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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-onbabynames 0.0.1
Propagated dependencies: r-tibble@3.3.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: <https://github.com/desautm/onbabynames>
Licenses: Expat
Build system: r
Synopsis: Names Given to Babies in Ontario Between 1917 and 2018
Description:

This package provides a database containing the names of the babies born in Ontario between 1917 and 2018. Counts of fewer than 5 names were suppressed for privacy.

r-omicspls 2.1.0
Propagated dependencies: r-withr@3.0.2 r-tibble@3.3.0 r-softimpute@1.4-3 r-magrittr@2.0.4 r-ggplot2@4.0.1 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=OmicsPLS
Licenses: GPL 3
Build system: r
Synopsis: Data Integration with Two-Way Orthogonal Partial Least Squares
Description:

This package performs the O2PLS data integration method for two datasets, yielding joint and data-specific parts for each dataset. The algorithm automatically switches to a memory-efficient approach to fit O2PLS to high dimensional data. It provides a rigorous and a faster alternative cross-validation method to select the number of components, as well as functions to report proportions of explained variation and to construct plots of the results. See the software article by el Bouhaddani et al (2018) <doi:10.1186/s12859-018-2371-3>, and Trygg and Wold (2003) <doi:10.1002/cem.775>. It also performs Sparse Group (Penalized) O2PLS, see Gu et al (2020) <doi:10.1186/s12859-021-03958-3> and cross-validation for the degree of sparsity.

r-ordinalcont 2.0.2
Propagated dependencies: r-deriv@4.2.0 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=ordinalCont
Licenses: GPL 2+
Build system: r
Synopsis: Ordinal Regression Analysis for Continuous Scales
Description:

This package provides a regression framework for response variables which are continuous self-rating scales such as the Visual Analog Scale (VAS) used in pain assessment, or the Linear Analog Self-Assessment (LASA) scales in quality of life studies. These scales measure subjects perception of an intangible quantity, and cannot be handled as ratio variables because of their inherent non-linearity. We treat them as ordinal variables, measured on a continuous scale. A function (the g function) connects the scale with an underlying continuous latent variable. The link function is the inverse of the CDF of the assumed underlying distribution of the latent variable. A variety of link functions are currently implemented. Such models are described in Manuguerra et al (2020) <doi:10.18637/jss.v096.i08>.

r-oews2020 1.0.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=oews2020
Licenses: Expat
Build system: r
Synopsis: May 2020 Occupational Employment and Wage Statistics
Description:

This package contains data from the May 2020 Occupational Employment and Wage Statistics data release from the U.S. Bureau of Labor Statistics. The dataset covers employment and wages across occupations, industries, states, and at the national level. Metropolitan data is not included.

r-optimos-prime 0.1.2
Propagated dependencies: r-tidyverse@2.0.0 r-plotly@4.11.0 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=optimos.prime
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Optimos Prime Helps Calculate Autoecological Data for Biological Species
Description:

Calculates autoecological data (optima and tolerance ranges) of a biological species given an environmental matrix. The package calculates by weighted averaging, using the number of occurrences to adjust the tolerance assigned to each taxon to estimate optima and tolerance range in cases where taxa have unequal occurrences. See the detailed methodology by Birks et al. (1990) <doi:10.1098/rstb.1990.0062>, and a case example by Potapova and Charles (2003) <doi:10.1046/j.1365-2427.2003.01080.x>.

r-oem 2.0.12
Propagated dependencies: r-rspectra@0.16-2 r-rcppeigen@0.3.4.0.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-foreach@1.5.2 r-bigmemory@4.6.4 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://arxiv.org/abs/1801.09661
Licenses: GPL 2+
Build system: r
Synopsis: Orthogonalizing EM: Penalized Regression for Big Tall Data
Description:

Solves penalized least squares problems for big tall data using the orthogonalizing EM algorithm of Xiong et al. (2016) <doi:10.1080/00401706.2015.1054436>. The main fitting function is oem() and the functions cv.oem() and xval.oem() are for cross validation, the latter being an accelerated cross validation function for linear models. The big.oem() function allows for out of memory fitting. A description of the underlying methods and code interface is described in Huling and Chien (2022) <doi:10.18637/jss.v104.i06>.

