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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-oddsapir 0.0.3
Dependencies: pandoc@2.19.2 pandoc@2.19.2
Propagated dependencies: r-tidyr@1.3.1 r-rvest@1.0.5 r-rlang@1.1.6 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-janitor@2.2.1 r-httr@1.4.7 r-glue@1.8.0 r-dplyr@1.1.4 r-data-table@1.17.8 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://oddsapiR.sportsdataverse.org/
Licenses: Expat
Build system: r
Synopsis: Access Live Sports Odds from the Odds API
Description:

This package provides a utility to quickly obtain clean and tidy sports odds from The Odds API <https://the-odds-api.com>.

r-onlinecov 1.3
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=onlineCOV
Licenses: GPL 2+
Build system: r
Synopsis: Online Change Point Detection in High-Dimensional Covariance Structure
Description:

Implement a new stopping rule to detect anomaly in the covariance structure of high-dimensional online data. The detection procedure can be applied to Gaussian or non-Gaussian data with a large number of components. Moreover, it allows both spatial and temporal dependence in data. The dependence can be estimated by a data-driven procedure. The level of threshold in the stopping rule can be determined at a pre-selected average run length. More detail can be seen in Li, L. and Li, J. (2020) "Online Change-Point Detection in High-Dimensional Covariance Structure with Application to Dynamic Networks." <arXiv:1911.07762>.

r-olympicrshiny 1.0.2
Propagated dependencies: r-summarytools@1.1.4 r-shinythemes@1.2.0 r-shinybusy@0.3.3 r-shiny@1.11.1 r-golem@0.5.1 r-ggplot2@4.0.1 r-forcats@1.0.1 r-dplyr@1.1.4 r-config@0.3.2
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/Amalan-ConStat/OlympicRshiny
Licenses: Expat
Build system: r
Synopsis: 'Shiny' Application for Olympic Data
Description:

Shiny Application to visualize Olympic Data. From 1896 to 2016. Even Winter Olympics events are included. Data is from Kaggle at <https://www.kaggle.com/heesoo37/120-years-of-olympic-history-athletes-and-results>.

r-odmeans 0.2.1
Propagated dependencies: r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-ggmap@4.0.2 r-geosphere@1.5-20
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=ODMeans
Licenses: GPL 3+
Build system: r
Synopsis: OD-Means: k-Means for Origin-Destination
Description:

OD-means is a hierarchical adaptive k-means algorithm based on origin-destination pairs. In the first layer of the hierarchy, the clusters are separated automatically based on the variation of the within-cluster distance of each cluster until convergence. The second layer of the hierarchy corresponds to the sub clustering process of small clusters based on the distance between the origin and destination of each cluster.

r-orddisp 2.1.2
Propagated dependencies: r-vgam@1.1-13
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=ordDisp
Licenses: GPL 2
Build system: r
Synopsis: Separating Location and Dispersion in Ordinal Regression Models
Description:

Estimate location-shift models or rating-scale models accounting for response styles (RSRS) for the regression analysis of ordinal responses.

r-omicnetr 0.1.1
Propagated dependencies: r-igraph@2.2.1 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=OmicNetR
Licenses: Expat
Build system: r
Synopsis: Network-Based Integration of Multi-Omics Data Using Sparse CCA
Description:

This package provides an end-to-end workflow for integrative analysis of two omics layers using sparse canonical correlation analysis (sCCA), including sample alignment, feature selection, network edge construction, and visualization of gene-metabolite relationships. The underlying methods are based on penalized matrix decomposition and sparse CCA (Witten, Tibshirani and Hastie (2009) <doi:10.1093/biostatistics/kxp008>), with design principles inspired by multivariate integrative frameworks such as mixOmics (Rohart et al. (2017) <doi:10.1371/journal.pcbi.1005752>).

r-osrmr 0.1.36
Propagated dependencies: r-stringr@1.6.0 r-rjson@0.2.23 r-r-utils@2.13.0 r-bitops@1.0-9 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=osrmr
Licenses: GPL 3
Build system: r
Synopsis: Wrapper for the 'OSRM' API
Description:

Wrapper around the Open Source Routing Machine (OSRM) API <http://project-osrm.org/>. osrmr works with API versions 4 and 5 and can handle servers that run locally as well as the OSRM webserver.

r-ohmmed 1.0.2
Propagated dependencies: r-vcd@1.4-13 r-scales@1.4.0 r-mistr@0.0.6 r-gridextra@2.3 r-ggplot2@4.0.1 r-ggmcmc@1.5.1.2 r-cvms@2.0.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/LynetteCaitlin/oHMMed
Licenses: GPL 3
Build system: r
Synopsis: HMMs with Ordered Hidden States and Emission Densities
Description:

Inference using a class of Hidden Markov models (HMMs) called oHMMed'(ordered HMM with emission densities <doi:10.1186/s12859-024-05751-4>): The oHMMed algorithms identify the number of comparably homogeneous regions within observed sequences with autocorrelation patterns. These are modelled as discrete hidden states; the observed data points are then realisations of continuous probability distributions with state-specific means that enable ordering of these distributions. The observed sequence is labelled according to the hidden states, permitting only neighbouring states that are also neighbours within the ordering of their associated distributions. The parameters that characterise these state-specific distributions are then inferred. Relevant for application to genomic sequences, time series, or any other sequence data with serial autocorrelation.

r-otrselect 1.3
Propagated dependencies: r-survival@3.8-3 r-lars@1.3
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=OTRselect
Licenses: GPL 2
Build system: r
Synopsis: Variable Selection for Optimal Treatment Decision
Description:

This package provides a penalized regression framework that can simultaneously estimate the optimal treatment strategy and identify important variables. Appropriate for either censored or uncensored continuous response.

r-orscraper 0.1.0
Propagated dependencies: r-stringr@1.6.0 r-rentrez@1.2.4 r-readxl@1.4.5 r-pdftools@3.6.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/SamuelGonzalez0204/ORscraper
Licenses: Expat
Build system: r
Synopsis: Extract Information from Clinical Reports from 'Oncomine Reporter' and NCBI 'ClinVar'
Description:

Clinical reports generated by Oncomine Reporter software contain critical data in unstructured PDF format, making manual extraction time-consuming and error-prone. ORscraper provides a coherent suite of functions to automate this process, allowing researchers to parse reports, identify key biomarkers, extract genetic variant tables, and filter results. It also integrates with the NCBI ClinVar API <https://www.ncbi.nlm.nih.gov/clinvar/> to enrich extracted data.

r-optionstrat 1.4.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=optionstrat
Licenses: GPL 3
Build system: r
Synopsis: Utilizes the Black-Scholes Option Pricing Model to Perform Strategic Option Analysis and Plot Option Strategies
Description:

Utilizes the Black-Scholes-Merton option pricing model to calculate key option analytics and perform graphical analysis of various option strategies. Provides functions to calculate the option premium and option greeks of European-style options.

r-oclust 1.0.0
Propagated dependencies: r-progress@1.2.3 r-mvtnorm@1.3-3 r-mixture@2.2.0 r-mclust@6.1.2 r-mass@7.3-65 r-entropy@1.3.2 r-dbscan@1.2.3
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=oclust
Licenses: GPL 2+
Build system: r
Synopsis: Gaussian Model-Based Clustering with Outliers
Description:

This package provides a function to detect and trim outliers in Gaussian mixture model-based clustering using methods described in Clark and McNicholas (2024) <doi:10.1007/s00357-024-09473-3>.

r-oner 2.2
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/vonjd/OneR
Licenses: Expat
Build system: r
Synopsis: One Rule Machine Learning Classification Algorithm with Enhancements
Description:

This package implements the One Rule (OneR) Machine Learning classification algorithm (Holte, R.C. (1993) <doi:10.1023/A:1022631118932>) with enhancements for sophisticated handling of numeric data and missing values together with extensive diagnostic functions. It is useful as a baseline for machine learning models and the rules are often helpful heuristics.

r-ordinalgmifs 1.0.9
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=ordinalgmifs
Licenses: GPL 2+
Build system: r
Synopsis: Ordinal Regression for High-Dimensional Data
Description:

This package provides a function for fitting cumulative link, adjacent category, forward and backward continuation ratio, and stereotype ordinal response models when the number of parameters exceeds the sample size, using the the generalized monotone incremental forward stagewise method.

r-opennlpdata 1.5.3-5
Dependencies: openjdk@25
Propagated dependencies: r-rjava@1.0-11
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://opennlp.apache.org/
Licenses: GPL 3
Build system: r
Synopsis: Apache OpenNLP Jars and Basic English Language Models
Description:

Apache OpenNLP jars and basic English language models.

r-orangutan 2.0.0
Propagated dependencies: r-withr@3.0.2 r-vegan@2.7-2 r-tidyr@1.3.1 r-rlang@1.1.6 r-rcolorbrewer@1.1-3 r-multcompview@0.1-10 r-ggplot2@4.0.1 r-dunn-test@1.3.6 r-dplyr@1.1.4 r-adegenet@2.1.11
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=Orangutan
Licenses: Expat
Build system: r
Synopsis: Automated Analysis of Phenotypic Data
Description:

This package provides functions to analyze and visualize meristic and mensural phenotypic data in a comparative framework. The package implements an automated pipeline that summarizes traits, identifies diagnostic variables among groups, performs multivariate and univariate statistical analyses, and produces publication-ready graphics. An earlier implementation (v1.0.0) is described in Torres (2025) <doi:10.64898/2025.12.18.695244>.

r-ozbabynames 0.2.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/robjhyndman/ozbabynames
Licenses: GPL 3
Build system: r
Synopsis: Australian Popular Baby Names
Description:

Data on the most popular baby names by sex and year, and for each state in Australia, as provided by the state and territory governments. The quality and quantity of the data varies with the state.

