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


r-stepp 3.2.7
Propagated dependencies: r-survival@3.8-3 r-scales@1.4.0 r-rstudioapi@0.17.1 r-car@3.1-3
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: Subpopulation Treatment Effect Pattern Plot (STEPP)
Description:

This package provides a method to explore the treatment-covariate interactions in survival or generalized linear model (GLM) for continuous, binomial and count data arising from two or more treatment arms of a clinical trial. A permutation distribution approach to inference is implemented, based on permuting the covariate values within each treatment group.

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-starry 0.1.2
Propagated dependencies: r-stringr@1.6.0 r-shinywidgets@0.9.0 r-shinyjs@2.1.0 r-shiny@1.11.1 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-corrr@0.4.5 r-car@3.1-3 r-bslib@0.9.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://joe-chelladurai.github.io/starry/
Licenses: Expat
Build system: r
Synopsis: Explore Data with Plots and Tables
Description:

This package provides modular functions and applications for quickly generating plots and tables. Each modular function opens a graphical user interface providing the user with options to create and customise plots and tables.

r-surv2samplecomp 1.0-5
Propagated dependencies: r-survival@3.8-3 r-plotrix@3.8-13 r-flexsurv@2.3.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=surv2sampleComp
Licenses: GPL 2
Build system: r
Synopsis: Inference for Model-Free Between-Group Parameters for Censored Survival Data
Description:

This package performs inference of several model-free group contrast measures, which include difference/ratio of cumulative incidence rates at given time points, quantiles, and restricted mean survival times (RMST). Two kinds of covariate adjustment procedures (i.e., regression and augmentation) for inference of the metrics based on RMST are also included.

r-sensominer 1.28
Propagated dependencies: r-reshape2@1.4.5 r-kernsmooth@2.23-26 r-gtools@3.9.5 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-factominer@2.12 r-cluster@2.1.8.1 r-algdesign@1.2.1.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://sensominer.free.fr
Licenses: GPL 2+
Build system: r
Synopsis: Sensory Data Analysis
Description:

Statistical Methods to Analyse Sensory Data. SensoMineR: A package for sensory data analysis. S. Le and F. Husson (2008).

r-svgedit 1.0.0
Propagated dependencies: r-xml2@1.5.0 r-rlang@1.1.6 r-ggplot2@4.0.1 r-cli@3.6.5 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/DanielThedie/svgedit
Licenses: Expat
Build system: r
Synopsis: Insert Graphs, Images and Text in SVG Files
Description:

Edit SVG files created in Inkscape by replacing placeholders (e.g. a rectangle element or in a text box) by ggplot2 objects, images or text. This helps automate the creation of figures with complex layouts.

r-survextrap 1.0.1
Propagated dependencies: r-tibble@3.3.0 r-survival@3.8-3 r-stanheaders@2.32.10 r-splines2@0.5.4 r-rstan@2.32.7 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-posterior@1.6.1 r-loo@2.8.0 r-gridextra@2.3 r-ggplot2@4.0.1 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/chjackson/survextrap
Licenses: GPL 3+
Build system: r
Synopsis: Bayesian Flexible Parametric Survival Modelling and Extrapolation
Description:

Survival analysis using a flexible Bayesian model for individual-level right-censored data, optionally combined with aggregate data on counts of survivors in different periods of time. An M-spline is used to describe the hazard function, with a prior on the coefficients that controls over-fitting. Proportional hazards or flexible non-proportional hazards models can be used to relate survival to predictors. Additive hazards (relative survival) models, waning treatment effects, and mixture cure models are also supported. Priors can be customised and calibrated to substantive beliefs. Posterior distributions are estimated using Stan', and outputs are arranged in a tidy format. See Jackson (2023) <doi:10.1186/s12874-023-02094-1>.

r-species 1.2.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SPECIES
Licenses: GPL 2
Build system: r
Synopsis: Statistical Package for Species Richness Estimation
Description:

Implementation of various methods in estimation of species richness or diversity in Wang (2011)<doi:10.18637/jss.v040.i09>.