r-orthgs 0.1.8
Propagated dependencies: r-treetools@2.0.0 r-seqinr@4.2-36 r-phytools@2.5-2 r-phangorn@2.12.1 r-igraph@2.2.1 r-castor@1.8.4 r-bio3d@2.4-5 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=orthGS
Licenses: GPL 2+
Build system: r
Synopsis: Orthology vs Paralogy Relationships among Glutamine Synthetase from Plants
Description:

This package provides tools to analyze and infer orthology and paralogy relationships between glutamine synthetase proteins in seed plants.

r-onnx 0.0.3
Propagated dependencies: r-reticulate@1.44.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/onnx/onnx-r
Licenses: FSDG-compatible
Build system: r
Synopsis: R Interface to 'ONNX'
Description:

R Interface to ONNX - Open Neural Network Exchange <https://onnx.ai/>. ONNX provides an open source format for machine learning models. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types.

r-oceanis 1.8.5
Propagated dependencies: r-zip@2.3.3 r-webshot@0.5.5 r-stringr@1.6.0 r-shinythemes@1.2.0 r-shinyjs@2.1.0 r-shinybs@0.61.1 r-shiny@1.11.1 r-sf@1.0-23 r-lwgeom@0.2-14 r-leaflet-extras@2.0.1 r-leaflet@2.2.3 r-htmlwidgets@1.6.4 r-ggplot2@4.0.1 r-dt@0.34.0 r-dplyr@1.1.4 r-classint@0.4-11
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/insee-psar-at/oceanis-package/
Licenses: GPL 2+ FSDG-compatible
Build system: r
Synopsis: Cartography for Statistical Analysis
Description:

Creating maps for statistical analysis such as proportional circles, choropleth, typology and flows. Some functions use shiny or leaflet technologies for dynamism and interactivity. The great features are : - Create maps in a web environment where the parameters are modifiable on the fly ('shiny and leaflet technologies). - Create interactive maps through zoom and pop-up ('leaflet technology). - Create frozen maps with the possibility to add labels.

r-omu 1.1.2
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-rstatix@0.7.3 r-randomforest@4.7-1.2 r-plyr@1.8.9 r-magrittr@2.0.4 r-httr@1.4.7 r-ggplot2@4.0.1 r-ggfortify@0.4.19 r-fsa@0.10.0 r-dplyr@1.1.4 r-caret@7.0-1 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/connor-reid-tiffany/Omu
Licenses: GPL 2
Build system: r
Synopsis: Metabolomics Analysis Tool for Intuitive Figures and Convenient Metadata Collection
Description:

Facilitates the creation of intuitive figures to describe metabolomics data by utilizing Kyoto Encyclopedia of Genes and Genomes (KEGG) hierarchy data, and gathers functional orthology and gene data from the KEGG-REST API.

r-officedown 0.4.1
Propagated dependencies: r-yaml@2.3.10 r-xml2@1.5.0 r-uuid@1.2-1 r-rvg@0.4.0 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-ordinalforest 2.4-4
Propagated dependencies: r-verification@1.45 r-rcpp@1.1.0 r-nnet@7.3-20 r-combinat@0.0-8
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=ordinalForest
Licenses: GPL 2
Build system: r
Synopsis: Ordinal Forests: Prediction and Variable Ranking with Ordinal Target Variables
Description:

The ordinal forest (OF) method allows ordinal regression with high-dimensional and low-dimensional data. After having constructed an OF prediction rule using a training dataset, it can be used to predict the values of the ordinal target variable for new observations. Moreover, by means of the (permutation-based) variable importance measure of OF, it is also possible to rank the covariates with respect to their importance in the prediction of the values of the ordinal target variable. OF is presented in Hornung (2020). NOTE: Starting with package version 2.4, it is also possible to obtain class probability predictions in addition to the class point predictions. Moreover, the variable importance values can also be based on the class probability predictions. Preliminary results indicate that this might lead to a better discrimination between influential and non-influential covariates. The main functions of the package are: ordfor() (construction of OF) and predict.ordfor() (prediction of the target variable values of new observations). References: Hornung R. (2020) Ordinal Forests. Journal of Classification 37, 4â 17. <doi:10.1007/s00357-018-9302-x>.

