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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-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-opencage 0.2.2
Propagated dependencies: r-withr@3.0.2 r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-ratelimitr@0.4.2 r-purrr@1.2.0 r-progress@1.2.3 r-memoise@2.0.1 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-dplyr@1.1.4 r-crul@1.6.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://docs.ropensci.org/opencage/
Licenses: GPL 2+
Build system: r
Synopsis: Geocode with the OpenCage API
Description:

Geocode with the OpenCage API, either from place name to longitude and latitude (forward geocoding) or from longitude and latitude to the name and address of a location (reverse geocoding), see <https://opencagedata.com/>.

r-optimization 1.0-9
Propagated dependencies: r-rcpp@1.1.0 r-colorspace@2.1-2
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/kaihusmann/optimization
Licenses: GPL 2+
Build system: r
Synopsis: Flexible Optimization of Complex Loss Functions with State and Parameter Space Constraints
Description:

Flexible optimizer with numerous input specifications for detailed parameterisation. Designed for complex loss functions with state and parameter space constraints. Visualization tools for validation and analysis of the convergence are included.

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-optm 0.1.9
Propagated dependencies: r-sizer@0.1-8
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=OptM
Licenses: GPL 2+
Build system: r
Synopsis: Estimating the Optimal Number of Migration Edges from 'Treemix'
Description:

The popular population genetic software Treemix by Pickrell and Pritchard (2012) <DOI:10.1371/journal.pgen.1002967> estimates the number of migration edges on a population tree. However, it can be difficult to determine the number of migration edges to include. Previously, it was customary to stop adding migration edges when 99.8% of variation in the data was explained, but OptM automates this process using an ad hoc statistic based on the second-order rate of change in the log likelihood. OptM also has added functionality for various threshold modeling to compare with the ad hoc statistic.

r-optweight 2.0.0
Propagated dependencies: r-rlang@1.1.6 r-osqp@0.6.3.3 r-matrix@1.7-4 r-ggplot2@4.0.1 r-collapse@2.1.5 r-cli@3.6.5 r-chk@0.10.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://ngreifer.github.io/optweight/
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Optimization-Based Stable Balancing Weights
Description:

Use optimization to estimate weights that balance covariates for binary, multi-category, continuous, and multivariate treatments in the spirit of Zubizarreta (2015) <doi:10.1080/01621459.2015.1023805>. The degree of balance can be specified for each covariate. In addition, sampling weights can be estimated that allow a sample to generalize to a population specified with given target moments of covariates, as in matching-adjusted indirect comparison (MAIC).

r-octopucs 0.1.1
Propagated dependencies: r-vegan@2.7-2 r-stringr@1.6.0 r-progress@1.2.3
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=octopucs
Licenses: GPL 3
Build system: r
Synopsis: Statistical Support for Hierarchical Clusters
Description:

Generates n hierarchical clustering hypotheses on subsets of classifiers (usually species in community ecology studies). The n clustering hypotheses are combined to generate a generalized cluster, and computes three metrics of support. 1) The average proportion of elements conforming the group in each of the n clusters (integrity). And 2) the contamination, i.e., the average proportion of elements from other groups that enter a focal group. 3) The probability of existence of the group gives the integrity and contamination in a Bayesian approach.

r-obl 0.2.1
Propagated dependencies: r-tibble@3.3.0 r-ggplot2@4.0.1 r-forecast@8.24.0 r-foreach@1.5.2 r-forcats@1.0.1 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=OBL
Licenses: GPL 2+
Build system: r
Synopsis: Optimum Block Length
Description:

Obtain optimum block from Non-overlapping Block Bootstrap method.

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-ontologysimilarity 2.9
Propagated dependencies: r-rcpp@1.1.0 r-ontologyindex@2.12
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=ontologySimilarity
Licenses: GPL 2+
Build system: r
Synopsis: Calculating Ontological Similarities
Description:

Calculate similarity between ontological terms and sets of ontological terms based on term information content and assess statistical significance of similarity in the context of a collection of terms sets - Greene et al. 2017 <doi:10.1093/bioinformatics/btw763>.

