_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

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-scutr 0.2.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/s-kganz/scutr
Licenses: Expat
Build system: r
Synopsis: Balancing Multiclass Datasets for Classification Tasks
Description:

Imbalanced training datasets impede many popular classifiers. To balance training data, a combination of oversampling minority classes and undersampling majority classes is useful. This package implements the SCUT (SMOTE and Cluster-based Undersampling Technique) algorithm as described in Agrawal et. al. (2015) <doi:10.5220/0005595502260234>. Their paper uses model-based clustering and synthetic oversampling to balance multiclass training datasets, although other resampling methods are provided in this package.

r-scottknott 1.3-3
Propagated dependencies: r-xtable@1.8-4 r-doby@4.7.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ivanalaman/ScottKnott
Licenses: GPL 2+
Build system: r
Synopsis: The ScottKnott Clustering Algorithm
Description:

Perform the balanced (Scott and Knott, 1974) and unbalanced <doi:10.1590/1984-70332017v17n1a1> Scott & Knott algorithm.

r-survidinri 1.1-2
Propagated dependencies: r-survival@3.8-3 r-survc1@1.0-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=survIDINRI
Licenses: GPL 2
Build system: r
Synopsis: IDI and NRI for Comparing Competing Risk Prediction Models with Censored Survival Data
Description:

This package performs inference for a class of measures to compare competing risk prediction models with censored survival data. The class includes the integrated discrimination improvement index (IDI) and category-less net reclassification index (NRI).

r-ssimmap 0.1.1
Propagated dependencies: r-terra@1.8-86 r-sf@1.0-23 r-scales@1.4.0 r-knitr@1.50 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Hailyee-Ha/SSIMmap
Licenses: Expat
Build system: r
Synopsis: The Structural Similarity Index Measure for Maps
Description:

Extends the classical SSIM method proposed by Wang', Bovik', Sheikh', and Simoncelli'(2004) <doi:10.1109/TIP.2003.819861>. for irregular lattice-based maps and raster images. The geographical SSIM method incorporates well-developed geographically weighted summary statistics'('Brunsdon', Fotheringham and Charlton 2002) <doi:10.1016/S0198-9715(01)00009-6> with an adaptive bandwidth kernel function for irregular lattice-based maps.

r-spatialcatalogueviewer 0.2.0
Propagated dependencies: r-shinythemes@1.2.0 r-shiny@1.11.1 r-leaflet@2.2.3 r-dt@0.34.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/sebastien-plutniak/spatialCatalogueViewer
Licenses: GPL 3
Build system: r
Synopsis: 'Shiny' Tool to Create Interactive Catalogues for Geospatial Data
Description:

Seamlessly create interactive online catalogues for geospatial data. Items can be mapped as points or areas and retrieved using either a map or a dynamic table with search form and optional column filters.

r-scbursts 1.6
Propagated dependencies: r-tibble@3.3.0 r-readxl@1.4.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=scbursts
Licenses: LGPL 2.1
Build system: r
Synopsis: Single Channel Bursts Analysis
Description:

This package provides tools to import and export from several existing pieces of ion-channel analysis software such as TAC', QUB', SCAN', and Clampfit', implements procedures such as dwell-time correction and defining bursts with a critical time, and provides tools for analysis of bursts, such as tools for sorting and plotting.

r-spatgc 0.1.0
Propagated dependencies: r-spdep@1.4-1 r-sf@1.0-23 r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/mahsanst/SpatGC
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Modeling of Spatial Count Data
Description:

This package provides a collection of functions for preparing data and fitting Bayesian count spatial regression models, with a specific focus on the Gamma-Count (GC) model. The GC model is well-suited for modeling dispersed count data, including under-dispersed or over-dispersed counts, or counts with equivalent dispersion, using Integrated Nested Laplace Approximations (INLA). The package includes functions for generating data from the GC model, as well as spatially correlated versions of the model. See Nadifar, Baghishani, Fallah (2023) <doi:10.1007/s13253-023-00550-5>.

r-samtx 0.3.0
Propagated dependencies: r-bart@2.9.10
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SAMTx
Licenses: Expat
Build system: r
Synopsis: Sensitivity Assessment to Unmeasured Confounding with Multiple Treatments
Description:

This package provides a sensitivity analysis approach for unmeasured confounding in observational data with multiple treatments and a binary outcome. This approach derives the general bias formula and provides adjusted causal effect estimates in response to various assumptions about the degree of unmeasured confounding. Nested multiple imputation is embedded within the Bayesian framework to integrate uncertainty about the sensitivity parameters and sampling variability. Bayesian Additive Regression Model (BART) is used for outcome modeling. The causal estimands are the conditional average treatment effects (CATE) based on the risk difference. For more details, see paper: Hu L et al. (2020) A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data <arXiv:2012.06093>.

