_            _    _        _         _
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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-otelsdk 0.2.2
Dependencies: zlib@1.3.1 curl@8.6.0 cmake@4.1.3
Propagated dependencies: r-otel@0.2.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://otelsdk.r-lib.org
Licenses: Expat
Build system: r
Synopsis: 'R' 'SDK' and Exporters for 'OpenTelemetry'
Description:

OpenTelemetry is a collection of tools, APIs', and SDKs used to instrument, generate, collect, and export telemetry data (metrics, logs, and traces) for analysis in order to understand your software's performance and behavior. This package contains the OpenTelemetry SDK', and exporters. Use this package to export traces, metrics, logs from instrumented R code. Use the otel package to instrument your R code for OpenTelemetry'.

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-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-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-one4all 0.5
Propagated dependencies: r-validate@1.1.7 r-tibble@3.3.0 r-shiny@1.11.1 r-rlang@1.1.6 r-readxl@1.4.5 r-readr@2.1.6 r-openxlsx@4.2.8.1 r-mongolite@4.0.0 r-lexicon@1.2.1 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4 r-digest@0.6.39 r-data-table@1.17.8 r-ckanr@0.7.0 r-aws-s3@0.3.22
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/Moore-Institute-4-Plastic-Pollution-Res/One4All
Licenses: Expat
Build system: r
Synopsis: Validate, Share, and Download Data
Description:

Designed to enhance data validation and management processes by employing a set of functions that read a set of rules from a CSV or Excel file and apply them to a dataset. Funded by the National Renewable Energy Laboratory and Possibility Lab, maintained by the Moore Institute for Plastic Pollution Research.

r-onest 0.1.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/hangangtrue/ONEST
Licenses: GPL 3
Build system: r
Synopsis: Observers Needed to Evaluate Subjective Tests
Description:

This ONEST software implements the method of assessing the pathologist agreement in reading PD-L1 assays (Reisenbichler et al. (2020 <doi:10.1038/s41379-020-0544-x>)), to determine the minimum number of evaluators needed to estimate agreement involving a large number of raters. Input to the program should be binary(1/0) pathology data, where â 0â may stand for negative and â 1â for positive. Additional examples were given using the data from Rimm et al. (2017 <doi:10.1001/jamaoncol.2017.0013>).

r-opencast 0.1.1
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-seqinr@4.2-36 r-ftrcool@2.0.0 r-entropy@1.3.2 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=OpEnCAST
Licenses: GPL 3
Build system: r
Synopsis: Optimized Ensemble Model for C and A Methylation Search in Plant
Description:

DNA methylation is an important epigenetic process that regulates gene activity through chemical modifications of DNA without changing its sequence. OpEnCAST is a plant-specific ensemble-based prediction package that identifies 4mC, 5mC and 6mA methylation sites directly from DNA sequences. It combines multiple machine learning algorithms trained on monocot (Oryza sp.) and dicot (Arabidopsis sp.) reference models to deliver accurate predictions. This methodology is being inspired by the ensemble algorithm for methylation prediction developed by Wang et al. (2022) <doi:10.1186/s12859-022-04756-1>.

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-operators 0.1-8
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/romainfrancois/operators
Licenses: Expat
Build system: r
Synopsis: Additional Binary Operators
Description:

This package provides a set of binary operators for common tasks such as regex manipulation.

r-oncotree 0.3.5
Propagated dependencies: r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/anikoszabo/Oncotree
Licenses: GPL 2+
Build system: r
Synopsis: Estimating Oncogenetic Trees
Description:

Construct and evaluate directed tree structures that model the process of occurrence of genetic alterations during carcinogenesis as described in Szabo, A. and Boucher, K (2002) <doi:10.1016/S0025-5564(02)00086-X>.

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-openebgm 0.9.1
Propagated dependencies: r-ggplot2@4.0.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://journal.r-project.org/archive/2017/RJ-2017-063/index.html
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: EBGM Disproportionality Scores for Adverse Event Data Mining
Description:

An implementation of DuMouchel's (1999) <doi:10.1080/00031305.1999.10474456> Bayesian data mining method for the market basket problem. Calculates Empirical Bayes Geometric Mean (EBGM) and posterior quantile scores using the Gamma-Poisson Shrinker (GPS) model to find unusually large cell counts in large, sparse contingency tables. Can be used to find unusually high reporting rates of adverse events associated with products. In general, can be used to mine any database where the co-occurrence of two variables or items is of interest. Also calculates relative and proportional reporting ratios. Builds on the work of the PhViD package, from which much of the code is derived. Some of the added features include stratification to adjust for confounding variables and data squashing to improve computational efficiency. Includes an implementation of the EM algorithm for hyperparameter estimation loosely derived from the mederrRank package.

