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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-spacci 1.0.4
Propagated dependencies: r-seurat@5.3.1 r-reshape2@1.4.5 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pheatmap@1.0.13 r-patchwork@1.3.2 r-nnls@1.6 r-matrix@1.7-4 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-fnn@1.1.4.1 r-dplyr@1.1.4 r-circlize@0.4.16
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SpaCCI
Licenses: GPL 2+
Build system: r
Synopsis: Spatially Aware Cell-Cell Interaction Analysis
Description:

This package provides tools for analyzing spatial cell-cell interactions based on ligand-receptor pairs, including functions for local, regional, and global analysis using spatial transcriptomics data. Integrates with databases like CellChat <http://www.cellchat.org/>, CellPhoneDB <https://www.cellphonedb.org/>, Cellinker <https://www.rna-society.org/cellinker/index.html>, ICELLNET <https://github.com/soumelis-lab/ICELLNET>, and ConnectomeDB <https://humanconnectome.org/software/connectomedb/> to identify ligand-receptor pairs, visualize interactions through heatmaps, chord diagrams, and infer interactions on different spatial scales.

r-selectboost 2.3.0
Propagated dependencies: r-varbvs@2.6-10 r-spls@2.3-2 r-rfast@2.1.5.2 r-msgps@1.3.5 r-lars@1.3 r-igraph@2.2.1 r-glmnet@4.1-10 r-cascade@2.3 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://fbertran.github.io/SelectBoost/
Licenses: GPL 3
Build system: r
Synopsis: General Algorithm to Enhance the Performance of Variable Selection Methods in Correlated Datasets
Description:

An implementation of the selectboost algorithm (Bertrand et al. 2020, Bioinformatics', <doi:10.1093/bioinformatics/btaa855>), which is a general algorithm that improves the precision of any existing variable selection method. This algorithm is based on highly intensive simulations and takes into account the correlation structure of the data. It can either produce a confidence index for variable selection or it can be used in an experimental design planning perspective.

r-ssmn 1.1
Propagated dependencies: r-truncdist@1.0-2 r-sn@2.1.1 r-moments@0.14.1 r-mnormt@2.1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=ssmn
Licenses: GPL 2+
Build system: r
Synopsis: Skew Scale Mixtures of Normal Distributions
Description:

This package performs the EM algorithm for regression models using Skew Scale Mixtures of Normal Distributions.

r-seacarb 3.3.3
Propagated dependencies: r-solvesaphe@2.1.0 r-oce@1.8-3 r-gsw@1.2-0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://CRAN.R-project.org/package=seacarb
Licenses: GPL 2+
Build system: r
Synopsis: Seawater Carbonate Chemistry
Description:

Calculates parameters of the seawater carbonate system and assists the design of ocean acidification perturbation experiments.

r-statgraph 1.0.6
Propagated dependencies: r-rarpack@0.11-0 r-mvtnorm@1.3-3 r-mass@7.3-65 r-igraph@2.2.1 r-foreach@1.5.2 r-doparallel@1.0.17 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://www.ime.usp.br/~fujita/software.html
Licenses: GPL 3+
Build system: r
Synopsis: Statistical Methods for Graphs
Description:

This package contains statistical methods to analyze graphs, such as graph parameter estimation, model selection based on the Graph Information Criterion, statistical tests to discriminate two or more populations of graphs, correlation between graphs, and clustering of graphs. References: Takahashi et al. (2012) <doi:10.1371/journal.pone.0049949>, Fujita et al. (2017) <doi:10.3389/fnins.2017.00066>, Fujita et al. (2017) <doi:10.1016/j.csda.2016.11.016>, Fujita et al. (2019) <doi:10.1093/comnet/cnz028>.

r-survsparse 0.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-purrr@1.2.0 r-nloptr@2.2.1 r-nleqslv@3.3.5 r-mass@7.3-65 r-gaussquad@1.0-3 r-foreach@1.5.2 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=SurvSparse
Licenses: GPL 3
Build system: r
Synopsis: Survival Analysis with Sparse Longitudinal Covariates
Description:

Survival analysis with sparse longitudinal covariates under right censoring scheme. Different hazards models are involved. Please cite the manuscripts corresponding to this package: Sun, Z. et al. (2022) <doi:10.1007/s10985-022-09548-6>, Sun, Z. and Cao, H. (2023) <arXiv:2310.15877> and Sun, D. et al. (2023) <arXiv:2308.15549>.

