_            _    _        _         _
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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-sspse 1.1.0-6
Propagated dependencies: r-scam@1.2-21 r-rds@0.9-10 r-kernsmooth@2.23-26 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://hpmrg.org
Licenses: FSDG-compatible
Build system: r
Synopsis: Estimating Hidden Population Size using Respondent Driven Sampling Data
Description:

Estimate the size of a networked population based on respondent-driven sampling data. The package is part of the "RDS Analyst" suite of packages for the analysis of respondent-driven sampling data. See Handcock, Gile and Mar (2014) <doi:10.1214/14-EJS923>, Handcock, Gile and Mar (2015) <doi:10.1111/biom.12255>, Kim and Handcock (2021) <doi:10.1093/jssam/smz055>, and McLaughlin, et. al. (2023) <doi:10.1214/23-AOAS1807>.

r-svalignr 0.9.2
Propagated dependencies: r-stringr@1.6.0 r-polychrome@1.5.4 r-oompabase@3.2.10 r-nameneedle@1.2.8 r-igraph@2.2.1 r-dendextend@1.19.1 r-colorspace@2.1-2 r-biostrings@2.78.0 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://oompa.r-forge.r-project.org/
Licenses: ASL 2.0
Build system: r
Synopsis: Recovering Structure of Long Molecules from Structural Variation Data
Description:

This package implements a method to combine multiple levels of multiple sequence alignment to uncover the structure of complex DNA rearrangements.

r-spldv 0.1.3
Propagated dependencies: r-sphet@2.1-1 r-spatialreg@1.4-2 r-numderiv@2016.8-1.1 r-memisc@0.99.31.8.3 r-maxlik@1.5-2.1 r-matrix@1.7-4 r-mass@7.3-65 r-formula@1.2-5 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/gpiras/spldv
Licenses: GPL 2+
Build system: r
Synopsis: Spatial Models for Limited Dependent Variables
Description:

The current version of this package estimates spatial autoregressive models for binary dependent variables using GMM estimators <doi:10.18637/jss.v107.i08>. It supports one-step (Pinkse and Slade, 1998) <doi:10.1016/S0304-4076(97)00097-3> and two-step GMM estimator along with the linearized GMM estimator proposed by Klier and McMillen (2008) <doi:10.1198/073500107000000188>. It also allows for either Probit or Logit model and compute the average marginal effects. All these models are presented in Sarrias and Piras (2023) <doi:10.1016/j.jocm.2023.100432>.

r-success 1.1.1
Propagated dependencies: r-survival@3.8-3 r-rfast@2.1.5.2 r-plotly@4.11.0 r-pbapply@1.7-4 r-matrixcalc@1.0-6 r-matrix@1.7-4 r-ggrepel@0.9.6 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/d-gomon/success
Licenses: GPL 3+
Build system: r
Synopsis: Survival Control Charts Estimation Software
Description:

Quality control charts for survival outcomes. Allows users to construct the Continuous Time Generalized Rapid Response CUSUM (CGR-CUSUM) <doi:10.1093/biostatistics/kxac041>, the Biswas & Kalbfleisch (2008) <doi:10.1002/sim.3216> CUSUM, the Bernoulli CUSUM and the risk-adjusted funnel plot for survival data <doi:10.1002/sim.1970>. These procedures can be used to monitor survival processes for a change in the failure rate.

r-sparklyr-nested 0.0.4
Propagated dependencies: r-tidyselect@1.2.1 r-sparklyr@1.9.3 r-rlang@1.1.6 r-purrr@1.2.0 r-listviewer@4.0.0 r-jsonlite@2.0.0 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=sparklyr.nested
Licenses: ASL 2.0 FSDG-compatible
Build system: r
Synopsis: 'sparklyr' Extension for Nested Data
Description:

This package provides a sparklyr extension adding the capability to work easily with nested data.

r-simmer 4.4.7
Propagated dependencies: r-rcpp@1.1.0 r-magrittr@2.0.4 r-codetools@0.2-20
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://r-simmer.org
Licenses: GPL 2+
Build system: r
Synopsis: Discrete-Event Simulation for R
Description:

This package provides a process-oriented and trajectory-based Discrete-Event Simulation (DES) package for R. It is designed as a generic yet powerful framework. The architecture encloses a robust and fast simulation core written in C++ with automatic monitoring capabilities. It provides a rich and flexible R API that revolves around the concept of trajectory, a common path in the simulation model for entities of the same type. Documentation about simmer is provided by several vignettes included in this package, via the paper by Ucar, Smeets & Azcorra (2019, <doi:10.18637/jss.v090.i02>), and the paper by Ucar, Hernández, Serrano & Azcorra (2018, <doi:10.1109/MCOM.2018.1700960>); see citation("simmer") for details.

r-sigora 3.1.1
Propagated dependencies: r-slam@0.1-55
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/wolski/sigora
Licenses: GPL 3
Build system: r
Synopsis: Signature Overrepresentation Analysis
Description:

Pathway Analysis is statistically linking observations on the molecular level to biological processes or pathways on the systems(i.e., organism, organ, tissue, cell) level. Traditionally, pathway analysis methods regard pathways as collections of single genes and treat all genes in a pathway as equally informative. However, this can lead to identifying spurious pathways as statistically significant since components are often shared amongst pathways. SIGORA seeks to avoid this pitfall by focusing on genes or gene pairs that are (as a combination) specific to a single pathway. In relying on such pathway gene-pair signatures (Pathway-GPS), SIGORA inherently uses the status of other genes in the experimental context to identify the most relevant pathways. The current version allows for pathway analysis of human and mouse datasets. In addition, it contains pre-computed Pathway-GPS data for pathways in the KEGG and Reactome pathway repositories and mechanisms for extracting GPS for user-supplied repositories.

r-simdata 0.4.1
Propagated dependencies: r-mvtnorm@1.3-3 r-matrix@1.7-4 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://matherealize.github.io/simdata/
Licenses: GPL 3
Build system: r
Synopsis: Generate Simulated Datasets
Description:

Generate simulated datasets from an initial underlying distribution and apply transformations to obtain realistic data. Implements the NORTA (Normal-to-anything) approach from Cario and Nelson (1997) and other data generating mechanisms. Simple network visualization tools are provided to facilitate communicating the simulation setup.

r-sftools 0.1.0
Propagated dependencies: r-wordspace@0.2-9 r-ff@4.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://sites.google.com/site/mohamedlaibwebpage/
Licenses: GPL 3
Build system: r
Synopsis: Space Filling Based Tools for Data Mining
Description:

This package contains space filling based tools for machine learning and data mining. Some functions offer several computational techniques and deal with the out of memory for large big data by using the ff package.

r-scf 1.0.5
Propagated dependencies: r-survey@4.4-8 r-rlang@1.1.6 r-httr@1.4.7 r-haven@2.5.5 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jncohen/scf
Licenses: Expat
Build system: r
Synopsis: Analyzing the Survey of Consumer Finances
Description:

Analyze public-use micro data from the Survey of Consumer Finances. Provides tools to download prepared data files, construct replicate-weighted multiply imputed survey designs, compute descriptive statistics and model estimates, and produce plots and tables. Methods follow design-based inference for complex surveys and pooling across multiple imputations. See the package website and the code book for background.

r-surrogaterank 2.2
Propagated dependencies: r-pbmcapply@1.5.1 r-ggplot2@4.0.1 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=SurrogateRank
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Rank-Based Test to Evaluate a Surrogate Marker
Description:

Uses a novel rank-based nonparametric approach to evaluate a surrogate marker in a small sample size setting. Details are described in Parast et al (2024) <doi:10.1093/biomtc/ujad035> and Hughes A et al (2025) <doi:10.1002/sim.70241>. A tutorial for this package can be found at <https://www.laylaparast.com/surrogaterank> and a Shiny App implementing the package can be found at <https://parastlab.shinyapps.io/SurrogateRankApp/>.

r-smarterpoland 1.8.1
Propagated dependencies: r-rjson@0.2.23 r-jsonlite@2.0.0 r-httr@1.4.7 r-htmltools@0.5.8.1 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=SmarterPoland
Licenses: GPL 3
Build system: r
Synopsis: Tools for Accessing Various Datasets Developed by the Foundation SmarterPoland.pl
Description:

This package provides tools for accessing and processing datasets prepared by the Foundation SmarterPoland.pl. Among all: access to API of Google Maps, Central Statistical Office of Poland, MojePanstwo, Eurostat, WHO and other sources.

r-svytest 1.1.0
Propagated dependencies: r-survey@4.4-8 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://cran.r-project.org/package=svytest
Licenses: Expat
Build system: r
Synopsis: Survey Weight Diagnostic Tests
Description:

This package provides diagnostic tests for assessing the informativeness of survey weights in regression models. Implements difference-in-coefficients tests (Hausman 1978 <doi:10.2307/1913827>; Pfeffermann 1993 <doi:10.2307/1403631>), weight-association tests (DuMouchel and Duncan 1983 <doi:10.2307/2288185>; Pfeffermann and Sverchkov 1999 <https://www.jstor.org/stable/25051118>; Pfeffermann and Sverchkov 2003 <ISBN:9780470845672>; Wu and Fuller 2005 <https://www.jstor.org/stable/27590461>), estimating equations tests (Pfeffermann and Sverchkov 2003 <ISBN:9780470845672>), and non-parametric permutation tests. Includes simulation utilities replicating Wang et al. (2023 <doi:10.1111/insr.12509>) and extensions.

r-smacpod 2.6.4
Propagated dependencies: r-spatstat-random@3.4-3 r-spatstat-geom@3.6-1 r-spatstat-explore@3.6-0 r-smerc@1.8.4 r-plotrix@3.8-13 r-pbapply@1.7-4 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=smacpod
Licenses: GPL 2+
Build system: r
Synopsis: Statistical Methods for the Analysis of Case-Control Point Data
Description:

Statistical methods for analyzing case-control point data. Methods include the ratio of kernel densities, the difference in K Functions, the spatial scan statistic, and q nearest neighbors of cases.

r-segmentr 0.2.0
Propagated dependencies: r-rcpp@1.1.0 r-glue@1.8.0 r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/thalesmello/segmentr
Licenses: Expat
Build system: r
Synopsis: Segment Data With Maximum Likelihood
Description:

Given a likelihood provided by the user, this package applies it to a given matrix dataset in order to find change points in the data that maximize the sum of the likelihoods of all the segments. This package provides a handful of algorithms with different time complexities and assumption compromises so the user is able to choose the best one for the problem at hand. The implementation of the segmentation algorithms in this package are based on the paper by Bruno M. de Castro, Florencia Leonardi (2018) <arXiv:1501.01756>. The Berlin weather sample dataset was provided by Deutscher Wetterdienst <https://dwd.de/>. You can find all the references in the Acknowledgments section of this package's repository via the URL below.

r-shinyobjects 0.2.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-styler@1.11.0 r-stringr@1.6.0 r-shiny@1.11.1 r-rstudioapi@0.17.1 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-pander@0.6.6 r-magrittr@2.0.4 r-knitr@1.50 r-glue@1.8.0 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=shinyobjects
Licenses: GPL 3
Build system: r
Synopsis: Access Reactive Data Interactively
Description:

Troubleshooting reactive data in shiny can be difficult. These functions will convert reactive data frames into functions and load all assigned objects into your local environment. If you create a dummy input object, as the function will suggest, you will be able to test your server and ui functions interactively.

r-sfa 1.0.4
Propagated dependencies: r-truncnorm@1.0-9 r-tmvtnorm@1.7 r-readxl@1.4.5 r-randtoolbox@2.0.5 r-pso@1.0.4 r-plm@2.6-7 r-numderiv@2016.8-1.1 r-moments@0.14.1 r-mnormt@2.1.1 r-minqa@1.2.8 r-matrixstats@1.5.0 r-jmisc@0.3.1.1 r-hmisc@5.2-4 r-haven@2.5.5 r-gsl@2.1-9 r-frontier@1.1-8 r-formula@1.2-5 r-fdrtool@1.2.18 r-devtools@2.4.6 r-cubature@2.1.4-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://www.davidharrybernstein.com/software
Licenses: GPL 2+
Build system: r
Synopsis: Stochastic Frontier Analysis
Description:

This package provides a user-friendly framework for estimating a wide variety of cross-sectional and panel stochastic frontier models. Suitable for a broad range of applications, the implementation offers extensive flexibility in specification and estimation techniques.

r-srp 1.2.0
Propagated dependencies: r-mgcv@1.9-4 r-fda@6.3.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=srp
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Smooth-Rough Partitioning of the Regression Coefficients
Description:

This package performs the change-point detection in regression coefficients of linear model by partitioning the regression coefficients into two classes of smoothness. The change-point and the regression coefficients are jointly estimated.

