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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-sarima 0.9.5
Propagated dependencies: r-rdpack@2.6.4 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-polynomf@2.0-8 r-numderiv@2016.8-1.1 r-ltsa@1.4.6.1 r-lagged@0.3.2 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://geobosh.github.io/sarima/https://github.com/GeoBosh/sarima
Licenses: GPL 2+
Build system: r
Synopsis: Simulation and Prediction with Seasonal ARIMA Models
Description:

Functions, classes and methods for time series modelling with ARIMA and related models. The aim of the package is to provide consistent interface for the user. For example, a single function autocorrelations() computes various kinds of theoretical and sample autocorrelations. This is work in progress, see the documentation and vignettes for the current functionality. Function sarima() fits extended multiplicative seasonal ARIMA models with trends, exogenous variables and arbitrary roots on the unit circle, which can be fixed or estimated (for the algebraic basis for this see <doi:10.48550/arXiv.2208.05055>, a paper on the methodology is being prepared).

r-samplesizelogisticcasecontrol 2.0.2
Propagated dependencies: 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=samplesizelogisticcasecontrol
Licenses: GPL 2
Build system: r
Synopsis: Sample Size and Power Calculations for Case-Control Studies
Description:

To determine sample size or power for case-control studies to be analyzed using logistic regression.

r-stinepack 1.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stinepack
Licenses: GPL 2+
Build system: r
Synopsis: Stineman, a Consistently Well Behaved Method of Interpolation
Description:

This package provides a consistently well behaved method of interpolation based on piecewise rational functions using Stineman's algorithm.

r-simest 0.4-1-1
Propagated dependencies: r-nnls@1.6 r-cobs@1.3-9-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://curves-etc.r-forge.r-project.org/
Licenses: GPL 2
Build system: r
Synopsis: Constrained Single Index Model Estimation
Description:

Estimation of function and index vector in single index model ('sim') with (and w/o) shape constraints including different smoothness conditions. See, e.g., Kuchibhotla and Patra (2020) <doi:10.3150/19-BEJ1183>.

r-survma 1.6.8
Propagated dependencies: r-survival@3.8-3 r-quadprog@1.5-8 r-pec@2025.06.24 r-maxlik@1.5-2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: <https://github.com/Stat-WangXG/SurvMA>
Licenses: GPL 2+
Build system: r
Synopsis: Model Averaging Prediction of Personalized Survival Probabilities
Description:

Provide model averaging-based approaches that can be used to predict personalized survival probabilities. The key underlying idea is to approximate the conditional survival function using a weighted average of multiple candidate models. Two scenarios of candidate models are allowed: (Scenario 1) partial linear Cox model and (Scenario 2) time-varying coefficient Cox model. A reference of the underlying methods is Li and Wang (2023) <doi:10.1016/j.csda.2023.107759>.

r-shinyservicebot 0.1.0
Propagated dependencies: r-shiny@1.11.1 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/capiaas/shinyservicebot
Licenses: Expat
Build system: r
Synopsis: Servicebot 'Shiny' Integration
Description:

Create in-app purchasing and subscriptions through Servicebot payment using the Stripe framework.

r-stlplus 0.5.1
Propagated dependencies: r-yaimpute@1.0-34.1 r-rcpp@1.1.0 r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/hafen/stlplus
Licenses: Modified BSD
Build system: r
Synopsis: Enhanced Seasonal Decomposition of Time Series by Loess
Description:

Decompose a time series into seasonal, trend, and remainder components using an implementation of Seasonal Decomposition of Time Series by Loess (STL) that provides several enhancements over the STL method in the stats package. These enhancements include handling missing values, providing higher order (quadratic) loess smoothing with automated parameter choices, frequency component smoothing beyond the seasonal and trend components, and some basic plot methods for diagnostics.

r-sate 3.1.1
Propagated dependencies: r-survey@4.4-8 r-mass@7.3-65 r-ellipse@0.5.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sate
Licenses: CC0
Build system: r
Synopsis: Scientific Analysis of Trial Errors (SATE)
Description:

Bundles functions used to analyze the harmfulness of trial errors in criminal trials. Functions in the Scientific Analysis of Trial Errors ('sate') package help users estimate the probability that a jury will find a defendant guilty given jurors preferences for a guilty verdict and the uncertainty of that estimate. Users can also compare actual and hypothetical trial conditions to conduct harmful error analysis. The conceptual framework is discussed by Barry Edwards, A Scientific Framework for Analyzing the Harmfulness of Trial Errors, UCLA Criminal Justice Law Review (2024) <doi:10.5070/CJ88164341> and Barry Edwards, If The Jury Only Knew: The Effect Of Omitted Mitigation Evidence On The Probability Of A Death Sentence, Virginia Journal of Social Policy & the Law (2025) <https://vasocialpolicy.org/wp-content/uploads/2025/05/Edwards-If-The-Jury-Only-Knew.pdf>. The relationship between individual jurors verdict preferences and the probability that a jury returns a guilty verdict has been studied by Davis (1973) <doi:10.1037/h0033951>; MacCoun & Kerr (1988) <doi:10.1037/0022-3514.54.1.21>, and Devine et el. (2001) <doi:10.1037/1076-8971.7.3.622>, among others.