r-speedybbt 1.0
Propagated dependencies: r-matrix@1.7-4 r-bayeslogit@2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=speedyBBT
Licenses: GPL 3+
Build system: r
Synopsis: Efficient Bayesian Inference for the Bradley--Terry Model
Description:

This package provides a suite of functions that allow a full, fast, and efficient Bayesian treatment of the Bradley--Terry model. Prior assumptions about the model parameters can be encoded through a multivariate normal prior distribution. Inference is performed using a latent variable representation of the model.

r-sansa 0.0.1
Propagated dependencies: r-ggplot2@4.0.1 r-fnn@1.1.4.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sansa
Licenses: GPL 3+
Build system: r
Synopsis: Synthetic Data Generation for Imbalanced Learning in 'R'
Description:

Machine learning is widely used in information-systems design. Yet, training algorithms on imbalanced datasets may severely affect performance on unseen data. For example, in some cases in healthcare, financial, or internet-security contexts, certain sub-classes are difficult to learn because they are underrepresented in training data. This R package offers a flexible and efficient solution based on a new synthetic average neighborhood sampling algorithm ('SANSA'), which, in contrast to other solutions, introduces a novel â placementâ parameter that can be tuned to adapt to each datasets unique manifestation of the imbalance. More information about the algorithm's parameters can be found at Nasir et al. (2022) <https://murtaza.cc/SANSA/>.

r-socratadata 0.1.1
Dependencies: xz@5.4.5
Propagated dependencies: r-tibble@3.3.0 r-sf@1.0-23 r-rlang@1.1.6 r-httr2@1.2.1 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://ryanzomorrodi.github.io/socratadata/
Licenses: GPL 3+
Build system: r
Synopsis: Explore Socrata Data with Ease
Description:

This package provides an interface to search, read, query, and retrieve metadata for datasets hosted on Socrata open data portals. Supports all Socrata data types, including spatial data returned as sf objects.

r-slap 2024.4.1
Propagated dependencies: r-rlang@1.1.6 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/tadascience/slap
Licenses: Expat
Build system: r
Synopsis: Simplified Error Handling
Description:

Alternative to using withCallingHandlers() in the simple case of catch and rethrow. The `%!%` operator evaluates the expression on its left hand side, and if an error occurs, the right hand side is used to construct a new error that embeds the original error.

r-sdmtmb 1.0.0
Propagated dependencies: r-tmb@1.9.18 r-rlang@1.1.6 r-reformulas@0.4.2 r-rcppeigen@0.3.4.0.2 r-nlme@3.1-168 r-mvtnorm@1.3-3 r-mgcv@1.9-4 r-matrix@1.7-4 r-lifecycle@1.0.4 r-generics@0.1.4 r-fmesher@0.5.0 r-fishmod@0.29.2 r-cli@3.6.5 r-assertthat@0.2.1 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://sdmTMB.github.io/sdmTMB/
Licenses: GPL 3
Build system: r
Synopsis: Spatial and Spatiotemporal SPDE-Based GLMMs with 'TMB'
Description:

This package implements spatial and spatiotemporal GLMMs (Generalized Linear Mixed Effect Models) using TMB', fmesher', and the SPDE (Stochastic Partial Differential Equation) Gaussian Markov random field approximation to Gaussian random fields. One common application is for spatially explicit species distribution models (SDMs). See Anderson et al. (2025) <doi:10.18637/jss.v115.i02>.

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>.

r-smitidstruct 0.0.5
Propagated dependencies: r-sf@1.0-23 r-ggplot2@4.0.1 r-biostrings@2.78.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://informatique-mia.inra.fr/biosp/anr-smitid-project
Licenses: GPL 2+ FSDG-compatible
Build system: r
Synopsis: Data Structure and Manipulations Tool for Host and Viral Population
Description:

Statistical Methods for Inferring Transmissions of Infectious Diseases from deep sequencing data (SMITID). It allow sequence-space-time host and viral population data storage, indexation and querying.

r-semiartificial 2.4.1
Propagated dependencies: r-timedate@4051.111 r-statmatch@1.4.3 r-rsnns@0.4-18 r-robustbase@0.99-6 r-nnet@7.3-20 r-mcclust@1.0.1 r-mass@7.3-65 r-logspline@2.1.22 r-ks@1.15.1 r-fpc@2.2-13 r-flexclust@1.5.0 r-corelearn@1.57.3.1 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://lkm.fri.uni-lj.si/rmarko/software/
Licenses: GPL 3
Build system: r
Synopsis: Generator of Semi-Artificial Data
Description:

This package contains methods to generate and evaluate semi-artificial data sets. Based on a given data set different methods learn data properties using machine learning algorithms and generate new data with the same properties. The package currently includes the following data generators: i) a RBF network based generator using rbfDDA() from package RSNNS', ii) a Random Forest based generator for both classification and regression problems iii) a density forest based generator for unsupervised data Data evaluation support tools include: a) single attribute based statistical evaluation: mean, median, standard deviation, skewness, kurtosis, medcouple, L/RMC, KS test, Hellinger distance b) evaluation based on clustering using Adjusted Rand Index (ARI) and FM c) evaluation based on classification performance with various learning models, e.g., random forests.

r-spduration 0.17.3
Propagated dependencies: r-xtable@1.8-4 r-separationplot@1.4 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mass@7.3-65 r-forecast@8.24.0 r-corpcor@1.6.10
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/andybega/spduration
Licenses: GPL 3
Build system: r
Synopsis: Split-Population Duration (Cure) Regression
Description:

An implementation of split-population duration regression models. Unlike regular duration models, split-population duration models are mixture models that accommodate the presence of a sub-population that is not at risk for failure, e.g. cancer patients who have been cured by treatment. This package implements Weibull and Loglogistic forms for the duration component, and focuses on data with time-varying covariates. These models were originally formulated in Boag (1949) and Berkson and Gage (1952), and extended in Schmidt and Witte (1989).

r-scan 0.67.0
Propagated dependencies: r-rstudioapi@0.17.1 r-readxl@1.4.5 r-nlme@3.1-168 r-miniui@0.1.2 r-mcmcglmm@2.36 r-mblm@0.12.1 r-magrittr@2.0.4 r-knitr@1.50 r-kableextra@1.4.0 r-gt@1.3.0 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jazznbass/scan/
Licenses: GPL 3+
Build system: r
Synopsis: Single-Case Data Analyses for Single and Multiple Baseline Designs
Description:

This package provides a collection of procedures for analysing, visualising, and managing single-case data. These include regression models (multilevel, multivariate, bayesian), between case standardised mean difference, overlap indices ('PND', PEM', PAND', PET', tau-u', IRD', baseline corrected tau', CDC'), and randomization tests. Data preparation functions support outlier detection, handling missing values, scaling, and custom transformations. An export function helps to generate html, word, and latex tables in a publication friendly style. A shiny app allows to use scan in a graphical user interface. More details can be found in the online book Analyzing single-case data with R and scan', Juergen Wilbert (2025) <https://jazznbass.github.io/scan-Book/>.

r-sae-projection 0.1.5
Propagated dependencies: r-yardstick@1.3.2 r-workflows@1.3.0 r-tune@2.0.1 r-tidymodels@1.4.1 r-themis@1.0.3 r-survey@4.4-8 r-rsample@1.3.1 r-rlang@1.1.6 r-recipes@1.3.1 r-ranger@0.17.0 r-randomforest@4.7-1.2 r-parsnip@1.3.3 r-lightgbm@4.6.0 r-dplyr@1.1.4 r-doparallel@1.0.17 r-cli@3.6.5 r-caret@7.0-1 r-bonsai@0.4.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Alfrzlp/sae.projection
Licenses: Expat
Build system: r
Synopsis: Small Area Estimation Using Model-Assisted Projection Method
Description:

Combines information from two independent surveys using a model-assisted projection method. Designed for survey sampling scenarios where a large sample collects only auxiliary information (Survey 1) and a smaller sample provides data on both variables of interest and auxiliary variables (Survey 2). Implements a working model to generate synthetic values of the variable of interest by fitting the model to Survey 2 data and predicting values for Survey 1 based on its auxiliary variables (Kim & Rao, 2012) <doi:10.1093/biomet/asr063>.

r-saebnocov 0.1.0
Propagated dependencies: r-rlang@1.1.6 r-dplyr@1.1.4 r-descr@1.1.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=saebnocov
Licenses: GPL 3+
Build system: r
Synopsis: Small Area Estimation using Empirical Bayes without Auxiliary Variable
Description:

Estimates the parameter of small area in binary data without auxiliary variable using Empirical Bayes technique, mainly from Rao and Molina (2015,ISBN:9781118735787) with book entitled "Small Area Estimation Second Edition". This package provides another option of direct estimation using weight. This package also features alpha and beta parameter estimation on calculating process of small area. Those methods are Newton-Raphson and Moment which based on Wilcox (1979) <doi:10.1177/001316447903900302> and Kleinman (1973) <doi:10.1080/01621459.1973.10481332>.

