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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.

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r-org 2025.11.24
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://www.rwhite.no/org/
Licenses: Expat
Build system: r
Synopsis: Organising Projects
Description:

This package provides a framework for organizing R projects with a standardized structure. Most analyses consist of three main components: code, results, and data, each with different requirements such as version control, sharing, and encryption. This package provides tools to set up and manage project directories, handle file paths consistently across operating systems, organize results using date-based structures, source code from specified directories, create and manage Quarto documents, and perform file operations safely. It ensures consistency across projects while accommodating different requirements for various types of content.

r-openland 1.0.3
Propagated dependencies: r-tidyr@1.3.1 r-raster@3.6-32 r-networkd3@0.4.1 r-gridextra@2.3 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-circlize@0.4.16
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://reginalexavier.github.io/OpenLand/
Licenses: GPL 3
Build system: r
Synopsis: Quantitative Analysis and Visualization of LUCC
Description:

This package provides tools for the analysis of land use and cover (LUC) time series. It includes support for loading spatiotemporal raster data and synthesized spatial plotting. Several LUC change (LUCC) metrics in regular or irregular time intervals can be extracted and visualized through one- and multistep sankey and chord diagrams. A complete intensity analysis according to Aldwaik and Pontius (2012) <doi:10.1016/j.landurbplan.2012.02.010> is implemented, including tools for the generation of standardized multilevel output graphics.

r-overlapping 2.4
Propagated dependencies: r-testthat@3.3.0 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=overlapping
Licenses: GPL 2
Build system: r
Synopsis: Estimation of Overlapping in Empirical Distributions
Description:

This package provides functions for estimating the overlapping area of two or more kernel density estimations from empirical data.

r-onetime 0.2.0
Propagated dependencies: r-rappdirs@0.3.3 r-filelock@1.0.3
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/hughjonesd/onetime
Licenses: Expat
Build system: r
Synopsis: Run Code Only Once
Description:

Allows code to be run only once on a given computer, using lockfiles. Typical use cases include startup messages shown only when a package is loaded for the very first time.

r-orientlib 0.10.5
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/dmurdoch/orientlib
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Support for Orientation Data
Description:

Representations, conversions and display of orientation SO(3) data. See the orientlib help topic for details.

r-openoise 0.2-18
Propagated dependencies: r-tidyr@1.3.1 r-pracma@2.4.6 r-lubridate@1.9.4 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://arpapiemonte.github.io/openoise-analysis/
Licenses: GPL 3+
Build system: r
Synopsis: Environmental Noise Pollution Data Analysis
Description:

This package provides analyse, interpret and understand noise pollution data. Data are typically regular time series measured with sound meter. The package is partially described in Fogola, Grasso, Masera and Scordino (2023, <DOI:10.61782/fa.2023.0063>).

r-openholidaysr 0.1.0
Propagated dependencies: r-httr2@1.2.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/jfeldhege/openholidaysR
Licenses: Expat
Build system: r
Synopsis: Provides Access to the 'OpenHolidays' API
Description:

This package provides dates for public and school holidays for a number of countries and their subdivisions through the OpenHolidays API at <https://www.openholidaysapi.org/en/>.

r-oxsr 1.0.1
Propagated dependencies: r-rlang@1.1.6 r-munsellinterpol@3.2-0 r-janitor@2.2.1 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-colorspec@1.8-0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/FGu5tav0/OxSR/
Licenses: AGPL 3+
Build system: r
Synopsis: Soil Iron Oxides via Diffuse Reflectance
Description:

Calculate the ratio of iron oxides, hematite and goethite, in soil using the diffuse reflectance technique. The Kubelka-Munk theory, second derivative analysis, and spectral region amplitudes related to hematite and goethite content are used for quantification (Torrent, J., & Barron, V. (2008) <doi:10.2136/sssabookser5.5.c13>). Additionally, the package calculates soil color in the visible spectrum using Munsell and RGB color spaces, based on color theory (Viscarra et al. (2006) <doi:10.1016/j.geoderma.2005.07.017>).

r-optimaltiming 0.1.0
Propagated dependencies: r-survival@3.8-3 r-mstate@0.3.3
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=OptimalTiming
Licenses: GPL 2+
Build system: r
Synopsis: Optimal Timing Identification
Description:

Identify the optimal timing for new treatment initiation during multiple state disease transition, including multistate model fitting, simulation of mean residual lifetime for a given transition state, and estimation of confidence interval. The method is referred to de Wreede, L., Fiocco, M., & Putter, H. (2011) <doi:10.18637/jss.v038.i07>.

