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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-sheetreader 1.2.1
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/fhenz/SheetReader-r
Licenses: Expat
Build system: r
Synopsis: Parse xlsx Files
Description:

Uses C++ via the Rcpp package to parse modern Excel files ('.xlsx'). Memory usage is kept minimal by decompressing only parts of the file at a time, while employing multiple threads to achieve significant runtime reduction. Uses <https://github.com/richgel999/miniz> and <https://github.com/lemire/fast_double_parser>.

r-sapfluxnetr 0.1.5
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-glue@1.8.0 r-ggplot2@4.0.1 r-furrr@0.3.1 r-dplyr@1.1.4 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/sapfluxnet/sapfluxnetr
Licenses: Expat
Build system: r
Synopsis: Working with 'Sapfluxnet' Project Data
Description:

Access, modify, aggregate and plot data from the Sapfluxnet project, the first global database of sap flow measurements.

r-spconf 1.0.1
Propagated dependencies: r-mgcv@1.9-4 r-flexclust@1.5.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spconf
Licenses: GPL 3
Build system: r
Synopsis: Computing Scales of Spatial Smoothing for Confounding Adjustment
Description:

Computes the effective range of a smoothing matrix, which is a measure of the distance to which smoothing occurs. This is motivated by the application of spatial splines for adjusting for unmeasured spatial confounding in regression models, but the calculation of effective range can be applied to smoothing matrices in other contexts. For algorithmic details, see Rainey and Keller (2024) "spconfShiny: an R Shiny application..." <doi:10.1371/journal.pone.0311440> and Keller and Szpiro (2020) "Selecting a Scale for Spatial Confounding Adjustment" <doi:10.1111/rssa.12556>.

r-statlingua 0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/bgreenwell/statlingua
Licenses: GPL 2+
Build system: r
Synopsis: Explain Statistical Output with Large Language Models
Description:

Transform complex statistical output into straightforward, understandable, and context-aware natural language descriptions using Large Language Models (LLMs), making complex analyses more accessible to individuals with varying statistical expertise. It relies on the ellmer package to interface with LLM providers including OpenAI <https://openai.com/>, Google AI Studio <https://aistudio.google.com/>, and Anthropic <https://www.anthropic.com/> (API keys are required and managed via ellmer').

r-spect 1.0
Propagated dependencies: r-survminer@0.5.1 r-survival@3.8-3 r-rlang@1.1.6 r-riskregression@2025.09.17 r-ggplot2@4.0.1 r-futile-logger@1.4.3 r-dplyr@1.1.4 r-doparallel@1.0.17 r-caretensemble@4.0.1 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/dawdawdo/spect
Licenses: GPL 3
Build system: r
Synopsis: Survival Prediction Ensemble Classification Tool
Description:

This package provides a tool for survival analysis using a discrete time approach with ensemble binary classification. spect provides a simple interface consistent with commonly used R data analysis packages, such as caret', a variety of parameter options to help facilitate search automation, a high degree of transparency to the end-user - all intermediate data sets and parameters are made available for further analysis and useful, out-of-the-box visualizations of model performance. Methods for transforming survival data into discrete-time are adapted from the autosurv package by Suresh et al., (2022) <doi:10.1186/s12874-022-01679-6>.

r-straweib 1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=straweib
Licenses: GPL 2+
Build system: r
Synopsis: Stratified Weibull Regression Model
Description:

The main function is icweib(), which fits a stratified Weibull proportional hazards model for left censored, right censored, interval censored, and non-censored survival data. We parameterize the Weibull regression model so that it allows a stratum-specific baseline hazard function, but where the effects of other covariates are assumed to be constant across strata. Please refer to Xiangdong Gu, David Shapiro, Michael D. Hughes and Raji Balasubramanian (2014) <doi:10.32614/RJ-2014-003> for more details.

r-spatialgev 1.0.1
Propagated dependencies: r-tmb@1.9.18 r-rcppeigen@0.3.4.0.2 r-mvtnorm@1.3-3 r-matrix@1.7-4 r-evd@2.3-7.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SpatialGEV
Licenses: GPL 3
Build system: r
Synopsis: Fit Spatial Generalized Extreme Value Models
Description:

Fit latent variable models with the GEV distribution as the data likelihood and the GEV parameters following latent Gaussian processes. The models in this package are built using the template model builder TMB in R, which has the fast ability to integrate out the latent variables using Laplace approximation. This package allows the users to choose in the fit function which GEV parameter(s) is considered as a spatially varying random effect following a Gaussian process, so the users can fit spatial GEV models with different complexities to their dataset without having to write the models in TMB by themselves. This package also offers methods to sample from both fixed and random effects posteriors as well as the posterior predictive distributions at different spatial locations. Methods for fitting this class of models are described in Chen, Ramezan, and Lysy (2024) <doi:10.48550/arXiv.2110.07051>.

r-seqicp 1.1
Propagated dependencies: r-mgcv@1.9-4 r-dhsic@2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=seqICP
Licenses: GPL 3
Build system: r
Synopsis: Sequential Invariant Causal Prediction
Description:

This package contains an implementation of invariant causal prediction for sequential data. The main function in the package is seqICP', which performs linear sequential invariant causal prediction and has guaranteed type I error control. For non-linear dependencies the package also contains a non-linear method seqICPnl', which allows to input any regression procedure and performs tests based on a permutation approach that is only approximately correct. In order to test whether an individual set S is invariant the package contains the subroutines seqICP.s and seqICPnl.s corresponding to the respective main methods.

r-structree 1.1.7
Propagated dependencies: r-penalized@0.9-53 r-mgcv@1.9-4 r-lme4@1.1-37
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=structree
Licenses: GPL 3
Build system: r
Synopsis: Tree-Structured Clustering
Description:

Tree-structured modelling of categorical predictors (Tutz and Berger (2018), <doi:10.1007/s11634-017-0298-6>) or measurement units (Berger and Tutz (2018), <doi:10.1080/10618600.2017.1371030>).

r-simtrial 1.0.2
Propagated dependencies: r-survival@3.8-3 r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-future@1.68.0 r-foreach@1.5.2 r-dofuture@1.1.2 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://merck.github.io/simtrial/
Licenses: GPL 3
Build system: r
Synopsis: Clinical Trial Simulation
Description:

This package provides some basic routines for simulating a clinical trial. The primary intent is to provide some tools to generate trial simulations for trials with time to event outcomes. Piecewise exponential failure rates and piecewise constant enrollment rates are the underlying mechanism used to simulate a broad range of scenarios such as those presented in Lin et al. (2020) <doi:10.1080/19466315.2019.1697738>. However, the basic generation of data is done using pipes to allow maximum flexibility for users to meet different needs.

r-sentimentanalysis 1.3-5
Propagated dependencies: r-tm@0.7-16 r-stringdist@0.9.15 r-spikeslab@1.1.6 r-qdapdictionaries@1.0.7 r-ngramrr@0.2.0 r-moments@0.14.1 r-glmnet@4.1-10 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/sfeuerriegel/SentimentAnalysis
Licenses: Expat
Build system: r
Synopsis: Dictionary-Based Sentiment Analysis
Description:

This package performs a sentiment analysis of textual contents in R. This implementation utilizes various existing dictionaries, such as Harvard IV, or finance-specific dictionaries. Furthermore, it can also create customized dictionaries. The latter uses LASSO regularization as a statistical approach to select relevant terms based on an exogenous response variable.

r-sccatch 3.2.2
Propagated dependencies: r-reshape2@1.4.5 r-progress@1.2.3 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ZJUFanLab/scCATCH
Licenses: GPL 3+
Build system: r
Synopsis: Single Cell Cluster-Based Annotation Toolkit for Cellular Heterogeneity
Description:

An automatic cluster-based annotation pipeline based on evidence-based score by matching the marker genes with known cell markers in tissue-specific cell taxonomy reference database for single-cell RNA-seq data. See Shao X, et al (2020) <doi:10.1016/j.isci.2020.100882> for more details.

r-swissair 1.1.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SwissAir
Licenses: GPL 3+
Build system: r
Synopsis: Air Quality Data of Switzerland for One Year in 30 Min Resolution
Description:

Ozone, NOx (= Sum of nitrogen monoxide and nitrogen dioxide), nitrogen monoxide, ambient temperature, dew point, wind speed and wind direction at 3 sites around lake of Lucerne in Central Switzerland in 30 min time resolution for year 2004.

r-states 0.3.3
Propagated dependencies: r-rlang@1.1.6 r-lifecycle@1.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/andybega/states
Licenses: Expat
Build system: r
Synopsis: Create Panels of Independent States
Description:

Create panel data consisting of independent states from 1816 to the present. The package includes the Gleditsch & Ward (G&W) and Correlates of War (COW) lists of independent states, as well as helper functions for working with state panel data and standardizing other data sources to create country-year/month/etc. data.

r-stratifiedyh 0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stratifiedyh
Licenses: Expat
Build system: r
Synopsis: Stratified Sampling and Labeling of Data in R
Description:

This package provides functions for stratified sampling and assigning custom labels to data, ensuring randomness within groups. The package supports various sampling methods such as stratified, cluster, and systematic sampling. It allows users to apply transformations and customize the sampling process. This package can be useful for statistical analysis and data preparation tasks.

r-sparsemvn 0.2.2
Propagated dependencies: r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://braunm.github.io/sparseMVN/
Licenses: FSDG-compatible
Build system: r
Synopsis: Multivariate Normal Functions for Sparse Covariance and Precision Matrices
Description:

Computes multivariate normal (MVN) densities, and samples from MVN distributions, when the covariance or precision matrix is sparse.

r-simpr-interaction 0.1.0
Propagated dependencies: r-interactionpower@0.2.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/statisfactions/simpr.interaction/
Licenses: GPL 2
Build system: r
Synopsis: Calculating Parameters for Simulation-Based Regression Interaction Power Analysis
Description:

This package provides functionality for analytically calculating parameters (via the InteractionPoweR package) useful for simulation of moderated multiple regression, based on the correlations among the predictors and outcome and the reliability of predictors.

