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


r-sensortowerr 1.0.1
Propagated dependencies: r-tidyr@1.3.2 r-tibble@3.3.1 r-stringr@1.6.0 r-rlang@1.2.0 r-purrr@1.2.2 r-openssl@2.4.1 r-lubridate@1.9.5 r-jsonlite@2.0.0 r-httr2@1.2.2 r-httr@1.4.8 r-glue@1.8.1 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/econosopher/sensortowerR
Licenses: Expat
Build system: r
Synopsis: Interface to 'Sensor Tower' Mobile App Intelligence API
Description:

Interface to the Sensor Tower API <https://app.sensortower.com/api/docs/app_analysis> for mobile app analytics and market intelligence. Provides a small, consistent set of functions to retrieve app metadata, publisher information, download and revenue estimates, active user metrics, category rankings, aggregate game market denominators, and market trends. Four core verbs ('st_metrics', st_rankings', st_app'/'st_apps', st_filter') cover the common workflows with standardized parameters and tidyverse-friendly output. Supports both iOS and Android app ecosystems with unified data structures for cross-platform analysis.

r-sbde 1.0-2
Propagated dependencies: r-extremefit@1.1.0 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sbde
Licenses: GPL 2
Build system: r
Synopsis: Semiparametric Bayesian Density Estimation
Description:

Offers Bayesian semiparametric density estimation and tail-index estimation for heavy tailed data, by using a parametric, tail-respecting transformation of the data to the unit interval and then modeling the transformed data with a purely nonparametric logistic Gaussian process density prior. Based on Tokdar et al. (2022) <doi:10.1080/01621459.2022.2104727>.

r-scutr 0.2.0
Propagated dependencies: r-smotefamily@1.4.0 r-mclust@6.1.2
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-simdistr 1.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=simdistr
Licenses: GPL 2
Build system: r
Synopsis: Assessment of Data Trial Distributions According to the Carlisle-Stouffer Method
Description:

Assessment of the distributions of baseline continuous and categorical variables in randomised trials. This method is based on the Carlisle-Stouffer method with Monte Carlo simulations. It calculates p-values for each trial baseline variable, as well as combined p-values for each trial - these p-values measure how compatible are distributions of trials baseline variables with random sampling. This package also allows for graphically plotting the cumulative frequencies of computed p-values. Please note that code was partly adapted from Carlisle JB, Loadsman JA. (2017) <doi:10.1111/anae.13650>.

r-scopro 0.1.0
Propagated dependencies: r-ggplot2@4.0.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SCOPRO
Licenses: GPL 3
Build system: r
Synopsis: Score Projection Between in 'Vivo' and in 'Vitro' Datasets
Description:

Assigns a score projection from 0 to 1 between a given in vivo stage and each single cluster from an in vitro dataset. The score is assigned based on the the fraction of specific markers of the in vivo stage that are conserved in the in vitro clusters <https://github.com/ScialdoneLab>.

r-statbasics 0.2.3
Propagated dependencies: r-tibble@3.3.1 r-stringr@1.6.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=statBasics
Licenses: Expat
Build system: r
Synopsis: Basic Functions to Statistical Methods Course
Description:

Basic statistical methods with some modifications for the course Statistical Methods at Federal University of Bahia (Brazil). All methods in this packages are explained in the text book of Montgomery and Runger (2010) <ISBN: 978-1-119-74635-5>.

r-shinyclt 0.9.4
Propagated dependencies: r-waiter@0.2.5-1.927501b r-testthat@3.3.2 r-shinywidgets@0.9.1 r-shinythemes@1.2.0 r-shinycssloaders@1.1.0 r-shiny@1.13.0 r-purrr@1.2.2 r-plotly@4.12.0 r-knitr@1.51 r-gamlss@5.5-0 r-future@1.70.0 r-dplyr@1.2.1 r-cachem@1.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=shinyCLT
Licenses: GPL 2
Build system: r
Synopsis: Central Limit Theorem 'shiny' Application
Description:

This package provides a shiny application estimating the operating characteristics of the Student's t-test by Student (1908) <doi:10.1093/biomet/6.1.1>, Welch's t-test by Welch (1947) <doi:10.1093/biomet/34.1-2.28>, and Wilcoxon test by Wilcoxon (1945) <doi:10.2307/3001968> in one-sample or two-sample cases, in settings defined by the user (conditional distribution, sample size per group, location parameter per group, nuisance parameter per group), using Monte Carlo simulations Malvin H. Kalos, Paula A. Whitlock (2008) <doi:10.1002/9783527626212>.

r-ssnbayes 0.0.3
Propagated dependencies: r-ssn2@0.4.0 r-sf@1.1-1 r-rstan@2.32.7 r-plyr@1.8.9 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/EdgarSantos-Fernandez/SSNbayes
Licenses: GPL 2
Build system: r
Synopsis: Bayesian Spatio-Temporal Analysis in Stream Networks
Description:

Fits Bayesian spatio-temporal models and makes predictions on stream networks using the approach by Santos-Fernandez, Edgar, et al. (2022)."Bayesian spatio-temporal models for stream networks". <arXiv:2103.03538>. In these models, spatial dependence is captured using stream distance and flow connectivity, while temporal autocorrelation is modelled using vector autoregression methods.

r-sprt 1.1.0
Propagated dependencies: r-rlang@1.2.0 r-ggplot2@4.0.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SPRT
Licenses: Expat
Build system: r
Synopsis: Sequential Probability Ratio Test (SPRT) Method
Description:

This package provides functions to perform the Sequential Probability Ratio Test (SPRT) for hypothesis testing in Binomial, Poisson and Normal distributions. The package allows users to specify Type I and Type II error probabilities, decision thresholds, and compare null and alternative hypotheses sequentially as data accumulate. It includes visualization tools for plotting the likelihood ratio path and decision boundaries, making it easier to interpret results. The methods are based on Wald (1945) <doi:10.1214/aoms/1177731118>, who introduced the SPRT as one of the earliest and most powerful sequential analysis techniques. This package is useful in quality control, clinical trials, and other applications requiring early decision-making.The term SPRT is an abbreviation and used intentionally.

r-stationary 0.5.1
Propagated dependencies: r-tidyr@1.3.2 r-stringr@1.6.0 r-readr@2.2.0 r-progress@1.2.3 r-magrittr@2.0.5 r-lutz@0.3.2 r-lubridate@1.9.5 r-dplyr@1.2.1 r-downloader@0.4.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/rich-iannone/stationaRy
Licenses: Expat
Build system: r
Synopsis: Detailed Meteorological Data from Stations All Over the World
Description:

Acquire hourly meteorological data from stations located all over the world. There is a wealth of data available, with historic weather data accessible from nearly 30,000 stations. The available data is automatically downloaded from a data repository and processed into a tibble for the exact range of years requested. A relative humidity approximation is provided using the August-Roche-Magnus formula, which was adapted from Alduchov and Eskridge (1996) <doi:10.1175%2F1520-0450%281996%29035%3C0601%3AIMFAOS%3E2.0.CO%3B2>.

r-sihr 2.1.1
Propagated dependencies: r-glmnet@5.0 r-cvxr@1.8.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://zywang0701.github.io/SIHR/
Licenses: GPL 3
Build system: r
Synopsis: Statistical Inference in High Dimensional Regression
Description:

The goal of SIHR is to provide inference procedures in the high-dimensional generalized linear regression setting for: (1) linear functionals <doi:10.48550/arXiv.1904.12891> <doi:10.48550/arXiv.2012.07133>, (2) conditional average treatment effects, (3) quadratic functionals <doi:10.48550/arXiv.1909.01503>, (4) inner product, (5) distance.

r-spacc 0.8.3
Propagated dependencies: r-rcppparallel@5.1.11-2 r-rcpp@1.1.1-1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://gillescolling.com/spacc/
Licenses: Expat
Build system: r
Synopsis: Fast Spatial Species Accumulation Curves
Description:

High-performance spatial species accumulation curves using nearest-neighbor algorithms. Implements kNN and kNCN sampling methods with a C++ backend for speed. Supports Hill numbers (q=0,1,2), beta diversity partitioning (turnover/nestedness), coverage-based rarefaction and extrapolation, phylogenetic diversity (Faith's PD, mean pairwise distance, mean nearest taxon distance), functional diversity accumulation, diversity-area relationships (DAR), endemism-area curves, sampling-effort correction and fragmentation analysis, and species-area relationship (SAR) models based on extreme value theory (EVT). Multiple starting points (seeds) provide uncertainty quantification. Methods are described in Chao et al. (2014) <doi:10.1890/13-0133.1>, Baselga (2010) <doi:10.1111/j.1466-8238.2009.00490.x>, Chao and Jost (2012) <doi:10.1890/11-1952.1>, Faith (1992) <doi:10.1016/0006-3207(92)91201-3>, Ma (2018) <doi:10.1002/ece3.4526>, Borda-de-Agua et al. (2025) <doi:10.1038/s41467-025-59239-7>, Hanski et al. (2013) <doi:10.1073/pnas.1311190110>, and Jost (2007) <doi:10.1890/06-1736.1>.

r-stmotif 2.0.3
Propagated dependencies: r-scales@1.4.0 r-rlang@1.2.0 r-rcolorbrewer@1.1-3 r-ggplot2@4.0.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/heraldoborges/STMotif
Licenses: GPL 3
Build system: r
Synopsis: Discovery of Motifs in Spatial-Time Series
Description:

Allow to identify motifs in spatial-time series. A motif is a previously unknown subsequence of a (spatial) time series with relevant number of occurrences. For this purpose, the Combined Series Approach (CSA) is used.

r-sel 1.0-4
Propagated dependencies: r-quadprog@1.5-8 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=SEL
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Semiparametric Elicitation
Description:

This package implements a method for fitting a bounded probability distribution to quantiles (for example stated by an expert), see Bornkamp and Ickstadt (2009) for details. For this purpose B-splines are used, and the density is obtained by penalized least squares based on a Brier entropy penalty. The package provides methods for fitting the distribution as well as methods for evaluating the underlying density and cdf. In addition methods for plotting the distribution, drawing random numbers and calculating quantiles of the obtained distribution are provided.

r-spdesign 0.0.5
Propagated dependencies: r-tibble@3.3.1 r-stringr@1.6.0 r-randtoolbox@2.0.5 r-matrixstats@1.5.0 r-future@1.70.0 r-dplyr@1.2.1 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://spdesign.edsandorf.me
Licenses: CC-BY-SA 4.0
Build system: r
Synopsis: Designing Stated Preference Experiments
Description:

Contemporary software commonly used to design stated preference experiments are expensive and the code is closed source. This is a free software package with an easy to use interface to make flexible stated preference experimental designs using state-of-the-art methods. For an overview of stated choice experimental design theory, see e.g., Rose, J. M. & Bliemer, M. C. J. (2014) in Hess S. & Daly. A. <doi:10.4337/9781781003152>. The package website can be accessed at <https://spdesign.edsandorf.me>. We acknowledge funding from the European Unionâ s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant INSPiRE (Grant agreement ID: 793163).

r-snowdata 1.0.0
Propagated dependencies: r-terra@1.9-27
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SnowData
Licenses: GPL 3
Build system: r
Synopsis: Historical Data from John Snow's 1854 Cholera Outbreak Map
Description:

This package provides historical datasets related to John Snow's 1854 cholera outbreak study in London. Includes data on cholera cases, water pump locations, and the street layout, enabling analysis and visualisation of the outbreak.

r-schematic 0.1.2
Propagated dependencies: r-tidyselect@1.2.1 r-rlang@1.2.0 r-purrr@1.2.2 r-glue@1.8.1 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/whipson/schematic
Licenses: Expat
Build system: r
Synopsis: Tidy Schema Validation for Data Frames
Description:

Validate data.frames against schemas to ensure that data matches expectations. Define schemas using tidyselect and predicate functions for type consistency, nullability, and more. Schema failure messages can be tailored for non-technical users and are ideal for user-facing applications such as in shiny or plumber'.

