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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-evapore 1.0.1
Dependencies: proj@9.3.1 gdal@3.8.2
Propagated dependencies: r-twc@0.0.2 r-raster@3.6-32 r-lubridate@1.9.4 r-foreach@1.5.2 r-doparallel@1.0.17 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/AkbarR1184/evapoRe
Licenses: GPL 3
Synopsis: Evapotranspiration R Recipes
Description:

An R-based application for exploratory data analysis of global EvapoTranspiration (ET) datasets. evapoRe enables users to download, validate, visualize, and analyze multi-source ET data across various spatio-temporal scales. Also, the package offers calculation methods for estimating potential ET (PET), including temperature-based, combined type, and radiation-based approaches described in : Oudin et al., (2005) <doi:10.1016/j.jhydrol.2004.08.026>. evapoRe supports hydrological modeling, climate studies, agricultural research, and other data-driven fields by facilitating access to ET data and offering powerful analysis capabilities. Users can seamlessly integrate the package into their research applications and explore diverse ET data at different resolutions.

r-educationdata 0.1.5
Propagated dependencies: r-readr@2.1.6 r-jsonlite@2.0.0 r-httr@1.4.7 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://urbaninstitute.github.io/education-data-package-r/
Licenses: Expat
Synopsis: Retrieve Records from the Urban Institute's Education Data Portal API
Description:

Allows R users to retrieve and parse data from the Urban Institute's Education Data API <https://educationdata.urban.org/> into a data.frame for analysis.

r-efa-mrfa 1.1.2
Propagated dependencies: r-scales@1.4.0 r-reshape2@1.4.5 r-psych@2.5.6 r-pcovr@2.7.2 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EFA.MRFA
Licenses: GPL 3
Synopsis: Dimensionality Assessment Using Minimum Rank Factor Analysis
Description:

This package performs parallel analysis (Timmerman & Lorenzo-Seva, 2011 <doi:10.1037/a0023353>) and hull method (Lorenzo-Seva, Timmerman, & Kiers, 2011 <doi:10.1080/00273171.2011.564527>) for assessing the dimensionality of a set of variables using minimum rank factor analysis (see ten Berge & Kiers, 1991 <doi:10.1007/BF02294464> for more information). The package also includes the option to compute minimum rank factor analysis by itself, as well as the greater lower bound calculation.

r-easynem 1.0.3
Propagated dependencies: r-vegan@2.7-2 r-tidyr@1.3.1 r-tibble@3.3.0 r-ternary@2.3.5 r-shinydashboard@0.7.3 r-shiny@1.11.1 r-rstatix@0.7.3 r-rlang@1.1.6 r-reshape2@1.4.5 r-readr@2.1.6 r-multcompview@0.1-10 r-igraph@2.2.1 r-ggraph@2.2.2 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dt@0.34.0 r-dplyr@1.1.4 r-broom@1.0.10 r-agricolae@1.3-7
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=easynem
Licenses: Expat
Synopsis: Nematode Community Analysis
Description:

This package provides a built-in Nemaplex database for nematodes, which can be used to search for various nematodes. Also supports various nematode community and functional analyses such as nematode diversity, maturity index, metabolic footprint, and functional guild. The methods are based on <https://shiny.wur.nl/ninja/>, Bongers, T. (1990) <doi:10.1007/BF00324627>, Ferris, H. (2010) <doi:10.1016/j.ejsobi.2010.01.003>, Wan, B. et al. (2022) <doi:10.1016/j.soilbio.2022.108695>, and Van Den Hoogen, J. et al. (2019) <doi:10.1038/s41586-019-1418-6>.

r-eph 1.0.2
Propagated dependencies: r-zoo@1.8-14 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-readxl@1.4.5 r-purrr@1.2.0 r-leaflet@2.2.3 r-httr@1.4.7 r-htmltools@0.5.8.1 r-expss@0.11.7 r-dplyr@1.1.4 r-curl@7.0.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/ropensci/eph
Licenses: Expat
Synopsis: Argentina's Permanent Household Survey Data and Manipulation Utilities
Description:

This package provides tools to download and manipulate the Permanent Household Survey from Argentina (EPH is the Spanish acronym for Permanent Household Survey). e.g: get_microdata() for downloading the datasets, get_poverty_lines() for downloading the official poverty baskets, calculate_poverty() for the calculation of stating if a household is in poverty or not, following the official methodology. organize_panels() is used to concatenate observations from different periods, and organize_labels() adds the official labels to the data. The implemented methods are based on INDEC (2016) <http://www.estadistica.ec.gba.gov.ar/dpe/images/SOCIEDAD/EPH_metodologia_22_pobreza.pdf>. As this package works with the argentinian Permanent Household Survey and its main audience is from this country, the documentation was written in Spanish.

