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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-amp 1.0.0
Propagated dependencies: r-tidyr@1.3.1 r-superlearner@2.0-29 r-rlang@1.1.6 r-mass@7.3-65 r-glmnet@4.1-10 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=amp
Licenses: GPL 3+
Build system: r
Synopsis: Statistical Test for the Multivariate Point Null Hypotheses
Description:

This package provides a testing framework for testing the multivariate point null hypothesis. A testing framework described in Elder et al. (2022) <arXiv:2203.01897> to test the multivariate point null hypothesis. After the user selects a parameter of interest and defines the assumed data generating mechanism, this information should be encoded in functions for the parameter estimator and its corresponding influence curve. Some parameter and data generating mechanism combinations have codings in this package, and are explained in detail in the article.

r-actisleep 0.2.2
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-rsqlite@2.4.4 r-lubridate@1.9.4 r-lazyeval@0.2.2 r-dplyr@1.1.4 r-dbi@1.2.3 r-accelerometry@3.1.2
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=ActiSleep
Licenses: GPL 3
Build system: r
Synopsis: Sleep Duration Estimate Algorithm
Description:

This package provides sleep duration estimates using a Pruned Dynamic Programming (PDP) algorithm that efficiently identifies change-points. PDP applied to physical activity data can identify transitions from wakefulness to sleep and vice versa. Baek, Jonggyu, Banker, Margaret, Jansen, Erica C., She, Xichen, Peterson, Karen E., Pitchford, E. Andrew, Song, Peter X. K. (2021) An Efficient Segmentation Algorithm to Estimate Sleep Duration from Actigraphy Data <doi:10.1007/s12561-021-09309-3>.

r-advice 1.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=ADVICE
Licenses: FSDG-compatible
Build system: r
Synopsis: Automatic Direct Variable Selection via Interrupted Coefficient Estimation
Description:

Accurate point and interval estimation methods for multiple linear regression coefficients, under classical normal and independent error assumptions, taking into account variable selection.

r-afheritability 0.1.0
Propagated dependencies: r-shiny@1.11.1 r-reshape2@1.4.5 r-mvtnorm@1.3-3 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=AFheritability
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: The Attributable Fraction (AF) Described as a Function of Disease Heritability, Prevalence and Intervention Specific Factors
Description:

The AFfunction() is a function which returns an estimate of the Attributable Fraction (AF) and a plot of the AF as a function of heritability, disease prevalence, size of target group and intervention effect. Since the AF is a function of several factors, a shiny app is used to better illustrate how the relationship between the AF and heritability depends on several other factors. The app is ran by the function runShinyApp(). For more information see Dahlqwist E et al. (2019) <doi:10.1007/s00439-019-02006-8>.

r-alphavantagepf 0.3.2
Propagated dependencies: r-timedate@4051.111 r-tidyr@1.3.1 r-stringr@1.6.0 r-readr@2.1.6 r-purrr@1.2.0 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 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/derekholmes0/alphavantagepf
Licenses: GPL 3+
Build system: r
Synopsis: Comprehensive R Wrapper for 'Alphavantage Financial Data' API
Description:

Download Alphavantage financial data <https://www.alphavantage.co/documentation/> to reduced data.table objects. Includes support functions to extract and simplify complex data returned from API calls.

r-argmincs 1.1.0
Propagated dependencies: r-withr@3.0.2 r-rdpack@2.6.4 r-mass@7.3-65 r-ldats@0.3.0 r-glue@1.8.0 r-bsda@1.2.2
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/xu3cl4/argminCS
Licenses: Expat
Build system: r
Synopsis: Argmin Inference over a Discrete Candidate Set
Description:

This package provides methods to construct frequentist confidence sets with valid marginal coverage for identifying the population-level argmin or argmax based on IID data. For instance, given an n by p loss matrixâ where n is the sample size and p is the number of modelsâ the CS.argmin() method produces a discrete confidence set that contains the model with the minimal (best) expected risk with desired probability. The argmin.HT() method helps check if a specific model should be included in such a confidence set. The main implemented method is proposed by Tianyu Zhang, Hao Lee and Jing Lei (2024) "Winners with confidence: Discrete argmin inference with an application to model selection".

r-adaptivetau 2.3-2
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/plfjohnson/adaptivetau
Licenses: GPL 3+
Build system: r
Synopsis: Tau-Leaping Stochastic Simulation
Description:

This package implements adaptive tau leaping to approximate the trajectory of a continuous-time stochastic process as described by Cao et al. (2007) The Journal of Chemical Physics <doi:10.1063/1.2745299> (aka. the Gillespie stochastic simulation algorithm). This package is based upon work supported by NSF DBI-0906041 and NIH K99-GM104158 to Philip Johnson and NIH R01-AI049334 to Rustom Antia.

r-aws-translate 0.1.4
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7 r-aws-signature@0.6.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/cloudyr/aws.translate
Licenses: GPL 2+
Build system: r
Synopsis: Client for 'AWS Translate'
Description:

This package provides a client for AWS Translate <https://aws.amazon.com/documentation/translate>, a machine translation service that will convert a text input in one language into a text output in another language.

