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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-imd 1.2.2
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/humaniverse/IMD
Licenses: Expat
Build system: r
Synopsis: Index of Multiple Deprivation Data for the UK
Description:

Index of Multiple Deprivation for UK nations at various geographical levels. In England, deprivation data is for Lower Layer Super Output Areas, Middle Layer Super Output Areas, Wards, and Local Authorities based on data from <https://www.gov.uk/government/statistics/english-indices-of-deprivation-2019>. In Wales, deprivation data is for Lower Layer Super Output Areas, Middle Layer Super Output Areas, Wards, and Local Authorities based on data from <https://gov.wales/welsh-index-multiple-deprivation-full-index-update-ranks-2019>. In Scotland, deprivation data is for Data Zones, Intermediate Zones, and Council Areas based on data from <https://simd.scot>. In Northern Ireland, deprivation data is for Super Output Areas and Local Government Districts based on data from <https://www.nisra.gov.uk/statistics/deprivation/northern-ireland-multiple-deprivation-measure-2017-nimdm2017>. The IMD package also provides the composite UK index developed by <https://github.com/mysociety/composite_uk_imd>.

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-icv 1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ICV
Licenses: GPL 2
Build system: r
Synopsis: Indirect Cross-Validation (ICV) for Kernel Density Estimation
Description:

This package provides functions for computing the global and local Gaussian density estimates based on the ICV bandwidth. See the article of Savchuk, O.Y., Hart, J.D., Sheather, S.J. (2010). Indirect cross-validation for density estimation. Journal of the American Statistical Association, 105(489), 415-423 <doi:10.1198/jasa.2010.tm08532>.

r-icosa 0.12.0
Propagated dependencies: r-sp@2.2-0 r-sf@1.0-23 r-rcpp@1.1.0 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://icosa-grid.github.io/R-icosa/
Licenses: GPL 3
Build system: r
Synopsis: Global Triangular and Penta-Hexagonal Grids Based on Tessellated Icosahedra
Description:

Implementation of icosahedral grids in three dimensions. The spherical-triangular tessellation can be set to create grids with custom resolutions. Both the primary triangular and their inverted penta-hexagonal grids can be calculated. Additional functions are provided that allow plotting of the grids and associated data, the interaction of the grids with other raster and vector objects, and treating the grids as a graphs.

r-icenreg 2.0.16
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=icenReg
Licenses: FSDG-compatible
Build system: r
Synopsis: Regression Models for Interval Censored Data
Description:

Regression models for interval censored data. Currently supports Cox-PH, proportional odds, and accelerated failure time models. Allows for semi and fully parametric models (parametric only for accelerated failure time models) and Bayesian parametric models. Includes functions for easy visual diagnostics of model fits and imputation of censored data.

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-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-irtdemo 0.1.5
Propagated dependencies: r-shiny@1.11.1 r-fgarch@4052.93
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=irtDemo
Licenses: GPL 2+
Build system: r
Synopsis: Item Response Theory Demo Collection
Description:

Includes a collection of shiny applications to demonstrate or to explore fundamental item response theory (IRT) concepts such as estimation, scoring, and multidimensional IRT models.

r-informativesci 1.0.4
Dependencies: openjdk@25
Propagated dependencies: r-mvtnorm@1.3-3 r-gmcp@0.8-17
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/LianeKluge/informativeSCI
Licenses: Expat
Build system: r
Synopsis: Informative Simultaneous Confidence Intervals
Description:

Calculation of informative simultaneous confidence intervals for graphical described multiple test procedures and given information weights. Bretz et al. (2009) <doi:10.1002/sim.3495> and Brannath et al. (2024) <doi:10.48550/arXiv.2402.13719>. Furthermore, exploration of the behavior of the informative bounds in dependence of the information weights. Comparisons with compatible bounds are possible. Strassburger and Bretz (2008) <doi:10.1002/sim.3338>.

r-isingsampler 0.2.4
Propagated dependencies: r-rcpp@1.1.0 r-plyr@1.8.9 r-nnet@7.3-20 r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/SachaEpskamp/IsingSampler
Licenses: GPL 2
Build system: r
Synopsis: Sampling Methods and Distribution Functions for the Ising Model
Description:

Sample states from the Ising model and compute the probability of states. Sampling can be done for any number of nodes, but due to the intractibility of the Ising model the distribution can only be computed up to ~10 nodes.

r-inctools 1.0.15
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: http://www.incidence-estimation.org/page/inctools
Licenses: GPL 3
Build system: r
Synopsis: Incidence Estimation Tools
Description:

This package provides tools for estimating incidence from biomarker data in cross- sectional surveys, and for calibrating tests for recent infection. Implements and extends the method of Kassanjee et al. (2012) <doi:10.1097/EDE.0b013e3182576c07>.

r-idm 1.8.3
Propagated dependencies: r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-corpcor@1.6.10 r-ca@0.71.1 r-animation@2.8
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=idm
Licenses: GPL 2+
Build system: r
Synopsis: Incremental Decomposition Methods
Description:

Incremental Multiple Correspondence Analysis and Principal Component Analysis.

r-ino 1.2.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://loelschlaeger.de/ino/
Licenses: GPL 3+
Build system: r
Synopsis: Initialization of Numerical Optimization
Description:

Analysis of the initialization for numerical optimization of real-valued functions, particularly likelihood functions of statistical models. See <https://loelschlaeger.de/ino/> for more details.

r-iplgp 2.0.5
Propagated dependencies: r-sommer@4.4.4 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/py-chung/IPLGP
Licenses: GPL 2
Build system: r
Synopsis: Identification of Parental Lines via Genomic Prediction
Description:

Combining genomic prediction with Monte Carlo simulation, three different strategies are implemented to select parental lines for multiple traits in plant breeding. The selection strategies include (i) GEBV-O considers only genomic estimated breeding values (GEBVs) of the candidate individuals; (ii) GD-O considers only genomic diversity (GD) of the candidate individuals; and (iii) GEBV-GD considers both GEBV and GD. The above method can be seen in Chung PY, Liao CT (2020) <doi:10.1371/journal.pone.0243159>. Multi-trait genomic best linear unbiased prediction (MT-GBLUP) model is used to simultaneously estimate GEBVs of the target traits, and then a selection index is adopted to evaluate the composite performance of an individual.

r-italy 0.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=italy
Licenses: CC0
Build system: r
Synopsis: The Italian Survey on Household and Wealth, 2008 and 2010
Description:

This package provides two record linkage data sets on the Italian Survey on Household and Wealth, 2008 and 2010, a sample survey conducted by the Bank of Italy every two years. The 2010 survey covered 13,702 individuals, while the 2008 survey covered 13,734 individuals. The following categorical variables are included in this data set: year of birth, working status, employment status, branch of activity, town size, geographical area of birth, sex, whether or not Italian national, and highest educational level obtained. Unique identifiers are available to assess the accuracy of oneâ s method. Please see Steorts (2015) <DOI:10.1214/15-BA965SI> to find more details about the data set.

r-inspectionplanner 1.2
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=InspectionPlanner
Licenses: GPL 3
Build system: r
Synopsis: Phytosanitary Inspection Sampling Planner
Description:

This package provides a shiny application to assist in phytosanitary inspections. It generates a diagram of pallets in a lot, highlights the units to be sampled, and documents them based on the selected sampling method (simple random or systematic sampling).

r-isowater 1.2.1
Propagated dependencies: r-r2winbugs@2.1-24 r-r2jags@0.8-9 r-jsonlite@2.0.0 r-httr@1.4.7 r-foreach@1.5.2 r-doparallel@1.0.17 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=isoWater
Licenses: GPL 3
Build system: r
Synopsis: Discovery, Retrieval, and Analysis of Water Isotope Data
Description:

The wiDB...() functions provide an interface to the public API of the wiDB <https://github.com/SPATIAL-Lab/isoWater/blob/master/Protocol.md>: build, check and submit queries, and receive and unpack responses. Data analysis functions support Bayesian inference of the source and source isotope composition of water samples that may have experienced evaporation. Algorithms adapted from Bowen et al. (2018, <doi:10.1007/s00442-018-4192-5>).

r-image-cannyedges 0.1.1
Dependencies: libpng@1.6.39 fftw@3.3.10
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: GPL 3
Build system: r
Synopsis: Implementation of the Canny Edge Detector for Images
Description:

An implementation of the Canny Edge Detector for detecting edges in images. The package provides an interface to the algorithm available at <https://github.com/Neseb/canny>.

r-iccde 0.3.8
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=iccde
Licenses: GPL 2+
Build system: r
Synopsis: Computation of the Double-Entry Intraclass Correlation
Description:

The functions compute the double-entry intraclass correlation, which is an index of profile similarity (Furr, 2010; McCrae, 2008). The double-entry intraclass correlation is a more precise index of the agreement of two empirically observed profiles than the often-used intraclass correlation (McCrae, 2008). Profiles comprising correlations are automatically transformed according to the Fisher z-transformation before the double-entry intraclass correlation is calculated. If the profiles comprise scores such as sum scores from various personality scales, it is recommended to standardize each individual score prior to computation of the double-entry intraclass correlation (McCrae, 2008). See Furr (2010) <doi:10.1080/00223890903379134> or McCrae (2008) <doi:10.1080/00223890701845104> for details.

r-iqcc 0.7
Propagated dependencies: r-qcc@2.7 r-misctools@0.6-28 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://flaviobarros.github.io/IQCC
Licenses: GPL 2 FSDG-compatible
Build system: r
Synopsis: Improved Quality Control Charts
Description:

Builds statistical control charts with exact limits for univariate and multivariate cases.

r-icensmis 1.5.0
Propagated dependencies: 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=icensmis
Licenses: GPL 2+
Build system: r
Synopsis: Study Design and Data Analysis in the Presence of Error-Prone Diagnostic Tests and Self-Reported Outcomes
Description:

We consider studies in which information from error-prone diagnostic tests or self-reports are gathered sequentially to determine the occurrence of a silent event. Using a likelihood-based approach incorporating the proportional hazards assumption, we provide functions to estimate the survival distribution and covariate effects. We also provide functions for power and sample size calculations for this setting. Please refer to Xiangdong Gu, Yunsheng Ma, and Raji Balasubramanian (2015) <doi: 10.1214/15-AOAS810>, Xiangdong Gu and Raji Balasubramanian (2016) <doi: 10.1002/sim.6962>, Xiangdong Gu, Mahlet G Tadesse, Andrea S Foulkes, Yunsheng Ma, and Raji Balasubramanian (2020) <doi: 10.1186/s12911-020-01223-w>.

r-inters 0.2.0
Propagated dependencies: r-glmnet@4.1-10 r-fixest@0.13.2
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://mattblackwell.github.io/inters/
Licenses: GPL 2+
Build system: r
Synopsis: Flexible Tools for Estimating Interactions
Description:

This package provides a set of functions to estimate interactions flexibly in the face of possibly many controls. Implements the procedures described in Blackwell and Olson (2022) <doi:10.1017/pan.2021.19>.

r-inext-beta3d 1.0.2
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://sites.google.com/view/chao-lab-website/software/inext-beta3d
Licenses: GPL 3+
Build system: r
Synopsis: Interpolation and Extrapolation with Beta Diversity for Three Dimensions of Biodiversity
Description:

As a sequel to iNEXT', the iNEXT.beta3D package provides functions to compute standardized taxonomic, phylogenetic, and functional diversity (3D) estimates with a common sample size (for alpha and gamma diversity) or sample coverage (for alpha, beta, gamma diversity as well as dissimilarity or turnover indices). Hill numbers and their generalizations are used to quantify 3D and to make multiplicative decomposition (gamma = alpha x beta). The package also features size- and coverage-based rarefaction and extrapolation sampling curves to facilitate rigorous comparison of beta diversity across datasets. See Chao et al. (2023) <doi:10.1002/ecm.1588> for more details.

r-intnmf 1.3.0
Propagated dependencies: r-nmf@0.28 r-mclust@6.1.2 r-mass@7.3-65 r-intersim@2.3.0 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IntNMF
Licenses: GPL 2
Build system: r
Synopsis: Integrative Clustering of Multiple Genomic Dataset
Description:

Carries out integrative clustering analysis using multiple types of genomic dataset using integrative Non-negative Matrix factorization.

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