r-equalden-hd 1.2.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=Equalden.HD
Licenses: GPL 2
Synopsis: Testing the Equality of a High Dimensional Set of Densities
Description:

The equality of a large number k of densities is tested by measuring the L2 distance between the corresponding kernel density estimators and the one based on the pooled sample. The test even works for sample sizes as small as 2.

r-epiparameter 0.4.1
Propagated dependencies: r-rlang@1.1.6 r-pillar@1.11.1 r-lifecycle@1.0.4 r-epiparameterdb@0.1.0 r-distributional@0.5.0 r-distcrete@1.0.3 r-cli@3.6.5 r-checkmate@2.3.3 r-cachem@1.1.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/epiverse-trace/epiparameter/
Licenses: Expat
Synopsis: Classes and Helper Functions for Working with Epidemiological Parameters
Description:

This package provides classes and helper functions for loading, extracting, converting, manipulating, plotting and aggregating epidemiological parameters for infectious diseases. Epidemiological parameters extracted from the literature are loaded from the epiparameterDB R package.

r-ectotemp 0.2.0
Propagated dependencies: r-psych@2.5.6 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://CRAN.R-project.org/package=ectotemp
Licenses: Expat
Synopsis: Quantitative Estimates of Small Ectotherm Temperature Regulation Effectiveness
Description:

Easy and rapid quantitative estimation of small terrestrial ectotherm temperature regulation effectiveness in R. ectotemp is built on classical formulas that evaluate temperature regulation by means of various indices, inaugurated by Hertz et al. (1993) <doi: 10.1086/285573>. Options for bootstrapping and permutation testing are included to test hypotheses about divergence between organisms, species or populations.

r-evabic 0.1.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://abichat.github.io/evabic/
Licenses: GPL 3
Synopsis: Evaluation of Binary Classifiers
Description:

Evaluates the performance of binary classifiers. Computes confusion measures (TP, TN, FP, FN), derived measures (TPR, FDR, accuracy, F1, DOR, ..), and area under the curve. Outputs are well suited for nested dataframes.

r-econandprodefficiency 0.1.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EconAndProdEfficiency
Licenses: GPL 3
Synopsis: Economic and Production Efficiency
Description:

Production efficiency and economic efficiency are crucial concepts in agriculture/horticulture for sustainable and profitable practices. It helps to determine the optimal use of resources to maximize outputs and profitability. Production efficiency focuses on the optimal use of resources to produce goods, while economic efficiency ensures these goods are produced and allocated in a way that maximizes economic welfare. Production efficiency and economic efficiency are calculated with the help of the formula given by (Kumar et al., 2017) <doi:10.21921/jas.v4i04.10202>.

r-eurostat 4.0.0
Propagated dependencies: r-xml2@1.5.0 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-stringi@1.8.7 r-rlang@1.1.6 r-regions@0.1.8 r-refmanager@1.4.0 r-readr@2.1.6 r-rappdirs@0.3.3 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-isoweek@0.6-2 r-httr2@1.2.1 r-dplyr@1.1.4 r-digest@0.6.39 r-data-table@1.17.8 r-curl@7.0.0 r-countrycode@1.6.1 r-classint@0.4-11
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://ropengov.github.io/eurostat/
Licenses: FreeBSD
Synopsis: Tools for Eurostat Open Data
Description:

This package provides tools to download data from the Eurostat database <https://ec.europa.eu/eurostat> together with search and manipulation utilities.

r-ept 0.7.6
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EPT
Licenses: GPL 3+
Synopsis: Ensemble Patch Transform, Visualization and Decomposition
Description:

For multiscale analysis, this package carries out ensemble patch transform, its visualization and multiscale decomposition. The detailed procedure is described in Kim et al. (2020), and Oh and Kim (2020). D. Kim, G. Choi, H.-S. Oh, Ensemble patch transformation: a flexible framework for decomposition and filtering of signal, EURASIP Journal on Advances in Signal Processing 30 (2020) 1-27 <doi:10.1186/s13634-020-00690-7>. H.-S. Oh, D. Kim, Image decomposition by bidimensional ensemble patch transform, Pattern Recognition Letters 135 (2020) 173-179 <doi:10.1016/j.patrec.2020.03.029>.