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-overdisp 0.1.2
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=overdisp
Licenses: GPL 2+
Build system: r
Synopsis: Overdispersion in Count Data Multiple Regression Analysis
Description:

Detection of overdispersion in count data for multiple regression analysis. Log-linear count data regression is one of the most popular techniques for predictive modeling where there is a non-negative discrete quantitative dependent variable. In order to ensure the inferences from the use of count data models are appropriate, researchers may choose between the estimation of a Poisson model and a negative binomial model, and the correct decision for prediction from a count data estimation is directly linked to the existence of overdispersion of the dependent variable, conditional to the explanatory variables. Based on the studies of Cameron and Trivedi (1990) <doi:10.1016/0304-4076(90)90014-K> and Cameron and Trivedi (2013, ISBN:978-1107667273), the overdisp() command is a contribution to researchers, providing a fast and secure solution for the detection of overdispersion in count data. Another advantage is that the installation of other packages is unnecessary, since the command runs in the basic R language.

r-otsufire 0.1.4
Propagated dependencies: r-tidyr@1.3.1 r-terra@1.8-86 r-stringr@1.6.0 r-sf@1.0-23 r-rlang@1.1.6 r-raster@3.6-32 r-purrr@1.2.0 r-otsuseg@0.1.0 r-magrittr@2.0.4 r-glue@1.8.0 r-gdalutilities@1.2.5 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/olgaviedma/OtsuFire
Licenses: GPL 3
Build system: r
Synopsis: Fire Scars, Severity and Regeneration Mapping Using 'Otsu' Thresholding
Description:

This package provides tools to segment fire scars and assess severity and vegetation regeneration using Otsu thresholding on Relative Burn Ratio (RBR) and differenced Normalized Burn Ratio (dNBR) image composites. Includes support for mosaic handling, polygon metrics, post-fire regeneration detection, day-of-year flagging, and validation against reference datasets. Designed for analysis of fire history in the Iberian Peninsula. Input Landsat composites follow the methodology described in Quintero et al. (2025) <doi:10.2139/ssrn.4929831>.

r-opentripplanner 0.5.2
Propagated dependencies: r-sfheaders@0.4.5 r-sf@1.0-23 r-rjson@0.2.23 r-rcppsimdjson@0.1.15 r-purrr@1.2.0 r-progressr@0.18.0 r-googlepolylines@0.8.7 r-geodist@0.1.1 r-data-table@1.17.8 r-curl@7.0.0 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/ropensci/opentripplanner
Licenses: GPL 3
Build system: r
Synopsis: Setup and connect to 'OpenTripPlanner'
Description:

Setup and connect to OpenTripPlanner (OTP) <http://www.opentripplanner.org/>. OTP is an open source platform for multi-modal and multi-agency journey planning written in Java'. The package allows you to manage a local version or connect to remote OTP server to find walking, cycling, driving, or transit routes. This package has been peer-reviewed by rOpenSci (v. 0.2.0.0).

r-ossanma 0.1.2
Propagated dependencies: r-nlcoptim@0.6 r-deoptimr@1.1-4
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/fangshuye/OssaNMA
Licenses: GPL 3
Build system: r
Synopsis: Optimal Sample Size and Allocation with a Network Meta-Analysis
Description:

This package provides a system for calculating the minimum total sample size needed to achieve a prespecified power or the optimal allocation for each treatment group with a fixed total sample size to maximize the power.

r-oz 1.0-22
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=oz
Licenses: GPL 2
Build system: r
Synopsis: Plot the Australian Coastline and States
Description:

This package provides functions for plotting Australia's coastline and state boundaries.

r-ollamar 1.2.2
Propagated dependencies: r-tibble@3.3.0 r-jsonlite@2.0.0 r-httr2@1.2.1 r-glue@1.8.0 r-crayon@1.5.3 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://hauselin.github.io/ollama-r/
Licenses: Expat
Build system: r
Synopsis: 'Ollama' Language Models
Description:

An interface to easily run local language models with Ollama <https://ollama.com> server and API endpoints (see <https://github.com/ollama/ollama/blob/main/docs/api.md> for details). It lets you run open-source large language models locally on your machine.

r-oknne 1.0.1
Propagated dependencies: r-fnn@1.1.4.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=OkNNE
Licenses: GPL 3+
Build system: r
Synopsis: k-Nearest Neighbours Ensemble via Optimal Model Selection for Regression
Description:

Optimal k Nearest Neighbours Ensemble is an ensemble of base k nearest neighbour models each constructed on a bootstrap sample with a random subset of features. k closest observations are identified for a test point "x" (say), in each base k nearest neighbour model to fit a stepwise regression to predict the output value of "x". The final predicted value of "x" is the mean of estimates given by all the models. The implemented model takes training and test datasets and trains the model on training data to predict the test data. Ali, A., Hamraz, M., Kumam, P., Khan, D.M., Khalil, U., Sulaiman, M. and Khan, Z. (2020) <DOI:10.1109/ACCESS.2020.3010099>.

r-obfuscator 0.2.2
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-rfast@2.1.5.2 r-readr@2.1.6 r-matrixstats@1.5.0 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://obfuscator.edsandorf.me
Licenses: GPL 3
Build system: r
Synopsis: Obfuscation Game Designs
Description:

When people make decisions, they may do so using a wide variety of decision rules. The package allows users to easily create obfuscation games to test the obfuscation hypothesis. It provides an easy to use interface and multiple options designed to vary the difficulty of the game and tailor it to the user's needs. For more detail: Chorus et al., 2021, Obfuscation maximization-based decision-making: Theory, methodology and first empirical evidence, Mathematical Social Sciences, 109, 28-44, <doi:10.1016/j.mathsocsci.2020.10.002>.

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-ocnet 1.2.3
Propagated dependencies: r-terra@1.8-86 r-spdep@1.4-1 r-spam@2.11-1 r-rgl@1.3.31 r-rcpp@1.1.0 r-igraph@2.2.1 r-fields@17.1 r-adespatial@0.3-28
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://lucarraro.github.io/OCNet/
Licenses: GPL 3
Build system: r
Synopsis: Optimal Channel Networks
Description:

Generate and analyze Optimal Channel Networks (OCNs): oriented spanning trees reproducing all scaling features characteristic of real, natural river networks. As such, they can be used in a variety of numerical experiments in the fields of hydrology, ecology and epidemiology. See Carraro et al. (2020) <doi:10.1002/ece3.6479> for a presentation of the package; Rinaldo et al. (2014) <doi:10.1073/pnas.1322700111> for a theoretical overview on the OCN concept; Furrer and Sain (2010) <doi:10.18637/jss.v036.i10> for the construct used.

r-openrange 0.0.1
Propagated dependencies: r-sf@1.0-23 r-rpostgresql@0.7-8 r-jsonlite@2.0.0 r-httr@1.4.7 r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=OpenRange
Licenses: Expat
Build system: r
Synopsis: Code to Access Open Access Species Range Maps
Description:

Allows access to a proof-of-concept database containing Open Access species range models and relevant metadata. Access to the database is via both PostgreSQL connection and API <https://github.com/EnquistLab/Biendata-Frontend>, allowing diverse use-cases.

r-opencr 2.2.7
Propagated dependencies: r-stringr@1.6.0 r-secr@5.4.1 r-rcppparallel@5.1.11-1 r-rcpp@1.1.0 r-plyr@1.8.9 r-nlme@3.1-168 r-mass@7.3-65 r-bh@1.87.0-1 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://www.otago.ac.nz/density/
Licenses: GPL 2+
Build system: r
Synopsis: Open Population Capture-Recapture
Description:

Non-spatial and spatial open-population capture-recapture analysis.

r-okcolors 0.1.0
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/nelsonquesado/okcolors
Licenses: GPL 3
Build system: r
Synopsis: Set of Color Palettes Inspired by OK Go Music Videos for 'ggplot2' in R
Description:

This package provides a collection of aesthetically appealing color palettes for effective data visualization with ggplot2'. Palettes support both discrete and continuous data.

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