_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

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-onlineforecast 1.0.2
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-r6@2.6.1 r-pbs@1.1 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://onlineforecasting.org
Licenses: GPL 3
Build system: r
Synopsis: Forecast Modelling for Online Applications
Description:

This package provides a framework for fitting adaptive forecasting models. Provides a way to use forecasts as input to models, e.g. weather forecasts for energy related forecasting. The models can be fitted recursively and can easily be setup for updating parameters when new data arrives. See the included vignettes, the website <https://onlineforecasting.org> and the paper "onlineforecast: An R package for adaptive and recursive forecasting" <https://journal.r-project.org/articles/RJ-2023-031/>.

r-openeo 1.4.1
Propagated dependencies: r-sf@1.0-23 r-rlang@1.1.6 r-r6@2.6.1 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-irdisplay@1.1 r-httr2@1.2.1 r-htmltools@0.5.8.1 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://open-eo.github.io/openeo-r-client/
Licenses: FSDG-compatible
Build system: r
Synopsis: Client Interface for 'openEO' Servers
Description:

Access data and processing functionalities of openEO compliant back-ends in R.

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-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-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-ouwie 2.10
Propagated dependencies: r-rcolorbrewer@1.1-3 r-phytools@2.5-2 r-phylolm@2.6.5 r-phangorn@2.12.1 r-paleotree@3.4.7 r-numderiv@2016.8-1.1 r-nloptr@2.2.1 r-lhs@1.2.0 r-interp@1.1-6 r-igraph@2.2.1 r-geiger@2.0.11 r-corpcor@1.6.10 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/thej022214/OUwie
Licenses: GPL 2+
Build system: r
Synopsis: Analysis of Evolutionary Rates in an OU Framework
Description:

Estimates rates for continuous character evolution under Brownian motion and a new set of Ornstein-Uhlenbeck based Hansen models that allow both the strength of the pull and stochastic motion to vary across selective regimes. Beaulieu et al (2012).

r-opusminer 0.1-1
Propagated dependencies: r-rcpp@1.1.0 r-matrix@1.7-4 r-arules@1.7-11
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=opusminer
Licenses: GPL 3
Build system: r
Synopsis: OPUS Miner Algorithm for Filtered Top-k Association Discovery
Description:

This package provides a simple R interface to the OPUS Miner algorithm (implemented in C++) for finding the top-k productive, non-redundant itemsets from transaction data. The OPUS Miner algorithm uses the OPUS search algorithm to efficiently discover the key associations in transaction data, in the form of self-sufficient itemsets, using either leverage or lift. See <http://i.giwebb.com/index.php/research/association-discovery/> for more information in relation to the OPUS Miner algorithm.

r-osrm-backend 0.2.0
Propagated dependencies: r-ps@1.9.1 r-processx@3.8.6 r-jsonlite@2.0.0 r-httr2@1.2.1 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/e-kotov/osrm.backend
Licenses: Expat
Build system: r
Synopsis: Bindings for 'Open Source Routing Machine'
Description:

Install and control Open Source Routing Machine ('OSRM') backend executables to prepare routing data and run/stop a local OSRM server. For computations with the running server use the osrm R package (<https://cran.r-project.org/package=osrm>).

r-orth-ord 1.0.1
Propagated dependencies: r-mass@7.3-65 r-magic@1.6-1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=ORTH.Ord
Licenses: GPL 2+
Build system: r
Synopsis: Alternating Logistic Regression with Orthogonalized Residuals for Correlated Ordinal Outcomes
Description:

This package provides a modified version of alternating logistic regressions (ALR) with estimation based on orthogonalized residuals (ORTH) is implemented, which use paired estimating equations to jointly estimate parameters in marginal mean and within-association models. The within-cluster association between ordinal responses is modeled by global pairwise odds ratios (POR). A finite-sample bias correction is provided to POR parameter estimates based on matrix multiplicative adjusted orthogonalized residuals (MMORTH) for correcting estimating equations, and different bias-corrected variance estimators such as BC1, BC2, and BC3.