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-oobcurve 0.3
Propagated dependencies: r-ranger@0.17.0 r-randomforest@4.7-1.2 r-mlr@2.19.3
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/PhilippPro/OOBCurve
Licenses: GPL 3
Build system: r
Synopsis: Out of Bag Learning Curve
Description:

This package provides functions to calculate the out-of-bag learning curve for random forests for any measure that is available in the mlr package. Supported random forest packages are randomForest and ranger and trained models of these packages with the train function of mlr'. The main function is OOBCurve() that calculates the out-of-bag curve depending on the number of trees. With the OOBCurvePars() function out-of-bag curves can also be calculated for mtry', sample.fraction and min.node.size for the ranger package.

r-osmscale 0.5.23
Propagated dependencies: r-sf@1.0-23 r-pbapply@1.7-4 r-openstreetmap@0.4.1 r-berryfunctions@1.22.13
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/brry/OSMscale
Licenses: GPL 2+
Build system: r
Synopsis: Add a Scale Bar to 'OpenStreetMap' Plots
Description:

Functionality to handle and project lat-long coordinates, easily download background maps and add a correct scale bar to OpenStreetMap plots in any map projection.

r-optimlanduse 1.2.1
Propagated dependencies: r-tidyr@1.3.1 r-lpsolveapi@5.5.2.0-17.14 r-future-apply@1.20.0 r-future@1.68.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/Forest-Economics-Goettingen/optimLanduse/
Licenses: Expat
Build system: r
Synopsis: Robust Land-Use Optimization
Description:

Robust multi-criteria land-allocation optimization that explicitly accounts for the uncertainty of the indicators in the objective function. Solves the problem of allocating scarce land to various land-use options with regard to multiple, coequal indicators. The method aims to find the land allocation that represents the indicator composition with the best possible trade-off under uncertainty. optimLanduse includes the actual optimization procedure as described by Knoke et al. (2016) <doi:10.1038/ncomms11877> and the post-hoc calculation of the portfolio performance as presented by Gosling et al. (2020) <doi:10.1016/j.jenvman.2020.110248>.

r-orbweaver 0.18.2
Propagated dependencies: r-rlang@1.1.6 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/ixpantia/orbweaver-r
Licenses: Expat
Build system: r
Synopsis: Fast and Efficient Graph Data Structures
Description:

Seamlessly build and manipulate graph structures, leveraging its high-performance methods for filtering, joining, and mutating data. Ensures that mutations and changes to the graph are performed in place, streamlining your workflow for optimal productivity.

r-oceanexplorer 0.1.0
Propagated dependencies: r-waiter@0.2.5-1.927501b r-thematic@0.1.8 r-stars@0.6-8 r-shinyjs@2.1.0 r-shinyfeedback@0.4.0 r-shiny@1.11.1 r-sf@1.0-23 r-rstudioapi@0.17.1 r-rnetcdf@2.11-1 r-rlang@1.1.6 r-purrr@1.2.0 r-ncmeta@0.4.0 r-miniui@0.1.2 r-maps@3.4.3 r-glue@1.8.0 r-ggplot2@4.0.1 r-fs@1.6.6 r-dt@0.34.0 r-dplyr@1.1.4 r-bslib@0.9.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://martinschobben.github.io/oceanexplorer/
Licenses: Expat
Build system: r
Synopsis: Explore Our Planet's Oceans with NOAA
Description:

This package provides tools for easy exploration of the world ocean atlas of the US agency National Oceanic and Atmospheric Administration (NOAA). It includes functions to extract NetCDF data from the repository and code to visualize several physical and chemical parameters of the ocean. A Shiny app further allows interactive exploration of the data. The methods for data collecting and quality checks are described in several papers, which can be found here: <https://www.ncei.noaa.gov/products/world-ocean-atlas>.

r-onetwosamples 1.2-0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/fbertran/OneTwoSamples
Licenses: GPL 2+
Build system: r
Synopsis: Deal with One and Two (Normal) Samples
Description:

We introduce an R function one_two_sample() which can deal with one and two (normal) samples, Ying-Ying Zhang, Yi Wei (2012) <doi:10.2991/asshm-13.2013.29>. For one normal sample x, the function reports descriptive statistics, plot, interval estimation and test of hypothesis of x. For two normal samples x and y, the function reports descriptive statistics, plot, interval estimation and test of hypothesis of x and y, respectively. It also reports interval estimation and test of hypothesis of mu1-mu2 (the difference of the means of x and y) and sigma1^2 / sigma2^2 (the ratio of the variances of x and y), tests whether x and y are from the same population, finds the correlation coefficient of x and y if x and y have the same length.

r-otp 0.1.1
Propagated dependencies: r-r6@2.6.1 r-openssl@2.3.4 r-base64url@1.4
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/randy3k/otp
Licenses: Expat
Build system: r
Synopsis: One Time Password Generation and Verification
Description:

Generating and validating One-time Password based on Hash-based Message Authentication Code (HOTP) and Time Based One-time Password (TOTP) according to RFC 4226 <https://datatracker.ietf.org/doc/html/rfc4226> and RFC 6238 <https://datatracker.ietf.org/doc/html/rfc6238>.

r-osfr 0.2.9
Propagated dependencies: r-tibble@3.3.0 r-stringi@1.8.7 r-rlang@1.1.6 r-purrr@1.2.0 r-memoise@2.0.1 r-jsonlite@2.0.0 r-httr@1.4.7 r-fs@1.6.6 r-crul@1.6.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://docs.ropensci.org/osfr/
Licenses: Expat
Build system: r
Synopsis: Interface to the 'Open Science Framework' ('OSF')
Description:

An interface for interacting with OSF (<https://osf.io>). osfr enables you to access open research materials and data, or create and manage your own private or public projects.

r-outlying 0.0.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=outlying
Licenses: Expat
Build system: r
Synopsis: Outliers Detection
Description:

This package provides functions for detecting outliers in datasets using statistical methods. The package supports identification of anomalous observations in numerical data and is intended for use in data cleaning, exploratory data analysis, and preprocessing workflows.

r-opgmmassessment 0.4
Propagated dependencies: r-rlang@1.1.6 r-nbclust@3.0.1 r-multimode@1.5 r-mixtools@2.0.0.1 r-mixak@5.8 r-mclust@6.1.2 r-ggplot2@4.0.1 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17 r-distributionoptimization@1.2.6 r-datavisualizations@1.4.0 r-clusterr@1.3.5 r-cluster@2.1.8.1 r-catools@1.18.3 r-adaptgauss@1.6
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=opGMMassessment
Licenses: GPL 3
Build system: r
Synopsis: Optimized Automated Gaussian Mixture Assessment
Description:

Necessary functions for optimized automated evaluation of the number and parameters of Gaussian mixtures in one-dimensional data. Various methods are available for parameter estimation and for determining the number of modes in the mixture. A detailed description of the methods ca ben found in Lotsch, J., Malkusch, S. and A. Ultsch. (2022) <doi:10.1016/j.imu.2022.101113>.

r-oldr 0.2.4
Propagated dependencies: r-withr@3.0.2 r-tinytex@0.58 r-tibble@3.3.0 r-rmarkdown@2.30 r-cli@3.6.5 r-car@3.1-3 r-bbw@0.3.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://rapidsurveys.io/oldr/
Licenses: GPL 3
Build system: r
Synopsis: An Implementation of Rapid Assessment Method for Older People
Description:

An implementation of the Rapid Assessment Method for Older People or RAM-OP <https://www.helpage.org/resource/rapid-assessment-method-for-older-people-ramop-manual/>. It provides various functions that allow the user to design and plan the assessment and analyse the collected data. RAM-OP provides accurate and reliable estimates of the needs of older people.

r-oii 1.0.2.1
Propagated dependencies: r-rapportools@1.2 r-gmodels@2.19.1 r-deducer@0.9-1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=oii
Licenses: Expat
Build system: r
Synopsis: Crosstab and Statistical Tests for OII MSc Stats Course
Description:

This package provides simple crosstab output with optional statistics (e.g., Goodman-Kruskal Gamma, Somers d, and Kendall's tau-b) as well as two-way and one-way tables. The package is used within the statistics component of the Masters of Science (MSc) in Social Science of the Internet at the Oxford Internet Institute (OII), University of Oxford, but the functions should be useful for general data analysis and especially for analysis of categorical and ordinal data.

r-officedown 0.4.1
Propagated dependencies: r-yaml@2.3.10 r-xml2@1.5.0 r-uuid@1.2-1 r-rvg@0.4.1 r-rmarkdown@2.30 r-rlang@1.1.6 r-officer@0.7.1 r-memoise@2.0.1 r-knitr@1.50
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://ardata-fr.github.io/officeverse/
Licenses: Expat
Build system: r
Synopsis: Enhanced 'R Markdown' Format for 'Word' and 'PowerPoint'
Description:

Allows production of Microsoft corporate documents from R Markdown by reusing formatting defined in Microsoft Word documents. You can reuse table styles, list styles but also add column sections, landscape oriented pages. Table and image captions as well as cross-references are transformed into Microsoft Word fields, allowing documents edition and merging without issue with references; the syntax conforms to the bookdown cross-reference definition. Objects generated by the officer package are also supported in the knitr chunks. Microsoft PowerPoint presentations also benefit from this as well as the ability to produce editable vector graphics in PowerPoint and also to define placeholder where content is to be added.

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.

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