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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-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-sparta 1.0.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/mlindsk/sparta
Licenses: Expat
Build system: r
Synopsis: Sparse Tables
Description:

Fast Multiplication and Marginalization of Sparse Tables <doi:10.18637/jss.v111.i02>.

r-snowflakes 1.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=snowflakes
Licenses: GPL 2+
Build system: r
Synopsis: Random Snowflake Generator
Description:

The function generates and plots random snowflakes. Each snowflake is defined by a given diameter, width of the crystal, color, and random seed. Snowflakes are plotted in such way that they always remain round, no matter what the aspect ratio of the plot is. Snowflakes can be created using transparent colors, which creates a more interesting, somewhat realistic, image. Images of the snowflakes can be separately saved as svg files and used in websites as static or animated images.

r-sparkhail 0.1.1
Propagated dependencies: r-sparklyr-nested@0.0.4 r-sparklyr@1.9.3 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=sparkhail
Licenses: ASL 2.0 FSDG-compatible
Build system: r
Synopsis: 'Sparklyr' Extension for 'Hail'
Description:

Hail is an open-source, general-purpose, python based data analysis tool with additional data types and methods for working with genomic data, see <https://hail.is/>. Hail is built to scale and has first-class support for multi-dimensional structured data, like the genomic data in a genome-wide association study (GWAS). Hail is exposed as a python library, using primitives for distributed queries and linear algebra implemented in scala', spark', and increasingly C++'. The sparkhail is an R extension using sparklyr package. The idea is to help R users to use hail functionalities with the well-know tidyverse syntax, see <https://www.tidyverse.org/>.

r-simulariatools 3.1.0
Propagated dependencies: r-terra@1.8-86 r-scales@1.4.0 r-reticulate@1.44.1 r-lubridate@1.9.4 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://www.simularia.it/simulariatools/
Licenses: GPL 2+
Build system: r
Synopsis: Simularia Tools for the Analysis of Air Pollution Data
Description:

This package provides a set of tools developed at Simularia for Simularia, to help preprocessing and post-processing of meteorological and air quality data.

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-spte2m 1.0.3
Propagated dependencies: r-rmarkdown@2.30 r-mass@7.3-65 r-maps@3.4.3 r-mapproj@1.2.12 r-knitr@1.50 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://cran.r-project.org/package=SpTe2M
Licenses: GPL 3+
Build system: r
Synopsis: Nonparametric Modeling and Monitoring of Spatio-Temporal Data
Description:

Spatio-temporal data have become increasingly popular in many research fields. Such data often have complex structures that are difficult to describe and estimate. This package provides reliable tools for modeling complicated spatio-temporal data. It also includes tools of online process monitoring to detect possible change-points in a spatio-temporal process over time. More specifically, the package implements the spatio-temporal mean estimation procedure described in Yang and Qiu (2018) <doi:10.1002/sim.7622>, the spatio-temporal covariance estimation procedure discussed in Yang and Qiu (2019) <doi:10.1002/sim.8315>, the three-step method for the joint estimation of spatio-temporal mean and covariance functions suggested by Yang and Qiu (2022) <doi:10.1007/s10463-021-00787-2>, the spatio-temporal disease surveillance method discussed in Qiu and Yang (2021) <doi:10.1002/sim.9150> that can accommodate the covariate effect, the spatial-LASSO-based process monitoring method proposed by Qiu and Yang (2023) <doi:10.1080/00224065.2022.2081104>, and the online spatio-temporal disease surveillance method described in Yang and Qiu (2020) <doi:10.1080/24725854.2019.1696496>.

r-sie2nts 0.1.0
Propagated dependencies: r-stringr@1.6.0 r-rcurl@1.98-1.17 r-plotly@4.11.0 r-matrix@1.7-4 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=Sie2nts
Licenses: Expat
Build system: r
Synopsis: Sieve Methods for Non-Stationary Time Series
Description:

We provide functions for estimation and inference of locally-stationary time series using the sieve methods and bootstrapping procedure. In addition, it also contains functions to generate Daubechies and Coiflet wavelet by Cascade algorithm and to process data visualization.

r-sisvive 1.4
Propagated dependencies: r-lars@1.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sisVIVE
Licenses: GPL 2
Build system: r
Synopsis: Some Invalid Some Valid Instrumental Variables Estimator
Description:

Selects invalid instruments amongst a candidate of potentially bad instruments. The algorithm selects potentially invalid instruments and provides an estimate of the causal effect between exposure and outcome.

