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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-cropzoning 1.0.3
Propagated dependencies: r-tidyr@1.3.1 r-terra@1.8-86 r-sf@1.0-23 r-ncdf4@1.24 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cropZoning
Licenses: FSDG-compatible
Synopsis: Climate Crop Zoning Based in Air Temperature for Brazil
Description:

Climate crop zoning based in minimum and maximum air temperature. The data used in the package are from TerraClimate dataset (<https://www.climatologylab.org/terraclimate.html>), but, it have been calibrated with automatic weather stations of National Meteorological Institute of Brazil. The climate crop zoning of this package can be run for all the Brazilian territory.

r-colornamer 0.1.0
Propagated dependencies: r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/msanchez-beeckman/ColorNameR
Licenses: Expat
Synopsis: Give Colors a Name
Description:

This package provides a tool for transforming coordinates in a color space to common color names using data from the Royal Horticultural Society and the International Union for the Protection of New Varieties of Plants.

r-constants 2022.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/r-quantities/constants
Licenses: Expat
Synopsis: Reference on Constants, Units and Uncertainty
Description:

CODATA internationally recommended values of the fundamental physical constants, provided as symbols for direct use within the R language. Optionally, the values with uncertainties and/or units are also provided if the errors', units and/or quantities packages are installed. The Committee on Data for Science and Technology (CODATA) is an interdisciplinary committee of the International Council for Science which periodically provides the internationally accepted set of values of the fundamental physical constants. This package contains the "2022 CODATA" version, published on May 2024: Eite Tiesinga, Peter J. Mohr, David B. Newell, and Barry N. Taylor (2024) <https://physics.nist.gov/cuu/Constants/>.

r-covid19br 1.0.0.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-sf@1.0-23 r-rlang@1.1.6 r-httr2@1.2.1 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://fndemarqui.github.io/covid19br/
Licenses: Expat
Synopsis: Brazilian COVID-19 Pandemic Data
Description:

Set of functions to import COVID-19 pandemic data into R. The Brazilian COVID-19 data, obtained from the official Brazilian repository at <https://covid.saude.gov.br/>, is available at the country, region, state, and city levels. The package also downloads world-level COVID-19 data from Johns Hopkins University's repository. COVID-19 data is available from the start of follow-up until to May 5, 2023, when the World Health Organization (WHO) declared an end to the Public Health Emergency of International Concern (PHEIC) for COVID-19.

r-cba 0.2-25
Propagated dependencies: r-proxy@0.4-27
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cba
Licenses: GPL 2
Synopsis: Clustering for Business Analytics
Description:

This package implements clustering techniques such as Proximus and Rock, utility functions for efficient computation of cross distances and data manipulation.

r-catalog 0.1.1
Propagated dependencies: r-sparklyr@1.9.3 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://nathaneastwood.github.io/catalog/
Licenses: GPL 2+
Synopsis: Access the 'Spark Catalog' API via 'sparklyr'
Description:

Gain access to the Spark Catalog API making use of the sparklyr API. Catalog <https://spark.apache.org/docs/2.4.3/api/java/org/apache/spark/sql/catalog/Catalog.html> is the interface for managing a metastore (aka metadata catalog) of relational entities (e.g. database(s), tables, functions, table columns and temporary views).

r-comradesm 0.1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ComradesM
Licenses: GPL 2+
Synopsis: The Comrades Marathon 1921 to 2019
Description:

Datasets related to the Comrades Marathon used in the book Antony Unwin (2024, ISBN:978-0367674007) "Getting (more out of) Graphics". The main dataset contains the times of every runner that finished in the time limit for each year the race was run.

r-ccdr 1.1.0
Propagated dependencies: r-urltools@1.7.3.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-jsonlite@2.0.0 r-httr@1.4.7 r-data-table@1.17.8 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/USEPA/ccdR
Licenses: GPL 3+
Synopsis: Utilities for Interacting with the 'CTX' APIs
Description:

Access chemical, hazard, bioactivity, and exposure data from the Computational Toxicology and Exposure ('CTX') APIs <https://api-ccte.epa.gov/docs/>. ccdR was developed to streamline the process of accessing the information available through the CTX APIs without requiring prior knowledge of how to use APIs. Most data is also available on the CompTox Chemical Dashboard ('CCD') <https://comptox.epa.gov/dashboard/> and other resources found at the EPA Computational Toxicology and Exposure Online Resources <https://www.epa.gov/comptox-tools>.

r-corect 1.3.3
Propagated dependencies: r-raster@3.6-32 r-plyr@1.8.9 r-oro-dicom@0.5.3 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/troyhill/coreCT
Licenses: GPL 3
Synopsis: Programmatic Analysis of Sediment Cores Using Computed Tomography Imaging
Description:

Computed tomography (CT) imaging is a powerful tool for understanding the composition of sediment cores. This package streamlines and accelerates the analysis of CT data generated in the context of environmental science. Included are tools for processing raw DICOM images to characterize sediment composition (sand, peat, etc.). Root analyses are also enabled, including measures of external surface area and volumes for user-defined root size classes. For a detailed description of the application of computed tomography imaging for sediment characterization, see: Davey, E., C. Wigand, R. Johnson, K. Sundberg, J. Morris, and C. Roman. (2011) <DOI: 10.1890/10-2037.1>.

r-cleanet 1.0.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-reshape2@1.4.5 r-readr@2.1.6 r-rcpphnsw@0.6.0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=Cleanet
Licenses: GPL 3
Synopsis: Automated Doublet Detection and Classification for Cytometry Data
Description:

Automated method for doublet detection in flow or mass cytometry data, based on simulating doublets and finding events whose protein expression patterns are similar to the simulated doublets.

r-chatrater 1.2.0
Propagated dependencies: r-openai@0.4.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=chatRater
Licenses: Expat
Synopsis: Tool for Rating Text/Image Stimuli
Description:

Evaluates stimuli using Large Language Models APIs with URL support.

r-csvwr 0.1.7
Propagated dependencies: r-stringr@1.6.0 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://robsteranium.github.io/csvwr/
Licenses: GPL 3
Synopsis: Read and Write CSV on the Web (CSVW) Tables and Metadata
Description:

Provide functions for reading and writing CSVW - i.e. CSV tables and JSON metadata. The metadata helps interpret CSV by setting the types and variable names.

r-callsync 0.2.3
Propagated dependencies: r-tuner@1.4.7 r-stringr@1.6.0 r-signal@1.8-1 r-seewave@2.2.4 r-scales@1.4.0 r-oce@1.8-3 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/simeonqs/callsync
Licenses: GPL 3
Synopsis: Recording Synchronisation, Call Detection and Assignment, Audio Analysis
Description:

Intended to analyse recordings from multiple microphones (e.g., backpack microphones in captive setting). It allows users to align recordings even if there is non-linear drift of several minutes between them. A call detection and assignment pipeline can be used to find vocalisations and assign them to the vocalising individuals (even if the vocalisation is picked up on multiple microphones). The tracing and measurement functions allow for detailed analysis of the vocalisations and filtering of noise. Finally, the package includes a function to run spectrographic cross correlation, which can be used to compare vocalisations. It also includes multiple other functions related to analysis of vocal behaviour.

r-causalimpact 1.4.1
Propagated dependencies: r-zoo@1.8-14 r-ggplot2@4.0.1 r-bsts@0.9.11 r-boom@0.9.16 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://google.github.io/CausalImpact/
Licenses: ASL 2.0 FSDG-compatible
Synopsis: Inferring Causal Effects using Bayesian Structural Time-Series Models
Description:

This package implements a Bayesian approach to causal impact estimation in time series, as described in Brodersen et al. (2015) <DOI:10.1214/14-AOAS788>. See the package documentation on GitHub <https://google.github.io/CausalImpact/> to get started.