r-sbmedian 0.1.2
Propagated dependencies: r-rdpack@2.6.4 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-expm@1.0-0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SBmedian
Licenses: Expat
Build system: r
Synopsis: Scalable Bayes with Median of Subset Posteriors
Description:

Median-of-means is a generic yet powerful framework for scalable and robust estimation. A framework for Bayesian analysis is called M-posterior, which estimates a median of subset posterior measures. For general exposition to the topic, see the paper by Minsker (2015) <doi:10.3150/14-BEJ645>.

r-simtool 1.1.9
Propagated dependencies: r-vctrs@0.6.5 r-tidyr@1.3.1 r-tibble@3.3.0 r-purrr@1.2.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://marselscheer.github.io/simTool/
Licenses: GPL 3
Build system: r
Synopsis: Conduct Simulation Studies with a Minimal Amount of Source Code
Description:

Tool for statistical simulations that have two components. One component generates the data and the other one analyzes the data. The main aims of the package are the reduction of the administrative source code (mainly loops and management code for the results) and a simple applicability of the package that allows the user to quickly learn how to work with it. Parallel computing is also supported. Finally, convenient functions are provided to summarize the simulation results.

r-smotefamily 1.4.0
Propagated dependencies: r-igraph@2.2.1 r-fnn@1.1.4.1 r-dbscan@1.2.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=smotefamily
Licenses: GPL 3+
Build system: r
Synopsis: Collection of Oversampling Techniques for Class Imbalance Problem Based on SMOTE
Description:

This package provides a collection of various oversampling techniques developed from SMOTE is provided. SMOTE is a oversampling technique which synthesizes a new minority instance between a pair of one minority instance and one of its K nearest neighbor. Other techniques adopt this concept with other criteria in order to generate balanced dataset for class imbalance problem.

r-semnetdictionaries 0.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/AlexChristensen/SemNetDictionaries
Licenses: GPL 3+
Build system: r
Synopsis: Dictionaries for the 'SemNetCleaner' Package
Description:

This package implements dictionaries that can be used in the SemNetCleaner package. Also includes several functions aimed at facilitating the text cleaning analysis in the SemNetCleaner package. This package is designed to integrate and update word lists and dictionaries based on each user's individual needs by allowing users to store and save their own dictionaries. Dictionaries can be added to the SemNetDictionaries package by submitting user-defined dictionaries to <https://github.com/AlexChristensen/SemNetDictionaries>.

r-sprtt 0.2.0
Propagated dependencies: r-purrr@1.2.0 r-mbess@4.9.41 r-lifecycle@1.0.4 r-glue@1.8.0 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://meikesteinhilber.github.io/sprtt/
Licenses: AGPL 3+
Build system: r
Synopsis: Sequential Probability Ratio Tests Toolbox
Description:

It is a toolbox for Sequential Probability Ratio Tests (SPRT), Wald (1945) <doi:10.2134/agronj1947.00021962003900070011x>. SPRTs are applied to the data during the sampling process, ideally after each observation. At any stage, the test will return a decision to either continue sampling or terminate and accept one of the specified hypotheses. The seq_ttest() function performs one-sample, two-sample, and paired t-tests for testing one- and two-sided hypotheses (Schnuerch & Erdfelder (2019) <doi:10.1037/met0000234>). The seq_anova() function allows to perform a sequential one-way fixed effects ANOVA (Steinhilber et al. (2023) <doi:10.31234/osf.io/m64ne>). Learn more about the package by using vignettes "browseVignettes(package = "sprtt")" or go to the website <https://meikesteinhilber.github.io/sprtt/>.

r-slash 0.2.0
Propagated dependencies: r-r6@2.6.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/feddelegrand7/slash
Licenses: Expat
Build system: r
Synopsis: Path-Based Access and Manipulation of Nested Lists
Description:

Allows users to list data structures using path-based navigation. Provides intuitive methods for storing, accessing, and manipulating nested data through simple path strings. Key features include strict mode validation, path existence checking, recursive operations, and automatic parent-level creation. Designed for use cases requiring organized storage of complex nested data while maintaining simple access patterns. Particularly useful for configuration management, nested settings, and any application where data naturally forms a tree-like structure.

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