r-openrepgrid 0.1.18
Propagated dependencies: r-xml@3.99-0.20 r-tidyr@1.3.1 r-stringr@1.6.0 r-scales@1.4.0 r-pvclust@2.2-0 r-psych@2.5.6 r-plyr@1.8.9 r-openxlsx@4.2.8.1 r-igraph@2.2.1 r-dplyr@1.1.4 r-crayon@1.5.3 r-colorspace@2.1-2 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/markheckmann/OpenRepGrid
Licenses: GPL 2+
Build system: r
Synopsis: Tools to Analyze Repertory Grid Data
Description:

Analyze repertory grids, a qualitative-quantitative data collection technique devised by George A. Kelly in the 1950s. Today, grids are used across various domains ranging from clinical psychology to marketing. The package contains functions to quantitatively analyze and visualize repertory grid data (e.g. Fransella', Bell', & Bannister', 2004, ISBN: 978-0-470-09080-0). The package is part of the The package is part of the <https://openrepgrid.org/> project.

r-optimsimplex 1.0-8
Propagated dependencies: r-optimbase@1.0-10
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=optimsimplex
Licenses: FSDG-compatible
Build system: r
Synopsis: R Port of the 'Scilab' Optimsimplex Module
Description:

This package provides a building block for optimization algorithms based on a simplex. The optimsimplex package may be used in the following optimization methods: the simplex method of Spendley et al. (1962) <doi:10.1080/00401706.1962.10490033>, the method of Nelder and Mead (1965) <doi:10.1093/comjnl/7.4.308>, Box's algorithm for constrained optimization (1965) <doi:10.1093/comjnl/8.1.42>, the multi-dimensional search by Torczon (1989) <https://www.cs.wm.edu/~va/research/thesis.pdf>, etc...

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-optifunset 1.0
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=optifunset
Licenses: GPL 2
Build system: r
Synopsis: Set Options if Unset
Description:

This package provides a single function options.ifunset(...) is contained herewith, which allows the user to set a global option ONLY if it is not already set. By this token, for package maintainers this function can be used in preference to the standard options(...) function, making provision for THEIR end user to place options(...) directives within their .Rprofile file, which will not be overridden at the point when a package is loaded.

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.

r-oacolors 0.0.4
Propagated dependencies: r-rcolorbrewer@1.1-3 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: http://www.openanalytics.eu
Licenses: FSDG-compatible
Build system: r
Synopsis: OpenAnalytics Colors Package
Description:

This package provides carefully chosen color palettes as used a.o. at OpenAnalytics <http://www.openanalytics.eu>.

r-osdesign 1.8
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=osDesign
Licenses: GPL 3+
Build system: r
Synopsis: Design, Planning and Analysis of Observational Studies
Description:

This package provides a suite of functions for the design of case-control and two-phase studies, and the analysis of data that arise from them. Functions in this packages provides Monte Carlo based evaluation of operating characteristics such as powers for estimators of the components of a logistic regression model. For additional detail see: Haneuse S, Saegusa T and Lumley T (2011)<doi:10.18637/jss.v043.i11>.

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-origin 1.2.1
Propagated dependencies: r-rstudioapi@0.17.1 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/mnist91/origin
Licenses: Expat
Build system: r
Synopsis: Explicitly Qualifying Namespaces by Automatically Adding 'pkg::' to Functions
Description:

Automatically adding pkg:: to a function, i.e. mutate() becomes dplyr::mutate(). It is up to the user to determine which packages should be used explicitly, whether to include base R packages or use the functionality on selected text, a file, or a complete directory. User friendly logging is provided in the RStudio Markers pane. Lives in the spirit of lintr and styler'. Can also be used for checking which packages are actually used in a project.

r-omnibus 1.2.15
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://github.com/adamlilith/omnibus
Licenses: GPL 3+
Build system: r
Synopsis: Helper Tools for Managing Data, Dates, Missing Values, and Text
Description:

An assortment of helper functions for managing data (e.g., rotating values in matrices by a user-defined angle, switching from row- to column-indexing), dates (e.g., intuiting year from messy date strings), handling missing values (e.g., removing elements/rows across multiple vectors or matrices if any have an NA), text (e.g., flushing reports to the console in real-time); and combining data frames with different schema (copying, filling, or concatenating columns or applying functions before combining).

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-opc 0.0.2
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=OPC
Licenses: Expat
Build system: r
Synopsis: The Online Principal Component Estimation Method
Description:

The online principal component method can process the online data set. The philosophy of the package is described in Guo G. (2018) <doi:10.1080/10485252.2018.1531130>.

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Total results: 69112