r-simplace 5.1.2
Dependencies: openjdk@25
Propagated dependencies: r-rjava@1.0-11
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/gk-crop/simplace_rpkg/
Licenses: GPL 2
Build system: r
Synopsis: Interface to Use the Modelling Framework 'SIMPLACE'
Description:

Interface to interact with the modelling framework SIMPLACE and to parse the results of simulations.

r-speech 0.1.5
Propagated dependencies: r-tm@0.7-16 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rvest@1.0.5 r-purrr@1.2.0 r-pdftools@3.6.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Nicolas-Schmidt/speech
Licenses: GPL 3
Build system: r
Synopsis: Legislative Speeches
Description:

Converts the floor speeches of Uruguayan legislators, extracted from the parliamentary minutes, to tidy data.frame where each observation is the intervention of a single legislator.

r-slimrec 0.1.0
Propagated dependencies: r-pbapply@1.7-4 r-matrix@1.7-4 r-glmnet@4.1-10 r-bigmemory@4.6.4 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=slimrec
Licenses: GPL 3
Build system: r
Synopsis: Sparse Linear Method to Predict Ratings and Top-N Recommendations
Description:

Sparse Linear Method(SLIM) predicts ratings and top-n recommendations suited for sparse implicit positive feedback systems. SLIM is decomposed into multiple elasticnet optimization problems which are solved in parallel over multiple cores. The package is based on "SLIM: Sparse Linear Methods for Top-N Recommender Systems" by Xia Ning and George Karypis <doi:10.1109/ICDM.2011.134>.

r-smarterpoland 1.8.1
Propagated dependencies: r-rjson@0.2.23 r-jsonlite@2.0.0 r-httr@1.4.7 r-htmltools@0.5.8.1 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SmarterPoland
Licenses: GPL 3
Build system: r
Synopsis: Tools for Accessing Various Datasets Developed by the Foundation SmarterPoland.pl
Description:

This package provides tools for accessing and processing datasets prepared by the Foundation SmarterPoland.pl. Among all: access to API of Google Maps, Central Statistical Office of Poland, MojePanstwo, Eurostat, WHO and other sources.

r-smartp 0.1.1
Propagated dependencies: r-sn@2.1.1 r-mvtnorm@1.3-3 r-covr@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/bandyopd/SMARTp
Licenses: LGPL 2.0+
Build system: r
Synopsis: Sample Size for SMART Designs in Non-Surgical Periodontal Trials
Description:

Sample size calculation to detect dynamic treatment regime (DTR) effects based on change in clinical attachment level (CAL) outcomes from a non-surgical chronic periodontitis treatments study. The experiment is performed under a Sequential Multiple Assignment Randomized Trial (SMART) design. The clustered tooth (sub-unit) level CAL outcomes are skewed, spatially-referenced, and non-randomly missing. The implemented algorithm is available in Xu et al. (2019+) <arXiv:1902.09386>.

r-survivalvignettes 0.1.6
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/bethatkinson/survivalVignettes
Licenses: LGPL 2.0+
Build system: r
Synopsis: Survival Analysis Vignettes and Optional Datasets
Description:

Vignettes for the survival package. Split from the survival package since the vignettes were getting large. Also, since survival is a recommended package it cannot make use of other packages outside of base+recommended (e.g. rmarkdown').

r-susenas 0.1.0
Propagated dependencies: r-readxl@1.4.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SUSENAS
Licenses: GPL 3
Build system: r
Synopsis: National Socio-Economic Survey Data Collection Indonesia
Description:

Survey to collect data about the social and economic conditions of Indonesian society. This activity aims to include: As a data source for planning and evaluating national, sectoral development programs, and providing indicators for Sustainable Development Goals (TPB), National Medium Term Development Plan (RPJMN), and Nawacita, GDP/GRDP and annual Integrated Institutional Balance Sheet.

r-simico 0.2.0
Propagated dependencies: r-icskat@0.3.0 r-fastghquad@1.0.1 r-compquadform@1.4.4 r-bindata@0.9-24
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SIMICO
Licenses: GPL 3
Build system: r
Synopsis: Set-Based Inference for Multiple Interval-Censored Outcomes
Description:

This package contains tests for association between a set of genetic variants and multiple correlated outcomes that are interval censored. Interval-censored data arises when the exact time of the onset of an outcome of interest is unknown but known to fall between two time points.

r-sitools 1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sitools
Licenses: GPL 3
Build system: r
Synopsis: Format a number to a string with SI prefix
Description:

Format a number (or a list of numbers) to a string (or a list of strings) with SI prefix. Use SI prefixes as constants like (4 * milli)^2.

