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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-wmwm 1.0.0
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=wmwm
Licenses: Expat
Build system: r
Synopsis: Performs Wilcoxon-Mann-Whitney Test with Missing Data
Description:

This package performs Wilcoxon-Mann-Whitney test in the presence of missing data with controlled Type I error regardless of the values of missing data.

r-webdeveloper 1.0.5
Propagated dependencies: r-stringi@1.8.7 r-readr@2.1.6 r-promises@1.5.0 r-httpuv@1.6.16 r-html5@1.0.2 r-future@1.68.0
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=webdeveloper
Licenses: GPL 2+
Build system: r
Synopsis: Functions for Web Development
Description:

Organizational framework for web development in R including functions to serve static and dynamic content via HTTP methods, includes the html5 package to create HTML pages, and offers other utility functions for common tasks related to web development.

r-wacs 1.1.0
Propagated dependencies: r-tmvtnorm@1.7 r-mvtnorm@1.3-3 r-mnormt@2.1.1 r-mclust@6.1.2
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://miat.inrae.fr/site/Ronan_TREPOS
Licenses: GPL 2+
Build system: r
Synopsis: Multivariate Weather-State Approach Conditionally Skew-Normal Generator
Description:

This package provides a multivariate weather generator for daily climate variables based on weather-states (Flecher et al. (2010) <doi:10.1029/2009WR008098>). It uses a Markov chain for modeling the succession of weather states. Conditionally to the weather states, the multivariate variables are modeled using the family of Complete Skew-Normal distributions. Parameters are estimated on measured series. Must include the variable Rain and can accept as many other variables as desired.

r-wrproteo 1.13.3
Propagated dependencies: r-wrmisc@1.15.4 r-limma@3.66.0 r-knitr@1.50
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=wrProteo
Licenses: GPL 3
Build system: r
Synopsis: Proteomics Data Analysis Functions
Description:

Data analysis of proteomics experiments by mass spectrometry is supported by this collection of functions mostly dedicated to the analysis of (bottom-up) quantitative (XIC) data. Fasta-formatted proteomes (eg from UniProt Consortium <doi:10.1093/nar/gky1049>) can be read with automatic parsing and multiple annotation types (like species origin, abbreviated gene names, etc) extracted. Initial results from multiple software for protein (and peptide) quantitation can be imported (to a common format): MaxQuant (Tyanova et al 2016 <doi:10.1038/nprot.2016.136>), Dia-NN (Demichev et al 2020 <doi:10.1038/s41592-019-0638-x>), Fragpipe (da Veiga et al 2020 <doi:10.1038/s41592-020-0912-y>), ionbot (Degroeve et al 2021 <doi:10.1101/2021.07.02.450686>), MassChroq (Valot et al 2011 <doi:10.1002/pmic.201100120>), OpenMS (Strauss et al 2021 <doi:10.1038/nmeth.3959>), ProteomeDiscoverer (Orsburn 2021 <doi:10.3390/proteomes9010015>), Proline (Bouyssie et al 2020 <doi:10.1093/bioinformatics/btaa118>), AlphaPept (preprint Strauss et al <doi:10.1101/2021.07.23.453379>) and Wombat-P (Bouyssie et al 2023 <doi:10.1021/acs.jproteome.3c00636>. Meta-data provided by initial analysis software and/or in sdrf format can be integrated to the analysis. Quantitative proteomics measurements frequently contain multiple NA values, due to physical absence of given peptides in some samples, limitations in sensitivity or other reasons. Help is provided to inspect the data graphically to investigate the nature of NA-values via their respective replicate measurements and to help/confirm the choice of NA-replacement algorithms. Meta-data in sdrf-format (Perez-Riverol et al 2020 <doi:10.1021/acs.jproteome.0c00376>) or similar tabular formats can be imported and included. Missing values can be inspected and imputed based on the concept of NA-neighbours or other methods. Dedicated filtering and statistical testing using the framework of package limma <doi:10.18129/B9.bioc.limma> can be run, enhanced by multiple rounds of NA-replacements to provide robustness towards rare stochastic events. Multi-species samples, as frequently used in benchmark-tests (eg Navarro et al 2016 <doi:10.1038/nbt.3685>, Ramus et al 2016 <doi:10.1016/j.jprot.2015.11.011>), can be run with special options considering such sub-groups during normalization and testing. Subsequently, ROC curves (Hand and Till 2001 <doi:10.1023/A:1010920819831>) can be constructed to compare multiple analysis approaches. As detailed example the data-set from Ramus et al 2016 <doi:10.1016/j.jprot.2015.11.011>) quantified by MaxQuant, ProteomeDiscoverer, and Proline is provided with a detailed analysis of heterologous spike-in proteins.