r-stressaddition 3.1.0
Propagated dependencies: r-plotrix@3.8-14 r-drc@3.0-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://git.ufz.de/oekotox/stressaddition
Licenses: GPL 3
Build system: r
Synopsis: Modelling Tri-Phasic Concentration-Response Relationships
Description:

The stress addition approach is an alternative to the traditional concentration addition or effect addition models. It allows the modelling of tri-phasic concentration-response relationships either as single toxicant experiments, in combination with an environmental stressor or as mixtures of two toxicants. See Liess et al. (2019) <doi:10.1038/s41598-019-51645-4> and Liess et al. (2020) <doi:10.1186/s12302-020-00394-7>.

r-somemtp 1.4.1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=someMTP
Licenses: GPL 2+
Build system: r
Synopsis: Some Multiple Testing Procedures
Description:

It's a collection of functions for Multiplicity Correction and Multiple Testing.

r-scgoclust 0.2.1
Propagated dependencies: r-tidyr@1.3.2 r-tibble@3.3.1 r-slanter@0.2-0 r-seurat@5.5.0 r-networkd3@0.4.1 r-matrix@1.7-5 r-magrittr@2.0.5 r-limma@3.68.3 r-dplyr@1.2.1 r-biomart@2.68.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Papatheodorou-Group/scGOclust
Licenses: GPL 3+
Build system: r
Synopsis: Measuring Cell Type Similarity with Gene Ontology in Single-Cell RNA-Seq
Description:

Traditional methods for analyzing single cell RNA-seq datasets focus solely on gene expression, but this package introduces a novel approach that goes beyond this limitation. Using Gene Ontology terms as features, the package allows for the functional profile of cell populations, and comparison within and between datasets from the same or different species. Our approach enables the discovery of previously unrecognized functional similarities and differences between cell types and has demonstrated success in identifying cell types functional correspondence even between evolutionarily distant species.

r-sparsesvm 1.1-7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/CY-dev/sparseSVM
Licenses: GPL 3
Build system: r
Synopsis: Solution Paths of Sparse High-Dimensional Support Vector Machine with Lasso or Elastic-Net Regularization
Description:

Offers a fast algorithm for fitting solution paths of sparse SVM models with lasso or elastic-net regularization. Reference: Congrui Yi and Jian Huang (2017) <doi:10.1080/10618600.2016.1256816>.

r-sleuth2 2.0-7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://r-forge.r-project.org/projects/sleuth2/
Licenses: GPL 2+
Build system: r
Synopsis: Data Sets from Ramsey and Schafer's "Statistical Sleuth (2nd Ed)"
Description:

Data sets from Ramsey, F.L. and Schafer, D.W. (2002), "The Statistical Sleuth: A Course in Methods of Data Analysis (2nd ed)", Duxbury.

r-seguid 0.1.0
Propagated dependencies: r-digest@0.6.39 r-base64enc@0.1-6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://www.seguid.org/
Licenses: Expat
Build system: r
Synopsis: Sequence Globally Unique Identifier (SEGUID) Checksums
Description:

Implementation of the original Sequence Globally Unique Identifier (SEGUID) algorithm [Babnigg and Giometti (2006) <doi:10.1002/pmic.200600032>] and SEGUID v2 (<https://www.seguid.org>), which extends SEGUID v1 with support for linear, circular, single- and double-stranded biological sequences, e.g. DNA, RNA, and proteins.

r-sbtools 1.4.1
Propagated dependencies: r-mime@0.13 r-keyring@1.4.1 r-jsonlite@2.0.0 r-httr@1.4.8 r-curl@7.1.0 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/DOI-USGS/sbtools
Licenses: CC0
Build system: r
Synopsis: USGS ScienceBase Tools
Description:

This package provides tools for interacting with U.S. Geological Survey ScienceBase <https://www.sciencebase.gov> interfaces. ScienceBase is a data cataloging and collaborative data management platform. Functions included for querying ScienceBase, and creating and fetching datasets.

Total packages: 72450