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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-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-izid 0.0.1
Propagated dependencies: r-rootsolve@1.8.2.4 r-foreach@1.5.2 r-extradistr@1.10.0 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=iZID
Licenses: Expat
Build system: r
Synopsis: Identify Zero-Inflated Distributions
Description:

Computes bootstrapped Monte Carlo estimate of p value of Kolmogorov-Smirnov (KS) test and likelihood ratio test for zero-inflated count data, based on the work of Aldirawi et al. (2019) <doi:10.1109/BHI.2019.8834661>. With the package, user can also find tools to simulate random deviates from zero inflated or hurdle models and obtain maximum likelihood estimate of unknown parameters in these models.

r-iineq 1.0.2
Propagated dependencies: r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=iIneq
Licenses: GPL 2
Build system: r
Synopsis: Computing Individual Components of the Gini and the Theil Indices
Description:

Computes individual contributions to the overall Gini and Theil's T and Theil's L measures and their decompositions by groups such as race, gender, national origin, with the three functions of iGini(), iTheiT(), and iTheilL(). For details, see Tim F. Liao (2019) <doi:10.1177/0049124119875961>.

r-ioncopy 2.2.2
Propagated dependencies: r-zip@2.3.3 r-shiny@1.11.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ioncopy
Licenses: GPL 3
Build system: r
Synopsis: Calling Copy Number Alterations in Amplicon Sequencing Data
Description:

Method for the calculation of copy numbers and calling of copy number alterations. The algorithm uses coverage data from amplicon sequencing of a sample cohort as input. The method includes significance assessment, correction for multiple testing and does not depend on normal DNA controls. Budczies (2016 Mar 15) <doi:10.18632/oncotarget.7451>.

r-irocode 1.0.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=iRoCoDe
Licenses: GPL 2+
Build system: r
Synopsis: Incomplete Row-Column Designs
Description:

The Row-column designs are widely recommended for experimental situations when there are two well-identified factors that are cross-classified representing known sources of variability. These designs are expected to result a gain in accuracy of estimating treatment comparisons in an experiment as they eliminate the effects of the row and column factors. However, these designs are not readily available when the number of treatments is more than the levels of row and column blocking factors. This package named iRoCoDe generates row-column designs with incomplete rows and columns, by amalgamating two incomplete block designs (D1 and D2). The selection of D1 and D2 (the input designs) can be done from the available incomplete block designs, viz., balanced incomplete block designs/ partially balanced incomplete block designs/ t-designs. (Mcsorley, J.P., Phillips, N.C., Wallis, W.D. and Yucas, J.L. (2005).<doi:10.1007/s10623-003-6149-9>).

r-ifc 0.2.1
Propagated dependencies: r-xml2@1.5.0 r-visnetwork@2.1.4 r-rcpp@1.1.0 r-latticeextra@0.6-31 r-lattice@0.22-7 r-kernsmooth@2.23-26 r-gridgraphics@0.5-1 r-gridextra@2.3 r-dt@0.34.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IFC
Licenses: GPL 3
Build system: r
Synopsis: Tools for Imaging Flow Cytometry
Description:

This package contains several tools to treat imaging flow cytometry data from ImageStream® and FlowSight® cytometers ('Amnis® Cytek®'). Provides an easy and simple way to read and write .fcs, .rif, .cif and .daf files. Information such as masks, features, regions and populations set within these files can be retrieved for each single cell. In addition, raw data such as images stored can also be accessed. Users, may hopefully increase their productivity thanks to dedicated functions to extract, visualize, manipulate and export IFC data. Toy data example can be installed through the IFCdata package of approximately 32 MB, which is available in a drat repository <https://gitdemont.github.io/IFCdata/>. See file COPYRIGHTS and file AUTHORS for a list of copyright holders and authors.

r-istay 1.0.0
Propagated dependencies: r-stringr@1.6.0 r-lmertest@3.1-3 r-lme4@1.1-37 r-ggpubr@0.6.2 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://cran.r-project.org/package=iSTAY
Licenses: GPL 3+
Build system: r
Synopsis: Information-Based Stability and Synchrony Measures
Description:

This package provides functions to to compute a continuum of information-based measures for quantifying the temporal stability of populations, communities, and ecosystems, as well as their associated synchrony, based on species (or species assemblage) biomass or other key variables. When biodiversity data are available, the package also enables the assessment of the corresponding diversityâ stability relationships. All measures are applicable in both temporal and spatial contexts. The theoretical and methodological background is detailed in Chao et al. (2025) <doi:10.1101/2025.08.20.671203>.

r-integratedjm 1.6
Propagated dependencies: r-nlme@3.1-168 r-ggplot2@4.0.1 r-biobase@2.70.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IntegratedJM
Licenses: GPL 3
Build system: r
Synopsis: Joint Modeling of the Gene-Expression and Bioassay Data, Taking Care of the Effect Due to a Fingerprint Feature
Description:

Offers modeling the association between gene-expression and bioassay data, taking care of the effect due to a fingerprint feature and helps with several plots to better understand the analysis.

r-interfaceqpcr 1.0.1
Propagated dependencies: r-xlsx@0.6.5 r-tkrplot@0.0-30 r-reshape2@1.4.5 r-plyr@1.8.9
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=InterfaceqPCR
Licenses: GPL 2
Build system: r
Synopsis: GUI to Analyse qPCR Results after PMA Treatment or not
Description:

Graphical User Interface allowing to determine the concentration in the sample in CFU per mL or in number of copies per mL provided to qPCR results after with or without PMA treatment. This package is simply to use because no knowledge in R commands is necessary. A graphic represents the standard curve, and a table containing the result for each sample is created.

r-incidentally 1.0.4
Propagated dependencies: r-xml2@1.5.0 r-matrix@1.7-4 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://www.zacharyneal.com/backbone
Licenses: GPL 3
Build system: r
Synopsis: Generates Incidence Matrices and Bipartite Graphs
Description:

This package provides functions to generate incidence matrices and bipartite graphs that have (1) a fixed fill rate, (2) given marginal sums, (3) marginal sums that follow given distributions, or (4) represent bill sponsorships in the US Congress <doi:10.31219/osf.io/ectms>. It can also generate an incidence matrix from an adjacency matrix, or bipartite graph from a unipartite graph, via a social process mirroring team, group, or organization formation <doi:10.48550/arXiv.2204.13670>, or examine the space of binary matrices with fixed marginals.

r-itertools2 0.1.1
Propagated dependencies: r-iterators@1.0.14
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/ramhiser/itertools2
Licenses: Expat
Build system: r
Synopsis: itertools2: Functions creating iterators for efficient looping
Description:

This package provides a port of Python's excellent itertools module to R for efficient looping.

r-imfor 0.1.0
Propagated dependencies: r-tidyverse@2.0.0 r-nlme@3.1-168 r-minpack-lm@1.2-4 r-metrics@0.1.4 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ImFoR
Licenses: GPL 3
Build system: r
Synopsis: Non-Linear Height Diameter Models for Forestry
Description:

Tree height is an important dendrometric variable and forms the basis of vertical structure of a forest stand. This package will help to fit and validate various non-linear height diameter models for assessing the underlying relationship that exists between tree height and diameter at breast height in case of conifer trees. This package has been implemented on Naslund, Curtis, Michailoff, Meyer, Power, Michaelis-Menten and Wykoff non linear models using algorithm of Huang et al. (1992) <doi:10.1139/x92-172> and Zeide et al. (1993) <doi:10.1093/forestscience/39.3.594>.

r-idx2r 1.0.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/edoffagne/idx2r
Licenses: Expat
Build system: r
Synopsis: Convert Files to and from IDX Format to Vectors, Matrices and Arrays
Description:

Convert files to and from IDX format to vectors, matrices and arrays. IDX is a very simple file format designed for storing vectors and multidimensional matrices in binary format. The format is described on the website from Yann LeCun <http://yann.lecun.com/exdb/mnist/>.

r-instantiate 0.2.3
Propagated dependencies: r-rlang@1.1.6 r-fs@1.6.6 r-callr@3.7.6
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://wlandau.github.io/instantiate/
Licenses: Expat
Build system: r
Synopsis: Pre-Compiled 'CmdStan' Models in R Packages
Description:

Similar to rstantools for rstan', the instantiate package builds pre-compiled CmdStan models into CRAN-ready statistical modeling R packages. The models compile once during installation, the executables live inside the file systems of their respective packages, and users have the full power and convenience of cmdstanr without any additional compilation after package installation. This approach saves time and helps R package developers migrate from rstan to the more modern cmdstanr'. Packages rstantools', cmdstanr', stannis', and stanapi are similar Stan clients with different objectives.

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-ietd 1.0.0
Propagated dependencies: r-rdpack@2.6.4 r-lubridate@1.9.4 r-ggplot2@4.0.1 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IETD
Licenses: GPL 3
Build system: r
Synopsis: Inter-Event Time Definition
Description:

Computes characteristics of independent rainfall events (duration, total rainfall depth, and intensity) extracted from a sub-daily rainfall time series based on the inter-event time definition (IETD) method. To have a reference value of IETD, it also analyzes/computes IETD values through three methods: autocorrelation analysis, the average annual number of events analysis, and coefficient of variation analysis. Ideal for analyzing the sensitivity of IETD to characteristics of independent rainfall events. Adams B, Papa F (2000) <ISBN: 978-0-471-33217-6>. Joo J et al. (2014) <doi:10.3390/w6010045>. Restrepo-Posada P, Eagleson P (1982) <doi:10.1016/0022-1694(82)90136-6>.