r-weird 2.0.0
Propagated dependencies: r-vctrs@0.6.5 r-stray@0.1.1 r-rstudioapi@0.17.1 r-robustbase@0.99-6 r-rlang@1.1.6 r-rann@2.6.2 r-purrr@1.2.0 r-mvtnorm@1.3-3 r-lookout@2.0.0 r-ks@1.15.1 r-ggplot2@4.0.1 r-evd@2.3-7.1 r-dplyr@1.1.4 r-distributional@0.5.0 r-dbscan@1.2.3 r-crayon@1.5.3 r-cli@3.6.5 r-broom@1.0.10 r-aplpack@1.3.5
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://pkg.robjhyndman.com/weird/
Licenses: GPL 3
Build system: r
Synopsis: Functions and Data Sets for "That's Weird: Anomaly Detection Using R" by Rob J Hyndman
Description:

All functions and data sets required for the examples in the book Hyndman (2026) "That's Weird: Anomaly Detection Using R" <https://OTexts.com/weird/>. All packages needed to run the examples are also loaded.

r-winputall 1.0.1
Propagated dependencies: r-stanheaders@2.32.10 r-rstantools@2.5.0 r-rstan@2.32.7 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-plm@2.6-7 r-matrixstats@1.5.0 r-matrixcalc@1.0-6 r-matrix@1.7-4 r-mass@7.3-65 r-learnbayes@2.15.1 r-ks@1.15.1 r-future-apply@1.20.0 r-future@1.68.0 r-dplyr@1.1.4 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=winputall
Licenses: GPL 3+
Build system: r
Synopsis: Variable Input Allocation Among Crops
Description:

Using a time-varying random parameters model developed in Koutchade et al., (2024) <https://hal.science/hal-04318163>, this package allows allocating variable input costs among crops produced by farmers based on panel data including information on input expenditure aggregated at the farm level and acreage shares. It also considers in fairly way the weighting data and can allow integrating time-varying and time-constant control variables.

r-wmwssp 0.5.3
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/happma/WMWssp
Licenses: GPL 3
Build system: r
Synopsis: Wilcoxon-Mann-Whitney Sample Size Planning
Description:

Calculates the minimal sample size for the Wilcoxon-Mann-Whitney test that is needed for a given power and two sided type I error rate. The method works for metric data with and without ties, count data, ordered categorical data, and even dichotomous data. But data is needed for the reference group to generate synthetic data for the treatment group based on a relevant effect. See Happ et al. (2019, <doi:10.1002/sim.7983>) for details.

r-wbacon 0.6-3
Propagated dependencies: r-hexbin@1.28.5
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/tobiasschoch/wbacon
Licenses: GPL 2+
Build system: r
Synopsis: Weighted BACON Algorithms
Description:

The BACON algorithms are methods for multivariate outlier nomination (detection) and robust linear regression by Billor, Hadi, and Velleman (2000) <doi:10.1016/S0167-9473(99)00101-2>. The extension to weighted problems is due to Beguin and Hulliger (2008) <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X200800110616>; see also <doi:10.21105/joss.03238>.

r-wikifacts 0.4.2
Propagated dependencies: r-xml2@1.5.0 r-rvest@1.0.5 r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=wikifacts
Licenses: CC0
Build system: r
Synopsis: Get Facts and Data from Wikipedia and Wikidata
Description:

Query Wikidata and get facts from current and historic Wikipedia main pages.