r-scdha 1.2.3
Propagated dependencies: r-uwot@0.2.4 r-torch@0.16.3 r-rhpcblasctl@0.23-42 r-rcppparallel@5.1.11-1 r-rcpparmadillo@15.2.2-1 r-rcppannoy@0.0.22 r-rcpp@1.1.0 r-matrixstats@1.5.0 r-matrix@1.7-4 r-igraph@2.2.1 r-foreach@1.5.2 r-doparallel@1.0.17 r-coro@1.1.0 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/duct317/scDHA
Licenses: GPL 3
Build system: r
Synopsis: Single-Cell Decomposition using Hierarchical Autoencoder
Description:

This package provides a fast and accurate pipeline for single-cell analyses. The scDHA software package can perform clustering, dimension reduction and visualization, classification, and time-trajectory inference on single-cell data (Tran et.al. (2021) <DOI:10.1038/s41467-021-21312-2>).

r-simmr 0.5.1.217
Propagated dependencies: r-viridis@0.6.5 r-reshape2@1.4.5 r-rcppdist@0.1.1.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-r2jags@0.8-9 r-ggplot2@4.0.1 r-ggally@2.4.0 r-compositions@2.0-9 r-checkmate@2.3.3 r-boot@1.3-32 r-bayesplot@1.14.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/andrewcparnell/simmr
Licenses: GPL 2+
Build system: r
Synopsis: Stable Isotope Mixing Model
Description:

Fits Stable Isotope Mixing Models (SIMMs) and is meant as a longer term replacement to the previous widely-used package SIAR. SIMMs are used to infer dietary proportions of organisms consuming various food sources from observations on the stable isotope values taken from the organisms tissue samples. However SIMMs can also be used in other scenarios, such as in sediment mixing or the composition of fatty acids. The main functions are simmr_load() and simmr_mcmc(). The two vignettes contain a quick start and a full listing of all the features. The methods used are detailed in the papers Parnell et al 2010 <doi:10.1371/journal.pone.0009672>, and Parnell et al 2013 <doi:10.1002/env.2221>.

r-suncalcmeeus 0.1.3
Propagated dependencies: r-tibble@3.3.0 r-lubridate@1.9.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://docs.r4photobiology.info/SunCalcMeeus/
Licenses: GPL 2+
Build system: r
Synopsis: Sun Position and Daylight Calculations
Description:

Compute the position of the sun, and local solar time using Meeus formulae. Compute day and/or night length using different twilight definitions or arbitrary sun elevation angles. This package is part of the r4photobiology suite, Aphalo, P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>. Algorithms from Meeus (1998, ISBN:0943396611).

r-stratsel 1.4
Propagated dependencies: r-pbivnorm@0.6.0 r-mnormt@2.1.1 r-memisc@0.99.31.8.3 r-mass@7.3-65 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=StratSel
Licenses: GPL 2+
Build system: r
Synopsis: Strategic Selection Estimator
Description:

This package provides functions to estimate a strategic selection estimator. A strategic selection estimator is an agent error model in which the two random components are not assumed to be orthogonal. In addition this package provides generic functions to print and plot objects of its class as well as the necessary functions to create tables for LaTeX. There is also a function to create dyadic data sets.

r-sfnetworks 0.6.5
Propagated dependencies: r-units@1.0-0 r-tidygraph@1.3.1 r-tibble@3.3.0 r-sfheaders@0.4.5 r-sf@1.0-23 r-rlang@1.1.6 r-lwgeom@0.2-14 r-igraph@2.2.1 r-dplyr@1.1.4 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://luukvdmeer.github.io/sfnetworks/
Licenses: FSDG-compatible
Build system: r
Synopsis: Tidy Geospatial Networks
Description:

This package provides a tidy approach to spatial network analysis, in the form of classes and functions that enable a seamless interaction between the network analysis package tidygraph and the spatial analysis package sf'.

r-sdclog 0.5.1
Propagated dependencies: r-mathjaxr@1.8-0 r-data-table@1.17.8 r-cli@3.6.5 r-checkmate@2.3.3 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/matthiasgomolka/sdcLog
Licenses: GPL 3
Build system: r
Synopsis: Tools for Statistical Disclosure Control in Research Data Centers
Description:

This package provides tools for researchers to explicitly show that their results comply to rules for statistical disclosure control imposed by research data centers. These tools help in checking descriptive statistics and models and in calculating extreme values that are not individual data. Also included is a simple function to create log files. The methods used here are described in the "Guidelines for the checking of output based on microdata research" by Bond, Brandt, and de Wolf (2015) <https://cros.ec.europa.eu/system/files/2024-02/Output-checking-guidelines.pdf>.

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Total results: 69112