r-arabicstemr 1.3
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=arabicStemR
Licenses: GPL 2+
Build system: r
Synopsis: Arabic Stemmer for Text Analysis
Description:

Allows users to stem Arabic texts for text analysis.

r-akmbiclust 0.1.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=akmbiclust
Licenses: GPL 3
Build system: r
Synopsis: Alternating K-Means Biclustering
Description:

This package implements the alternating k-means biclustering algorithm in Fraiman and Li (2020) <arXiv:2009.04550>.

r-aihuman 1.0.1
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-stringr@1.6.0 r-rcppeigen@0.3.4.0.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-purrr@1.2.0 r-metr@0.18.3 r-mass@7.3-65 r-magrittr@2.0.4 r-glmmadaptive@0.9-7 r-ggplot2@4.0.1 r-gbm@2.2.2 r-foreach@1.5.2 r-forcats@1.0.1 r-dplyr@1.1.4 r-doparallel@1.0.17 r-coda@0.19-4.1 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/sooahnshin/aihuman
Licenses: GPL 2+
Build system: r
Synopsis: Experimental Evaluation of Algorithm-Assisted Human Decision-Making
Description:

This package provides statistical methods for analyzing experimental evaluation of the causal impacts of algorithmic recommendations on human decisions developed by Imai, Jiang, Greiner, Halen, and Shin (2023) <doi:10.1093/jrsssa/qnad010> and Ben-Michael, Greiner, Huang, Imai, Jiang, and Shin (2024) <doi:10.48550/arXiv.2403.12108>. The data used for this paper, and made available here, are interim, based on only half of the observations in the study and (for those observations) only half of the study follow-up period. We use them only to illustrate methods, not to draw substantive conclusions.

r-alfq 1.3.6
Propagated dependencies: r-seqinr@4.2-36 r-rocr@1.0-11 r-reshape2@1.4.5 r-randomforest@4.7-1.2 r-plyr@1.8.9 r-lattice@0.22-7 r-data-table@1.17.8 r-caret@7.0-1 r-bio3d@2.4-5
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/aLFQ
Licenses: GPL 3+
Build system: r
Synopsis: Estimating Absolute Protein Quantities from Label-Free LC-MS/MS Proteomics Data
Description:

Determination of absolute protein quantities is necessary for multiple applications, such as mechanistic modeling of biological systems. Quantitative liquid chromatography tandem mass spectrometry (LC-MS/MS) proteomics can measure relative protein abundance on a system-wide scale. To estimate absolute quantitative information using these relative abundance measurements requires additional information such as heavy-labeled references of known concentration. Multiple methods have been using different references and strategies; some are easily available whereas others require more effort on the users end. Hence, we believe the field might benefit from making some of these methods available under an automated framework, which also facilitates validation of the chosen strategy. We have implemented the most commonly used absolute label-free protein abundance estimation methods for LC-MS/MS modes quantifying on either MS1-, MS2-levels or spectral counts together with validation algorithms to enable automated data analysis and error estimation. Specifically, we used Monte-carlo cross-validation and bootstrapping for model selection and imputation of proteome-wide absolute protein quantity estimation. Our open-source software is written in the statistical programming language R and validated and demonstrated on a synthetic sample.

r-automerge 0.2.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/posit-dev/automerge-r
Licenses: Expat
Build system: r
Synopsis: R Bindings for 'Automerge' 'CRDT' Library
Description:

This package provides R bindings to the Automerge Conflict-free Replicated Data Type ('CRDT') library. Automerge enables automatic merging of concurrent changes without conflicts, making it ideal for distributed systems, collaborative applications, and offline-first architectures. The approach of local-first software was proposed in Kleppmann, M., Wiggins, A., van Hardenberg, P., McGranaghan, M. (2019) <doi:10.1145/3359591.3359737>. This package supports all Automerge data types (maps, lists, text, counters) and provides both low-level and high-level synchronization protocols for seamless interoperability with JavaScript and other Automerge implementations.

r-angstroms 0.0.1
Propagated dependencies: r-spbabel@0.6.0 r-sp@2.2-0 r-raster@3.6-32 r-proj4@1.0-15 r-ncdf4@1.24 r-nabor@0.5.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/mdsumner/angstroms
Licenses: GPL 3
Build system: r
Synopsis: Tools for 'ROMS' the Regional Ocean Modeling System
Description:

Helper functions for working with Regional Ocean Modeling System ROMS output. See <https://www.myroms.org/> for more information about ROMS'.

r-ahaz 1.15.1
Propagated dependencies: r-survival@3.8-3 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=ahaz
Licenses: GPL 2
Build system: r
Synopsis: Regularization for Semiparametric Additive Hazards Regression
Description:

Computationally efficient procedures for regularized estimation with the semiparametric additive hazards regression model.

r-armspp 0.0.3
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=armspp
Licenses: Expat
Build system: r
Synopsis: Adaptive Rejection Metropolis Sampling (ARMS) via 'Rcpp'
Description:

An efficient Rcpp implementation of the Adaptive Rejection Metropolis Sampling (ARMS) algorithm proposed by Gilks, W. R., Best, N. G. and Tan, K. K. C. (1995) <doi:10.2307/2986138>. This allows for sampling from a univariate target probability distribution specified by its (potentially unnormalised) log density.

r-autothresholdr 1.4.3
Propagated dependencies: r-stringr@1.6.0 r-strex@2.0.1 r-rlang@1.1.6 r-rcpp@1.1.0 r-purrr@1.2.0 r-magrittr@2.0.4 r-ijtiff@3.2.0 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://rorynolan.github.io/autothresholdr/
Licenses: GPL 3
Build system: r
Synopsis: An R Port of the 'ImageJ' Plugin 'Auto Threshold'
Description:

Algorithms for automatically finding appropriate thresholds for numerical data, with special functions for thresholding images. Provides the ImageJ Auto Threshold plugin functionality to R users. See <https://imagej.net/plugins/auto-threshold> and Landini et al. (2017) <DOI:10.1111/jmi.12474>.

r-admiralmetabolic 0.3.0
Propagated dependencies: r-tidyselect@1.2.1 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-lifecycle@1.0.4 r-dplyr@1.1.4 r-cli@3.6.5 r-admiraldev@1.4.0 r-admiral@1.4.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://pharmaverse.github.io/admiralmetabolic/
Licenses: FSDG-compatible
Build system: r
Synopsis: Metabolism Extension Package for ADaM in 'R' Asset Library
Description:

This package provides a toolbox for programming Clinical Data Standards Interchange Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam>). The package is an extension package of the admiral package focusing on the metabolism therapeutic area.

r-anisna 1.1.1
Propagated dependencies: r-stringr@1.6.0 r-rlang@1.1.6 r-reshape@0.8.10 r-rcpp@1.1.0 r-plotrix@3.8-13 r-magrittr@2.0.4 r-lubridate@1.9.4 r-igraph@2.2.1 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=aniSNA
Licenses: Expat
Build system: r
Synopsis: Statistical Network Analysis of Animal Social Networks
Description:

Obtain network structures from animal GPS telemetry observations and statistically analyse them to assess their adequacy for social network analysis. Methods include pre-network data permutations, bootstrapping techniques to obtain confidence intervals for global and node-level network metrics, and correlation and regression analysis of the local network metrics.

r-allmt 0.1.1
Propagated dependencies: r-tibble@3.3.0 r-survminer@0.5.1 r-survival@3.8-3 r-stringr@1.6.0 r-scales@1.4.0 r-rio@1.2.4 r-reshape2@1.4.5 r-readxl@1.4.5 r-plyr@1.8.9 r-htmltable@2.4.3 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/tmungle/allMT
Licenses: GPL 3+
Build system: r
Synopsis: Acute Lymphoblastic Leukemia Maintenance Therapy Analysis
Description:

Evaluates acute lymphoblastic leukemia maintenance therapy practice at patient and cohort level.

r-ads 1.5-12
Propagated dependencies: r-spatstat-geom@3.6-1 r-ade4@1.7-23
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://forge.ird.fr/amap/ads
Licenses: GPL 2
Build system: r
Synopsis: Spatial Point Patterns Analysis
Description:

Perform first- and second-order multi-scale analyses derived from Ripley K-function (Ripley B. D. (1977) <doi:10.1111/j.2517-6161.1977.tb01615.x>), for univariate, multivariate and marked mapped data in rectangular, circular or irregular shaped sampling windows, with tests of statistical significance based on Monte Carlo simulations.

r-arulescba 1.2.9
Dependencies: openjdk@25
Propagated dependencies: r-matrix@1.7-4 r-glmnet@4.1-10 r-discretization@1.0-1.1 r-arules@1.7-11
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/mhahsler/arulesCBA
Licenses: GPL 3
Build system: r
Synopsis: Classification Based on Association Rules
Description:

This package provides the infrastructure for association rule-based classification including the algorithms CBA, CMAR, CPAR, C4.5, FOIL, PART, PRM, RCAR, and RIPPER to build associative classifiers. Hahsler et al (2019) <doi:10.32614/RJ-2019-048>.

r-adsorpr 0.1.0
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=AdsorpR
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Adsorption Isotherm Models
Description:

Model adsorption behavior using classical isotherms, including Langmuir, Freundlich, Brunauerâ Emmettâ Teller (BET), and Temkin models. The package supports parameter estimation through both linearized and non-linear fitting techniques and generates high-quality plots for model diagnostics. It is intended for environmental scientists, chemists, and researchers working on adsorption phenomena in soils, water treatment, and material sciences. Functions are compatible with base R and ggplot2 for visualization.

r-admmdensestsubmatrix 0.1.0
Propagated dependencies: r-rdpack@2.6.4
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=admmDensestSubmatrix
Licenses: CC0
Build system: r
Synopsis: Alternating Direction Method of Multipliers to Solve Dense Dubmatrix Problem
Description:

Solves the problem of identifying the densest submatrix in a given or sampled binary matrix, Bombina et al. (2019) <arXiv:1904.03272>.

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Total results: 68658