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

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-elastic 1.2.2
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://rfhb.github.io/elastic/
Licenses: Expat
Build system: r
Synopsis: Database Interface to 'Elasticsearch' and 'OpenSearch'
Description:

Connect to Elasticsearch and OpenSearch', NoSQL databases built on the Java Virtual Machine and using the Apache Lucene library. Interacts with the Elasticsearch HTTP API (<https://www.elastic.co/elasticsearch/>) and the OpenSearch HTTP API (<https://opensearch.org/>). Includes functions for setting connection details to Elasticsearch and OpenSearch 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 APIs for indices', documents, nodes, clusters, an interface to the cat API, and more.

r-eq5d 0.16.2
Propagated dependencies: r-rlang@1.1.6 r-lifecycle@1.0.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/fragla/eq5d
Licenses: Expat
Build system: r
Synopsis: Methods for Analysing 'EQ-5D' Data and Calculating 'EQ-5D' Index Scores
Description:

EQ-5D is a popular health related quality of life instrument used in the clinical and economic evaluation of health care. Developed by the EuroQol group <https://euroqol.org/>, the instrument consists of two components: health state description and evaluation. For the description component a subject self-rates their health in terms of five dimensions; mobility, self-care, usual activities, pain/discomfort, and anxiety/depression using either a three-level (EQ-5D-3L, <https://euroqol.org/information-and-support/euroqol-instruments/eq-5d-3l/>) or a five-level (EQ-5D-5L, <https://euroqol.org/information-and-support/euroqol-instruments/eq-5d-5l/>) scale. Frequently the scores on these five dimensions are converted to a single utility index using country specific value sets, which can be used in the clinical and economic evaluation of health care as well as in population health surveys. The eq5d package provides methods to calculate index scores from a subject's dimension scores. 33 TTO and 11 VAS EQ-5D-3L value sets including those for countries in Szende et al (2007) <doi:10.1007/1-4020-5511-0> and Szende et al (2014) <doi:10.1007/978-94-007-7596-1>, 48 EQ-5D-5L EQ-VT value sets, the EQ-5D-5L crosswalk value sets developed by van Hout et al. (2012) <doi:10.1016/j.jval.2012.02.008>, the crosswalk value sets for Bermuda, Jordan and Russia and the van Hout (2021) reverse crosswalk value sets. 12 EQ-5D-Y3L value sets are also included as are the NICE DSU age-sex based EQ-5D-3L to EQ-5D-5L and EQ-5D-5L to EQ-5D-3L mappings. Methods are also included for the analysis of EQ-5D profiles, including those from the book "Methods for Analyzing and Reporting EQ-5D data" by Devlin et al. (2020) <doi:10.1007/978-3-030-47622-9>. Additionally a shiny web tool is included to enable the calculation, visualisation and automated statistical analysis of EQ-5D data via a web browser using EQ-5D dimension scores stored in CSV or Excel files.

r-elfgen 2.3.4
Propagated dependencies: r-testit@0.13 r-stringr@1.6.0 r-sqldf@0.4-11 r-scales@1.4.0 r-sbtools@1.4.1 r-quantreg@6.1 r-nhdplustools@1.4.2 r-ggplot2@4.0.1 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/HARPgroup/elfgen
Licenses: Expat
Build system: r
Synopsis: Ecological Limit Function Model Generation and Analysis Toolkit
Description:

This package provides a toolset for generating Ecological Limit Function (ELF) models and evaluating potential species loss resulting from flow change, based on the elfgen framework. ELFs describe the relation between aquatic species richness (fish or benthic macroinvertebrates) and stream size characteristics (streamflow or drainage area). Journal publications are available outlining framework methodology (Kleiner et al. (2020) <doi:10.1111/1752-1688.12876>) and application (Rapp et al. (2020) <doi:10.1111/1752-1688.12877>).

r-errorlocate 1.1.2
Propagated dependencies: r-validate@1.1.7 r-lpsolveapi@5.5.2.0-17.14
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/data-cleaning/errorlocate
Licenses: GPL 3
Build system: r
Synopsis: Locate Errors with Validation Rules
Description:

Errors in data can be located and removed using validation rules from package validate'. See also Van der Loo and De Jonge (2018) <doi:10.1002/9781118897126>, chapter 7.