r-certara-darwinreporter 2.0.1
Propagated dependencies: r-xpose@0.4.22 r-tidyr@1.3.1 r-sortable@0.6.0 r-shinywidgets@0.9.0 r-shinytree@0.3.1 r-shinymeta@0.2.1 r-shinyjs@2.1.0 r-shinyjqui@0.4.1 r-shinyace@0.4.4 r-shiny@1.11.1 r-scales@1.4.0 r-plotly@4.11.0 r-jsonlite@2.0.0 r-ggplot2@4.0.1 r-flextable@0.9.10 r-dt@0.34.0 r-dplyr@1.1.4 r-colourpicker@1.3.0 r-certara-xpose-nlme@2.0.2 r-bslib@0.9.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://certara.github.io/R-DarwinReporter/
Licenses: LGPL 3
Synopsis: Data Visualization Utilities for 'pyDarwin' Machine Learning Pharmacometric Model Development
Description:

Utilize the shiny interface for visualizing results from a pyDarwin (<https://certara.github.io/pyDarwin/>) machine learning pharmacometric model search. It generates Goodness-of-Fit plots and summary tables for selected models, allowing users to customize diagnostic outputs within the interface. The underlying R code for generating plots and tables can be extracted for use outside the interactive session. Model diagnostics can also be incorporated into an R Markdown document and rendered in various output formats.

r-corclass 0.2.1
Propagated dependencies: r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=corclass
Licenses: GPL 2
Synopsis: Correlational Class Analysis
Description:

Perform a correlational class analysis of the data, resulting in a partition of the data into separate modules.

r-convergencedfm 0.1.4
Propagated dependencies: r-zoo@1.8-14 r-vars@1.6-1 r-urca@1.3-4 r-tidyr@1.3.1 r-stringr@1.6.0 r-readxl@1.4.5 r-pls@2.8-5 r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=convergenceDFM
Licenses: GPL 3
Synopsis: Convergence and Dynamic Factor Models
Description:

Tests convergence in macro-financial panels combining Dynamic Factor Models (DFM) and mean-reverting Ornstein-Uhlenbeck (OU) processes. Provides: (i) static/approximate DFMs for large panels with VAR/VECM stability checks, Portmanteau tests and rolling out-of-sample R^2, following Stock and Watson (2002) <doi:10.1198/073500102317351921> and the Generalized Dynamic Factor Model of Forni, Hallin, Lippi and Reichlin (2000) <doi:10.1162/003465300559037>; (ii) cointegration analysis à la Johansen (1988) <doi:10.1016/0165-1889(88)90041-3>; (iii) OU-based convergence and half-life summaries grounded in Uhlenbeck and Ornstein (1930) <doi:10.1103/PhysRev.36.823> and Vasicek (1977) <doi:10.1016/0304-405X(77)90016-2>; (iv) robust inference via sandwich HC/HAC estimators (Zeileis (2004) <doi:10.18637/jss.v011.i10>) and regression diagnostics ('lmtest'); and (v) optional PLS-based factor preselection (Mevik and Wehrens (2007) <doi:10.18637/jss.v018.i02>). Functions emphasize reproducibility and clear, publication-ready summaries.

r-cookies 0.2.3
Propagated dependencies: r-vctrs@0.6.5 r-shiny@1.11.1 r-rlang@1.1.6 r-purrr@1.2.0 r-jsonlite@2.0.0 r-httpuv@1.6.16 r-htmltools@0.5.8.1 r-glue@1.8.0 r-clock@0.7.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/r4ds/cookies
Licenses: Expat
Synopsis: Use Browser Cookies with 'shiny'
Description:

Browser cookies are name-value pairs that are saved in a user's browser by a website. Cookies allow websites to persist information about the user and their use of the website. Here we provide tools for working with cookies in shiny apps, in part by wrapping the js-cookie JavaScript library <https://github.com/js-cookie/js-cookie>.

r-calcthemall-prm 1.1.1
Propagated dependencies: r-zoo@1.8-14 r-vgam@1.1-13 r-plotly@4.11.0 r-mass@7.3-65 r-magrittr@2.0.4 r-lubridate@1.9.4 r-dt@0.34.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CalcThemAll.PRM
Licenses: GPL 3+
Synopsis: Calculate Pesticide Risk Metric (PRM) Values from Multiple Pesticides...Calc Them All
Description:

This package contains functions which can be used to calculate Pesticide Risk Metric values in aquatic environments from concentrations of multiple pesticides with known species sensitive distributions (SSDs). Pesticides provided by this package have all be validated however if the user has their own pesticides with SSD values they can append them to the pesticide_info table to include them in estimates.

r-catirt 0.5.1
Propagated dependencies: r-numderiv@2016.8-1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/swnydick/catIrt
Licenses: GPL 2+
Synopsis: Simulate IRT-Based Computerized Adaptive Tests
Description:

This package provides functions designed to simulate data that conform to basic unidimensional IRT models (for now 3-parameter binary response models and graded response models) along with Post-Hoc CAT simulations of those models given various item selection methods, ability estimation methods, and termination criteria. See Wainer (2000) <doi:10.4324/9781410605931>, van der Linden & Pashley (2010) <doi:10.1007/978-0-387-85461-8_1>, and Eggen (1999) <doi:10.1177/01466219922031365> for more details.

r-caiser 1.0.17
Propagated dependencies: r-pbmcapply@1.5.1 r-gridextra@2.3 r-ggplot2@4.0.1 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://fcampelo.github.io/CAISEr/
Licenses: GPL 2
Synopsis: Comparison of Algorithms with Iterative Sample Size Estimation
Description:

This package provides functions for performing experimental comparisons of algorithms using adequate sample sizes for power and accuracy. Implements the methodology originally presented in Campelo and Takahashi (2019) <doi:10.1007/s10732-018-9396-7> for the comparison of two algorithms, and later generalised in Campelo and Wanner (Submitted, 2019) <arxiv:1908.01720>.

r-chantrics 1.0.0
Propagated dependencies: r-sandwich@3.1-1 r-rlang@1.1.6 r-purrr@1.2.0 r-progress@1.2.3 r-lmtest@0.9-40 r-chandwich@1.1.6 r-aer@1.2-15
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://chantrics.theobruckbauer.eu
Licenses: FSDG-compatible
Synopsis: Loglikelihood Adjustments for Econometric Models
Description:

Adjusts the loglikelihood of common econometric models for clustered data based on the estimation process suggested in Chandler and Bate (2007) <doi:10.1093/biomet/asm015>, using the chandwich package <https://cran.r-project.org/package=chandwich>, and provides convenience functions for inference on the adjusted models.

r-chemdeg 0.1.4
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/migliomatte/chemdeg
Licenses: GPL 3+
Synopsis: Analysis of Chemical Degradation Kinetic Data
Description:

This package provides a collection of functions that have been developed to assist experimenter in modeling chemical degradation kinetic data. The selection of the appropriate degradation model and parameter estimation is carried out automatically as far as possible and is driven by a rigorous statistical interpretation of the results. The package integrates already available goodness-of-fit statistics for nonlinear models. In addition it allows data fitting with the nonlinear first-order multi-target (FOMT) model.

r-charisma 1.0.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-recolorize@0.2.0 r-purrr@1.2.0 r-png@0.1-8 r-plyr@1.8.9 r-magrittr@2.0.4 r-jpeg@0.1-11 r-imager@1.0.5 r-dplyr@1.1.4 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/shawntz/charisma
Licenses: Expat
Synopsis: Reproducible Color Characterization of Digital Images for Biological Studies
Description:

This package provides a standardized and reproducible framework for characterizing and classifying discrete color classes from digital images of biological organisms. The package automatically determines the presence or absence of 10 human-visible color categories (black, blue, brown, green, grey, orange, purple, red, white, yellow) using a biologically-inspired Color Look-Up Table (CLUT) that partitions HSV color space. Supports both fully automated and semi-automated (interactive) workflows with complete provenance tracking for reproducibility. Pre-processes images using the recolorize package (Weller et al. 2024 <doi:10.1111/ele.14378>) for spatial-color binning, and integrates with pavo (Maia et al. 2019 <doi:10.1111/2041-210X.13174>) for color pattern geometry statistics. Designed for high-throughput analysis and seamless integration with downstream evolutionary analyses.

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