r-outseekr 1.1.0
Propagated dependencies: r-truncnorm@1.0-9 r-mclust@6.1.2 r-lsa@0.73.3 r-future-apply@1.20.0 r-future@1.68.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=OutSeekR
Licenses: GPL 2
Build system: r
Synopsis: Statistical Approach to Outlier Detection in RNA-Seq and Related Data
Description:

An approach to outlier detection in RNA-seq and related data based on five statistics. OutSeekR implements an outlier test by comparing the distributions of these statistics in observed data with those of simulated null data.

r-opa 0.8.3
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://timbeechey.github.io/opa/
Licenses: GPL 3+
Build system: r
Synopsis: An Implementation of Ordinal Pattern Analysis
Description:

Quantifies hypothesis to data fit for repeated measures and longitudinal data, as described by Thorngate (1987) <doi:10.1016/S0166-4115(08)60083-7> and Grice et al., (2015) <doi:10.1177/2158244015604192>. Hypothesis and data are encoded as pairwise relative orderings which are then compared to determine the percentage of orderings in the data that are matched by the hypothesis.

r-origami 1.0.7
Propagated dependencies: r-listenv@0.10.0 r-future-apply@1.20.0 r-future@1.68.0 r-data-table@1.17.8 r-assertthat@0.2.1 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://tlverse.org/origami/
Licenses: GPL 3
Build system: r
Synopsis: Generalized Framework for Cross-Validation
Description:

This package provides a general framework for the application of cross-validation schemes to particular functions. By allowing arbitrary lists of results, origami accommodates a range of cross-validation applications. This implementation was first described by Coyle and Hejazi (2018) <doi:10.21105/joss.00512>.

r-omoponspark 0.1.0
Propagated dependencies: r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-omopgenerics@1.3.7 r-glue@1.8.0 r-dplyr@1.1.4 r-dbplyr@2.5.1 r-dbi@1.2.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://OHDSI.github.io/OmopOnSpark/
Licenses: FSDG-compatible
Build system: r
Synopsis: Using a Common Data Model on 'Spark'
Description:

Use health data in the Observational Medical Outcomes Partnership Common Data Model format in Spark'. Functionality includes creating all required tables and fields and creation of a single reference to the data. Native Spark functionality is supported.

r-oreo 1.0
Propagated dependencies: r-spectral@2.0 r-scales@1.4.0 r-pracma@2.4.6 r-openxlsx@4.2.8.1 r-gridextra@2.3 r-ggplot2@4.0.1 r-fftwtools@0.9-11
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=oreo
Licenses: GPL 2
Build system: r
Synopsis: Large Amplitude Oscillatory Shear (LAOS)
Description:

The Sequence of Physical Processes (SPP) framework is a way of interpreting the transient data derived from oscillatory rheological tests. It is designed to allow both the linear and non-linear deformation regimes to be understood within a single unified framework. This code provides a convenient way to determine the SPP framework metrics for a given sample of oscillatory data. It will produce a text file containing the SPP metrics, which the user can then plot using their software of choice. It can also produce a second text file with additional derived data (components of tangent, normal, and binormal vectors), as well as pre-plotted figures if so desired. It is the R version of the Package SPP by Simon Rogers Group for Soft Matter (Simon A. Rogers, Brian M. Erwin, Dimitris Vlassopoulos, Michel Cloitre (2011) <doi:10.1122/1.3544591>).

r-optband 0.2.2
Propagated dependencies: r-lambertw@0.6.9-2
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/seasamgo/optband
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: 'surv' Object Confidence Bands Optimized by Area
Description:

Given a certain coverage level, obtains simultaneous confidence bands for the survival and cumulative hazard functions such that the area between is minimized. Produces an approximate solution based on local time arguments.

r-ocp 0.1.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=ocp
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Online Changepoint Detection
Description:

This package implements the Bayesian online changepoint detection method by Adams and MacKay (2007) <arXiv:0710.3742> for univariate or multivariate data. Gaussian and Poisson probability models are implemented. Provides post-processing functions with alternative ways to extract changepoints.