r-icardafigsr 1.0.2
Propagated dependencies: r-sp@2.2-0 r-reshape2@1.4.5 r-raster@3.6-32 r-plyr@1.8.9 r-plotroc@2.3.3 r-magrittr@2.0.4 r-leaflet@2.2.3 r-httr@1.4.7 r-ggplot2@4.0.1 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=icardaFIGSr
Licenses: Expat
Build system: r
Synopsis: Subsetting using Focused Identification of the Germplasm Strategy (FIGS)
Description:

Running Focused Identification of the Germplasm Strategy (FIGS) to make best subsets from Genebank Collection.

r-interpolater 1.4-3
Propagated dependencies: r-terra@1.8-86 r-randomforest@4.7-1.2 r-qmap@1.0-6 r-pbapply@1.7-4 r-future-apply@1.20.0 r-future@1.68.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/Jonnathan-Landi/InterpolateR
Licenses: GPL 3+
Build system: r
Synopsis: Comprehensive Toolkit for Fast and Efficient Spatial Interpolation
Description:

Spatial interpolation toolkit designed for environmental and geospatial applications. It includes a range of methods, from traditional techniques to advanced machine learning approaches, ensuring accurate and efficient estimation of values in unobserved locations.

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-icaod 1.0.2
Propagated dependencies: r-sn@2.1.1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-nloptr@2.2.1 r-mvquad@1.0-8 r-mnormt@2.1.1 r-cubature@2.1.4-1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ICAOD
Licenses: GPL 2+
Build system: r
Synopsis: Optimal Designs for Nonlinear Models via ICA
Description:

Finds optimal designs for nonlinear models using a metaheuristic algorithm called Imperialist Competitive Algorithm (ICA). See, for details, Masoudi et al. (2022) <doi:10.32614/RJ-2022-043>, Masoudi et al. (2017) <doi:10.1016/j.csda.2016.06.014> and Masoudi et al. (2019) <doi:10.1080/10618600.2019.1601097>.

r-isr 2025.5.16
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ISR
Licenses: Expat
Build system: r
Synopsis: The Iterated Score Regression-Based Estimation
Description:

We use the ISR to handle with PCA-based missing data with high correlation, and the DISR to handle with distributed PCA-based missing data. The philosophy of the package is described in Guo G. (2024) <doi:10.1080/03610918.2022.2091779>.

r-importexport 1.3.1
Propagated dependencies: r-writexl@1.5.4 r-rodbc@1.3-26.1 r-readxl@1.4.5 r-hmisc@5.2-4 r-haven@2.5.5 r-gdata@3.0.1 r-chron@2.3-62
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ImportExport
Licenses: GPL 2+
Build system: r
Synopsis: Import and Export Data
Description:

Import and export data from the most common statistical formats by using R functions that guarantee the least loss of the data information, giving special attention to the date variables and the labelled ones.

r-iglu 4.2.2
Propagated dependencies: r-zoo@1.8-14 r-tidyr@1.3.1 r-tibble@3.3.0 r-shiny@1.11.1 r-scales@1.4.0 r-plotly@4.11.0 r-pheatmap@1.0.13 r-patchwork@1.3.2 r-magrittr@2.0.4 r-lubridate@1.9.4 r-hms@1.1.4 r-gtable@0.3.6 r-gridextra@2.3 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dt@0.34.0 r-dplyr@1.1.4 r-catools@1.18.3
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://irinagain.github.io/iglu/
Licenses: GPL 2
Build system: r
Synopsis: Interpreting Glucose Data from Continuous Glucose Monitors
Description:

This package implements a wide range of metrics for measuring glucose control and glucose variability based on continuous glucose monitoring data. The list of implemented metrics is summarized in Rodbard (2009) <doi:10.1089/dia.2009.0015>. Additional visualization tools include time-series plots, lasagna plots and ambulatory glucose profile report.

r-iftpredictor 0.1.0
Propagated dependencies: r-diftree@3.1.6
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IFTPredictor
Licenses: Expat
Build system: r
Synopsis: Predictions Using Item-Focused Tree Models
Description:

This function predicts item response probabilities and item responses using the item-focused tree model. The item-focused tree model combines logistic regression with recursive partitioning to detect Differential Item Functioning in dichotomous items. The model applies partitioning rules to the data, splitting it into homogeneous subgroups, and uses logistic regression within each subgroup to explain the data. Differential Item Functioning detection is achieved by examining potential group differences in item response patterns. This method is useful for understanding how different predictors, such as demographic or psychological factors, influence item responses across subgroups.

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