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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-wqtrends 1.5.2
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: <https://github.com/tbep-tech/wqtrends/>
Licenses: CC0
Build system: r
Synopsis: Assess Water Quality Trends with Generalized Additive Models
Description:

Assess Water Quality Trends for Long-Term Monitoring Data in Estuaries using Generalized Additive Models following Wood (2017) <doi:10.1201/9781315370279> and Error Propagation with Mixed-Effects Meta-Analysis following Sera et al. (2019) <doi:10.1002/sim.8362>. Methods are available for model fitting, assessment of fit, annual and seasonal trend tests, and visualization of results.

r-woakmedoids 0.2.2
Propagated dependencies: r-rcppparallel@5.1.11-1 r-rcpp@1.1.0 r-proxy@0.4-27 r-dtwclust@6.0.0 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=WOAkMedoids
Licenses: GPL 2+
Build system: r
Synopsis: Whale Optimization Algorithm for K-Medoids Clustering
Description:

This package implements the Whale Optimization Algorithm(WOA) for k-medoids clustering, providing tools for effective and efficient cluster analysis in various data sets. The methodology is based on "The Whale Optimization Algorithm" by Mirjalili and Lewis (2016) <doi:10.1016/j.advengsoft.2016.01.008>.

r-weightedroc 2020.1.31
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/tdhock/WeightedROC
Licenses: GPL 3
Build system: r
Synopsis: Fast, Weighted ROC Curves
Description:

Fast computation of Receiver Operating Characteristic (ROC) curves and Area Under the Curve (AUC) for weighted binary classification problems (weights are example-specific cost values).

r-wordpools 1.2.0
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=WordPools
Licenses: GPL 2
Build system: r
Synopsis: Word Pools Used in Studies of Learning and Memory
Description:

Collects several classical word pools used most often to provide lists of words in psychological studies of learning and memory. It provides a simple function, pickList for selecting random samples of words within given ranges.

r-weyl 0.0-7
Propagated dependencies: r-spray@1.0-27 r-freealg@1.1-8 r-disordr@0.9-8-5
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/RobinHankin/weyl
Licenses: GPL 2+
Build system: r
Synopsis: The Weyl Algebra
Description:

This package provides a suite of routines for Weyl algebras. Notation follows Coutinho (1995, ISBN 0-521-55119-6, "A Primer of Algebraic D-Modules"). Uses disordR discipline (Hankin 2022 <doi:10.48550/arXiv.2210.03856>). To cite the package in publications, use Hankin 2022 <doi:10.48550/arXiv.2212.09230>.

r-webshot2 0.1.2
Propagated dependencies: r-promises@1.5.0 r-magrittr@2.0.4 r-later@1.4.4 r-chromote@0.5.1 r-callr@3.7.6
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://rstudio.github.io/webshot2/
Licenses: Expat
Build system: r
Synopsis: Take Screenshots of Web Pages
Description:

Takes screenshots of web pages, including Shiny applications and R Markdown documents. webshot2 uses headless Chrome or Chromium as the browser back-end.

r-waveletmlbestfl 0.1.0
Propagated dependencies: r-waveletml@0.1.0 r-describedf@0.2.1 r-ceemdanml@0.1.0
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=WaveletMLbestFL
Licenses: GPL 3
Build system: r
Synopsis: The Best Wavelet Filter-Level for Prepared Wavelet-Based Models
Description:

Four filters have been chosen namely haar', c6', la8', and bl14 (Kindly refer to wavelets in CRAN repository for more supported filters). Levels of decomposition are 2, 3, 4, etc. up to maximum decomposition level which is ceiling value of logarithm of length of the series base 2. For each combination two models are run separately. Results are stored in input'. First five metrics are expected to be minimum and last three metrics are expected to be maximum for a model to be considered good. Firstly, every metric value (among first five) is searched in every columns and minimum values are denoted as MIN and other values are denoted as NA'. Secondly, every metric (among last three) is searched in every columns and maximum values are denoted as MAX and other values are denoted as NA'. output contains the similar number of rows (which is 8) and columns (which is number filter-level combinations) as of input'. Values in output are corresponding NA', MIN or MAX'. Finally, the column containing minimum number of NA values is denoted as the best ('FL'). In special case, if two columns having equal NA', it has been checked among these two columns which one is having least NA in first five rows and has been inferred as the best. FL_metrics_values are the corresponding metrics values. WARIGAANbest is the data frame (dimension: 1*8) containing different metrics of the best filter-level combination. More details can be found in Garai and others (2023) <doi:10.13140/RG.2.2.11977.42087>.

r-wru 3.0.3
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/kosukeimai/wru
Licenses: GPL 3+
Build system: r
Synopsis: Who are You? Bayesian Prediction of Racial Category Using Surname, First Name, Middle Name, and Geolocation
Description:

Predicts individual race/ethnicity using surname, first name, middle name, geolocation, and other attributes, such as gender and age. The method utilizes Bayes Rule (with optional measurement error correction) to compute the posterior probability of each racial category for any given individual. The package implements methods described in Imai and Khanna (2016) "Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records" Political Analysis <DOI:10.1093/pan/mpw001> and Imai, Olivella, and Rosenman (2022) "Addressing census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements" <DOI:10.1126/sciadv.adc9824>. The package also incorporates the data described in Rosenman, Olivella, and Imai (2023) "Race and ethnicity data for first, middle, and surnames" <DOI:10.1038/s41597-023-02202-2>.

r-wsprv 0.1.0
Propagated dependencies: r-mnormt@2.1.1 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=wsprv
Licenses: GPL 2
Build system: r
Synopsis: Weighted Selection Probability for Rare Variant Analysis
Description:

This package provides a weighted selection probability to locate rare variants associated with multiple phenotypes.

r-weibullmodiamr 0.1.0
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=WeibullModiAMR
Licenses: GPL 3
Build system: r
Synopsis: Fit Modified Weibull-Type Distributions
Description:

This package provides maximum likelihood estimation methods for eight modified Weibull-type distributions. It returns parameter estimates, log-likelihood, AIC, and BIC, and also supports model fitting, validation, and comparison across different distributional forms. These methods can be applied to reliability, survival, and lifetime data analysis, making the package useful for researchers and practitioners in statistics, engineering, and medicine. The following distributions are included: Rangoli2023, Peng2014, Lai2003, Xie1996, Sarhan2009, Rangoli2025, Mustafa2012, and Alwasel2009.

r-wavethresh 4.7.3
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=wavethresh
Licenses: GPL 2+
Build system: r
Synopsis: Wavelets Statistics and Transforms
Description:

This package performs 1, 2 and 3D real and complex-valued wavelet transforms, nondecimated transforms, wavelet packet transforms, nondecimated wavelet packet transforms, multiple wavelet transforms, complex-valued wavelet transforms, wavelet shrinkage for various kinds of data, locally stationary wavelet time series, nonstationary multiscale transfer function modeling, density estimation.

r-wosr 0.3.0
Propagated dependencies: r-xml2@1.5.0 r-pbapply@1.7-4 r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://vt-arc.github.io/wosr/index.html
Licenses: Expat
Build system: r
Synopsis: Clients to the 'Web of Science' and 'InCites' APIs
Description:

R clients to the Web of Science and InCites <https://clarivate.com/products/data-integration/> APIs, which allow you to programmatically download publication and citation data indexed in the Web of Science and InCites databases.

r-wordcloud2 0.2.1
Propagated dependencies: r-htmlwidgets@1.6.4 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/lchiffon/wordcloud2
Licenses: GPL 2
Build system: r
Synopsis: Create Word Cloud by 'htmlwidget'
Description:

This package provides a fast visualization tool for creating wordcloud by using wordcloud2.js'. wordcloud2.js is a JavaScript library to create wordle presentation on 2D canvas or HTML <https://timdream.org/wordcloud2.js/>.

r-wpproj 0.2.3
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/ericdunipace/WpProj
Licenses: FSDG-compatible
Build system: r
Synopsis: Linear p-Wasserstein Projections
Description:

This package performs Wasserstein projections from the predictive distributions of any model into the space of predictive distributions of linear models. We utilize L1 penalties to also reduce the complexity of the model space. This package employs the methods as described in Dunipace, Eric and Lorenzo Trippa (2020) <doi:10.48550/arXiv.2012.09999>.

r-windows-pls 0.1.0
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/egonzato/windows.pls
Licenses: Expat
Build system: r
Synopsis: Segmentation Approaches in Chemometrics
Description:

Evaluation of prediction performance of smaller regions of spectra for Chemometrics. Segmentation of spectra, evolving dimensions regions and sliding windows as selection methods. Election of the best model among those computed based on error metrics. Chen et al.(2017) <doi:10.1007/s00216-017-0218-9>.

r-wrangle 0.6.4
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=wrangle
Licenses: GPL 3
Build system: r
Synopsis: Systematic Data Wrangling Idiom
Description:

Supports systematic scrutiny, modification, and integration of data. The function status() counts rows that have missing values in grouping columns (returned by na() ), have non-unique combinations of grouping columns (returned by dup() ), and that are not locally sorted (returned by unsorted() ). Functions enumerate() and itemize() give sorted unique combinations of columns, with or without occurrence counts, respectively. Function ignore() drops columns in x that are present in y, and informative() drops columns in x that are entirely NA; constant() returns values that are constant, given a key. Data that have defined unique combinations of grouping values behave more predictably during merge operations.