r-shiny-exe 0.2.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/AODiakite
Licenses: GPL 2
Build system: r
Synopsis: Launch a Shiny Application without Opening R or RStudio
Description:

Launch an application by a simple click without opening R or RStudio. The package has 3 functions of which only one is essential in its use, `shiny.exe()`. It generates a script in the open shiny project then create a shortcut in the same folder that allows you to launch the app by clicking.If you set `host = public'`, the application will be launched on the public server to which you are connected. Thus, all other devices connected to the same server will be able to access the application through the link of your `IPv4` extended by the port. You can stop the application by leaving the terminal opened by the shortcut.

r-sciplot 1.2-0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sciplot
Licenses: GPL 2+
Build system: r
Synopsis: Scientific Graphing Functions for Factorial Designs
Description:

This package provides a collection of functions that creates graphs with error bars for data collected from one-way or higher factorial designs.

r-shinyoauth 0.4.0
Propagated dependencies: r-shiny@1.11.1 r-s7@0.2.1 r-rlang@1.1.6 r-r6@2.6.1 r-openssl@2.3.4 r-jsonlite@2.0.0 r-jose@1.2.1 r-httr2@1.2.1 r-htmltools@0.5.8.1 r-cli@3.6.5 r-cachem@1.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/lukakoning/shinyOAuth
Licenses: Expat
Build system: r
Synopsis: Provider-Agnostic OAuth Authentication for 'shiny' Applications
Description:

This package provides a simple, configurable, provider-agnostic OAuth 2.0 and OpenID Connect (OIDC) authentication framework for shiny applications using S7 classes. Defines providers, clients, and tokens, as well as various supporting functions and a shiny module. Features include cross-site request forgery (CSRF) protection, state encryption, Proof Key for Code Exchange (PKCE) handling, validation of OIDC identity tokens (nonces, signatures, claims), automatic user info retrieval, asynchronous flows, and hooks for audit logging.

r-simlandr 0.4.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-sim-diffproc@5.0 r-rlang@1.1.6 r-purrr@1.2.0 r-progress@1.2.3 r-plotly@4.11.0 r-mass@7.3-65 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-ks@1.15.1 r-htmlwidgets@1.6.4 r-ggplot2@4.0.1 r-gganimate@1.0.11 r-furrr@0.3.1 r-forcats@1.0.1 r-dplyr@1.1.4 r-digest@0.6.39 r-coda@0.19-4.1 r-bigmemory@4.6.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://sciurus365.github.io/simlandr/
Licenses: GPL 3+
Build system: r
Synopsis: Simulation-Based Landscape Construction for Dynamical Systems
Description:

This package provides a toolbox for constructing potential landscapes for dynamical systems using Monte Carlo simulation. The method is based on the potential landscape definition by Wang et al. (2008) <doi:10.1073/pnas.0800579105> (also see Zhou & Li, 2016 <doi:10.1063/1.4943096> for further mathematical discussions) and can be used for a large variety of models.

r-spselect 0.0.1
Propagated dependencies: r-tester@0.3.0 r-pracma@2.4.6 r-magic@1.6-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spselect
Licenses: GPL 2+
Build system: r
Synopsis: Selecting Spatial Scale of Covariates in Regression Models
Description:

Fits spatial scale (SS) forward stepwise regression, SS incremental forward stagewise regression, SS least angle regression (LARS), and SS lasso models. All area-level covariates are considered at all available scales to enter a model, but the SS algorithms are constrained to select each area-level covariate at a single spatial scale.

