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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-ottrpal 2.0.0
Propagated dependencies: r-yaml@2.3.10 r-xml2@1.5.0 r-webshot2@0.1.2 r-tidyr@1.3.1 r-stringr@1.6.0 r-spelling@2.3.2 r-rvest@1.0.5 r-rprojroot@2.1.1 r-rmarkdown@2.30 r-readr@2.1.6 r-r-utils@2.13.0 r-purrr@1.2.0 r-openssl@2.3.4 r-knitr@1.50 r-jsonlite@2.0.0 r-httr@1.4.7 r-googledrive@2.1.2 r-gitcreds@0.1.2 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/jhudsl/ottrpal
Licenses: GPL 3
Build system: r
Synopsis: Companion Tools for Open-Source Tools for Training Resources (OTTR)
Description:

This package provides tools for converting Open-Source Tools for Training Resources (OTTR) courses into Leanpub or Coursera courses. ottrpal is for use with the OTTR Template repository to create courses.

r-ocd 1.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=ocd
Licenses: GPL 3
Build system: r
Synopsis: High-Dimensional Multiscale Online Changepoint Detection
Description:

This package implements the algorithm in Chen, Wang and Samworth (2020) <arxiv:2003.03668> for online detection of sudden mean changes in a sequence of high-dimensional observations. It also implements methods by Mei (2010) <doi:10.1093/biomet/asq010>, Xie and Siegmund (2013) <doi:10.1214/13-AOS1094> and Chan (2017) <doi:10.1214/17-AOS1546>.

r-ordinalsimr 0.2.3
Propagated dependencies: r-withr@3.0.2 r-tidyr@1.3.1 r-shinywidgets@0.9.0 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-rms@8.1-0 r-rlang@1.1.6 r-rhandsontable@0.3.8 r-golem@0.5.1 r-ggplot2@4.0.1 r-dt@0.34.0 r-dplyr@1.1.4 r-config@0.3.2 r-coin@1.4-3 r-callr@3.7.6 r-bslib@0.9.0 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/NeuroShepherd/ordinalsimr
Licenses: Expat
Build system: r
Synopsis: Compare Ordinal Endpoints Using Simulations
Description:

Simultaneously evaluate multiple ordinal outcome measures. Applied data analysts in particular are faced with uncertainty in choosing appropriate statistical tests for ordinal data. The included shiny application allows users to simulate outcomes given different ordinal data distributions.

r-onsvtables 0.1.0
Propagated dependencies: r-gt@1.3.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/ONSV/onsvtables
Licenses: Expat
Build system: r
Synopsis: National Road Safety Observatory (ONSV) Styles for 'gt' Tables
Description:

Wrapper functions for customizing HTML tables from the gt package to the ONSV style.

r-osdc 0.9.19
Propagated dependencies: r-tidyselect@1.2.1 r-rlang@1.1.6 r-purrr@1.2.0 r-lubridate@1.9.4 r-lifecycle@1.0.4 r-fabricatr@1.0.2 r-duckplyr@1.1.3 r-dplyr@1.1.4 r-dbplyr@2.5.1 r-codecollection@0.1.3 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/steno-aarhus/osdc
Licenses: Expat
Build system: r
Synopsis: Open Source Diabetes Classifier for Danish Registers
Description:

The algorithm first identifies a population of individuals from Danish register data with any type of diabetes as individuals with two or more inclusion events. Then, it splits this population into individuals with either type 1 diabetes or type 2 diabetes by identifying individuals with type 1 diabetes and classifying the remainder of the diabetes population as having type 2 diabetes.

r-orthopanels 1.2-4
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=OrthoPanels
Licenses: GPL 3+
Build system: r
Synopsis: Dynamic Panel Models with Orthogonal Reparameterization of Fixed Effects
Description:

This package implements the orthogonal reparameterization approach recommended by Lancaster (2002) to estimate dynamic panel models with fixed effects (and optionally: panel specific intercepts). The approach uses a likelihood-based estimator and produces estimates that are asymptotically unbiased as N goes to infinity, with a T as low as 2.

r-ohenery 0.1.4
Propagated dependencies: r-rcpp@1.1.0 r-maxlik@1.5-2.1 r-magrittr@2.0.4 r-generics@0.1.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/shabbychef/ohenery
Licenses: LGPL 3
Build system: r
Synopsis: Modeling of Ordinal Random Variables via Softmax Regression
Description:

Supports the modeling of ordinal random variables, like the outcomes of races, via Softmax regression, under the Harville <doi:10.1080/01621459.1973.10482425> and Henery <doi:10.1111/j.2517-6161.1981.tb01153.x> models.

r-oceanic 0.1.8
Propagated dependencies: r-spdata@2.3.4 r-sf@1.0-23 r-maps@3.4.3 r-ggplot2@4.0.1 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=oceanic
Licenses: GPL 2+
Build system: r
Synopsis: Location Identify Tool
Description:

Determine the sea area where the fishing boat operates. The latitude and longitude of geographic coordinates are used to match oceanic areas and economic sea areas. You can plot the distribution map with dotplot() function. Please refer to Flanders Marine Institute (2020) <doi:10.14284/403>.

r-origamiplot 0.2.0
Propagated dependencies: r-plotrix@3.8-13 r-fmsb@0.7.6
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=OrigamiPlot
Licenses: GPL 2+
Build system: r
Synopsis: Visualization Tool Enhancing Radar Plot Visualizations for Multivariate Data
Description:

This package provides a visualization tool for multivariate data. This package maintains the original functionality of a radar chart and avoids potential misuse of its connected regions, with newly added features to better assist multi-criteria decision-making.

