-to-date data on international house prices and exuberance indicators. Download data in tidy format.

r-interim 0.8.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=interim
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Scheduling Interim Analyses in Clinical Trials
Description:

Allows the simulation of the recruitment and both the event and treatment phase of a clinical trial. Based on these simulations, the timing of interim analyses can be assessed.

r-itsdm 0.2.2
Propagated dependencies: r-tidyselect@1.2.1 r-stringr@1.6.0 r-stars@0.6-8 r-sf@1.0-23 r-rocit@2.1.2 r-rlang@1.1.6 r-raster@3.6-32 r-patchwork@1.3.2 r-outliertree@1.10.0 r-ncdf4@1.24 r-mgcv@1.9-4 r-isotree@0.6.1-4 r-ggplot2@4.0.1 r-fastshap@0.1.1 r-dplyr@1.1.4 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/LLeiSong/itsdm
Licenses: Expat
Build system: r
Synopsis: Isolation Forest-Based Presence-Only Species Distribution Modeling
Description:

Collection of R functions to do purely presence-only species distribution modeling with isolation forest (iForest) and its variations such as Extended isolation forest and SCiForest. See the details of these methods in references: Liu, F.T., Ting, K.M. and Zhou, Z.H. (2008) <doi:10.1109/ICDM.2008.17>, Hariri, S., Kind, M.C. and Brunner, R.J. (2019) <doi:10.1109/TKDE.2019.2947676>, Liu, F.T., Ting, K.M. and Zhou, Z.H. (2010) <doi:10.1007/978-3-642-15883-4_18>, Guha, S., Mishra, N., Roy, G. and Schrijvers, O. (2016) <https://proceedings.mlr.press/v48/guha16.html>, Cortes, D. (2021) <doi:10.48550/arXiv.2110.13402>. Additionally, Shapley values are used to explain model inputs and outputs. See details in references: Shapley, L.S. (1953) <doi:10.1515/9781400881970-018>, Lundberg, S.M. and Lee, S.I. (2017) <https://dm-gatech.github.io/CS8803-Fall2018-DML-Papers/shapley.pdf>, Molnar, C. (2020) <ISBN:978-0-244-76852-2>, Å trumbelj, E. and Kononenko, I. (2014) <doi:10.1007/s10115-013-0679-x>. itsdm also provides functions to diagnose variable response, analyze variable importance, draw spatial dependence of variables and examine variable contribution. As utilities, the package includes a few functions to download bioclimatic variables including WorldClim version 2.0 (see Fick, S.E. and Hijmans, R.J. (2017) <doi:10.1002/joc.5086>) and CMCC-BioClimInd (see Noce, S., Caporaso, L. and Santini, M. (2020) <doi:10.1038/s41597-020-00726-5>.

r-integratebs 0.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IntegrateBs
Licenses: GPL 2
Build system: r
Synopsis: Integration for B-Spline
Description:

Integrated B-spline function.

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@1.6
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-iwaqr 1.8.4
Propagated dependencies: r-scales@1.4.0 r-ggthemes@5.1.0 r-ggrepel@0.9.6 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=iwaqr
Licenses: GPL 3+
Build system: r
Synopsis: Irrigation Water Quality Assessment and Visualizations
Description:

Calculates irrigation water quality ratios and has functions that could be used to plot several popular diagrams for irrigation water quality classification.

r-icd-data 1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=icd.data
Licenses: GPL 3
Build system: r
Synopsis: International Classifcation of Diseases (ICD) Data
Description:

Data from the United States Center for Medicare and Medicaid Services (CMS) is included in this package. There are ICD-9 and ICD-10 diagnostic and procedure codes, and lists of the chapter and sub-chapter headings and the ranges of ICD codes they encompass. There are also two sample datasets. These data are used by the icd package for finding comorbidities.

r-idsl-ufax 1.9.1
Propagated dependencies: r-readxl@1.4.5 r-rcppalgos@2.9.3 r-idsl-ufa@2.0 r-idsl-ipa@2.9
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/idslme/idsl.ufax
Licenses: Expat
Build system: r
Synopsis: Exhaustive Chemical Enumeration for United Formula Annotation
Description:

This package provides a pipeline to annotate a number of peaks from the IDSL.IPA peaklists using an exhaustive chemical enumeration-based approach. This package can perform elemental composition calculations using the following 15 elements : C, B, Br, Cl, K, S, Si, N, H, As, F, I, Na, O, and P.

r-iblm 1.0.2
Propagated dependencies: r-xgboost@1.7.11.1 r-withr@3.0.2 r-statmod@1.5.1 r-scales@1.4.0 r-purrr@1.2.0 r-ggplot2@4.0.1 r-ggextra@0.11.0 r-fastdummies@1.7.5 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://ifoa-adswp.github.io/IBLM/
Licenses: Expat
Build system: r
Synopsis: Interpretable Boosted Linear Models
Description:

This package implements Interpretable Boosted Linear Models (IBLMs). These combine a conventional generalized linear model (GLM) with a machine learning component, such as XGBoost. The package also provides tools within for explaining and analyzing these models. For more details see Gawlowski and Wang (2025) <https://ifoa-adswp.github.io/IBLM/reference/figures/iblm_paper.pdf>.

r-imbibe 0.1.1
Propagated dependencies: r-rnifti@1.8.0 r-rcpp@1.1.0 r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/jonclayden/imbibe
Licenses: FSDG-compatible
Build system: r
Synopsis: Pipe-Friendly Image Calculator
Description:

This package provides a set of fast, chainable image-processing operations which are applicable to images of two, three or four dimensions, particularly medical images.

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