r-sphunif 1.4.3
Propagated dependencies: r-rotasym@1.2.0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-gsl@2.1-9 r-future@1.68.0 r-foreach@1.5.2 r-dorng@1.8.6.2 r-dofuture@1.1.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/egarpor/sphunif
Licenses: GPL 3
Build system: r
Synopsis: Uniformity Tests on the Circle, Sphere, and Hypersphere
Description:

Implementation of uniformity tests on the circle and (hyper)sphere. The main function of the package is unif_test(), which conveniently collects more than 35 tests for assessing uniformity on S^p-1 = x in R^p : ||x|| = 1, p >= 2. The test statistics are implemented in the unif_stat() function, which allows computing several statistics for different samples within a single call, thus facilitating Monte Carlo experiments. Furthermore, the unif_stat_MC() function allows parallelizing them in a simple way. The asymptotic null distributions of the statistics are available through the function unif_stat_distr(). The core of sphunif is coded in C++ by relying on the Rcpp package. The package also provides several novel datasets and gives the replicability for the data applications/simulations in Garcà a-Portugués et al. (2021) <doi:10.1007/978-3-030-69944-4_12>, Garcà a-Portugués et al. (2023) <doi:10.3150/21-BEJ1454>, Fernández-de-Marcos and Garcà a-Portugués (2024) <doi:10.1016/j.spl.2024.110218>, and Garcà a-Portugués et al. (2025) <doi:10.1080/01621459.2025.2566414>.

r-slide 1.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SLIDE
Licenses: GPL 3
Build system: r
Synopsis: Single Cell Linkage by Distance Estimation is SLIDE
Description:

This statistical method uses the nearest neighbor algorithm to estimate absolute distances between single cells based on a chosen constellation of surface proteins, with these distances being a measure of the similarity between the two cells being compared. Based on Sen, N., Mukherjee, G., and Arvin, A.M. (2015) <DOI:10.1016/j.ymeth.2015.07.008>.

r-simaerep 1.0.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-rcolorbrewer@1.1-3 r-purrr@1.2.0 r-progressr@0.18.0 r-magrittr@2.0.4 r-knitr@1.50 r-glue@1.8.0 r-ggplot2@4.0.1 r-furrr@0.3.1 r-forcats@1.0.1 r-dplyr@1.1.4 r-dbplyr@2.5.1 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://openpharma.github.io/simaerep/
Licenses: Expat
Build system: r
Synopsis: Detect Clinical Trial Sites Over- or Under-Reporting Clinical Events
Description:

Monitoring reporting rates of subject-level clinical events (e.g. adverse events, protocol deviations) reported by clinical trial sites is an important aspect of risk-based quality monitoring strategy. Sites that are under-reporting or over-reporting events can be detected using bootstrap simulations during which patients are redistributed between sites. Site-specific distributions of event reporting rates are generated that are used to assign probabilities to the observed reporting rates. (Koneswarakantha 2024 <doi:10.1007/s43441-024-00631-8>).

r-saive 1.0.6
Propagated dependencies: r-vsurf@1.2.1 r-terra@1.8-86 r-rlang@1.1.6 r-proxy@0.4-27 r-doparallel@1.0.17 r-crayon@1.5.3 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/UO-SAiVE/SAiVE
Licenses: Expat
Build system: r
Synopsis: Functions Used for SAiVE Group Research, Collaborations, and Publications
Description:

Holds functions developed by the University of Ottawa's SAiVE (Spatio-temporal Analysis of isotope Variations in the Environment) research group with the intention of facilitating the re-use of code, foster good code writing practices, and to allow others to benefit from the work done by the SAiVE group. Contributions are welcome via the GitHub repository <https://github.com/UO-SAiVE/SAiVE> by group members as well as non-members.

r-sequencer 1.0.1
Propagated dependencies: r-tuner@1.4.7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/benRenard/sequenceR
Licenses: GPL 3
Build system: r
Synopsis: Simple Sequencer for Data Sonification
Description:

This package provides a rudimentary sequencer to define, manipulate and mix sound samples. The underlying motivation is to sonify data, as demonstrated in the blog <https://globxblog.github.io/>, the presentation by Renard and Le Bescond (2022, <https://hal.science/hal-03710340v1>) or the poster by Renard et al. (2023, <https://hal.inrae.fr/hal-04388845v1>).

r-sqrl 1.0.2
Propagated dependencies: r-rodbc@1.3-26.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SQRL
Licenses: GPL 3
Build system: r
Synopsis: Enhances Interaction with 'ODBC' Databases
Description:

This package provides simple and powerful interfaces that facilitate interaction with ODBC data sources. Each data source gets its own unique and dedicated interface, wrapped around RODBC'. Communication settings are remembered between queries, and are managed silently in the background. The interfaces support multi-statement SQL scripts, which can be parameterised via metaprogramming structures and embedded R expressions.

r-scina 1.2.0
Propagated dependencies: r-mass@7.3-65 r-gplots@3.2.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SCINA
Licenses: GPL 2
Build system: r
Synopsis: Semi-Supervised Category Identification and Assignment Tool
Description:

An automatic cell type detection and assignment algorithm for single cell RNA-Seq and Cytof/FACS data. SCINA is capable of assigning cell type identities to a pool of cells profiled by scRNA-Seq or Cytof/FACS data with prior knowledge of markers, such as genes and protein symbols that are highly or lowly expressed in each category. See Zhang Z, et al (2019) <doi:10.3390/genes10070531> for more details.

r-sharkdemography 1.1.0
Propagated dependencies: r-tidyr@1.3.1 r-readr@2.1.6 r-popbio@2.8 r-mass@7.3-65 r-magrittr@2.0.4 r-iterators@1.0.14 r-interp@1.1-6 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17 r-dofuture@1.1.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jonathansmart/SharkDemography
Licenses: GPL 3+
Build system: r
Synopsis: Shark Demographic Analyses Using Leslie Matrix Models
Description:

Run Leslie Matrix models using Monte Carlo simulations for any specified shark species. This package was developed during the publication of Smart, JJ, White, WT, Baje, L, et al. (2020) "Can multi-species shark longline fisheries be managed sustainably using size limits? Theoretically, yes. Realistically, no".J Appl Ecol. 2020; 57; 1847â 1860. <doi:10.1111/1365-2664.13659>.

r-senseweight 0.0.1
Propagated dependencies: r-weightit@1.5.1 r-survey@4.4-8 r-rlang@1.1.6 r-metr@0.18.3 r-kableextra@1.4.0 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-estimatr@1.0.6 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://melodyyhuang.github.io/senseweight/
Licenses: Expat
Build system: r
Synopsis: Sensitivity Analysis for Weighted Estimators
Description:

This package provides tools to conduct interpretable sensitivity analyses for weighted estimators, introduced in Huang (2024) <doi:10.1093/jrsssa/qnae012> and Hartman and Huang (2024) <doi:10.1017/pan.2023.12>. The package allows researchers to generate the set of recommended sensitivity summaries to evaluate the sensitivity in their underlying weighting estimators to omitted moderators or confounders. The tools can be flexibly applied in causal inference settings (i.e., in external and internal validity contexts) or survey contexts.

r-stabilityapp 0.1.0
Propagated dependencies: r-stability@0.6.0 r-shinydashboardplus@2.0.6 r-shinybs@0.61.1 r-shiny@1.11.1 r-patchwork@1.3.2 r-gridextra@2.3 r-dt@0.34.0 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=StabilityApp
Licenses: GPL 3
Build system: r
Synopsis: Stability Analysis App for GEI in Multi-Environment Trials
Description:

This package provides tools for Genotype by Environment Interaction (GEI) analysis, using statistical models and visualizations to assess genotype performance across environments. It helps researchers explore interaction effects, stability, and adaptability in multi-environment trials, identifying the best-performing genotypes in different conditions. Which Win Where!

r-sctools 0.3.3.1
Propagated dependencies: r-tidyr@1.3.1 r-synth@1.1-9 r-stringr@1.6.0 r-purrr@1.2.0 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-future@1.68.0 r-furrr@0.3.1 r-dplyr@1.1.4 r-cvtools@0.3.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SCtools
Licenses: GPL 3
Build system: r
Synopsis: Extensions for Synthetic Controls Analysis
Description:

Extends the functionality of the package Synth as detailed in Abadie, Diamond, and Hainmueller (2011) <doi:10.18637/jss.v042.i13>. Includes generating and plotting placebos, post/pre-MSPE (Mean Squared Prediction Error) significance tests and plots, and calculating average treatment effects for multiple treated units.

r-season 0.3.16
Propagated dependencies: r-survival@3.8-3 r-stringr@1.6.0 r-mass@7.3-65 r-ggplot2@4.0.1 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/agbarnett/season
Licenses: GPL 3+
Build system: r
Synopsis: Seasonal Analysis of Health Data
Description:

Routines for the seasonal analysis of health data, including regression models, time-stratified case-crossover, plotting functions and residual checks, see Barnett and Dobson (2010) ISBN 978-3-642-10748-1. Thanks to Yuming Guo for checking the case-crossover code.

r-sp23design 0.9-1
Propagated dependencies: r-survival@3.8-3 r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sp23design
Licenses: LGPL 3
Build system: r
Synopsis: Design and Simulation of Seamless Phase II-III Clinical Trials
Description:

This package provides methods for generating, exploring and executing seamless Phase II-III designs of Lai, Lavori and Shih using generalized likelihood ratio statistics. Includes pdf and source files that describe the entire R implementation with the relevant mathematical details.

r-surveil 0.3.0
Propagated dependencies: r-tidyr@1.3.1 r-tidybayes@3.0.7 r-stanheaders@2.32.10 r-scales@1.4.0 r-rstantools@2.5.0 r-rstan@2.32.7 r-rlang@1.1.6 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-gridextra@2.3 r-ggplot2@4.0.1 r-ggdist@3.3.3 r-dplyr@1.1.4 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://connordonegan.github.io/surveil/
Licenses: GPL 3+
Build system: r
Synopsis: Time Series Models for Disease Surveillance
Description:

Fits time trend models for routine disease surveillance tasks and returns probability distributions for a variety of quantities of interest, including age-standardized rates, period and cumulative percent change, and measures of health inequality. The models are appropriate for count data such as disease incidence and mortality data, employing a Poisson or binomial likelihood and the first-difference (random-walk) prior for unknown risk. Optionally add a covariance matrix for multiple, correlated time series models. Inference is completed using Markov chain Monte Carlo via the Stan modeling language. References: Donegan, Hughes, and Lee (2022) <doi:10.2196/34589>; Stan Development Team (2021) <https://mc-stan.org>; Theil (1972, ISBN:0-444-10378-3).

r-salty 0.1.2
Propagated dependencies: r-stringr@1.6.0 r-purrr@1.2.0 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/mdlincoln/salty
Licenses: Expat
Build system: r
Synopsis: Turn Clean Data into Messy Data
Description:

Take real or simulated data and salt it with errors commonly found in the wild, such as pseudo-OCR errors, Unicode problems, numeric fields with nonsensical punctuation, bad dates, etc.

r-sra 0.1.4.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/lerouzic/sra
Licenses: GPL 2
Build system: r
Synopsis: Selection Response Analysis
Description:

Artificial selection through selective breeding is an efficient way to induce changes in traits of interest in experimental populations. This package (sra) provides a set of tools to analyse artificial-selection response datasets. The data typically feature for several generations the average value of a trait in a population, the variance of the trait, the population size and the average value of the parents that were chosen to breed. Sra implements two families of models aiming at describing the dynamics of the genetic architecture of the trait during the selection response. The first family relies on purely descriptive (phenomenological) models, based on an autoregressive framework. The second family provides different mechanistic models, accounting e.g. for inbreeding, mutations, genetic and environmental canalization, or epistasis. The parameters underlying the dynamics of the time series are estimated by maximum likelihood. The sra package thus provides (i) a wrapper for the R functions mle() and optim() aiming at fitting in a convenient way a predetermined set of models, and (ii) some functions to plot and analyze the output of the models.

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