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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-oglcnac 0.1.5
Propagated dependencies: r-shiny@1.11.1 r-readxl@1.4.5 r-jsonlite@2.0.0 r-httr@1.4.7 r-glue@1.8.0 r-dt@0.34.0 r-cli@3.6.5 r-bslib@0.9.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=oglcnac
Licenses: GPL 3
Build system: r
Synopsis: Processing and Analysis of 'O-GlcNAcAtlas' Data
Description:

This package provides tools for processing and analyzing data from the O-GlcNAcAtlas database <https://oglcnac.org/>, as described in Ma (2021) <doi:10.1093/glycob/cwab003>. It integrates UniProt <https://www.uniprot.org/> API calls to retrieve additional information. It is specifically designed for research workflows involving O-GlcNAcAtlas data, providing a flexible and user-friendly interface for customizing and downloading processed results. Interactive elements allow users to easily adjust parameters and handle various biological datasets.

r-opdisdownsampling 1.0.1
Propagated dependencies: r-twosamples@2.0.1 r-pracma@2.4.6 r-pbmcapply@1.5.1 r-foreach@1.5.2 r-doparallel@1.0.17 r-catools@1.18.3
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=opdisDownsampling
Licenses: GPL 3
Build system: r
Synopsis: Optimal Distribution Preserving Down-Sampling of Bio-Medical Data
Description:

An optimized method for distribution-preserving class-proportional down-sampling of bio-medical data.

r-optband 0.2.2
Propagated dependencies: r-lambertw@0.6.9-2
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/seasamgo/optband
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: 'surv' Object Confidence Bands Optimized by Area
Description:

Given a certain coverage level, obtains simultaneous confidence bands for the survival and cumulative hazard functions such that the area between is minimized. Produces an approximate solution based on local time arguments.

r-onlinebcp 0.1.8
Propagated dependencies: r-vim@6.2.6
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=onlineBcp
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Online Bayesian Methods for Change Point Analysis
Description:

It implements the online Bayesian methods for change point analysis. It can also perform missing data imputation with methods from VIM'. The reference is Yigiter A, Chen J, An L, Danacioglu N (2015) <doi:10.1080/02664763.2014.1001330>. The link to the package is <https://CRAN.R-project.org/package=onlineBcp>.

r-onls 0.1-4
Propagated dependencies: r-minpack-lm@1.2-4
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=onls
Licenses: GPL 2+
Build system: r
Synopsis: Orthogonal Nonlinear Least-Squares Regression
Description:

Fits two-dimensional data by means of orthogonal nonlinear least-squares using Levenberg-Marquardt minimization and provides functionality for fit diagnostics and plotting. Delivers the same results as the ODRPACK Fortran implementation described in Boggs et al. (1989) <doi:10.1145/76909.76913>, but is implemented in pure R.

r-odk 1.5
Propagated dependencies: r-openxlsx@4.2.8.1 r-gsheet@0.4.6
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=odk
Licenses: GPL 3
Build system: r
Synopsis: Convert 'ODK' or 'XLSForm' to 'SPSS' Data Frame
Description:

After develop a ODK <https://opendatakit.org/> frame, we can link the frame to Google Sheets <https://www.google.com/sheets/about/> and collect data through Android <https://www.android.com/>. This data uploaded to a Google sheets'. odk2spss() function help to convert the odk frame into SPSS <https://www.ibm.com/analytics/us/en/technology/spss/> frame. Also able to add downloaded Google sheets data or read data from Google sheets by using ODK frame submission_url'.

r-osdr 1.1.4
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=OSDR
Licenses: GPL 3
Build system: r
Synopsis: Finds an Optimal System of Distinct Representatives
Description:

This package provides routines for finding an Optimal System of Distinct Representatives (OSDR), as defined by D.Gale (1968) <doi:10.1016/S0021-9800(68)80039-0>.

r-ostats 0.2.0
Propagated dependencies: r-viridis@0.6.5 r-sfsmisc@1.1-23 r-matrixstats@1.5.0 r-mass@7.3-65 r-hypervolume@3.1.6 r-gridextra@2.3 r-ggplot2@4.0.1 r-circular@0.5-2
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://neon-biodiversity.github.io/Ostats/
Licenses: Expat
Build system: r
Synopsis: O-Stats, or Pairwise Community-Level Niche Overlap Statistics
Description:

O-statistics, or overlap statistics, measure the degree of community-level trait overlap. They are estimated by fitting nonparametric kernel density functions to each speciesâ trait distribution and calculating their areas of overlap. For instance, the median pairwise overlap for a community is calculated by first determining the overlap of each species pair in trait space, and then taking the median overlap of each species pair in a community. This median overlap value is called the O-statistic (O for overlap). The Ostats() function calculates separate univariate overlap statistics for each trait, while the Ostats_multivariate() function calculates a single multivariate overlap statistic for all traits. O-statistics can be evaluated against null models to obtain standardized effect sizes. Ostats is part of the collaborative Macrosystems Biodiversity Project "Local- to continental-scale drivers of biodiversity across the National Ecological Observatory Network (NEON)." For more information on this project, see the Macrosystems Biodiversity Website (<https://neon-biodiversity.github.io/>). Calculation of O-statistics is described in Read et al. (2018) <doi:10.1111/ecog.03641>, and a teaching module for introducing the underlying biological concepts at an undergraduate level is described in Grady et al. (2018) <http://tiee.esa.org/vol/v14/issues/figure_sets/grady/abstract.html>.

r-orclus 0.2-6
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=orclus
Licenses: GPL 2+
Build system: r
Synopsis: Subspace Clustering Based on Arbitrarily Oriented Projected Cluster Generation
Description:

This package provides functions to perform subspace clustering and classification.

r-onsr 1.0.2
Propagated dependencies: r-tibble@3.3.0 r-readr@2.1.6 r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://kvasilopoulos.github.io/onsr/
Licenses: GPL 3+
Build system: r
Synopsis: Client for the 'ONS' API
Description:

Client for the Office of National Statistics ('ONS') API <https://api.beta.ons.gov.uk/v1>.

r-optcirclust 0.0.4
Propagated dependencies: r-reshape2@1.4.5 r-rdpack@2.6.4 r-rcpp@1.1.0 r-plotrix@3.8-13 r-ckmeans-1d-dp@4.3.5
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=OptCirClust
Licenses: LGPL 3+
Build system: r
Synopsis: Circular, Periodic, or Framed Data Clustering: Fast, Optimal, and Reproducible
Description:

Fast, optimal, and reproducible clustering algorithms for circular, periodic, or framed data. The algorithms introduced here are based on a core algorithm for optimal framed clustering the authors have developed (Debnath & Song 2021) <doi:10.1109/TCBB.2021.3077573>. The runtime of these algorithms is O(K N log^2 N), where K is the number of clusters and N is the number of circular data points. On a desktop computer using a single processor core, millions of data points can be grouped into a few clusters within seconds. One can apply the algorithms to characterize events along circular DNA molecules, circular RNA molecules, and circular genomes of bacteria, chloroplast, and mitochondria. One can also cluster climate data along any given longitude or latitude. Periodic data clustering can be formulated as circular clustering. The algorithms offer a general high-performance solution to circular, periodic, or framed data clustering.

r-openspecy 1.5.3
Propagated dependencies: r-yaml@2.3.10 r-signal@1.8-1 r-shiny@1.11.1 r-plotly@4.11.0 r-mmand@1.6.3 r-jsonlite@2.0.0 r-jpeg@0.1-11 r-hyperspec@0.100.3 r-glmnet@4.1-10 r-digest@0.6.39 r-data-table@1.17.8 r-catools@1.18.3
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/wincowgerDEV/OpenSpecy-package/
Licenses: FSDG-compatible
Build system: r
Synopsis: Analyze, Process, Identify, and Share Raman and (FT)IR Spectra
Description:

Raman and (FT)IR spectral analysis tool for plastic particles and other environmental samples (Cowger et al. 2021, <doi:10.1021/acs.analchem.1c00123>). With read_any(), Open Specy provides a single function for reading individual, batch, or map spectral data files like .asp, .csv, .jdx, .spc, .spa, .0, and .zip. process_spec() simplifies processing spectra, including smoothing, baseline correction, range restriction and flattening, intensity conversions, wavenumber alignment, and min-max normalization. Spectra can be identified in batch using an onboard reference library (Cowger et al. 2020, <doi:10.1177/0003702820929064>) using match_spec(). A Shiny app is available via run_app() or online at <https://www.openanalysis.org/openspecy/>.