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-spuriouscorrelations 0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spuriouscorrelations
Licenses: CC0
Build system: r
Synopsis: Datasets with Strong and Spurious Correlations
Description:

This package provides datasets from Vigen (2015) <https://web.archive.org/web/20230607181247/https%3A/tylervigen.com/spurious-correlations> rescued from the Internet Wayback Machine. These should be preserved for statistics introductory courses as these make it very clear that correlation is not causation.

r-semgraph 1.2.4
Propagated dependencies: r-rgraphviz@2.54.0 r-rbgl@1.86.0 r-protoclust@1.6.4 r-pbapply@1.7-4 r-mvtnorm@1.3-3 r-mgcv@1.9-4 r-lavaan@0.6-20 r-igraph@2.2.1 r-graphite@1.56.0 r-graph@1.88.0 r-glmnet@4.1-10 r-glasso@1.11 r-ggm@2.5.2 r-gdata@3.0.1 r-flip@2.5.1 r-dagitty@0.3-4 r-corpcor@1.6.10 r-boot@1.3-32 r-aspect@1.0-7 r-annotationdbi@1.72.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/fernandoPalluzzi/SEMgraph
Licenses: GPL 3
Build system: r
Synopsis: Network Analysis and Causal Inference Through Structural Equation Modeling
Description:

Estimate networks and causal relationships in complex systems through Structural Equation Modeling. This package also includes functions for importing, weight, manipulate, and fit biological network models within the Structural Equation Modeling framework as outlined in the Supplementary Material of Grassi M, Palluzzi F, Tarantino B (2022) <doi:10.1093/bioinformatics/btac567>.

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-semsfa 1.2
Propagated dependencies: r-np@0.60-18 r-moments@0.14.1 r-mgcv@1.9-4 r-iterators@1.0.14 r-gamlss@5.5-0 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=semsfa
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Semiparametric Estimation of Stochastic Frontier Models
Description:

Semiparametric Estimation of Stochastic Frontier Models following a two step procedure: in the first step semiparametric or nonparametric regression techniques are used to relax parametric restrictions of the functional form representing technology and in the second step variance parameters are obtained by pseudolikelihood estimators or by method of moments.

r-same 0.1.0
Propagated dependencies: r-survival@3.8-3 r-rjags@4-17 r-ggplot2@4.0.1 r-extradistr@1.10.0 r-expint@0.1-9 r-coda@0.19-4.1 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SAME
Licenses: GPL 2
Build system: r
Synopsis: Seamless Adaptive Multi-Arm Multi-Stage Enrichment
Description:

Design a Bayesian seamless multi-arm biomarker-enriched phase II/III design with the survival endpoint with allowing sample size re-estimation. James M S Wason, Jean E Abraham, Richard D Baird, Ioannis Gournaris, Anne-Laure Vallier, James D Brenton, Helena M Earl, Adrian P Mander (2015) <doi:10.1038/bjc.2015.278>. Guosheng Yin, Nan Chen, J. Jack Lee (2018) <doi:10.1007/s12561-017-9199-7>. Ying Yuan, Beibei Guo, Mark Munsell, Karen Lu, Amir Jazaeri (2016) <doi:10.1002/sim.6971>.

r-sbagm 0.1.0
Propagated dependencies: r-rugarch@1.5-4 r-msgarch@2.51 r-forecast@8.24.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SBAGM
Licenses: GPL 3
Build system: r
Synopsis: Search Best ARIMA, GARCH, and MS-GARCH Model
Description:

Get the most appropriate autoregressive integrated moving average, generalized auto-regressive conditional heteroscedasticity and Markov switching GARCH model. For method details see Haas M, Mittnik S, Paolella MS (2004). <doi:10.1093/jjfinec/nbh020>, Bollerslev T (1986). <doi:10.1016/0304-4076(86)90063-1>.

r-sever 0.0.7
Propagated dependencies: r-shiny@1.11.1 r-htmltools@0.5.8.1 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://sever.john-coene.com/
Licenses: Expat
Build system: r
Synopsis: Customise 'Shiny' Disconnected Screens and Error Messages
Description:

Customise Shiny disconnected screens as well as sanitize error messages to make them clearer and friendlier to the user.

r-saerobust 0.5.0
Propagated dependencies: r-spdep@1.4-1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pbapply@1.7-4 r-modules@0.13.0 r-memoise@2.0.1 r-matrix@1.7-4 r-mass@7.3-65 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-assertthat@0.2.1 r-aoos@0.5.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=saeRobust
Licenses: Expat
Build system: r
Synopsis: Robust Small Area Estimation
Description:

This package provides methods to fit robust alternatives to commonly used models used in Small Area Estimation. The methods here used are based on best linear unbiased predictions and linear mixed models. At this time available models include area level models incorporating spatial and temporal correlation in the random effects.

r-symdmatrix 2.1.1
Propagated dependencies: r-linkedmatrix@1.4.0 r-ff@4.5.2 r-bit@4.6.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/QuantGen/symDMatrix
Licenses: Expat
Build system: r
Synopsis: Partitioned Symmetric Matrices
Description:

This package provides a matrix-like class to represent a symmetric matrix partitioned into file-backed blocks.

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