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

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-weightquant 1.0.1
Propagated dependencies: r-stringr@1.6.0 r-quantreg@6.1 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=weightQuant
Licenses: GPL 2+
Build system: r
Synopsis: Weights for Incomplete Longitudinal Data and Quantile Regression
Description:

Estimation of observation-specific weights for incomplete longitudinal data and bootstrap procedure for weighted quantile regressions. See Jacqmin-Gadda, Rouanet, Mba, Philipps, Dartigues (2020) for details <doi:10.1177/0962280220909986>.

r-whsample 0.9.6.2
Propagated dependencies: r-purrr@1.2.0 r-openxlsx@4.2.8.1 r-magrittr@2.0.4 r-dplyr@1.1.4 r-data-table@1.17.8 r-bit64@4.6.0-1
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=whSample
Licenses: GPL 3
Build system: r
Synopsis: Utilities for Sampling
Description:

Interactive tools for generating random samples. Users select an .xlsx, .csv, or delimited .txt file with population data and are walked through selecting the sample type (Simple Random Sample or Stratified), the number of backups desired, and a "stratify_on" value (if desired). The sample size is determined using a normal approximation to the hypergeometric distribution based on Nicholson (1956) <doi:10.1214/aoms/1177728270>. An .xlsx file is created with the sample and key metadata for reference. It is menu-driven and lets users pick an output directory. See vignettes for a detailed walk-through.

r-webgestaltr 0.4.6
Propagated dependencies: r-whisker@0.4.1 r-svglite@2.2.2 r-rlang@1.1.6 r-readr@2.1.6 r-rcpp@1.1.0 r-jsonlite@2.0.0 r-igraph@2.2.1 r-httr@1.4.7 r-foreach@1.5.2 r-dplyr@1.1.4 r-dorng@1.8.6.2 r-doparallel@1.0.17 r-apcluster@1.4.14
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/bzhanglab/WebGestaltR
Licenses: LGPL 2.0+
Build system: r
Synopsis: Gene Set Analysis Toolkit WebGestaltR
Description:

The web version WebGestalt <https://www.webgestalt.org> supports 12 organisms, 354 gene identifiers and 321,251 function categories. Users can upload the data and functional categories with their own gene identifiers. In addition to the Over-Representation Analysis, WebGestalt also supports Gene Set Enrichment Analysis and Network Topology Analysis. The user-friendly output report allows interactive and efficient exploration of enrichment results. The WebGestaltR package not only supports all above functions but also can be integrated into other pipeline or simultaneously analyze multiple gene lists.

r-westerlund 0.1.1
Propagated dependencies: r-tidyr@1.3.1 r-scales@1.4.0 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://github.com/bosco-hung/WesterlundTest
Licenses: Expat
Build system: r
Synopsis: Panel Cointegration Tests Based on Westerlund (2007)
Description:

This package implements a functional approximation of the four panel cointegration tests developed by Westerlund (2007) <doi:10.1111/j.1468-0084.2007.00477.x>. The tests are based on structural rather than residual dynamics and allow for heterogeneity in both the long-run cointegrating relationship and the short-run dynamics. The package includes logic for automated lag and lead selection via AIC, Bartlett kernel long-run variance estimation, and a bootstrap procedure to handle cross-sectional dependence. It also includes a bootstrapping distribution visualization function for diagnostic purposes.

r-wingen 2.2.0
Propagated dependencies: r-viridis@0.6.5 r-vcfr@1.15.0 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-terra@1.8-86 r-sf@1.0-23 r-rlang@1.1.6 r-raster@3.6-32 r-purrr@1.2.0 r-pegas@1.3 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-hierfstat@0.5-11 r-gstat@2.1-4 r-ggplot2@4.0.1 r-gdistance@1.6.5 r-furrr@0.3.1 r-dplyr@1.1.4 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/AnushaPB/wingen
Licenses: Expat
Build system: r
Synopsis: Continuous Mapping of Genetic Diversity
Description:

Generate continuous maps of genetic diversity using moving windows with options for rarefaction, interpolation, and masking as described in Bishop et al. (2023) <doi:10.1111/2041-210X.14090>.

