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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 search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-semnetcleaner 1.3.7
Propagated dependencies: r-stringi@1.8.7 r-stringdist@0.9.17 r-shiny@1.13.0 r-semnetdictionaries@0.2.1 r-searcher@0.0.7 r-rstudioapi@0.18.0 r-readxl@1.5.0 r-r-matlab@3.7.0 r-pbapply@1.7-4 r-foreign@0.8-91
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/AlexChristensen/SemNetCleaner
Licenses: GPL 3+
Build system: r
Synopsis: An Automated Cleaning Tool for Semantic and Linguistic Data
Description:

This package implements several functions that automates the cleaning and spell-checking of text data. Also converges, finalizes, removes plurals and continuous strings, and puts text data in binary format for semantic network analysis. Uses the SemNetDictionaries package to make the cleaning process more accurate, efficient, and reproducible.

r-sanfranbeachwater 0.1.0
Propagated dependencies: r-xml2@1.5.2 r-tibble@3.3.1 r-rvest@1.0.5 r-readr@2.2.0 r-magrittr@2.0.5 r-lubridate@1.9.5 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SanFranBeachWater
Licenses: Expat
Build system: r
Synopsis: Downloads and Tidies the San Francisco Public Utilities Commission Beach Water Quality Monitoring Program Data
Description:

Downloads and tidies the San Francisco Public Utilities Commission Beach Water Quality Monitoring Program data. Data sets can be downloaded per beach, or the raw data can be downloaded. See <https://sfwater.org/cfapps/lims/beachmain1.cfm>.

r-sgdgmf 1.0.1
Propagated dependencies: r-viridislite@0.4.3 r-suppdists@1.1-9.9 r-rspectra@0.16-2 r-reshape2@1.4.5 r-rcpparmadillo@15.2.6-1 r-rcpp@1.1.1-1.1 r-mass@7.3-65 r-ggpubr@0.6.3 r-ggplot2@4.0.3 r-generics@0.1.4 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/CristianCastiglione/sgdGMF
Licenses: Expat
Build system: r
Synopsis: Estimation of Generalized Matrix Factorization Models via Stochastic Gradient Descent
Description:

Efficient framework to estimate high-dimensional generalized matrix factorization models using penalized maximum likelihood under a dispersion exponential family specification. Either deterministic and stochastic methods are implemented for the numerical maximization. In particular, the package implements the stochastic gradient descent algorithm with a block-wise mini-batch strategy to speed up the computations and an efficient adaptive learning rate schedule to stabilize the convergence. All the theoretical details can be found in Castiglione et al. (2024, <doi:10.48550/arXiv.2412.20509>). Other methods considered for the optimization are the alternated iterative re-weighted least squares and the quasi-Newton method with diagonal approximation of the Fisher information matrix discussed in Kidzinski et al. (2022, <http://jmlr.org/papers/v23/20-1104.html>).

r-smartmap 0.2.0
Propagated dependencies: r-sf@1.1-1 r-magrittr@2.0.5 r-leaflet@2.2.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/s-fleck/smartmap
Licenses: Expat
Build system: r
Synopsis: Smartly Create Maps from R Objects
Description:

Preview spatial data as leaflet maps with minimal effort. smartmap is optimized for interactive use and distinguishes itself from similar packages because it does not need real spatial ('sp or sf') objects an input; instead, it tries to automatically coerce everything that looks like spatial data to sf objects or leaflet maps. It - for example - supports direct mapping of: a vector containing a single coordinate pair, a two column matrix, a data.frame with longitude and latitude columns, or the path or URL to a (possibly compressed) shapefile'.

r-starwarsdb 0.1.3
Propagated dependencies: r-tibble@3.3.1 r-magrittr@2.0.5 r-duckdb@1.5.2 r-dbi@1.3.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/gadenbuie/starwarsdb
Licenses: Expat
Build system: r
Synopsis: Relational Data from the 'Star Wars' API for Learning and Teaching
Description:

This package provides data about the Star Wars movie franchise in a set of relational tables or as a complete DuckDB database. All data was collected from the open source Star Wars API.

r-stacr 0.1.0
Propagated dependencies: r-tibble@3.3.1 r-rstac@1.0.1 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/null-island-labs/stacr
Licenses: Expat
Build system: r
Synopsis: Tidy 'STAC' Workflows for R
Description:

Wraps the rstac package with a pipe-friendly, tidy API. All results return tibbles instead of nested lists. Ships with a catalog registry of known STAC endpoints including Planetary Computer, Earth Search, and USGS', while supporting any STAC API URL.

r-sonar 1.0.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sonar
Licenses: GPL 3+
Build system: r
Synopsis: Fundamental Formulas for Sonar
Description:

Formulas for calculating sound velocity, water pressure, depth, density, absorption and sonar equations.