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-occcite 0.6.1
Propagated dependencies: r-viridis@0.6.5 r-tidyr@1.3.1 r-stringr@1.6.0 r-rpostgresql@0.7-8 r-rlang@1.1.6 r-rgbif@3.8.4 r-refmanager@1.4.0 r-rcolorbrewer@1.1-3 r-lubridate@1.9.4 r-leaflet@2.2.3 r-htmltools@0.5.8.1 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-dbi@1.2.3 r-curl@7.0.0 r-bien@1.2.7 r-bib2df@1.1.2.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://docs.ropensci.org/occCite/
Licenses: GPL 3
Build system: r
Synopsis: Querying and Managing Large Biodiversity Occurrence Datasets
Description:

Facilitates the gathering of biodiversity occurrence data from disparate sources. Metadata is managed throughout the process to facilitate reporting and enhanced ability to repeat analyses.

r-o2ools 0.0.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/CyGei/o2ools
Licenses: Expat
Build system: r
Synopsis: Tools for 'outbreaker2'
Description:

Streamlines the post-processing, summarization, and visualization of outbreaker2 output via a suite of helper functions. Facilitates tidy manipulation of posterior samples, integration with case metadata, generation of diagnostic plots and summary statistics.

r-osmextract 0.5.3
Propagated dependencies: r-sf@1.0-23 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://docs.ropensci.org/osmextract/
Licenses: GPL 3
Build system: r
Synopsis: Download and Import Open Street Map Data Extracts
Description:

Match, download, convert and import Open Street Map data extracts obtained from several providers.

r-obmbpkg 1.0.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=OBMbpkg
Licenses: GPL 3
Build system: r
Synopsis: Estimate the Population Size for the Mb Capture-Recapture Model
Description:

Applies an objective Bayesian method to the Mb capture-recapture model to estimate the population size N. The Mb model is a class of capture-recapture methods used to account for variations in capture probability due to animal behavior. Under the Mb formulation, the initial capture of an animal may effect the probability of subsequent captures due to their becoming "trap happy" or "trap shy.".

r-ocsdata 1.0.2
Propagated dependencies: r-usethis@3.2.1 r-purrr@1.2.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/opencasestudies/OCSdata
Licenses: Expat
Build system: r
Synopsis: Download Data from the 'Open Case Studies' Repository
Description:

This package provides functions to access and download data from the Open Case Studies <https://www.opencasestudies.org/> repositories on GitHub <https://github.com/opencasestudies>. Different functions enable users to grab the data they need at different sections in the case study, as well as download the whole case study repository. All the user needs to do is input the name of the case study being worked on. The package relies on the httr::GET() function to access files through the GitHub API. The functions usethis::use_zip() and usethis::create_from_github() are used to clone and/or download the case study repositories. To cite an individual case study, please see the respective README file at <https://github.com/opencasestudies/>. <https://github.com/opencasestudies/ocs-bp-rural-and-urban-obesity> <https://github.com/opencasestudies/ocs-bp-air-pollution> <https://github.com/opencasestudies/ocs-bp-vaping-case-study> <https://github.com/opencasestudies/ocs-bp-opioid-rural-urban> <https://github.com/opencasestudies/ocs-bp-RTC-wrangling> <https://github.com/opencasestudies/ocs-bp-RTC-analysis> <https://github.com/opencasestudies/ocs-bp-youth-disconnection> <https://github.com/opencasestudies/ocs-bp-youth-mental-health> <https://github.com/opencasestudies/ocs-bp-school-shootings-dashboard> <https://github.com/opencasestudies/ocs-bp-co2-emissions> <https://github.com/opencasestudies/ocs-bp-diet>.

r-o2geosocial 1.1.3
Propagated dependencies: r-visnetwork@2.1.4 r-rcpp@1.1.0 r-outbreaker2@1.1.4 r-ggplot2@4.0.1 r-geosphere@1.5-20 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/alxsrobert/o2geosocial
Licenses: Expat
Build system: r
Synopsis: Reconstruction of Transmission Chains from Surveillance Data
Description:

Bayesian reconstruction of who infected whom during past outbreaks using routinely-collected surveillance data. Inference of transmission trees using genotype, age specific social contacts, distance between cases and onset dates of the reported cases. (Robert A, Kucharski AJ, Gastanaduy PA, Paul P, Funk S. (2020) <doi:10.1098/rsif.2020.0084>).

r-orcidtr 0.1.0
Propagated dependencies: r-jsonlite@2.0.0 r-httr2@1.2.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/lorenzoFabbri/orcidtr
Licenses: Expat
Build system: r
Synopsis: Retrieve Data from the ORCID Public API
Description:

This package provides functions to retrieve public data from ORCID (Open Researcher and Contributor ID) records via the ORCID public API. Fetches employment history, education, works (publications, datasets, preprints), funding, peer review activities, and other public information. Returns data as structured data.table objects for easy analysis and manipulation. Replaces the discontinued rorcid package with a modern, CRAN-compliant implementation.

r-oceanmap 0.1.7
Dependencies: imagemagick@6.9.13-5
Propagated dependencies: r-sp@2.2-0 r-sf@1.0-23 r-reshape2@1.4.5 r-raster@3.6-32 r-plotrix@3.8-13 r-plotly@4.11.0 r-ncdf4@1.24 r-maps@3.4.3 r-mapdata@2.3.1 r-lubridate@1.9.4 r-ggplot2@4.0.1 r-fields@17.1 r-extrafont@0.20 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=oceanmap
Licenses: GPL 3+
Build system: r
Synopsis: Plotting Toolbox for 2D Oceanographic Data
Description:

Plotting toolbox for 2D oceanographic data (satellite data, sea surface temperature, chlorophyll, ocean fronts & bathymetry). Recognized classes and formats include netcdf, Raster, .nc and .gz files.

r-onbrand 1.0.8
Propagated dependencies: r-yaml@2.3.10 r-stringr@1.6.0 r-rlang@1.1.6 r-officer@0.7.1 r-ggplot2@4.0.1 r-flextable@0.9.10 r-dplyr@1.1.4 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://onbrand.ubiquity.tools
Licenses: FreeBSD
Build system: r
Synopsis: Templated Reporting Workflows in Word and PowerPoint
Description:

Automated reporting in Word and PowerPoint can require customization for each organizational template. This package works around this by adding standard reporting functions and an abstraction layer to facilitate automated reporting workflows that can be replicated across different organizational templates.

r-outstandr 1.0.0
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rstanarm@2.32.2 r-rlang@1.1.6 r-rdpack@2.6.4 r-purrr@1.2.0 r-pillar@1.11.1 r-glue@1.8.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-crayon@1.5.3 r-copula@1.1-6 r-cli@3.6.5 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://StatisticsHealthEconomics.github.io/outstandR/
Licenses: GPL 3+
Build system: r
Synopsis: Model-Based Standardisation for Indirect Treatment Comparison with Limited Subject-Level Data
Description:

For the problem of indirect treatment comparison with limited subject-level data, this package provides tools for model-based standardisation with several different computation approaches. See Remiroâ Azócar A, Heath A, Baio G (2022) "Parametric Gâ computation for compatible indirect treatment comparisons with limited individual patient data", Res. Synth. Methods, 1â 31. ISSN 1759-2879, <doi:10.1002/jrsm.1565>.

r-omickriging 1.4.0
Propagated dependencies: r-rocr@1.0-11 r-irlba@2.3.5.1 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=OmicKriging
Licenses: GPL 3+
Build system: r
Synopsis: Poly-Omic Prediction of Complex TRaits
Description:

It provides functions to generate a correlation matrix from a genetic dataset and to use this matrix to predict the phenotype of an individual by using the phenotypes of the remaining individuals through kriging. Kriging is a geostatistical method for optimal prediction or best unbiased linear prediction. It consists of predicting the value of a variable at an unobserved location as a weighted sum of the variable at observed locations. Intuitively, it works as a reverse linear regression: instead of computing correlation (univariate regression coefficients are simply scaled correlation) between a dependent variable Y and independent variables X, it uses known correlation between X and Y to predict Y.

r-oarray 1.4-9
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=Oarray
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Arrays with Arbitrary Offsets
Description:

Generalise the starting point of the array index.

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-oenokpm 2.4.1
Propagated dependencies: r-openxlsx@4.2.8.1 r-minpack-lm@1.2-4 r-gridextra@2.3 r-ggpubr@0.6.2 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=OenoKPM
Licenses: GPL 3
Build system: r
Synopsis: Modeling the Kinetics of Carbon Dioxide Production in Alcoholic Fermentation
Description:

Developed to help researchers who need to model the kinetics of carbon dioxide (CO2) production in alcoholic fermentation of wines, beers and other fermented products. The following models are available for modeling the carbon dioxide production curve as a function of time: 5PL, Gompertz and 4PL. This package has different functions, which applied can: perform the modeling of the data obtained in the fermentation and return the coefficients, analyze the model fit and return different statistical metrics, and calculate the kinetic parameters: Maximum production of carbon dioxide; Maximum rate of production of carbon dioxide; Moment in which maximum fermentation rate occurs; Duration of the latency phase for carbon dioxide production; Carbon dioxide produced until maximum fermentation rate occurs. In addition, a function that generates graphs with the observed and predicted data from the models, isolated and combined, is available. Gava, A., Borsato, D., & Ficagna, E. (2020)."Effect of mixture of fining agents on the fermentation kinetics of base wine for sparkling wine production: Use of methodology for modeling". <doi:10.1016/j.lwt.2020.109660>.

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