r-opennlp 0.2-7
Dependencies: openjdk@25
Propagated dependencies: r-rjava@1.0-11 r-opennlpdata@1.5.3-5 r-nlp@0.3-2
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=openNLP
Licenses: GPL 3
Build system: r
Synopsis: Apache OpenNLP Tools Interface
Description:

An interface to the Apache OpenNLP tools (version 1.5.3). The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text written in Java. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. See <https://opennlp.apache.org/> for more information.

r-optimus 0.2.0
Propagated dependencies: r-ordinal@2023.12-4.1 r-mvabund@4.2.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/mitchest/optimus/
Licenses: GPL 3
Build system: r
Synopsis: Model Based Diagnostics for Multivariate Cluster Analysis
Description:

Assessment and diagnostics for comparing competing clustering solutions, using predictive models. The main intended use is for comparing clustering/classification solutions of ecological data (e.g. presence/absence, counts, ordinal scores) to 1) find an optimal partitioning solution, 2) identify characteristic species and 3) refine a classification by merging clusters that increase predictive performance. However, in a more general sense, this package can do the above for any set of clustering solutions for i observations of j variables.

r-optgs 1.2
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=OptGS
Licenses: GPL 2
Build system: r
Synopsis: Near-Optimal Group-Sequential Designs for Continuous Outcomes
Description:

Optimal group-sequential designs minimise some function of the expected and maximum sample size whilst controlling the type I error rate and power at a specified level. OptGS provides functions to quickly search for near-optimal group-sequential designs for normally distributed outcomes. The methods used are described in Wason, JMS (2015) <doi:10.18637/jss.v066.i02>.

r-optrefine 1.1.1
Propagated dependencies: r-sampling@2.11 r-rglpk@0.6-5.1 r-mass@7.3-65 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/kkbrum/optrefine
Licenses: GPL 3+
Build system: r
Synopsis: Optimally Refine Strata
Description:

Splits initial strata into refined strata that optimize covariate balance. For more information, please see Brumberg, Small, and Rosenbaum (2024) <doi:10.1093/biomtc/ujae061>. To solve the linear program, the Gurobi commercial optimization software is recommended, but not required. The gurobi R package can be installed following the instructions at <https://docs.gurobi.com/projects/optimizer/en/current/reference/r/setup.html> after claiming your free academic license at <https://www.gurobi.com/academia/academic-program-and-licenses/>.

r-oncosubtype 1.0.0
Propagated dependencies: r-tibble@3.3.0 r-summarizedexperiment@1.40.0 r-rlang@1.1.6 r-rdpack@2.6.4 r-randomforest@4.7-1.2 r-pheatmap@1.0.13 r-limma@3.66.0 r-e1071@1.7-16 r-dplyr@1.1.4 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/DadongZ/OncoSubtype
Licenses: GPL 3
Build system: r
Synopsis: Predict Cancer Subtypes Based on TCGA Data using Machine Learning Method
Description:

Provide functionality for cancer subtyping using nearest centroids or machine learning methods based on TCGA data.

r-outlierslearn 1.0.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=OutliersLearn
Licenses: Expat
Build system: r
Synopsis: Educational Outlier Package with Common Outlier Detection Algorithms
Description:

This package provides implementations of some of the most important outlier detection algorithms. Includes a tutorial mode option that shows a description of each algorithm and provides a step-by-step execution explanation of how it identifies outliers from the given data with the specified input parameters. References include the works of Azzedine Boukerche, Lining Zheng, and Omar Alfandi (2020) <doi:10.1145/3381028>, Abir Smiti (2020) <doi:10.1016/j.cosrev.2020.100306>, and Xiaogang Su, Chih-Ling Tsai (2011) <doi:10.1002/widm.19>.

r-orca 1.1-3
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=orca
Licenses: LGPL 3
Build system: r
Synopsis: Computation of Graphlet Orbit Counts in Sparse Graphs
Description:

This package implements orbit counting using a fast combinatorial approach. Counts orbits of nodes and edges from edge matrix or data frame, or a graph object from the graph package.

r-ontophylo 1.1.3
Propagated dependencies: r-truncnorm@1.0-9 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringdist@0.9.15 r-rcolorbrewer@1.1-3 r-purrr@1.2.0 r-phytools@2.5-2 r-ontologyindex@2.12 r-magrittr@2.0.4 r-grimport@0.9-7 r-ggplot2@4.0.1 r-fancova@0.6-1 r-dplyr@1.1.4 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/diegosasso/ontophylo
Licenses: Expat
Build system: r
Synopsis: Ontology-Informed Phylogenetic Comparative Analyses
Description:

This package provides new tools for analyzing discrete trait data integrating bio-ontologies and phylogenetics. It expands on the previous work of Tarasov et al. (2019) <doi:10.1093/isd/ixz009>. The PARAMO pipeline allows to reconstruct ancestral phenomes treating groups of morphological traits as a single complex character. The pipeline incorporates knowledge from ontologies during the amalgamation of individual character stochastic maps. Here we expand the current PARAMO functionality by adding new statistical methods for inferring evolutionary phenome dynamics using non-homogeneous Poisson process (NHPP). The new functionalities include: (1) reconstruction of evolutionary rate shifts of phenomes across lineages and time; (2) reconstruction of morphospace dynamics through time; and (3) estimation of rates of phenome evolution at different levels of anatomical hierarchy (e.g., entire body or specific regions only). The package also includes user-friendly tools for visualizing evolutionary rates of different anatomical regions using vector images of the organisms of interest.

r-openbard 0.0.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://codeberg.org/drdcarpenter/OpenBARD
Licenses: GPL 3
Build system: r
Synopsis: Open British Arboricultural Record Dataset
Description:

Data used in compiling the Handbook of UK Urban Tree Allometric Equations and Size Characteristics (Fennel 2024). The data include measurements of height, crown radius and diameter at breast height (DBH) for UK urban trees. For more details see Fennell (2024) Handbook of UK Urban Tree Allometric Equations and Size Characteristics (Version 1.4). <doi:10.13140/RG.2.2.28745.04961>.

r-optmatch 0.10.8
Propagated dependencies: r-tibble@3.3.0 r-rlemon@0.2.1 r-rcpp@1.1.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: http://optmat.ch
Licenses: Expat
Build system: r
Synopsis: Functions for Optimal Matching
Description:

Distance based bipartite matching using minimum cost flow, oriented to matching of treatment and control groups in observational studies ('Hansen and Klopfer 2006 <doi:10.1198/106186006X137047>). Routines are provided to generate distances from generalised linear models (propensity score matching), formulas giving variables on which to limit matched distances, stratified or exact matching directives, or calipers, alone or in combination.

r-openfda 0.1.0
Propagated dependencies: r-vctrs@0.6.5 r-rlang@1.1.6 r-purrr@1.2.0 r-httr2@1.2.1 r-cli@3.6.5 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/simpar1471/openFDA
Licenses: GPL 3+
Build system: r
Synopsis: 'openFDA' API
Description:

The openFDA API facilitates access to Federal Drug Agency (FDA) data on drugs, devices, foodstuffs, tobacco, and more with httr2'. This package makes the API easily accessible, returning objects which the user can convert to JSON data and parse. Kass-Hout TA, Xu Z, Mohebbi M et al. (2016) <doi:10.1093/jamia/ocv153>.

r-ompr 1.0.4
Propagated dependencies: r-rlang@1.1.6 r-matrix@1.7-4 r-listcomp@0.4.1 r-lazyeval@0.2.2 r-fastmap@1.2.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/dirkschumacher/ompr
Licenses: Expat
Build system: r
Synopsis: Model and Solve Mixed Integer Linear Programs
Description:

Model mixed integer linear programs in an algebraic way directly in R. The model is solver-independent and thus offers the possibility to solve a model with different solvers. It currently only supports linear constraints and objective functions. See the ompr website <https://dirkschumacher.github.io/ompr/> for more information, documentation and examples.

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