r-stats4teaching 0.1.0
Propagated dependencies: r-rstatix@0.7.3 r-pwr@1.3-0 r-psych@2.6.5 r-nortest@1.0-4 r-mvn@6.3 r-mass@7.3-65 r-knitr@1.51 r-clustergeneration@1.3.8 r-car@3.1-5 r-asbio@1.13-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stats4teaching
Licenses: GPL 3
Build system: r
Synopsis: Simulate Pedagogical Statistical Data
Description:

Univariate and multivariate normal data simulation. They also supply a brief summary of the analysis for each experiment/design: - Independent samples. - One-way and two-way Anova. - Paired samples (T-Test & Regression). - Repeated measures (Anova & Multiple Regression). - Clinical Assay.

r-smartmeteranalytics 1.1.1
Propagated dependencies: r-zoo@1.8-15 r-stinepack@1.5 r-plyr@1.8.9 r-futile-logger@1.4.9 r-fnn@1.1.4.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SmartMeterAnalytics
Licenses: Expat
Build system: r
Synopsis: Methods for Smart Meter Data Analysis
Description:

This package provides methods for analysis of energy consumption data (electricity, gas, water) at different data measurement intervals. The package provides feature extraction methods and algorithms to prepare data for data mining and machine learning applications. Deatiled descriptions of the methods and their application can be found in Hopf (2019, ISBN:978-3-86309-669-4) "Predictive Analytics for Energy Efficiency and Energy Retailing" <doi:10.20378/irbo-54833> and Hopf et al. (2016) <doi:10.1007/s12525-018-0290-9> "Enhancing energy efficiency in the residential sector with smart meter data analytics".

r-selcorr 1.0
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=selcorr
Licenses: GPL 3
Build system: r
Synopsis: Post-Selection Inference for Generalized Linear Models
Description:

Calculates (unconditional) post-selection confidence intervals and p-values for the coefficients of (generalized) linear models.

r-stv 1.0.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jayemerson/STV
Licenses: LGPL 3
Build system: r
Synopsis: Single Transferable Vote Counting
Description:

Implementations of the Single Transferable Vote counting system. By default, it uses the Cambridge method for surplus allocation and Droop method for quota calculation. Fractional surplus allocation and the Hare quota are available as options.

r-snha 0.1.3
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/mittelmark/snha
Licenses: Expat
Build system: r
Synopsis: Creating Correlation Networks using St. Nicolas House Analysis
Description:

Create correlation networks using St. Nicolas House Analysis ('SNHA'). The package can be used for visualizing multivariate data similar to Principal Component Analysis or Multidimensional Scaling using a ranking approach. In contrast to MDS and PCA', SNHA uses a network approach to explore interacting variables. For details see Hermanussen et. al. 2021', <doi:10.3390/ijerph18041741>.

r-sas7bdat 0.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sas7bdat
Licenses: GPL 2+
Build system: r
Synopsis: sas7bdat Reverse Engineering Documentation
Description:

Documentation and prototypes for the earliest (circa 2010) open-source effort to reverse engineer the sas7bdat file format. The package includes a prototype reader for sas7bdat files. However, newer packages may contain more robust readers for sas7bdat files.

r-symtensor 0.1.0
Propagated dependencies: r-rtensor@1.5.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=symTensor
Licenses: Expat
Build system: r
Synopsis: Symmetric Matrix and Tensor Decomposition
Description:

This package provides symmetric matrix and tensor operations and decomposition algorithms including symmetric NMF (symNMF), PageRank, Label Propagation, Higher-order Power Method, and TOPHITS. Designed to work with rTensor objects. Methods are described in Kuang et al. (2012) <doi:10.1137/1.9781611972825.10>, Kolda and Mayo (2011) <doi:10.1137/100801482>, and Kolda and Bader (2006) <doi:10.1137/1.9781611972764.26>.

r-spada 0.1.6
Propagated dependencies: r-writexl@1.5.4 r-waiter@0.2.5-1.927501b r-shinywidgets@0.9.1 r-shiny@1.13.0 r-rlang@1.2.0 r-qs2@0.2.1 r-mirai@2.7.0 r-htmltools@0.5.9 r-haven@2.5.5 r-gt@1.3.0 r-ggplot2@4.0.3 r-desctools@0.99.60 r-data-table@1.18.4 r-collapse@2.1.7 r-bslib@0.11.0 r-bsicons@0.1.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/lgschuck/spada
Licenses: AGPL 3+
Build system: r
Synopsis: 'shiny' Package for Data Analysis
Description:

This package provides a shiny application with a user-friendly interface for interactive data analysis. It supports exploratory data analysis through descriptive statistics, data visualization, statistical tests (e.g., normality assessment), linear modeling, data import, transformation and reporting. For more details see Shapiro and Wilk (1965) <doi:10.2307/2333709>.