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-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-ods 0.2.0
Propagated dependencies: r-survival@3.8-3 r-cubature@2.1.4-1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/Yinghao-Pan/ODS
Licenses: GPL 2+
Build system: r
Synopsis: Statistical Methods for Outcome-Dependent Sampling Designs
Description:

Outcome-dependent sampling (ODS) schemes are cost-effective ways to enhance study efficiency. In ODS designs, one observes the exposure/covariates with a probability that depends on the outcome variable. Popular ODS designs include case-control for binary outcome, case-cohort for time-to-event outcome, and continuous outcome ODS design (Zhou et al. 2002) <doi: 10.1111/j.0006-341X.2002.00413.x>. Because ODS data has biased sampling nature, standard statistical analysis such as linear regression will lead to biases estimates of the population parameters. This package implements four statistical methods related to ODS designs: (1) An empirical likelihood method analyzing the primary continuous outcome with respect to exposure variables in continuous ODS design (Zhou et al., 2002). (2) A partial linear model analyzing the primary outcome in continuous ODS design (Zhou, Qin and Longnecker, 2011) <doi: 10.1111/j.1541-0420.2010.01500.x>. (3) Analyze a secondary outcome in continuous ODS design (Pan et al. 2018) <doi: 10.1002/sim.7672>. (4) An estimated likelihood method analyzing a secondary outcome in case-cohort data (Pan et al. 2017) <doi: 10.1111/biom.12838>.

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-openairmaps 0.9.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-sf@1.0-23 r-rosm@0.3.1 r-rlang@1.1.6 r-purrr@1.2.0 r-prettymapr@0.2.5 r-openair@2.19.0 r-mgcv@1.9-4 r-magrittr@2.0.4 r-lubridate@1.9.4 r-lifecycle@1.0.4 r-leaflet@2.2.3 r-ggtext@0.1.2 r-ggspatial@1.1.10 r-ggplot2@4.0.1 r-forcats@1.0.1 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://davidcarslaw.github.io/openairmaps/
Licenses: GPL 3+
Build system: r
Synopsis: Create Maps of Air Pollution Data
Description:

Combine the air quality data analysis methods of openair with the JavaScript Leaflet (<https://leafletjs.com/>) library. Functionality includes plotting site maps, "directional analysis" figures such as polar plots, and air mass trajectories.

r-opencr 2.2.7
Propagated dependencies: r-stringr@1.6.0 r-secr@5.4.2 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-opitools 1.8.0
Propagated dependencies: r-wordcloud2@0.2.1 r-tm@0.7-16 r-tidytext@0.4.3 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-purrr@1.2.0 r-magrittr@2.0.4 r-likert@1.3.5.1 r-ggplot2@4.0.1 r-forcats@1.0.1 r-dplyr@1.1.4 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/MAnalytics/opitools
Licenses: GPL 3
Build system: r
Synopsis: Analyzing the Opinions in a Big Text Document
Description:

Designed for performing impact analysis of opinions in a digital text document (DTD). The package allows a user to assess the extent to which a theme or subject within a document impacts the overall opinion expressed in the document. The package can be applied to a wide range of opinion-based DTD, including commentaries on social media platforms (such as Facebook', Twitter and Youtube'), online products reviews, and so on. The utility of opitools was originally demonstrated in Adepeju and Jimoh (2021) <doi:10.31235/osf.io/c32qh> in the assessment of COVID-19 impacts on neighbourhood policing using Twitter data. Further examples can be found in the vignette of the package.

r-opencv 0.5.2
Dependencies: zlib@1.3.1
Propagated dependencies: r-rcpp@1.1.0 r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=opencv
Licenses: Expat
Build system: r
Synopsis: Bindings to 'OpenCV' Computer Vision Library
Description:

Exposes some of the available OpenCV <https://opencv.org/> algorithms, such as a QR code scanner, and edge, body or face detection. These can either be applied to analyze static images, or to filter live video footage from a camera device.

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