r-worldmet 1.0.0
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://openair-project.github.io/worldmet/
Licenses: Expat
Build system: r
Synopsis: Import Surface Meteorological Data from NOAA
Description:

This package provides functions to import data from more than 30,000 surface meteorological sites around the world managed by the National Oceanic and Atmospheric Administration (NOAA) Global Historical Climate Network (GHCN) and Integrated Surface Database (ISD).

r-winch 0.1.3
Dependencies: zlib@1.3.1
Propagated dependencies: r-procmaps@0.0.5 r-lifecycle@1.0.4
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://r-prof.github.io/winch/
Licenses: GPL 3
Build system: r
Synopsis: Portable Native and Joint Stack Traces
Description:

Obtain the native stack trace and fuse it with R's stack trace for easier debugging of R packages with native code.

r-wrss 3.2
Propagated dependencies: r-nloptr@2.2.1 r-network@1.19.0 r-hmisc@5.2-4 r-ggplot2@4.0.1 r-ggally@2.4.0
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=WRSS
Licenses: GPL 3
Build system: r
Synopsis: Water Resources System Simulator
Description:

This package provides tools for constructing, simulating, and analyzing large-scale water resources systems. The package provides functions to represent system components such as reservoirs, aquifers, rivers, diversions, and demand sites, and to simulate system behavior under Standard Operating Policy. It also supports the development and evaluation of water allocation strategies and hydropower operations within integrated water resources systems.

r-wordpredictor 0.0.5
Propagated dependencies: r-stringr@1.6.0 r-snowballc@0.7.1 r-patchwork@1.3.2 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/pakjiddat/word-predictor
Licenses: Expat
Build system: r
Synopsis: Develop Text Prediction Models Based on N-Grams
Description:

This package provides a framework for developing n-gram models for text prediction. It provides data cleaning, data sampling, extracting tokens from text, model generation, model evaluation and word prediction. For information on how n-gram models work we referred to: "Speech and Language Processing" <https://web.archive.org/web/20240919222934/https%3A%2F%2Fweb.stanford.edu%2F~jurafsky%2Fslp3%2F3.pdf>. For optimizing R code and using R6 classes we referred to "Advanced R" <https://adv-r.hadley.nz/r6.html>. For writing R extensions we referred to "R Packages", <https://r-pkgs.org/index.html>.

r-wallomicsdata 1.0
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=WallomicsData
Licenses: GPL 3
Build system: r
Synopsis: Datasets for Multi-Omics Integration in a Plant Abiotic Stress Context
Description:

Datasets from the WallOmics project. Contains phenomics, metabolomics, proteomics and transcriptomics data collected from two organs of five ecotypes of the model plant Arabidopsis thaliana exposed to two temperature growth conditions. Exploratory and integrative analyses of these data are presented in Durufle et al (2020) <doi:10.1093/bib/bbaa166> and Durufle et al (2020) <doi:10.3390/cells9102249>.

r-wper 0.1.0
Propagated dependencies: r-sf@1.0-23 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://gr3602.github.io/wpeR/
Licenses: GPL 3+
Build system: r
Synopsis: Streamlined Analysis of Wild Pedigree Data
Description:

Analyzing pedigree data of wild populations. While primarily designed to process outputs from the COLONY (Jones & Wang (2010) <doi:10.1111/j.1755-0998.2009.02787.x>) pedigree reconstruction software, it can also accommodate data from other sources. By linking reconstructed pedigrees with genetic sample metadata, wpeR produces spatial and temporal visualizations as well as tabular summaries that support interpretation of family structures and dynamics. The main goal of the package is to provide a solution for the analysis of complex wild pedigree data and to help the user to gain insights into genetic relationships within wild animal populations.

r-wisam 0.2.8
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=wISAM
Licenses: GPL 3
Build system: r
Synopsis: Weighted Inbred Strain Association Mapping
Description:

In the course of a genome-wide association study, the situation often arises that some phenotypes are known with greater precision than others. It could be that some individuals are known to harbor more micro-environmental variance than others. In the case of inbred strains of model organisms, it could be the case that more organisms were observed from some strains than others, so the strains with more organisms have better-estimated means. Package wISAM handles this situation by allowing for weighting of each observation according to residual variance. Specifically, the weight parameter to the function conduct_scan() takes the precision of each observation (one over the variance).

r-wec 0.4-1
Propagated dependencies: r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: http://www.ru.nl/sociology/mt/wec/downloads/
Licenses: GPL 3
Build system: r
Synopsis: Weighted Effect Coding
Description:

This package provides functions to create factor variables with contrasts based on weighted effect coding, and their interactions. In weighted effect coding the estimates from a first order regression model show the deviations per group from the sample mean. This is especially useful when a researcher has no directional hypotheses and uses a sample from a population in which the number of observation per group is different.

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Total results: 69112