r-eyedata 0.1.0
Propagated dependencies: r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/tjebo/eyedata
Licenses: Expat
Synopsis: Open Source Ophthalmic Data Sets Curated for R
Description:

Open source data allows for reproducible research and helps advance our knowledge. The purpose of this package is to collate open source ophthalmic data sets curated for direct use. This is real life data of people with intravitreal injections with anti-vascular endothelial growth factor (anti-VEGF), due to age-related macular degeneration or diabetic macular edema. Associated publications of the data sets: Fu et al. (2020) <doi:10.1001/jamaophthalmol.2020.5044>, Moraes et al (2020) <doi:10.1016/j.ophtha.2020.09.025>, Fasler et al. (2019) <doi:10.1136/bmjopen-2018-027441>, Arpa et al. (2020) <doi:10.1136/bjophthalmol-2020-317161>, Kern et al. 2020, <doi:10.1038/s41433-020-1048-0>.

r-estcrm 1.6
Propagated dependencies: r-lattice@0.22-7 r-hmisc@5.2-4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cengiz.me/
Licenses: GPL 2+
Synopsis: Calibrating Parameters for the Samejima's Continuous IRT Model
Description:

Estimates item and person parameters for the Continuous Response Model (CRM; Samejima, 1973, <doi:10.1007/BF02291114>), computes item fit residual statistics, draws empirical 3D item category response curves, draws theoretical 3D item category response curves, and generates data under the CRM for simulation studies.

r-eve 1.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=eve
Licenses: GPL 2+
Synopsis: The Eigenvalues Entropy as a Classifier Evaluation Measure
Description:

The confusion matrix (CM) is used to get a classifier's evaluation measure in order to select a method among many. A stochastic matrix and its transformation are computed from the CM. The eigenvalues of the transformed symmetric matrix are used to get an entropy which appears to be a good evaluation measure. Many other measures, commonly used, are provided for comparison purpose.

r-envnj 0.1.3
Propagated dependencies: r-stringr@1.6.0 r-seqinr@4.2-36 r-philentropy@0.10.0 r-phangorn@2.12.1 r-bio3d@2.4-5 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EnvNJ
Licenses: GPL 2+
Synopsis: Whole Genome Phylogenies Using Sequence Environments
Description:

This package contains utilities for the analysis of protein sequences in a phylogenetic context. Allows the generation of phylogenetic trees base on protein sequences in an alignment-independent way. Two different methods have been implemented. One approach is based on the frequency analysis of n-grams, previously described in Stuart et al. (2002) <doi:10.1093/bioinformatics/18.1.100>. The other approach is based on the species-specific neighborhood preference around amino acids. Features include the conversion of a protein set into a vector reflecting these neighborhood preferences, pairwise distances (dissimilarity) between these vectors, and the generation of trees based on these distance matrices.

r-elastic 1.2.0
Propagated dependencies: r-r6@2.6.1 r-jsonlite@2.0.0 r-curl@7.0.0 r-crul@1.6.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://docs.ropensci.org/elastic/
Licenses: Expat
Synopsis: General Purpose Interface to 'Elasticsearch'
Description:

Connect to Elasticsearch', a NoSQL database built on the Java Virtual Machine. Interacts with the Elasticsearch HTTP API (<https://www.elastic.co/elasticsearch/>), including functions for setting connection details to Elasticsearch instances, loading bulk data, searching for documents with both HTTP query variables and JSON based body requests. In addition, elastic provides functions for interacting with API's for indices', documents, nodes, clusters, an interface to the cat API, and more.

r-expss 0.11.7
Propagated dependencies: r-matrixstats@1.5.0 r-maditr@0.8.6 r-htmltable@2.4.3 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://gdemin.github.io/expss/
Licenses: GPL 2+
Synopsis: Tables, Labels and Some Useful Functions from Spreadsheets and 'SPSS' Statistics
Description:

Package computes and displays tables with support for SPSS'-style labels, multiple and nested banners, weights, multiple-response variables and significance testing. There are facilities for nice output of tables in knitr', Shiny', *.xlsx files, R and Jupyter notebooks. Methods for labelled variables add value labels support to base R functions and to some functions from other packages. Additionally, the package brings popular data transformation functions from SPSS Statistics and Excel': RECODE', COUNT', COUNTIF', VLOOKUP and etc. These functions are very useful for data processing in marketing research surveys. Package intended to help people to move data processing from Excel and SPSS to R.