r-svd 0.5.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/asl/svd
Licenses: Modified BSD
Build system: r
Synopsis: Interfaces to Various State-of-Art SVD and Eigensolvers
Description:

R bindings to SVD and eigensolvers (PROPACK, nuTRLan).

r-somadataio 6.5.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-readxl@1.4.5 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://somalogic.github.io/SomaDataIO/
Licenses: Expat
Build system: r
Synopsis: Input/Output 'SomaScan' Data
Description:

Load and export SomaScan data via the SomaLogic Operating Co., Inc. structured text file called an ADAT ('*.adat'). For file format see <https://github.com/SomaLogic/SomaLogic-Data/blob/main/README.md>. The package also exports auxiliary functions for manipulating, wrangling, and extracting relevant information from an ADAT object once in memory.

r-stakeholderanalysis 1.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://www.r-project.org
Licenses: GPL 2+
Build system: r
Synopsis: Measuring Stakeholder Influence
Description:

Proposes an original instrument for measuring stakeholder influence on the development of an infrastructure project that is carried through by a municipality, drawing on stakeholder classifications (Mitchell, Agle, & Wood, 1997) and input-output modelling (Hester & Adams, 2013). Mitchell R., Agle B.R., & Wood D.J. <doi:10.2307/259247> Hester, P.T., & Adams, K.M. (2013) <doi:10.1016/j.procs.2013.09.282>.

r-survexp-fr 1.2
Propagated dependencies: r-writexls@6.8.0 r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=survexp.fr
Licenses: GPL 2+
Build system: r
Synopsis: Relative Survival, AER and SMR Based on French Death Rates
Description:

It computes Relative survival, AER and SMR based on French death rates.

r-spray 1.0-27
Propagated dependencies: r-stringr@1.6.0 r-rcpp@1.1.0 r-partitions@1.10-9 r-magic@1.6-1 r-disordr@0.9-8-5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/RobinHankin/spray
Licenses: GPL 2+
Build system: r
Synopsis: Sparse Arrays and Multivariate Polynomials
Description:

Sparse arrays interpreted as multivariate polynomials. Uses disordR discipline (Hankin, 2022, <doi:10.48550/ARXIV.2210.03856>). To cite the package in publications please use Hankin (2022) <doi:10.48550/ARXIV.2210.10848>.

r-slendr 1.4.0
Propagated dependencies: r-tidyr@1.3.1 r-scales@1.4.0 r-reticulate@1.44.1 r-readr@2.1.6 r-purrr@1.2.0 r-png@0.1-8 r-magrittr@2.0.4 r-ijtiff@3.2.0 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-digest@0.6.39 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/bodkan/slendr
Licenses: Expat
Build system: r
Synopsis: Simulation Framework for Spatiotemporal Population Genetics
Description:

This package provides a framework for simulating spatially explicit genomic data which leverages real cartographic information for programmatic and visual encoding of spatiotemporal population dynamics on real geographic landscapes. Population genetic models are then automatically executed by the SLiM software by Haller et al. (2019) <doi:10.1093/molbev/msy228> behind the scenes, using a custom built-in simulation SLiM script. Additionally, fully abstract spatial models not tied to a specific geographic location are supported, and users can also simulate data from standard, non-spatial, random-mating models. These can be simulated either with the SLiM built-in back-end script, or using an efficient coalescent population genetics simulator msprime by Baumdicker et al. (2022) <doi:10.1093/genetics/iyab229> with a custom-built Python script bundled with the R package. Simulated genomic data is saved in a tree-sequence format and can be loaded, manipulated, and summarised using tree-sequence functionality via an R interface to the Python module tskit by Kelleher et al. (2019) <doi:10.1038/s41588-019-0483-y>. Complete model configuration, simulation and analysis pipelines can be therefore constructed without a need to leave the R environment, eliminating friction between disparate tools for population genetic simulations and data analysis.

r-smdocker 0.1.4
Propagated dependencies: r-zip@2.3.3 r-uuid@1.2-1 r-paws-storage@0.9.0 r-paws-security-identity@0.9.0 r-paws-management@0.9.0 r-paws-machine-learning@0.9.0 r-paws-developer-tools@0.9.0 r-paws-compute@0.9.0 r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/DyfanJones/sm-docker
Licenses: Expat
Build system: r
Synopsis: Build 'Docker Images' in 'Amazon SageMaker Studio' using 'Amazon Web Service CodeBuild'
Description:

Allows users to easily build custom docker images <https://docs.docker.com/> from Amazon Web Service Sagemaker <https://aws.amazon.com/sagemaker/> using Amazon Web Service CodeBuild <https://aws.amazon.com/codebuild/>.

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Total results: 69112