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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-arpobservation 1.2.2
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=ARPobservation
Licenses: GPL 3
Build system: r
Synopsis: Tools for Simulating Direct Behavioral Observation Recording Procedures Based on Alternating Renewal Processes
Description:

This package provides tools for simulating data generated by direct observation recording. Behavior streams are simulated based on an alternating renewal process, given specified distributions of event durations and interim times. Different procedures for recording data can then be applied to the simulated behavior streams. Functions are provided for the following recording methods: continuous duration recording, event counting, momentary time sampling, partial interval recording, whole interval recording, and augmented interval recording.

r-argentum 1.0.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/thomasartopoulos/argentum/
Licenses: Expat
Build system: r
Synopsis: Access and Import WMS and WFS Data from Argentine Organizations
Description:

This package provides functions to retrieve information from Web Feature Service (WFS) and Web Map Service (WMS) layers from various Argentine organizations and import them into R for further analysis. WFS and WMS are standardized protocols for serving georeferenced map data over the internet. For more information on these services, see <https://www.ogc.org/publications/standard/wfs/> and <https://www.ogc.org/publications/standard/wms/>.

r-aftables 1.0.2
Propagated dependencies: r-pillar@1.11.1 r-openxlsx@4.2.8.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://best-practice-and-impact.github.io/aftables/
Licenses: Expat
Build system: r
Synopsis: Create Spreadsheet Publications Following Best Practice
Description:

Generate spreadsheet publications that follow best practice guidance from the UK government's Analysis Function, available at <https://analysisfunction.civilservice.gov.uk/policy-store/releasing-statistics-in-spreadsheets/>, with a focus on accessibility. See also the Python package gptables'.

r-assignpop 1.3.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/alexkychen/assignPOP
Licenses: GPL 2+
Build system: r
Synopsis: Population Assignment using Genetic, Non-Genetic or Integrated Data in a Machine Learning Framework
Description:

Use Monte-Carlo and K-fold cross-validation coupled with machine- learning classification algorithms to perform population assignment, with functionalities of evaluating discriminatory power of independent training samples, identifying informative loci, reducing data dimensionality for genomic data, integrating genetic and non-genetic data, and visualizing results.

r-adsorpr 0.1.0
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=AdsorpR
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Adsorption Isotherm Models
Description:

Model adsorption behavior using classical isotherms, including Langmuir, Freundlich, Brunauerâ Emmettâ Teller (BET), and Temkin models. The package supports parameter estimation through both linearized and non-linear fitting techniques and generates high-quality plots for model diagnostics. It is intended for environmental scientists, chemists, and researchers working on adsorption phenomena in soils, water treatment, and material sciences. Functions are compatible with base R and ggplot2 for visualization.

r-apathe 0.1.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/crsh/apathe
Licenses: Expat
Build system: r
Synopsis: American Psychological Association Thesis Templates for R Markdown
Description:

Facilitates writing computationally reproducible student theses in PDF format that conform to the American Psychological Association (APA) manuscript guidelines (6th Edition). The package currently provides two R Markdown templates for homework and theses at the Psychology Department of the University of Cologne. The package builds on the package papaja but is tailored to the requirements of student theses and omits features for simplicity.

r-art 1.0
Propagated dependencies: r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: http://decsai.ugr.es/~pjvi/r-packages.html
Licenses: LGPL 3+
Build system: r
Synopsis: Aligned Rank Transform for Nonparametric Factorial Analysis
Description:

An implementation of the Aligned Rank Transform technique for factorial analysis (see references below for details) including models with missing terms (unsaturated factorial models). The function first computes a separate aligned ranked response variable for each effect of the user-specified model, and then runs a classic ANOVA on each of the aligned ranked responses. For further details, see Higgins, J. J. and Tashtoush, S. (1994). An aligned rank transform test for interaction. Nonlinear World 1 (2), pp. 201-211. Wobbrock, J.O., Findlater, L., Gergle, D. and Higgins,J.J. (2011). The Aligned Rank Transform for nonparametric factorial analyses using only ANOVA procedures. Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 11). New York: ACM Press, pp. 143-146. <doi:10.1145/1978942.1978963>.

r-arcpullr 0.3.2
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=arcpullr
Licenses: GPL 3
Build system: r
Synopsis: Pull Data from an 'ArcGIS REST' API
Description:

This package provides functions to efficiently query ArcGIS REST APIs <https://developers.arcgis.com/rest/>. Both spatial and SQL queries can be used to retrieve data. Simple Feature (sf) objects are utilized to perform spatial queries. This package was neither produced nor is maintained by Esri.

r-aspace 4.1.2
Propagated dependencies: r-splancs@2.01-45 r-hmisc@5.2-4
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=aspace
Licenses: GPL 3
Build system: r
Synopsis: Functions for Estimating Centrographic Statistics
Description:

This package provides a collection of functions for computing centrographic statistics (e.g., standard distance, standard deviation ellipse, standard deviation box) for observations taken at point locations. Separate plotting functions have been developed for each measure. Users interested in writing results to ESRI shapefiles can do so by using results from aspace functions as inputs to the convert.to.shapefile() and write.shapefile() functions in the shapefiles library. We intend to provide terra integration for geographic data in a future release. The aspace package was originally conceived to aid in the analysis of spatial patterns of travel behaviour (see Buliung and Remmel 2008 <doi:10.1007/s10109-008-0063-7>).

r-azr 0.3.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://pedrobtz.github.io/azr/
Licenses: Expat
Build system: r
Synopsis: Credential Chain for Seamless 'OAuth 2.0' Authentication to 'Azure Services'
Description:

This package implements a credential chain for Azure OAuth 2.0 authentication based on the package httr2''s OAuth framework. Sequentially attempts authentication methods until one succeeds. During development allows interactive browser-based flows ('Device Code and Auth Code flows) and non-interactive flow ('Client Secret') in batch mode.

r-avocado 0.2.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/nikdata/avocado
Licenses: Expat
Build system: r
Synopsis: Weekly Hass Avocado Sales Summary
Description:

This package provides a weekly summary of Hass Avocado sales for the contiguous US from January 2017 through December 20204. See the package website for more information, documentation, and examples. Data source: Haas Avocado Board <https://hassavocadoboard.com/category-data/>.

r-arcgeocoder 0.3.0
Propagated dependencies: r-jsonlite@2.0.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://dieghernan.github.io/arcgeocoder/
Licenses: Expat
Build system: r
Synopsis: Geocoding with the 'ArcGIS' REST API Service
Description:

Lite interface for finding locations of addresses or businesses around the world using the ArcGIS REST API service <https://developers.arcgis.com/rest/geocode/api-reference/overview-world-geocoding-service.htm>. Address text can be converted to location candidates and a location can be converted into an address. No API key required.

r-ahnr 0.3.1
Propagated dependencies: r-visnetwork@2.1.4 r-purrr@1.2.0 r-pracma@2.4.6 r-pdist@1.2.1 r-matrixcalc@1.0-6 r-magrittr@2.0.4 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/jroberayalas/ahnr
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: An Implementation of the Artificial Hydrocarbon Networks
Description:

Implementation of the Artificial Hydrocarbon Networks for data modeling.

r-anylib 1.0.5
Propagated dependencies: r-withr@3.0.2 r-httr@1.4.7 r-devtools@2.4.6 r-curl@7.0.0 r-biocmanager@1.30.27
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=anyLib
Licenses: CC-BY-SA 4.0
Build system: r
Synopsis: Install and Load Any Package from CRAN, Bioconductor or Github
Description:

Made to make your life simpler with packages, by installing and loading a list of packages, whether they are on CRAN, Bioconductor or github. For github, if you do not have the full path, with the maintainer name in it (e.g. "achateigner/topReviGO"), it will be able to load it but not to install it.

r-admiral 1.4.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://pharmaverse.github.io/admiral/
Licenses: FSDG-compatible
Build system: r
Synopsis: ADaM in R Asset Library
Description:

This package provides a toolbox for programming Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam>).

r-ascotracer 0.0.1
Propagated dependencies: r-terra@1.8-86 r-sf@1.0-23 r-purrr@1.2.0 r-lutz@0.3.2 r-lubridate@1.9.4 r-data-table@1.17.8 r-circular@0.5-2
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/IhsanKhaliq/ascotraceR
Licenses: Expat
Build system: r
Synopsis: Simulate the Spread of Ascochyta Blight in Chickpea
Description:

This package provides a spatiotemporal model that simulates the spread of Ascochyta blight in chickpea fields based on location-specific weather conditions. This model is adapted from a model developed by Diggle et al. (2002) <doi:10.1094/PHYTO.2002.92.10.1110> for simulating the spread of anthracnose in a lupin field.

r-absorber 1.0
Propagated dependencies: r-sparsegl@1.1.1 r-matrix@1.7-4 r-mass@7.3-65 r-irlba@2.3.5.1 r-ggplot2@4.0.1 r-fda@6.3.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=absorber
Licenses: GPL 2
Build system: r
Synopsis: Variable Selection in Nonparametric Models using B-Splines
Description:

This package provides a variable selection method using B-Splines in multivariate nOnparametric Regression models Based on partial dErivatives Regularization (ABSORBER) implements a novel variable selection method in a nonlinear multivariate model using B-splines. For further details we refer the reader to the paper Savino, M. E. and Lévy-Leduc, C. (2024), <https://hal.science/hal-04434820>.