r-ssddata 1.0.0
Propagated dependencies: r-rdpack@2.6.4 r-dplyr@1.1.4 r-chk@0.10.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=ssddata
Licenses: ASL 2.0
Build system: r
Synopsis: Species Sensitivity Distribution Data
Description:

Reference data sets of species sensitivities to compare the results of fitting species sensitivity distributions using software such as ssdtools and Burrlioz'. It consists of 17 primary data sets from four different Australian and Canadian organizations as well as five datasets from anonymous sources. It also includes a data set of the results of fitting various distributions using different software.

r-signed-backbones 0.91.5
Propagated dependencies: r-reshape2@1.4.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=signed.backbones
Licenses: GPL 3
Build system: r
Synopsis: Extract the Signed Backbones of Weighted Networks
Description:

Extract the signed backbones of intrinsically dense weighted networks based on the significance filter and vigor filter as described in the following paper. Please cite it if you find this software useful in your work. Furkan Gursoy and Bertan Badur. "Extracting the signed backbone of intrinsically dense weighted networks." Journal of Complex Networks. <arXiv:2012.05216>.

r-scapesclassification 1.0.0
Propagated dependencies: r-terra@1.8-86
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ghTaranto/scapesClassification
Licenses: GPL 3+
Build system: r
Synopsis: User-Defined Classification of Raster Surfaces
Description:

Series of algorithms to translate users mental models of seascapes, landscapes and, more generally, of geographic features into computer representations (classifications). Spaces and geographic objects are classified with user-defined rules taking into account spatial data as well as spatial relationships among different classes and objects.

r-survauc 1.4-0
Propagated dependencies: r-survival@3.8-3 r-rms@8.1-0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://fbertran.github.io/survAUC/
Licenses: GPL 2
Build system: r
Synopsis: Estimators of Prediction Accuracy for Time-to-Event Data
Description:

This package provides a variety of functions to estimate time-dependent true/false positive rates and AUC curves from a set of censored survival data.

r-sdlrm 0.1.2
Propagated dependencies: r-rfast@2.1.5.2 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/rdmatheus/sdlrm
Licenses: GPL 3
Build system: r
Synopsis: Modified Skew Discrete Laplace Regression for Integer-Valued and Paired Discrete Data
Description:

Implementation of the modified skew discrete Laplace (SDL) regression model. The package provides a set of functions for a complete analysis of integer-valued data, where the dependent variable is assumed to follow a modified SDL distribution. This regression model is useful for the analysis of integer-valued data and experimental studies in which paired discrete observations are collected.

r-shapena 0.0.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=shapeNA
Licenses: GPL 3
Build system: r
Synopsis: M-Estimation of Shape for Data with Missing Values
Description:

M-estimators of location and shape following the power family (Frahm, Nordhausen, Oja (2020) <doi:10.1016/j.jmva.2019.104569>) are provided in the case of complete data and also when observations have missing values together with functions aiding their visualization.

r-stagepop 1.1-2
Propagated dependencies: r-pbsddesolve@1.13.7 r-desolve@1.40
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/HelenKettle/StagePop
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Modelling the Population Dynamics of a Stage-Structured Species in Continuous Time
Description:

This package provides facilities to implement and run population models of stage-structured species...

r-survhe 2.0.51
Propagated dependencies: r-xlsx@0.6.5 r-tidyr@1.3.1 r-tibble@3.3.0 r-rms@8.1-0 r-ggplot2@4.0.1 r-flexsurv@2.3.2 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/giabaio/survHE
Licenses: GPL 3+
Build system: r
Synopsis: Survival Analysis in Health Economic Evaluation
Description:

This package contains a suite of functions for survival analysis in health economics. These can be used to run survival models under a frequentist (based on maximum likelihood) or a Bayesian approach (both based on Integrated Nested Laplace Approximation or Hamiltonian Monte Carlo). To run the Bayesian models, the user needs to install additional modules (packages), i.e. survHEinla and survHEhmc'. These can be installed from <https://giabaio.r-universe.dev/> using install.packages("survHEhmc", repos = c("https://giabaio.r-universe.dev", "https://cloud.r-project.org")) and install.packages("survHEinla", repos = c("https://giabaio.r-universe.dev", "https://cloud.r-project.org")) respectively. survHEinla is based on the package INLA, which is available for download at <https://inla.r-inla-download.org/R/stable/>. The user can specify a set of parametric models using a common notation and select the preferred mode of inference. The results can also be post-processed to produce probabilistic sensitivity analysis and can be used to export the output to an Excel file (e.g. for a Markov model, as often done by modellers and practitioners). <doi:10.18637/jss.v095.i14>.