r-optimcheck 1.0.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/mlysy/optimCheck
Licenses: GPL 3
Build system: r
Synopsis: Graphical and Numerical Checks for Mode-Finding Routines
Description:

This package provides tools for checking that the output of an optimization algorithm is indeed at a local mode of the objective function. This is accomplished graphically by calculating all one-dimensional "projection plots" of the objective function, i.e., varying each input variable one at a time with all other elements of the potential solution being fixed. The numerical values in these plots can be readily extracted for the purpose of automated and systematic unit-testing of optimization routines.

r-onmarg 1.0.3
Propagated dependencies: r-stringr@1.6.0 r-sf@1.0-23 r-readxl@1.4.5 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=onmaRg
Licenses: GPL 3
Build system: r
Synopsis: Import Public Health Ontario's Ontario Marginalization Index
Description:

The Ontario Marginalization Index is a socioeconomic model that is built on Statistics Canada census data. The model consists of four dimensions: In 2021, these dimensions were updated to "Material Resources" (previously called "Material Deprivation"), "Households and Dwellings" (previously called "Residential Instability"), "Age and Labour Force" (previously called "Dependency"), and "Racialized and Newcomer Populations" (previously called "Ethnic Concentration"). This update reflects a movement away from deficit-based language. 2021 data will load with these new dimension names, wheras 2011 and 2016 data will load with the historical dimension names. Each of these dimensions are imported for a variety of geographic levels (DA, CD, etc.) for the 2021, 2011 and 2016 administrations of the census. These data sets contribute to community analysis of equity with respect to Ontario's Anti-Racism Act. The Ontario Marginalization Index data is retrieved from the Public Health Ontario website: <https://www.publichealthontario.ca/en/data-and-analysis/health-equity/ontario-marginalization-index>. The shapefile data is retrieved from the Statistics Canada website: <https://www12.statcan.gc.ca/census-recensement/2011/geo/bound-limit/bound-limit-eng.cfm>.

r-oncmap 0.1.7
Propagated dependencies: r-zoo@1.8-14 r-readxl@1.4.5 r-readr@2.1.6 r-lubridate@1.9.4 r-hms@1.1.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=oncmap
Licenses: Expat
Build system: r
Synopsis: Analyze Data from Electronic Adherence Monitoring Devices
Description:

Medication adherence, defined as medication-taking behavior that aligns with the agreed-upon treatment protocol, is critical for realizing the benefits of prescription medications. Medication adherence can be assessed using electronic adherence monitoring devices (EAMDs), pill bottles or boxes that contain a computer chip that records the date and time of each opening (or â actuationâ ). Before researchers can use EAMD data, they must apply a series of decision rules to transform actuation data into adherence data. The purpose of this R package ('oncmap') is to transform EAMD actuations in the form of a raw .csv file, information about the patient, regimen, and non-monitored periods into two daily adherence values -- Dose Taken and Correct Dose Taken.

r-opendatatoronto 0.1.6
Propagated dependencies: r-xml2@1.5.0 r-tibble@3.3.0 r-sf@1.0-23 r-readxl@1.4.5 r-magrittr@2.0.4 r-curl@7.0.0 r-ckanr@0.7.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://sharlagelfand.github.io/opendatatoronto/
Licenses: Expat
Build system: r
Synopsis: Access the City of Toronto Open Data Portal
Description:

Access data from the "City of Toronto Open Data Portal" (<https://open.toronto.ca>) directly from R.

r-ollggamma 1.0.2
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://mjsaldanha.com/posts/ollggamma
Licenses: Expat
Build system: r
Synopsis: Odd Log-Logistic Generalized Gamma Probability Distribution
Description:

Density, distribution function, quantile function and random generation for the Odd Log-Logistic Generalized Gamma proposed in Prataviera, F. et al (2017) <doi:10.1080/00949655.2016.1238088>.

r-outbreaks 1.9.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/reconhub/outbreaks
Licenses: GPL 2+
Build system: r
Synopsis: Collection of Disease Outbreak Data
Description:

Empirical or simulated disease outbreak data, provided either as RData or as text files.

r-optisolve 1.0
Propagated dependencies: r-stringr@1.6.0 r-shapes@1.2.8 r-rcpp@1.1.0 r-plyr@1.8.9 r-nloptr@2.2.1 r-matrix@1.7-4 r-mass@7.3-65 r-cccp@0.3-3 r-alabama@2023.1.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=optiSolve
Licenses: GPL 2
Build system: r
Synopsis: Linear, Quadratic, and Rational Optimization
Description:

Solver for linear, quadratic, and rational programs with linear, quadratic, and rational constraints. A unified interface to different R packages is provided. Optimization problems are transformed into equivalent formulations and solved by the respective package. For example, quadratic programming problems with linear, quadratic and rational constraints can be solved by augmented Lagrangian minimization using package alabama', or by sequential quadratic programming using solver slsqp'. Alternatively, they can be reformulated as optimization problems with second order cone constraints and solved with package cccp'.

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