r-asciichartr 0.1.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=asciichartr
Licenses: Expat
Build system: r
Synopsis: Lightweight ASCII Line Graphs
Description:

Create ASCII line graphs of a time series directly on your terminal in an easy way. There are some configurations you can add to make the plot the way you like. This project was inspired by the original asciichart package by Igor Kroitor.

r-aion 1.7.0
Propagated dependencies: r-arkhe@1.11.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://codeberg.org/tesselle/aion
Licenses: GPL 3+
Build system: r
Synopsis: Archaeological Time Series
Description:

This package provides a toolkit for archaeological time series and time intervals. This package provides a system of classes and methods to represent and work with archaeological time series and time intervals. Dates are represented as "rata die" and can be converted to (virtually) any calendar defined by Reingold and Dershowitz (2018) <doi:10.1017/9781107415058>. This packages offers a simple API that can be used by other specialized packages.

r-acroname 0.1.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=acroname
Licenses: GPL 3
Build system: r
Synopsis: Engine for Acronyms and Initialisms
Description:

This package provides a tool for generating acronyms and initialisms from arbitrary text input.

r-adespatial 0.3-28
Propagated dependencies: r-vegan@2.7-2 r-spdep@1.4-1 r-sp@2.2-0 r-shiny@1.11.1 r-mass@7.3-65 r-lattice@0.22-7 r-adephylo@1.1-17 r-adegraphics@1.0-22 r-ade4@1.7-23
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/adeverse/adespatial
Licenses: GPL 2+
Build system: r
Synopsis: Multivariate Multiscale Spatial Analysis
Description:

This package provides tools for the multiscale spatial analysis of multivariate data. Several methods are based on the use of a spatial weighting matrix and its eigenvector decomposition (Moran's Eigenvectors Maps, MEM). Several approaches are described in the review Dray et al (2012) <doi:10.1890/11-1183.1>.

r-aerobiology 2.0.2
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=AeRobiology
Licenses: GPL 3
Build system: r
Synopsis: Computational Tool for Aerobiological Data
Description:

Different tools for managing databases of airborne particles, elaborating the main calculations and visualization of results. In a first step, data are checked using tools for quality control and all missing gaps are completed. Then, the main parameters of the pollen season are calculated and represented graphically. Multiple graphical tools are available: pollen calendars, phenological plots, time series, tendencies, interactive plots, abundance plots...

r-autocovariateselection 1.0.0
Propagated dependencies: r-purrr@1.2.0 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/technOslerphile/autoCovariateSelection
Licenses: Expat
Build system: r
Synopsis: Automated Covariate Selection Using HDPS Algorithm
Description:

This package contains functions to implement automated covariate selection using methods described in the high-dimensional propensity score (HDPS) algorithm by Schneeweiss et.al. Covariate adjustment in real-world-observational-data (RWD) is important for for estimating adjusted outcomes and this can be done by using methods such as, but not limited to, propensity score matching, propensity score weighting and regression analysis. While these methods strive to statistically adjust for confounding, the major challenge is in selecting the potential covariates that can bias the outcomes comparison estimates in observational RWD (Real-World-Data). This is where the utility of automated covariate selection comes in. The functions in this package help to implement the three major steps of automated covariate selection as described by Schneeweiss et. al elsewhere. These three functions, in order of the steps required to execute automated covariate selection are, get_candidate_covariates(), get_recurrence_covariates() and get_prioritised_covariates(). In addition to these functions, a sample real-world-data from publicly available de-identified medical claims data is also available for running examples and also for further exploration. The original article where the algorithm is described by Schneeweiss et.al. (2009) <doi:10.1097/EDE.0b013e3181a663cc> .

r-adestr 1.0.0
Propagated dependencies: r-scales@1.4.0 r-rdpack@2.6.4 r-progressr@0.18.0 r-latex2exp@0.9.6 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-future-apply@1.20.0 r-forcats@1.0.1 r-cubature@2.1.4-1 r-adoptr@1.1.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://jan-imbi.github.io/adestr/
Licenses: GPL 2+
Build system: r
Synopsis: Estimation in Optimal Adaptive Two-Stage Designs
Description:

This package provides methods to evaluate the performance characteristics of various point and interval estimators for optimal adaptive two-stage designs as described in Meis et al. (2024) <doi:10.1002/sim.10020>. Specifically, this package is written to work with trial designs created by the adoptr package (Kunzmann et al. (2021) <doi:10.18637/jss.v098.i09>; Pilz et al. (2021) <doi:10.1002/sim.8953>)). Apart from the a priori evaluation of performance characteristics, this package also allows for the evaluation of the implemented estimators on real datasets, and it implements methods to calculate p-values.

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Total results: 69112