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-wru 3.0.3
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-purrr@1.2.0 r-pl94171@1.2.1 r-piggyback@0.1.5 r-future@1.68.0 r-furrr@0.3.1 r-dplyr@1.1.4 r-cli@3.6.5
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-wflo 1.9
Propagated dependencies: r-terra@1.8-86 r-sf@1.0-23 r-progress@1.2.3 r-plotrix@3.8-13 r-emstreer@3.1.3
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=wflo
Licenses: GPL 3
Build system: r
Synopsis: Data Set and Helper Functions for Wind Farm Layout Optimization Problems
Description:

This package provides a convenient data set, a set of helper functions, and a benchmark function for economically (profit) driven wind farm layout optimization. This enables researchers in the field of the NP-hard (non-deterministic polynomial-time hard) problem of wind farm layout optimization to focus on their optimization methodology contribution and also provides a realistic benchmark setting for comparability among contributions. See Croonenbroeck, Carsten & Hennecke, David (2020) <doi:10.1016/j.energy.2020.119244>.

r-wdi 2.7.9
Propagated dependencies: r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://vincentarelbundock.github.io/WDI/
Licenses: GPL 3
Build system: r
Synopsis: World Development Indicators and Other World Bank Data
Description:

Search and download data from over 40 databases hosted by the World Bank, including the World Development Indicators ('WDI'), International Debt Statistics, Doing Business, Human Capital Index, and Sub-national Poverty indicators.

r-whapi 0.0.2
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-stringi@1.8.7 r-readr@2.1.6 r-purrr@1.2.0 r-openssl@2.3.4 r-mime@0.13 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-httr2@1.2.1 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/StrategicProjects/whapi/
Licenses: Expat
Build system: r
Synopsis: R Client for 'whapi.cloud'
Description:

This package provides an R interface to the Whapi API <https://whapi.cloud>, enabling sending and receiving WhatsApp messages directly from R'. Functions include sending text, images, documents, stickers, geographic locations, and interactive messages (buttons and lists). Also includes webhook parsing utilities and channel health checks.

r-wa 1.0
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://sites.google.com/view/lmaowisc/
Licenses: GPL 2+
Build system: r
Synopsis: While-Alive Loss Rate for Recurrent Event in the Presence of Death
Description:

This package contains inferential and graphical routines for multi-group analysis of while-alive loss (or event) rate for possibly recurrent nonfatal event in the presence of death.

r-wrapr 2.1.0
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/WinVector/wrapr
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Wrap R Tools for Debugging and Parametric Programming
Description:

This package provides tools for writing and debugging R code. Provides: %.>% dot-pipe (an S3 configurable pipe), unpack/to (R style multiple assignment/return), build_frame()'/'draw_frame() ('data.frame example tools), qc() (quoting concatenate), := (named map builder), let() (converts non-standard evaluation interfaces to parametric standard evaluation interfaces, inspired by gtools::strmacro() and base::bquote()'), and more.

r-webdriver 1.0.6
Propagated dependencies: r-withr@3.0.2 r-showimage@1.0.0 r-r6@2.6.1 r-jsonlite@2.0.0 r-httr@1.4.7 r-debugme@1.2.0 r-curl@7.0.0 r-callr@3.7.6 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/rstudio/webdriver
Licenses: Expat
Build system: r
Synopsis: 'WebDriver' Client for 'PhantomJS'
Description:

This package provides a client for the WebDriver API'. It allows driving a (probably headless) web browser, and can be used to test web applications, including Shiny apps. In theory it works with any WebDriver implementation, but it was only tested with PhantomJS'.

r-whitestripe 2.5.0
Propagated dependencies: r-oro-nifti@0.11.4 r-neurobase@1.34.0 r-mgcv@1.9-4
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=WhiteStripe
Licenses: GPL 3
Build system: r
Synopsis: White Matter Normalization for Magnetic Resonance Images
Description:

Shinohara (2014) <doi:10.1016/j.nicl.2014.08.008> introduced WhiteStripe', an intensity-based normalization of T1 and T2 images, where normal appearing white matter performs well, but requires segmentation. This method performs white matter mean and standard deviation estimates on data that has been rigidly-registered to the MNI template and uses histogram-based methods.

r-waou 0.1.0
Propagated dependencies: r-survey@4.4-8 r-stringr@1.6.0 r-purrr@1.2.0 r-nonprobsvy@0.2.3 r-mice@3.18.0 r-glue@1.8.0 r-glmnet@4.1-10 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://cran.r-project.org/package=waou
Licenses: AGPL 3+
Build system: r
Synopsis: Weighting All of Us
Description:

Utilities for using a probability sample to reweight prevalence estimates calculated from the All of Us research program. Weighted estimates will still not be representative of the general U.S. population. However, they will provide an early indication for how unweighted estimates may be biased by the sampling bias in the All of Us sample.

r-whep 0.2.0
Propagated dependencies: r-zoo@1.8-14 r-yaml@2.3.10 r-withr@3.0.2 r-tidyr@1.3.1 r-stringr@1.6.0 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-pins@1.4.1 r-nanoparquet@0.4.2 r-mipfp@3.2.1 r-httr@1.4.7 r-fs@1.6.6 r-faostat@2.4.0 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://eduaguilera.github.io/whep/
Licenses: Expat
Build system: r
Synopsis: Processing Agro-Environmental Data
Description:

This package provides a set of tools for processing and analyzing data developed in the context of the "Who Has Eaten the Planet" (WHEP) project, funded by the European Research Council (ERC). For more details on multi-regional inputâ output model "Food and Agriculture Biomass Inputâ Output" (FABIO) see Bruckner et al. (2019) <doi:10.1021/acs.est.9b03554>.

r-weatherjoin 0.2.2
Propagated dependencies: r-jsonlite@2.0.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/hauae/weatherjoin
Licenses: Expat
Build system: r
Synopsis: Join Gridded Weather Data to Event Tables
Description:

High-level tools to attach gridded weather data from the NASA POWER Project to event-based datasets. The package plans efficient spatio-temporal API calls via the nasapower R package, caches downloaded segments locally, and joins weather variables back to the input table using exact or rolling joins. This package is not affiliated with or endorsed by NASA.

r-wufoor 1.0.1
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/dmpe/wufoor
Licenses: ASL 2.0
Build system: r
Synopsis: R Wrapper for the 'Wufoo.com' - The Form Building Service
Description:

Allows form managers to download entries from their respondents using Wufoo JSON API (<https://www.wufoo.com>). Additionally, the Wufoo reports - when public - can be also acquired programmatically. Note that building new forms within this package is not supported.

r-wineq 1.2.1
Propagated dependencies: r-sampling@2.11 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=wINEQ
Licenses: GPL 3
Build system: r
Synopsis: Inequality Measures for Weighted Data
Description:

Computes inequality measures of a given variable taking into account weights. Suitable for ratio, interval and ordered scale. Includes Gini, Theil, Leti index, Palma ratio, 20:20 ratio, Allison and Foster index, Jenkins index, Cowell and Flechaire index, Abul Naga and Yalcin index, Apouey index, Blair and Lacy index. Bootstrap provides distribution of inequality measures enabling significance tests.

r-wearables 0.11.3
Propagated dependencies: r-xts@0.14.1 r-waveslim@1.8.5 r-varian@0.2.2 r-sparklyr@1.9.3 r-signal@1.8-1 r-rlang@1.1.6 r-rhrv@5.0.0 r-r-utils@2.13.0 r-padr@0.6.3 r-magrittr@2.0.4 r-lubridate@1.9.4 r-kernlab@0.9-33 r-jsonlite@2.0.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=wearables
Licenses: GPL 2
Build system: r
Synopsis: Tools to Read and Convert Wearables Data
Description:

Package to read Empatica E4, Embrace Plus, and Nowatch data, perform several transformations, perform signal processing and analyses, including batch analyses.

r-waveletets 0.1.0
Propagated dependencies: r-wavelets@0.3-0.2 r-tseries@0.10-58 r-metrics@0.1.4 r-forecast@8.24.0 r-dplyr@1.1.4 r-caretforecast@0.1.3
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=WaveletETS
Licenses: GPL 3
Build system: r
Synopsis: Wavelet Based Error Trend Seasonality Model
Description:

ETS stands for Error, Trend, and Seasonality, and it is a popular time series forecasting method. Wavelet decomposition can be used for denoising, compression, and feature extraction of signals. By removing the high-frequency components, wavelet decomposition can remove noise from the data while preserving important features. A hybrid Wavelet ETS (Error Trend-Seasonality) model has been developed for time series forecasting using algorithm of Anjoy and Paul (2017) <DOI:10.1007/s00521-017-3289-9>.

r-wpp2008 1.0-1
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: http://esa.un.org/wpp/index.htm
Licenses: GPL 2+
Build system: r
Synopsis: World Population Prospects 2008
Description:

Data from the United Nation's World Population Prospects 2008.

r-wordpuzzler 0.1.1
Propagated dependencies: r-stringr@1.6.0 r-scales@1.4.0 r-purrr@1.2.0
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://github.com/zhuxr11/wordPuzzleR
Licenses: Expat
Build system: r
Synopsis: Word Puzzle Game
Description:

The word puzzle game requires you to find out the letters in a word within a limited number of guesses. In each round, if your guess hit any letters in the word, they reveal themselves. If all letters are revealed before your guesses run out, you win this game; otherwise you fail. You may run multiple games to guess different words.

r-weighted-desc-stat 1.0
Channel: guix-cran
Location: guix-cran/packages/w.scm (guix-cran packages w)
Home page: https://cran.r-project.org/package=Weighted.Desc.Stat
Licenses: LGPL 3+
Build system: r
Synopsis: Weighted Descriptive Statistics
Description:

Weighted descriptive statistics is the discipline of quantitatively describing the main features of real-valued fuzzy data which usually given from a fuzzy population. One can summarize this special kind of fuzzy data numerically or graphically using this package. To interpret some of the properties of one or several sets of real-valued fuzzy data, numerically summarize is possible by some weighted statistics which are designed in this package such as mean, variance, covariance and correlation coefficent. Also, graphically interpretation can be given by weighted histogram and weighted scatter plot using this package to describe properties of real-valued fuzzy data set.

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