r-waveletgarch 0.1.1
Propagated dependencies: r-wavelets@0.3-0.2 r-rugarch@1.5-4 r-fracdiff@1.5-3 r-forecast@8.24.0 r-fints@0.4-9
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=WaveletGARCH
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Fit the Wavelet-GARCH Model to Volatile Time Series Data
Description:

Fits the combination of Wavelet-GARCH model for time series forecasting using algorithm by Paul (2015) <doi:10.3233/MAS-150328>.

r-wemix 4.0.3
Propagated dependencies: r-numderiv@2016.8-1.1 r-minqa@1.2.8 r-matrixstats@1.5.0 r-matrix@1.7-4 r-lme4@1.1-37
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://american-institutes-for-research.github.io/WeMix/
Licenses: GPL 2
Build system: r
Synopsis: Weighted Mixed-Effects Models Using Multilevel Pseudo Maximum Likelihood Estimation
Description:

Run mixed-effects models that include weights at every level. The WeMix package fits a weighted mixed model, also known as a multilevel, mixed, or hierarchical linear model (HLM). The weights could be inverse selection probabilities, such as those developed for an education survey where schools are sampled probabilistically, and then students inside of those schools are sampled probabilistically. Although mixed-effects models are already available in R, WeMix is unique in implementing methods for mixed models using weights at multiple levels. Both linear and logit models are supported. Models may have up to three levels. Random effects are estimated using the PIRLS algorithm from lme4pureR (Walker and Bates (2013) <https://github.com/lme4/lme4pureR>).

r-weightedensemble 0.1.0
Propagated dependencies: r-metaheuristicopt@2.0.0
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=WeightedEnsemble
Licenses: GPL 3
Build system: r
Synopsis: Weighted Ensemble for Hybrid Model
Description:

The weighted ensemble method is a valuable approach for combining forecasts. This algorithm employs several optimization techniques to generate optimized weights. This package has been developed using algorithm of Armstrong (1989) <doi:10.1016/0024-6301(90)90317-W>.

r-whippr 0.1.4
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://fmmattioni.github.io/whippr/
Licenses: Expat
Build system: r
Synopsis: Tools for Manipulating Gas Exchange Data
Description:

Set of tools for manipulating gas exchange data from cardiopulmonary exercise testing.

r-washr 1.0.1
Propagated dependencies: r-usethis@3.2.1 r-rlang@1.1.6 r-pkgdown@2.2.0 r-devtools@2.4.6 r-desc@1.4.3 r-cffr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://openwashdata.github.io/washr/
Licenses: GPL 3+
Build system: r
Synopsis: Publication Toolkit for Water, Sanitation and Hygiene (WASH) Data
Description:

This package provides a toolkit to set up an R data package in a consistent structure. Automates tasks like tidy data export, data dictionary documentation, README and website creation, and citation management.

r-waver 0.3.0
Propagated dependencies: r-sf@1.0-23 r-geosphere@1.5-20
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/pmarchand1/waver
Licenses: GPL 3
Build system: r
Synopsis: Calculate Fetch and Wave Energy
Description:

This package provides functions for calculating the fetch (length of open water distance along given directions) and estimating wave energy from wind and wave monitoring data.

r-wrtopdownfrag 1.0.4
Propagated dependencies: r-wrproteo@1.13.3 r-wrmisc@1.15.4
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=wrTopDownFrag
Licenses: GPL 3
Build system: r
Synopsis: Internal Fragment Identification from Top-Down Mass Spectrometry
Description:

Top-Down mass spectrometry aims to identify entire proteins as well as their (post-translational) modifications or ions bound (eg Chen et al (2018) <doi:10.1021/acs.analchem.7b04747>). The pattern of internal fragments (Haverland et al (2017) <doi:10.1007/s13361-017-1635-x>) may reveal important information about the original structure of the proteins studied (Skinner et al (2018) <doi:10.1038/nchembio.2515> and Li et al (2018) <doi:10.1038/nchem.2908>). However, the number of possible internal fragments gets huge with longer proteins and subsequent identification of internal fragments remains challenging, in particular since the the accuracy of measurements with current mass spectrometers represents a limiting factor. This package attempts to deal with the complexity of internal fragments and allows identification of terminal and internal fragments from deconvoluted mass-spectrometry data.

