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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-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-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-ontologyplot 1.7
Propagated dependencies: r-rgraphviz@2.54.0 r-paintmap@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=ontologyPlot
Licenses: GPL 2+
Build system: r
Synopsis: Visualising Sets of Ontological Terms
Description:

Create R plots visualising ontological terms and the relationships between them with various graphical options - Greene et al. 2017 <doi:10.1093/bioinformatics/btw763>.

r-optimaregion 1.2
Propagated dependencies: r-stringr@1.6.0 r-spam@2.11-1 r-rsm@2.10.6 r-rdsdp@1.0.6 r-rdpack@2.6.4 r-nloptr@2.2.1 r-magrittr@2.0.4 r-fields@17.1 r-depthproc@2.1.6 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=OptimaRegion
Licenses: GPL 3
Build system: r
Synopsis: Confidence Regions for Optima of Response Surfaces
Description:

Computes confidence regions on the location of response surface optima. Response surface models can be up to cubic polynomial models in up to 5 controllable factors, or Thin Plate Spline models in 2 controllable factors.

r-oskeyring 0.1.6
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/r-lib/oskeyring#readme
Licenses: Expat
Build system: r
Synopsis: Raw System Credential Store Access from R
Description:

Aims to support all features of the system credential store, including non-portable ones. Supports Keychain on macOS', and Credential Manager on Windows'. See the keyring package if you need a portable API'.

r-onesamplelogranktest 0.9.2
Propagated dependencies: r-survminer@0.5.1 r-survival@3.8-3 r-rlang@1.1.6 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=OneSampleLogRankTest
Licenses: GPL 3+
Build system: r
Synopsis: One-Sample Log-Rank Test
Description:

The log-rank test is performed to assess the survival outcomes between two group. When there is no proper control group or obtaining such data is cumbersome, one sample log-rank test can be applied. This package performs one sample log-rank test as described in Finkelstein et al. (2003)<doi:10.1093/jnci/djt227> and variation of the test for small sample sizes which is detailed in FD Liddell (1984)<doi:10.1136/jech.38.1.85> paper. Visualization function in the package generates Kaplan-Meier Curve comparing survival curve of the general population against that of the population of interest.

r-ofgem 1.0
Propagated dependencies: r-mass@7.3-65 r-forestplot@3.1.7 r-compquadform@1.4.4
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/randel/ofGEM
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Meta-Analysis Approach with Filtering for Identifying Gene-Level Gene-Environment Interactions with Genetic Association Data
Description:

Offers a gene-based meta-analysis test with filtering to detect gene-environment interactions (GxE) with association data, proposed by Wang et al. (2018) <doi:10.1002/gepi.22115>. It first conducts a meta-filtering test to filter out unpromising SNPs by combining all samples in the consortia data. It then runs a test of omnibus-filtering-based GxE meta-analysis (ofGEM) that combines the strengths of the fixed- and random-effects meta-analysis with meta-filtering. It can also analyze data from multiple ethnic groups.

r-omophub 1.4.0
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-r6@2.6.1 r-purrr@1.2.0 r-httr2@1.2.1 r-glue@1.8.0 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/omopHub/omophub-R
Licenses: Expat
Build system: r
Synopsis: R Client for the 'OMOPHub' Medical Vocabulary API
Description:

This package provides an R interface to the OMOPHub API for accessing OHDSI ATHENA standardized medical vocabularies. Supports concept search, semantic search using neural embeddings, concept similarity, vocabulary exploration, hierarchy navigation, relationship queries, and concept mappings with automatic pagination and rate limiting.

r-openhimr 0.1.1
Propagated dependencies: r-tidyverse@2.0.0 r-stringr@1.6.0 r-splitstackshape@1.4.8 r-seqinr@4.2-36 r-rcurl@1.98-1.17 r-randomforest@4.7-1.2 r-party@1.3-18 r-gbm@2.2.2 r-ftrcool@2.0.0 r-entropy@1.3.2 r-e1071@1.7-16 r-dplyr@1.1.4 r-devtools@2.4.6 r-caret@7.0-1 r-biostrings@2.78.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=OpEnHiMR
Licenses: GPL 3
Build system: r
Synopsis: Optimization Based Ensemble Model for Prediction of Histone Modifications in Rice
Description:

The comprehensive knowledge of epigenetic modifications in plants, encompassing histone modifications in regulating gene expression, is not completely ingrained. It is noteworthy that histone deacetylation and histone H3 lysine 27 trimethylation (H3K27me3) play a role in repressing transcription in eukaryotes. In contrast, histone acetylation (H3K9ac) and H3K4me3 have been inevitably linked to the stimulation of gene expression, which significantly influences plant development and plays a role in plant responses to biotic and abiotic stresses. To our knowledge this the first multiclass classifier for predicting histone modification in plants. <doi:10.1186/s12864-019-5489-4>.

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-ompr 1.0.4
Propagated dependencies: r-rlang@1.1.6 r-matrix@1.7-4 r-listcomp@0.4.1 r-lazyeval@0.2.2 r-fastmap@1.2.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/dirkschumacher/ompr
Licenses: Expat
Build system: r
Synopsis: Model and Solve Mixed Integer Linear Programs
Description:

Model mixed integer linear programs in an algebraic way directly in R. The model is solver-independent and thus offers the possibility to solve a model with different solvers. It currently only supports linear constraints and objective functions. See the ompr website <https://dirkschumacher.github.io/ompr/> for more information, documentation and examples.

r-octopus 0.4.2
Propagated dependencies: r-shinyjs@2.1.0 r-shinyace@0.4.4 r-shiny@1.11.1 r-rio@1.2.4 r-janitor@2.2.1 r-httr@1.4.7 r-glue@1.8.0 r-dt@0.34.0 r-dplyr@1.1.4 r-dbi@1.2.3 r-data-table@1.17.8 r-bslib@0.9.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/MCodrescu/octopus
Licenses: Expat
Build system: r
Synopsis: Database Management Tool
Description:

This package provides a database management tool built as a shiny application. Connect to various databases to send queries, upload files, preview tables, and more.

r-oneinfl 1.0.2
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=oneinfl
Licenses: GPL 3+
Build system: r
Synopsis: Estimates OIPP and OIZTNB Regression Models
Description:

Estimates one-inflated positive Poisson (OIPP) and one-inflated zero-truncated negative binomial (OIZTNB) regression models. A suite of ancillary statistical tools are also provided, including: estimation of positive Poisson (PP) and zero-truncated negative binomial (ZTNB) models; marginal effects and their standard errors; diagnostic likelihood ratio and Wald tests; plotting; predicted counts and expected responses; and random variate generation. The models and tools, as well as four applications, are shown in Godwin, R. T. (2024). "One-inflated zero-truncated count regression models" arXiv preprint <doi:10.48550/arXiv.2402.02272>.

r-onadata 0.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://ona-book.org
Licenses: Expat
Build system: r
Synopsis: Data Sets for Keith McNulty's Handbook of Graphs and Networks in People Analytics
Description:

Data sets for network analysis related to People Analytics. Contains various data sets from the book Handbook of Graphs and Networks in People Analytics by Keith McNulty (2021).

r-orsk 1.0-8
Propagated dependencies: r-bhh2@2016.05.31 r-bb@2019.10-1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=orsk
Licenses: GPL 2+
Build system: r
Synopsis: Converting Odds Ratio to Relative Risk in Cohort Studies with Partial Data Information
Description:

Convert odds ratio to relative risk in cohort studies with partial data information (Wang (2013) <doi:10.18637/jss.v055.i05>).

r-orthodr 0.6.8
Propagated dependencies: r-survival@3.8-3 r-rgl@1.3.31 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pracma@2.4.6 r-plot3d@1.4.2 r-mass@7.3-65 r-dr@3.0.11
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/teazrq/orthoDr
Licenses: GPL 2+
Build system: r
Synopsis: Semi-Parametric Dimension Reduction Models Using Orthogonality Constrained Optimization
Description:

Utilize an orthogonality constrained optimization algorithm of Wen & Yin (2013) <DOI:10.1007/s10107-012-0584-1> to solve a variety of dimension reduction problems in the semiparametric framework, such as Ma & Zhu (2012) <DOI:10.1080/01621459.2011.646925>, Ma & Zhu (2013) <DOI:10.1214/12-AOS1072>, Sun, Zhu, Wang & Zeng (2019) <DOI:10.1093/biomet/asy064> and Zhou, Zhu & Zeng (2021) <DOI:10.1093/biomet/asaa087>. The package also implements some existing dimension reduction methods such as hMave by Xia, Zhang, & Xu (2010) <DOI:10.1198/jasa.2009.tm09372> and partial SAVE by Feng, Wen & Zhu (2013) <DOI:10.1080/01621459.2012.746065>. It also serves as a general purpose optimization solver for problems with orthogonality constraints, i.e., in Stiefel manifold. Parallel computing for approximating the gradient is enabled through OpenMP'.

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@1.2.0 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-osrmr 0.1.36
Propagated dependencies: r-stringr@1.6.0 r-rjson@0.2.23 r-r-utils@2.13.0 r-bitops@1.0-9 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=osrmr
Licenses: GPL 3
Build system: r
Synopsis: Wrapper for the 'OSRM' API
Description:

Wrapper around the Open Source Routing Machine (OSRM) API <http://project-osrm.org/>. osrmr works with API versions 4 and 5 and can handle servers that run locally as well as the OSRM webserver.

r-omsvg 0.1.0
Propagated dependencies: r-xml2@1.5.0 r-sass@0.4.10 r-rlang@1.1.6 r-magrittr@2.0.4 r-htmltools@0.5.8.1 r-gt@1.3.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/rich-iannone/omsvg
Licenses: Expat
Build system: r
Synopsis: Build and Transform 'SVG' Objects
Description:

Build SVG components using element-based functions. With an svg object, we can modify its graphical elements with a suite of transform functions.

r-otutable 1.1.2
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=OTUtable
Licenses: GPL 3
Build system: r
Synopsis: North Temperate Lakes - Microbial Observatory 16S Time Series Data and Functions
Description:

Analyses of OTU tables produced by 16S rRNA gene amplicon sequencing, as well as example data. It contains the data and scripts used in the paper Linz, et al. (2017) "Bacterial community composition and dynamics spanning five years in freshwater bog lakes," <doi: 10.1128/mSphere.00169-17>.

r-odmeans 0.2.1
Propagated dependencies: r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-ggmap@4.0.2 r-geosphere@1.5-20
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=ODMeans
Licenses: GPL 3+
Build system: r
Synopsis: OD-Means: k-Means for Origin-Destination
Description:

OD-means is a hierarchical adaptive k-means algorithm based on origin-destination pairs. In the first layer of the hierarchy, the clusters are separated automatically based on the variation of the within-cluster distance of each cluster until convergence. The second layer of the hierarchy corresponds to the sub clustering process of small clusters based on the distance between the origin and destination of each cluster.

r-outcomeweights 0.1.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-grf@2.6.1 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/MCKnaus/OutcomeWeights
Licenses: GPL 3
Build system: r
Synopsis: Outcome Weights of Treatment Effect Estimators
Description:

Many treatment effect estimators can be written as weighted outcomes. These weights have established use cases like checking covariate balancing via packages like cobalt'. This package takes the original estimator objects and outputs these outcome weights. It builds on the general framework of Knaus (2024) <doi:10.48550/arXiv.2411.11559>. This version is compatible with the grf package and provides an internal implementation of Double Machine Learning.

r-orcme 2.0.2
Propagated dependencies: r-iso@0.0-21
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=ORCME
Licenses: GPL 3
Build system: r
Synopsis: Order Restricted Clustering for Microarray Experiments
Description:

This package provides clustering of genes with similar dose response (or time course) profiles. It implements the method described by Lin et al. (2012).

r-oro-dicom 0.5.3
Propagated dependencies: r-oro-nifti@0.11.4
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: http://rig.oro.us.com
Licenses: Modified BSD
Build system: r
Synopsis: Rigorous - DICOM Input / Output
Description:

Data input/output functions for data that conform to the Digital Imaging and Communications in Medicine (DICOM) standard, part of the Rigorous Analytics bundle.

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Total results: 69112