r-surveytable 0.9.10
Propagated dependencies: r-survey@4.4-8 r-magrittr@2.0.4 r-huxtable@5.8.0 r-glue@1.8.0 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cdcgov.github.io/surveytable/
Licenses: FSDG-compatible
Build system: r
Synopsis: Streamlining Complex Survey Estimation and Reliability Assessment in R
Description:

Short and understandable commands that generate tabulated, formatted, and rounded survey estimates. Mostly a wrapper for the survey package (Lumley (2004) <doi:10.18637/jss.v009.i08> <https://CRAN.R-project.org/package=survey>) that identifies low-precision estimates using the National Center for Health Statistics (NCHS) presentation standards (Parker et al. (2017) <https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf>, Parker et al. (2023) <doi:10.15620/cdc:124368>).

r-swarm 0.6.0
Propagated dependencies: r-splancs@2.01-45 r-mass@7.3-65 r-lubridate@1.9.4 r-geosphere@1.5-20
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://swarm-lab.github.io/swaRm/
Licenses: GPL 3
Build system: r
Synopsis: Processing Collective Movement Data
Description:

Function library for processing collective movement data (e.g. fish schools, ungulate herds, baboon troops) collected from GPS trackers or computer vision tracking software.

r-srscore 0.1.2
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SRscore
Licenses: Expat
Build system: r
Synopsis: Simple Transcriptome Meta-Analysis for Identifying Stress-Responsive Genes
Description:

Stress Response score (SRscore) is a stress responsiveness measure for transcriptome datasets and is based on the vote-counting method. The SRscore is determined to evaluate and score genes on the basis of the consistency of the direction of their regulation (Up-regulation, Down-regulation, or No change) under stress conditions across multiple analyzed research projects. This package is based on the HN-score (score based on the ratio of gene expression between hypoxic and normoxic conditions) proposed by Tamura and Bono (2022) <doi:10.3390/life12071079>, and can calculate both the original method and an extended calculation method described in Fukuda et al. (2025) <doi:10.1093/plphys/kiaf105>.

r-sship 0.9.0
Propagated dependencies: r-yaml@2.3.10 r-rcurl@1.98-1.17 r-openssl@2.3.4 r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Rapporteket/sship
Licenses: GPL 3
Build system: r
Synopsis: Tool for Secure Shipment of Content
Description:

Convenient tools for exchanging files securely from within R. By encrypting the content safe passage of files (shipment) can be provided by common but insecure carriers such as ftp and email. Based on asymmetric cryptography no management of shared secrets is needed to make a secure shipment as long as authentic public keys are available. Public keys used for secure shipments may also be obtained from external providers as part of the overall process. Transportation of files will require that relevant services such as ftp and email servers are available.

r-sigminer 2.3.1
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-rcpp@1.1.0 r-purrr@1.2.0 r-nmf@0.28 r-magrittr@2.0.4 r-maftools@2.26.0 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-future@1.68.0 r-furrr@0.3.1 r-dplyr@1.1.4 r-data-table@1.17.8 r-cowplot@1.2.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ShixiangWang/sigminer
Licenses: Expat
Build system: r
Synopsis: Extract, Analyze and Visualize Mutational Signatures for Genomic Variations
Description:

Genomic alterations including single nucleotide substitution, copy number alteration, etc. are the major force for cancer initialization and development. Due to the specificity of molecular lesions caused by genomic alterations, we can generate characteristic alteration spectra, called signature (Wang, Shixiang, et al. (2021) <DOI:10.1371/journal.pgen.1009557> & Alexandrov, Ludmil B., et al. (2020) <DOI:10.1038/s41586-020-1943-3> & Steele Christopher D., et al. (2022) <DOI:10.1038/s41586-022-04738-6>). This package helps users to extract, analyze and visualize signatures from genomic alteration records, thus providing new insight into cancer study.

r-shadowvimp 1.0.2
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-rlang@1.1.6 r-ranger@0.17.0 r-patchwork@1.3.2 r-magrittr@2.0.4 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-ggforce@0.5.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/OktawiaStaburo/shadowVIMP
Licenses: FSDG-compatible
Build system: r
Synopsis: Covariate Selection Based on VIMP Permutation-Like Testing
Description:

This package provides a statistical method for reducing the number of covariates in an analysis by evaluating Variable Importance Measures (VIMPs) derived from the Random Forest algorithm. It performs statistical tests on the VIMPs and outputs whether the covariate is significant along with the p-values.

r-secsse 3.5.0
Propagated dependencies: r-treestats@1.70.8 r-tibble@3.3.0 r-rlang@1.1.6 r-rcppparallel@5.1.11-1 r-rcpp@1.1.0 r-ggplot2@4.0.1 r-geiger@2.0.11 r-ddd@5.2.4 r-bh@1.87.0-1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://rsetienne.github.io/secsse/
Licenses: GPL 3+ FSDG-compatible
Build system: r
Synopsis: Several Examined and Concealed States-Dependent Speciation and Extinction
Description:

Simultaneously infers state-dependent diversification across two or more states of a single or multiple traits while accounting for the role of a possible concealed trait. See Herrera-Alsina et al. (2019) <doi:10.1093/sysbio/syy057>.

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