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-opendotar 0.1.4
Propagated dependencies: r-lubridate@1.9.4 r-jsonlite@2.0.0 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=opendotaR
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Interface for OpenDota API
Description:

Enables the usage of the OpenDota API from <https://www.opendota.com/>, get game lists, and download JSON's of parsed replays from the OpenDota API. Also has functionality to execute own code to extract the specific parts of the JSON file.

r-overlapptest 1.4
Propagated dependencies: r-spatstat-geom@3.6-1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=overlapptest
Licenses: GPL 2+
Build system: r
Synopsis: Test Overlapping of Polygons Against Random Rotation
Description:

Tests the observed overlapping polygon area in a collection of polygons against a null model of random rotation, as explained in De la Cruz et al. (2017) <doi:10.13140/RG.2.2.12825.72801>.

r-omnibusfisher 1.0
Propagated dependencies: r-survey@4.4-8 r-stringr@1.6.0 r-compquadform@1.4.4
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=OmnibusFisher
Licenses: GPL 2+
Build system: r
Synopsis: Modified Fisher’s Method to Test Overall Gene-Level Effect
Description:

The separate p-values of SNPs, RNA expressions and DNA methylations are calculated by KM regression. The correlation between different omics data are taken into account. This method can be applied to either samples with all three types of omics data or samples with two types.

r-openbanker 0.1.1
Propagated dependencies: r-tidyr@1.3.1 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-httpcode@0.3.0 r-glue@1.8.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/nik01010/openbankeR
Licenses: GPL 3
Build system: r
Synopsis: R Client for Querying the UK 'Open Banking' ('Open Data') API
Description:

This package creates a client with queries for the UK Open Banking ('Open Data') API.

r-oscv 1.0
Propagated dependencies: r-mc2d@0.2.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=OSCV
Licenses: GPL 2
Build system: r
Synopsis: One-Sided Cross-Validation
Description:

This package provides functions for implementing different versions of the OSCV method in the kernel regression and density estimation frameworks. The package mainly supports the following articles: (1) Savchuk, O.Y., Hart, J.D. (2017). Fully robust one-sided cross-validation for regression functions. Computational Statistics, <doi:10.1007/s00180-017-0713-7> and (2) Savchuk, O.Y. (2017). One-sided cross-validation for nonsmooth density functions, <arXiv:1703.05157>.

r-odbc 1.6.4.1
Propagated dependencies: r-rlang@1.1.6 r-rcpp@1.1.0 r-lifecycle@1.0.4 r-hms@1.1.4 r-dbi@1.2.3 r-cli@3.6.5 r-blob@1.2.4 r-bit64@4.6.0-1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://odbc.r-dbi.org
Licenses: Expat
Build system: r
Synopsis: Connect to ODBC Compatible Databases (using the DBI Interface)
Description:

This package provides a DBI-compatible interface to ODBC databases.

r-openrepgrid-ic 0.6.2
Propagated dependencies: r-withr@3.0.2 r-tidyverse@2.0.0 r-tidyr@1.3.1 r-stringr@1.6.0 r-shinywidgets@0.9.0 r-shinythemes@1.2.0 r-shinyjs@2.1.0 r-shinyfeedback@0.4.0 r-shinydashboardplus@2.0.6 r-shinydashboard@0.7.3 r-shinycssloaders@1.1.0 r-shinybs@0.61.1 r-shiny@1.11.1 r-scales@1.4.0 r-rintrojs@0.3.4 r-reshape2@1.4.5 r-rcolorbrewer@1.1-3 r-openxlsx@4.2.8.1 r-magrittr@2.0.4 r-igraph@2.2.1 r-formattable@0.2.1 r-dt@0.34.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/markheckmann/OpenRepGrid.ic
Licenses: Expat
Build system: r
Synopsis: Interpretive Clustering for Repertory Grids
Description:

Shiny UI to identify cliques of related constructs in repertory grid data. See Burr, King, & Heckmann (2020) <doi:10.1080/14780887.2020.1794088> for a description of the interpretive clustering (IC) method.

r-optsize 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://cran.r-project.org/package=optsize
Licenses: GPL 3+
Build system: r
Synopsis: Optimal Plot Size Estimation for Field Experiments
Description:

This package provides methods for determining optimum plot size and shape in field experiments using Fairfield-Smith's variance law approach. It will evaluate field variability, determine optimum plot size and shape and study fertility trends across the field.

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-ordibreadth 1.0
Propagated dependencies: r-vegan@2.7-2
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=ordiBreadth
Licenses: GPL 3+
Build system: r
Synopsis: Ordinated Diet Breadth
Description:

Calculates ordinated diet breadth with some plotting functions.

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/>.

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Total results: 68658