_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

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-sketching 0.1.2
Propagated dependencies: r-rcpp@1.1.0 r-phangorn@2.12.1 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/sokbae/sketching/
Licenses: GPL 3
Build system: r
Synopsis: Sketching of Data via Random Subspace Embeddings
Description:

Construct sketches of data via random subspace embeddings. For more details, see the following papers. Lee, S. and Ng, S. (2022). "Least Squares Estimation Using Sketched Data with Heteroskedastic Errors," Proceedings of the 39th International Conference on Machine Learning (ICML22), 162:12498-12520. Lee, S. and Ng, S. (2020). "An Econometric Perspective on Algorithmic Subsampling," Annual Review of Economics, 12(1): 45â 80.

r-spongebob 0.4.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jayqi/spongebob
Licenses: Modified BSD
Build system: r
Synopsis: SpongeBob-Case Converter : spOngEboB-CASe CoNVertER
Description:

Convert text (and text in R objects) to Mocking SpongeBob case <https://knowyourmeme.com/memes/mocking-spongebob> and show them off in fun ways. CoNVErT TexT (AnD TeXt In r ObJeCtS) To MOCkINg SpoNgebOb CAsE <https://knowyourmeme.com/memes/mocking-spongebob> aND shOw tHem OFf IN Fun WayS.

r-sensibo-sky 1.0.0
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/theclue/sensibo.sky
Licenses: Expat
Build system: r
Synopsis: Access to 'Sensibo Sky' API V2 for Air Conditioners Remote Control
Description:

This package provides an interface to the Sensibo Sky API which allows to remotely control non-smart air conditioning units. See <https://sensibo.com> for more informations.

r-synthesisr 0.4.1
Propagated dependencies: r-vroom@1.6.6 r-unglue@0.1.0 r-tibble@3.3.0 r-stringr@1.6.0 r-stringdist@0.9.15 r-rlang@1.1.6 r-purrr@1.2.0 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://martinwestgate.com/synthesisr/
Licenses: GPL 3
Build system: r
Synopsis: Import, Assemble, and Deduplicate Bibliographic Datasets
Description:

This package provides a critical first step in systematic literature reviews and mining of academic texts is to identify relevant texts from a range of sources, particularly databases such as Web of Science or Scopus'. These databases often export in different formats or with different metadata tags. synthesisr expands on the tools outlined by Westgate (2019) <doi:10.1002/jrsm.1374> to import bibliographic data from a range of formats (such as bibtex', ris', or ciw') in a standard way, and allows merging and deduplication of the resulting dataset.

r-singcar 0.1.5
Propagated dependencies: r-withr@3.0.2 r-mass@7.3-65 r-cholwishart@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jorittmo/singcar
Licenses: Expat
Build system: r
Synopsis: Comparing Single Cases to Small Samples
Description:

When comparing single cases to control populations and no parameters are known researchers and clinicians must estimate these with a control sample. This is often done when testing a case's abnormality on some variable or testing abnormality of the discrepancy between two variables. Appropriate frequentist and Bayesian methods for doing this are here implemented, including tests allowing for the inclusion of covariates. These have been developed first and foremost by John Crawford and Paul Garthwaite, e.g. in Crawford and Howell (1998) <doi:10.1076/clin.12.4.482.7241>, Crawford and Garthwaite (2005) <doi:10.1037/0894-4105.19.3.318>, Crawford and Garthwaite (2007) <doi:10.1080/02643290701290146> and Crawford, Garthwaite and Ryan (2011) <doi:10.1016/j.cortex.2011.02.017>. The package is also equipped with power calculators for each method.

r-scanstatistics 1.1.2
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-sets@1.0-25 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-plyr@1.8.9 r-magrittr@2.0.4 r-ismev@1.43 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/promerpr/scanstatistics
Licenses: GPL 3+
Build system: r
Synopsis: Space-Time Anomaly Detection using Scan Statistics
Description:

Detection of anomalous space-time clusters using the scan statistics methodology. Focuses on prospective surveillance of data streams, scanning for clusters with ongoing anomalies. Hypothesis testing is made possible by Monte Carlo simulation. Allévius (2018) <doi:10.21105/joss.00515>.

r-safejoin 0.2.0
Propagated dependencies: r-lifecycle@1.0.4 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://github.com/SamEdwardes/safejoin
Licenses: Expat
Build system: r
Synopsis: Perform "Safe" Table Joins
Description:

The goal of safejoin is to guarantee that when performing joins extra rows are not added to your data. safejoin provides a wrapper around dplyr::left_join that will raise an error when extra rows are unexpectedly added to your data. This can be useful when working with data where you expect there to be a many to one relationship but you are not certain the relationship holds.

r-simdag 0.5.2
Propagated dependencies: r-rlang@1.1.6 r-rfast@2.1.5.2 r-igraph@2.2.1 r-ggdag@0.2.13 r-data-table@1.17.8 r-dagitty@0.3-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/RobinDenz1/simDAG
Licenses: GPL 3+
Build system: r
Synopsis: Simulate Data from a (Time-Dependent) Causal DAG
Description:

Simulate complex data from a given directed acyclic graph and information about each individual node. Root nodes are simply sampled from the specified distribution. Child Nodes are simulated according to one of many implemented regressions, such as logistic regression, linear regression, poisson regression or any other function. Also includes a comprehensive framework for discrete-time simulation, discrete-event simulation, and networks-based simulation which can generate even more complex longitudinal and dependent data. For more details, see Robin Denz, Nina Timmesfeld (2025) <doi:10.48550/arXiv.2506.01498>.

r-smetlite 0.2.10
Propagated dependencies: r-stringr@1.6.0 r-readr@2.1.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/BaselDataScience/smetlite
Licenses: GPL 3+
Build system: r
Synopsis: Read and Write SMET Files
Description:

Simple class to hold contents of a SMET file as specified in Bavay (2021) <https://code.wsl.ch/snow-models/meteoio/-/blob/master/doc/SMET_specifications.pdf>. There numerical meteorological measurements are all based on MKS (SI) units and timestamp is standardized to UTC time.

r-spaddins 0.2.0
Propagated dependencies: r-stringr@1.6.0 r-rstudioapi@0.17.1 r-purrr@1.2.0 r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/GegznaV/spAddins
Licenses: Expat
Build system: r
Synopsis: Set of RStudio Addins
Description:

This package provides a set of RStudio addins that are designed to be used in combination with user-defined RStudio keyboard shortcuts. These addins either: 1) insert text at a cursor position (e.g. insert operators %>%, <<-, %$%, etc.), 2) replace symbols in selected pieces of text (e.g., convert backslashes to forward slashes which results in stings like "c:\data\" converted into "c:/data/") or 3) enclose text with special symbols (e.g., converts "bold" into "**bold**") which is convenient for editing R Markdown files.

r-smle 2.2-3
Propagated dependencies: r-mvnfast@0.2.8 r-matrixcalc@1.0-6 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SMLE
Licenses: GPL 3
Build system: r
Synopsis: Joint Feature Screening via Sparse MLE
Description:

Feature screening is a powerful tool in processing ultrahigh dimensional data. It attempts to screen out most irrelevant features in preparation for a more elaborate analysis. Xu and Chen (2014)<doi:10.1080/01621459.2013.879531> proposed an effective screening method SMLE, which naturally incorporates the joint effects among features in the screening process. This package provides an efficient implementation of SMLE-screening for high-dimensional linear, logistic, and Poisson models. The package also provides a function for conducting accurate post-screening feature selection based on an iterative hard-thresholding procedure and a user-specified selection criterion. Zang, Xu, and Burkett (2025)<doi:10.18637/jss.v115.i08>.

r-stereomorph 1.6.7
Propagated dependencies: r-tiff@0.1-12 r-svgviewr@1.4.3 r-shiny@1.11.1 r-rjson@0.2.23 r-rcpp@1.1.0 r-png@0.1-8 r-mass@7.3-65 r-jpeg@0.1-11 r-bezier@1.1.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://aaronolsen.github.io/software/stereomorph.html
Licenses: CC-BY-SA 4.0
Build system: r
Synopsis: Stereo Camera Calibration and Reconstruction
Description:

This package provides functions for the collection of 3D points and curves using a stereo camera setup.

r-simsurv 1.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=simsurv
Licenses: GPL 3+ FSDG-compatible
Build system: r
Synopsis: Simulate Survival Data
Description:

Simulate survival times from standard parametric survival distributions (exponential, Weibull, Gompertz), 2-component mixture distributions, or a user-defined hazard, log hazard, cumulative hazard, or log cumulative hazard function. Baseline covariates can be included under a proportional hazards assumption. Time dependent effects (i.e. non-proportional hazards) can be included by interacting covariates with linear time or a user-defined function of time. Clustered event times are also accommodated. The 2-component mixture distributions can allow for a variety of flexible baseline hazard functions reflecting those seen in practice. If the user wishes to provide a user-defined hazard or log hazard function then this is possible, and the resulting cumulative hazard function does not need to have a closed-form solution. For details see the supporting paper <doi:10.18637/jss.v097.i03>. Note that this package is modelled on the survsim package available in the Stata software (see Crowther and Lambert (2012) <https://www.stata-journal.com/sjpdf.html?articlenum=st0275> or Crowther and Lambert (2013) <doi:10.1002/sim.5823>).

r-surveillance 1.25.0
Propagated dependencies: r-xtable@1.8-4 r-spatstat-geom@3.6-1 r-sp@2.2-0 r-polycub@0.9.4 r-nlme@3.1-168 r-matrix@1.7-4 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://surveillance.R-Forge.R-project.org/
Licenses: GPL 2
Build system: r
Synopsis: Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena
Description:

Statistical methods for the modeling and monitoring of time series of counts, proportions and categorical data, as well as for the modeling of continuous-time point processes of epidemic phenomena. The monitoring methods focus on aberration detection in count data time series from public health surveillance of communicable diseases, but applications could just as well originate from environmetrics, reliability engineering, econometrics, or social sciences. The package implements many typical outbreak detection procedures such as the (improved) Farrington algorithm, or the negative binomial GLR-CUSUM method of Hoehle and Paul (2008) <doi:10.1016/j.csda.2008.02.015>. A novel CUSUM approach combining logistic and multinomial logistic modeling is also included. The package contains several real-world data sets, the ability to simulate outbreak data, and to visualize the results of the monitoring in a temporal, spatial or spatio-temporal fashion. A recent overview of the available monitoring procedures is given by Salmon et al. (2016) <doi:10.18637/jss.v070.i10>. For the retrospective analysis of epidemic spread, the package provides three endemic-epidemic modeling frameworks with tools for visualization, likelihood inference, and simulation. hhh4() estimates models for (multivariate) count time series following Paul and Held (2011) <doi:10.1002/sim.4177> and Meyer and Held (2014) <doi:10.1214/14-AOAS743>. twinSIR() models the susceptible-infectious-recovered (SIR) event history of a fixed population, e.g, epidemics across farms or networks, as a multivariate point process as proposed by Hoehle (2009) <doi:10.1002/bimj.200900050>. twinstim() estimates self-exciting point process models for a spatio-temporal point pattern of infective events, e.g., time-stamped geo-referenced surveillance data, as proposed by Meyer et al. (2012) <doi:10.1111/j.1541-0420.2011.01684.x>. A recent overview of the implemented space-time modeling frameworks for epidemic phenomena is given by Meyer et al. (2017) <doi:10.18637/jss.v077.i11>.

r-senatebr 0.1.0
Propagated dependencies: r-xml2@1.5.0 r-tidyr@1.3.1 r-stringr@1.6.0 r-rvest@1.0.5 r-purrr@1.2.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-httr@1.4.7 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://github.com/vsntos/senatebR
Licenses: Expat
Build system: r
Synopsis: Collect Data from the Brazilian Federal Senate Open Data API
Description:

This package provides functions to access and collect data from the Brazilian Federal Senate open data API and website. Covers senators, legislative materials, committees, voting records, speeches, provisional measures, vetoes, and legislative agendas, returning results as tidy data frames ready for analysis.

r-stratallo 3.0.1
Propagated dependencies: r-rdpack@2.6.4 r-lifecycle@1.0.4 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/wwojciech/stratallo
Licenses: GPL 2
Build system: r
Synopsis: Optimum Sample Allocation in Stratified Sampling
Description:

This package provides exact analytical algorithms for computing optimum sample allocations in stratified sampling. Supports classical Neyman-Tschuprow allocation, minimum-cost allocation under a variance constraint, and multi-domain allocation with controlled precision. Handles lower and upper bounds, cost constraints, and multiple domains. Includes helper functions for variance computation, allocation summaries, rounding, and example datasets for testing and benchmarking.

r-smartmap 0.2.0
Propagated dependencies: r-sf@1.0-23 r-magrittr@2.0.4 r-leaflet@2.2.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/s-fleck/smartmap
Licenses: Expat
Build system: r
Synopsis: Smartly Create Maps from R Objects
Description:

Preview spatial data as leaflet maps with minimal effort. smartmap is optimized for interactive use and distinguishes itself from similar packages because it does not need real spatial ('sp or sf') objects an input; instead, it tries to automatically coerce everything that looks like spatial data to sf objects or leaflet maps. It - for example - supports direct mapping of: a vector containing a single coordinate pair, a two column matrix, a data.frame with longitude and latitude columns, or the path or URL to a (possibly compressed) shapefile'.

r-siebanxicor 1.0.0
Propagated dependencies: 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://cran.r-project.org/package=siebanxicor
Licenses: Expat
Build system: r
Synopsis: Query Data Series from Bank of Mexico
Description:

Allows to retrieve time series of all indicators available in the Bank of Mexico's Economic Information System (<http://www.banxico.org.mx/SieInternet/>).

r-smleph 0.1.1
Propagated dependencies: r-splines2@0.5.4 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/taehwa015/smlePH/
Licenses: GPL 3+
Build system: r
Synopsis: Sieve Maximum Full Likelihood Estimation for the Right-Censored Proportional Hazards Model
Description:

Fitting the full likelihood proportional hazards model and extracting the residuals.

r-spm2 1.1.3
Propagated dependencies: r-spm@1.2.3 r-sp@2.2-0 r-randomforest@4.7-1.2 r-nlme@3.1-168 r-gstat@2.1-4 r-glmnet@4.1-10 r-gbm@2.2.2 r-fields@17.1 r-e1071@1.7-16
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spm2
Licenses: GPL 2+
Build system: r
Synopsis: Spatial Predictive Modeling
Description:

An updated and extended version of spm package, by introducing some further novel functions for modern statistical methods (i.e., generalised linear models, glmnet, generalised least squares), thin plate splines, support vector machine, kriging methods (i.e., simple kriging, universal kriging, block kriging, kriging with an external drift), and novel hybrid methods (228 hybrids plus numerous variants) of modern statistical methods or machine learning methods with mathematical and/or univariate geostatistical methods for spatial predictive modelling. For each method, two functions are provided, with one function for assessing the predictive errors and accuracy of the method based on cross-validation, and the other for generating spatial predictions. It also contains a couple of functions for data preparation and predictive accuracy assessment.

r-sejong 0.01
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/haven-jeon/Sejong
Licenses: GPL 3
Build system: r
Synopsis: KoNLP static dictionaries and Sejong project resources
Description:

Sejong(http://www.sejong.or.kr/) corpus and Hannanum(http://semanticweb.kaist.ac.kr/home/index.php/HanNanum) dictionaries for KoNLP.

r-spocc 1.2.4
Propagated dependencies: r-wk@0.9.4 r-whisker@0.4.1 r-tibble@3.3.0 r-s2@1.1.9 r-rvertnet@0.8.4 r-ridigbio@0.4.1 r-rgbif@3.8.5 r-rebird@1.3.0 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-data-table@1.17.8 r-crul@1.6.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ropensci/spocc
Licenses: Expat
Build system: r
Synopsis: Interface to Species Occurrence Data Sources
Description:

This package provides a programmatic interface to many species occurrence data sources, including Global Biodiversity Information Facility ('GBIF'), iNaturalist', eBird', Integrated Digitized Biocollections ('iDigBio'), VertNet', Ocean Biogeographic Information System ('OBIS'), and Atlas of Living Australia ('ALA'). Includes functionality for retrieving species occurrence data, and combining those data.

r-sparsechol 0.3.2
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/samuel-watson/SparseChol
Licenses: GPL 2+
Build system: r
Synopsis: Sparse Matrix C++ Classes Including Sparse Cholesky LDL Decomposition of Symmetric Matrices
Description:

C++ classes for sparse matrix methods including implementation of sparse LDL decomposition of symmetric matrices and solvers described by Timothy A. Davis (2016) <https://fossies.org/linux/SuiteSparse/LDL/Doc/ldl_userguide.pdf>. Provides a set of C++ classes for basic sparse matrix specification and linear algebra, and a class to implement sparse LDL decomposition and solvers. See <https://github.com/samuel-watson/SparseChol> for details.

r-ssrtcalc 0.3.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SSRTcalc
Licenses: GPL 3
Build system: r
Synopsis: Easy SSRT Calculation
Description:

This is a collection of functions to calculate stop-signal reaction time (SSRT). Includes functions for both "integration" and "mean" methods; both fixed and adaptive stop-signal delays are supported (see appropriate functions). Calculation is based on Verbruggen et al. (2019) <doi:10.7554/eLife.46323.001> and Verbruggen et al. (2013) <doi:10.1177/0956797612457390>.

Total packages: 69240