r-smartdesign 0.74
Propagated dependencies: r-knitr@1.51
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=smartDesign
Licenses: GPL 3+
Build system: r
Synopsis: Sequential Multiple Assignment Randomized Trial Design
Description:

SMART trial design, as described by He, J., McClish, D., Sabo, R. (2021) <doi:10.1080/19466315.2021.1883472>, includes multiple stages of randomization, where participants are randomized to an initial treatment in the first stage and then subsequently re-randomized between treatments in the following stage.

r-snapchatadsr 0.1.0
Propagated dependencies: r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://windsor.ai/
Licenses: GPL 3
Build system: r
Synopsis: Get Snapchat Ads Data via the 'Windsor.ai' API
Description:

Collect your data on digital marketing campaigns from Snapchat Ads using the Windsor.ai API <https://windsor.ai/api-fields/>.

r-scriptexec 0.3.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/sagiegurari/scriptexec
Licenses: ASL 2.0
Build system: r
Synopsis: Execute Native Scripts
Description:

Run complex native scripts with a single command, similar to system commands.

r-saber 0.7.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/cornball-ai/saber
Licenses: FSDG-compatible
Build system: r
Synopsis: Context Engineering for Large Language Model Agents
Description:

Context-engineering primitives for Artificial Intelligence (AI) coding agents working in R. Assembles agent context from memory and instruction files ('AGENTS.md', CLAUDE.md'), traces function call blast radius across projects, generates project briefings, parses source into Abstract Syntax Tree (AST) symbol indices, discovers dependency graphs, and introspects installed packages. Zero dependencies.

r-studentlife 1.1.0
Propagated dependencies: r-visdat@0.6.0 r-tidyr@1.3.2 r-tibble@3.3.1 r-skimr@2.2.2 r-readr@2.2.0 r-r-utils@2.13.0 r-purrr@1.2.2 r-jsonlite@2.0.0 r-ggplot2@4.0.3 r-dplyr@1.2.1 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Frycast/studentlife
Licenses: GPL 3
Build system: r
Synopsis: Tidy Handling and Navigation of the Student-Life Dataset
Description:

Download, navigate and analyse the Student-Life dataset. The Student-Life dataset contains passive and automatic sensing data from the phones of a class of 48 Dartmouth college students. It was collected over a 10 week term. Additionally, the dataset contains ecological momentary assessment results along with pre-study and post-study mental health surveys. The intended use is to assess mental health, academic performance and behavioral trends. The raw dataset and additional information is available at <https://studentlife.cs.dartmouth.edu/>.

r-spurs 2.0.3
Propagated dependencies: r-mass@7.3-65 r-lattice@0.22-9
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spuRs
Licenses: GPL 3
Build system: r
Synopsis: Functions and Datasets for "Introduction to Scientific Programming and Simulation Using R"
Description:

This package provides functions and datasets from Jones, O.D., R. Maillardet, and A.P. Robinson. 2014. An Introduction to Scientific Programming and Simulation, Using R. 2nd Ed. Chapman And Hall/CRC.

r-soma 1.2.0
Propagated dependencies: r-reportr@1.3.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jonclayden/soma/
Licenses: GPL 2
Build system: r
Synopsis: General-Purpose Optimisation with the Self-Organising Migrating Algorithm
Description:

An R implementation of the Self-Organising Migrating Algorithm, a general-purpose, stochastic optimisation algorithm. The approach is similar to that of genetic algorithms, although it is based on the idea of a series of ``migrations by a fixed set of individuals, rather than the development of successive generations. It can be applied to any cost-minimisation problem with a bounded parameter space, and is robust to local minima.

r-specdetec 1.0.0
Propagated dependencies: r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SpecDetec
Licenses: GPL 3
Build system: r
Synopsis: Change Points Detection with Spectral Clustering
Description:

Calculate change point based on spectral clustering with the option to automatically calculate the number of clusters if this information is not available.

r-smidm 1.0
Propagated dependencies: r-extradistr@1.10.0.4 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://gitlab.cc-asp.fraunhofer.de/ester/smidm
Licenses: Modified BSD
Build system: r
Synopsis: Statistical Modelling for Infectious Disease Management
Description:

Statistical models for specific coronavirus disease 2019 use cases at German local health authorities. All models of Statistical modelling for infectious disease management smidm are part of the decision support toolkit in the EsteR project. More information is published in Sonja Jäckle, Rieke Alpers, Lisa Kühne, Jakob Schumacher, Benjamin Geisler, Max Westphal "'EsteR â A Digital Toolkit for COVID-19 Decision Support in Local Health Authorities" (2022) <doi:10.3233/SHTI220799> and Sonja Jäckle, Elias Röger, Volker Dicken, Benjamin Geisler, Jakob Schumacher, Max Westphal "A Statistical Model to Assess Risk for Supporting COVID-19 Quarantine Decisions" (2021) <doi:10.3390/ijerph18179166>.

Total packages: 72465