r-wfindr 0.1.0
Propagated dependencies: r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/idmn/wfindr
Licenses: GPL 2
Build system: r
Synopsis: Crossword, Scrabble and Anagram Solver
Description:

This package provides a large English words list and tools to find words by patterns. In particular, anagram finder and scrabble word finder.

r-walmartapi 0.1.5
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-purrr@1.2.0 r-magrittr@2.0.4 r-httr@1.4.7 r-glue@1.8.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/EmilHvitfeldt/walmartAPI
Licenses: Expat
Build system: r
Synopsis: Walmart Open API Wrapper
Description:

This package provides API access to the Walmart Open API <https://developer.walmartlabs.com/>, that contains data about stores, Value of the day and products which includes names, sale prices, shipping rates and taxonomies.

r-wig 0.1.0
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/ramiromagno/wig
Licenses: Expat
Build system: r
Synopsis: Import WIG Data into R in Long Format
Description:

Import WIG data into R in long format.

r-waveletcomp 1.2
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: http://www.hs-stat.com/projects/WaveletComp/WaveletComp_guided_tour.pdf
Licenses: GPL 2
Build system: r
Synopsis: Computational Wavelet Analysis
Description:

Wavelet analysis and reconstruction of time series, cross-wavelets and phase-difference (with filtering options), significance with simulation algorithms.

r-worldflora 1.14-5
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=WorldFlora
Licenses: GPL 3
Build system: r
Synopsis: Standardize Plant Names According to World Flora Online Taxonomic Backbone
Description:

World Flora Online is an online flora of all known plants, available from <https://www.worldfloraonline.org/>. Methods are provided of matching a list of plant names (scientific names, taxonomic names, botanical names) against a static copy of the World Flora Online Taxonomic Backbone data that can be downloaded from the World Flora Online website. The World Flora Online Taxonomic Backbone is an updated version of The Plant List (<http://www.theplantlist.org/>), a working list of plant names that has become static since 2013.

r-wce 1.0.4
Propagated dependencies: r-survival@3.8-3 r-plyr@1.8.9
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=WCE
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Weighted Cumulative Exposure Models
Description:

This package provides a flexible method for modeling cumulative effects of time-varying exposures, weighted according to their relative proximity in time, and represented by time-dependent covariates. The current implementation estimates the weight function in the Cox proportional hazards model. The function that assigns weights to doses taken in the past is estimated using cubic regression splines.

r-wikilake 0.7.0
Propagated dependencies: r-xml2@1.5.0 r-wikipedir@1.7.1 r-units@1.0-0 r-tidyr@1.3.1 r-stringr@1.6.0 r-stringi@1.8.7 r-sp@2.2-0 r-selectr@0.5-0 r-rvest@1.0.5 r-maps@3.4.3 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/jsta/wikilake
Licenses: GPL 2+
Build system: r
Synopsis: Scrape Lake Metadata Tables from Wikipedia
Description:

Scrape lake metadata tables from Wikipedia <https://www.wikipedia.org/>.

r-wehoop 2.1.0
Propagated dependencies: r-usethis@3.2.1 r-tidyr@1.3.1 r-stringr@1.6.0 r-rvest@1.0.5 r-rlang@1.1.6 r-rcppparallel@5.1.11-1 r-rcpp@1.1.0 r-purrr@1.2.0 r-progressr@0.18.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-janitor@2.2.1 r-glue@1.8.0 r-dplyr@1.1.4 r-data-table@1.17.8 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://wehoop.sportsdataverse.org
Licenses: Expat
Build system: r
Synopsis: Access Women's Basketball Play by Play Data
Description:

This package provides a utility for working with women's basketball data. A scraping and aggregating interface for the WNBA Stats API <https://stats.wnba.com/> and ESPN's <https://www.espn.com> women's college basketball and WNBA statistics. It provides users with the capability to access the game play-by-plays, box scores, standings and results to analyze the data for themselves.

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