r-ecocomdp 1.3.2
Propagated dependencies: r-xml2@1.5.0 r-uuid@1.2-1 r-tidyr@1.3.1 r-stringr@1.6.0 r-rmarkdown@2.30 r-rlang@1.1.6 r-rcolorbrewer@1.1-3 r-neonutilities@3.0.2 r-neonos@1.1.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-httr@1.4.7 r-ggplot2@4.0.1 r-geosphere@1.5-20 r-emld@0.5.2 r-eml@2.0.7 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/EDIorg/ecocomDP
Licenses: Expat
Synopsis: Tools to Create, Use, and Convert ecocomDP Data
Description:

Work with the Ecological Community Data Design Pattern. ecocomDP is a flexible data model for harmonizing ecological community surveys, in a research question agnostic format, from source data published across repositories, and with methods that keep the derived data up-to-date as the underlying sources change. Described in O'Brien et al. (2021), <doi:10.1016/j.ecoinf.2021.101374>.

r-elsa 1.1-28
Propagated dependencies: r-sp@2.2-0 r-raster@3.6-32
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: http://r-gis.net
Licenses: GPL 3+
Synopsis: Entropy-Based Local Indicator of Spatial Association
Description:

This package provides a framework that provides the methods for quantifying entropy-based local indicator of spatial association (ELSA) that can be used for both continuous and categorical data. In addition, this package offers other methods to measure local indicators of spatial associations (LISA). Furthermore, global spatial structure can be measured using a variogram-like diagram, called entrogram. For more information, please check that paper: Naimi, B., Hamm, N. A., Groen, T. A., Skidmore, A. K., Toxopeus, A. G., & Alibakhshi, S. (2019) <doi:10.1016/j.spasta.2018.10.001>.

r-efred 0.1.0
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=eFRED
Licenses: Expat
Synopsis: Fetch Data from the Federal Reserve Economic Database
Description:

Interact with the FRED API, <https://fred.stlouisfed.org/docs/api/fred/>, to fetch observations across economic series; find information about different economic sources, releases, series, etc.; conduct searches by series name, attributes, or tags; and determine the latest updates. Includes functions for creating panels of related variables with minimal effort and datasets containing data sources, releases, and popular FRED tags.

r-erlangc 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-shiny@1.11.1 r-lubridate@1.9.4 r-gmp@0.7-5 r-dt@0.34.0 r-bslib@0.9.0 r-bsicons@0.1.2
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ErlangC
Licenses: Expat
Synopsis: Solve Erlang-C Model
Description:

This package provides a set of functions to solve Erlang-C model. The Erlang C formula was invented by the Danish Mathematician A.K. Erlang and is used to calculate the number of advisors and the service level.

r-ergm 4.10.1
Propagated dependencies: r-trust@0.1-8 r-tibble@3.3.0 r-stringr@1.6.0 r-statnet-common@4.12.0 r-robustbase@0.99-6 r-rle@0.10.0 r-rlang@1.1.6 r-rdpack@2.6.4 r-purrr@1.2.0 r-network@1.19.0 r-memoise@2.0.1 r-matrix@1.7-4 r-magrittr@2.0.4 r-lpsolveapi@5.5.2.0-17.14 r-knitr@1.50 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://statnet.org
Licenses: FSDG-compatible
Synopsis: Fit, Simulate and Diagnose Exponential-Family Models for Networks
Description:

An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGMs). ergm is a part of the Statnet suite of packages for network analysis. See Hunter, Handcock, Butts, Goodreau, and Morris (2008) <doi:10.18637/jss.v024.i03> and Krivitsky, Hunter, Morris, and Klumb (2023) <doi:10.18637/jss.v105.i06>.

r-emgcr 0.2.0
Propagated dependencies: r-tibble@3.3.0 r-survival@3.8-3 r-knitr@1.50 r-ggplot2@4.0.1 r-formula@1.2-5 r-flexsurv@2.3.2 r-actuar@3.3-6
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EMGCR
Licenses: GPL 3
Synopsis: Fit a Mixture Cure Rate Model with Custom Link Function
Description:

This package provides tools to fit Mixture Cure Rate models via the Expectation-Maximization (EM) algorithm, allowing for flexible link functions in the cure component and various survival distributions in the latency part. The package supports user-specified link functions, includes methods for parameter estimation and model diagnostics, and provides residual analysis tailored for cure models. The classical theory methods used are described in Berkson, J. and Gage, R. P. (1952) <doi:10.2307/2281318>, Dempster, A. P., Laird, N. M. and Rubin, D. B. (1977) <https://www.jstor.org/stable/2984875>, Bazán, J., Torres-Avilés, F., Suzuki, A. and Louzada, F. (2017)<doi:10.1002/asmb.2215>.

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