r-simvitd 1.0.3
Propagated dependencies: r-simpleboot@1.1-8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SimVitD
Licenses: GPL 2+
Build system: r
Synopsis: Simulation Tools for Planning Vitamin D Studies
Description:

Simulation tools for planning Vitamin D studies. Individual vitamin D status profiles are simulated, modelling population heterogeneity in trial arms. Exposures to infectious agents are generated, with infection depending on vitamin D status.

r-shinypayload 0.1.0
Propagated dependencies: r-shiny@1.11.1 r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/PawanRamaMali/shinypayload
Licenses: Expat
Build system: r
Synopsis: Accept POST Data and URL Parameters in 'shiny' (Same-Port Integration)
Description:

Handle POST requests on a custom path (e.g., /ingress) inside the same shiny HTTP server using user interface functions and HTTP responses. Expose latest payload as a reactive and provide helpers for query parameters.

r-svplots 0.1.0
Propagated dependencies: 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=svplots
Licenses: GPL 3
Build system: r
Synopsis: Sample Variance Plots (Sv-Plots)
Description:

Two versions of sample variance plots, Sv-plot1 and Sv-plot2, will be provided illustrating the squared deviations from sample variance. Besides indicating the contribution of squared deviations for the sample variability, these plots are capable of detecting characteristics of the distribution such as symmetry, skewness and outliers. A remarkable graphical method based on Sv-plot2 can determine the decision on testing hypotheses over one or two population means. In sum, Sv-plots will be appealing visualization tools. Complete description of this methodology can be found in the article, Wijesuriya (2020) <doi:10.1080/03610918.2020.1851716>.

r-shinynextui 0.1.0
Propagated dependencies: r-shiny-react@0.4.0 r-shiny@1.11.1 r-jsonlite@2.0.0 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://rinterface.github.io/shinyNextUI/
Licenses: Expat
Build system: r
Synopsis: 'HeroUI' 'React' Template for 'shiny' Apps
Description:

This package provides a set of user interface components to create outstanding shiny apps <https://shiny.posit.co/>, with the power of React JavaScript <https://react.dev/>. Seamlessly support dark and light themes, customize CSS with tailwind <https://tailwindcss.com/>.

r-scalablebayesm 0.2
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-bayesm@3.1-7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=scalablebayesm
Licenses: GPL 2+
Build system: r
Synopsis: Distributed Markov Chain Monte Carlo for Bayesian Inference in Marketing
Description:

Estimates unit-level and population-level parameters from a hierarchical model in marketing applications. The package includes: Hierarchical Linear Models with a mixture of normals prior and covariates, Hierarchical Multinomial Logits with a mixture of normals prior and covariates, Hierarchical Multinomial Logits with a Dirichlet Process prior and covariates. For more details, see Bumbaca, F. (Rico), Misra, S., & Rossi, P. E. (2020) <doi:10.1177/0022243720952410> "Scalable Target Marketing: Distributed Markov Chain Monte Carlo for Bayesian Hierarchical Models". Journal of Marketing Research, 57(6), 999-1018.

r-stcyp 1.0.0
Propagated dependencies: r-rootsolve@1.8.2.4 r-ggplot2@4.0.1 r-copula@1.1-6 r-bsts@0.9.11
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=STCYP
Licenses: Expat
Build system: r
Synopsis: Spatio-Temporal Crop Yield Prediction
Description:

This package provides crop yield and meteorological data for Ontario, Canada. Includes functions for fitting and predicting data using spatio-temporal models, as well as tools for visualizing the results. The package builds upon existing R packages, including copula (Hofert et al., 2025) <doi:10.32614/CRAN.package.copula>, and bsts (Scott, 2024) <doi:10.32614/CRAN.package.bsts>.

r-ssaforecast 0.1.1
Propagated dependencies: r-rssa@1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SSAforecast
Licenses: GPL 3
Build system: r
Synopsis: SSA Based Decomposition and Forecasting
Description:

Singular spectrum analysis (SSA) decomposes a time series into interpretable components like trends, oscillations, and noise without strict distributional and structural assumptions. For method details see Golyandina N, Zhigljavsky A (2013). <doi:10.1007/978-3-642-34913-3>.

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Total results: 68655