r-economiccomplexity 2.1.0
Propagated dependencies: r-rdpack@2.6.4 r-igraph@2.2.1 r-cpp4r@0.4.0 r-armadillo4r@0.7.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://pacha.dev/economiccomplexity/
Licenses: FSDG-compatible
Build system: r
Synopsis: Computational Methods for Economic Complexity
Description:

This package provides a wrapper of different methods from Linear Algebra for the equations introduced in The Atlas of Economic Complexity and related literature. This package provides standard matrix and graph output that can be used seamlessly with other packages. See <doi:10.21105/joss.01866> for a summary of these methods and its evolution in literature.

r-eodhdr2 0.5.2
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/EodHistoricalData/R-Library-for-financial-data-2024
Licenses: Expat
Build system: r
Synopsis: Official R API for Fetching Data from 'EODHD'
Description:

Second and backward-incompatible version of R package eodhd <https://eodhd.com/>, extended with a cache and quota system, also offering functions for cleaning and aggregating the financial data.

r-eclrmc 1.0
Propagated dependencies: r-softimpute@1.4-3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ECLRMC
Licenses: GPL 2
Build system: r
Synopsis: Ensemble Correlation-Based Low-Rank Matrix Completion
Description:

Ensemble correlation-based low-rank matrix completion method (ECLRMC) is an extension to the LRMC based methods. Traditionally, the LRMC based methods give identical importance to the whole data which results in emphasizing on the commonality of the data and overlooking the subtle but crucial differences. This method aims to overcome the equality assumption problem that exists in the current LRMS based methods. Ensemble correlation-based low-rank matrix completion (ECLRMC) takes consideration of the specific characteristic of each sample and performs LRMC on the set of samples with a strong correlation. It uses an ensemble learning method to improve the imputation performance. Since each sample is analyzed independently this method can be parallelized by distributing imputation across many computation units or GPU platforms. This package provides three different methods (LRMC, CLRMC and ECLRMC) for data imputation. There is also an NRMS function for evaluating the result. Chen, Xiaobo, et al (2017) <doi:10.1016/j.knosys.2017.06.010>.

r-exdex 1.2.4
Propagated dependencies: r-rcpproll@0.3.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-chandwich@1.1.6
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/paulnorthrop/exdex
Licenses: GPL 2+
Build system: r
Synopsis: Estimation of the Extremal Index
Description:

This package performs frequentist inference for the extremal index of a stationary time series. Two types of methodology are used. One type is based on a model that relates the distribution of block maxima to the marginal distribution of series and leads to the semiparametric maxima estimators described in Northrop (2015) <doi:10.1007/s10687-015-0221-5> and Berghaus and Bucher (2018) <doi:10.1214/17-AOS1621>. Sliding block maxima are used to increase precision of estimation. A graphical block size diagnostic is provided. The other type of methodology uses a model for the distribution of threshold inter-exceedance times (Ferro and Segers (2003) <doi:10.1111/1467-9868.00401>). Three versions of this type of approach are provided: the iterated weight least squares approach of Suveges (2007) <doi:10.1007/s10687-007-0034-2>, the K-gaps model of Suveges and Davison (2010) <doi:10.1214/09-AOAS292> and a similar approach of Holesovsky and Fusek (2020) <doi:10.1007/s10687-020-00374-3> that we refer to as D-gaps. For the K-gaps and D-gaps models this package allows missing values in the data, can accommodate independent subsets of data, such as monthly or seasonal time series from different years, and can incorporate information from right-censored inter-exceedance times. Graphical diagnostics for the threshold level and the respective tuning parameters K and D are provided.

r-excel2eprime 0.4.0
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-readxl@1.4.5 r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/wujackwill/excel2eprime
Licenses: Expat
Build system: r
Synopsis: Split Sentences by Factors
Description:

Split experiment sentences by different experiment design given by the user and the result can be used in E-prime (<https://pstnet.com/products/e-prime/>).

r-econdemand 1.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EconDemand
Licenses: GPL 2
Build system: r
Synopsis: General Analysis of Various Economics Demand Systems
Description:

This package provides tools for general properties including price, quantity, elasticity, convexity, marginal revenue and manifold of various economics demand systems including Linear, Translog, CES, LES and CREMR.

r-extrpatt 0.1-4
Propagated dependencies: r-matrix@1.7-4 r-mass@7.3-65 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ExtrPatt
Licenses: Expat
Build system: r
Synopsis: Spatial Dependencies and Indices for Extremes
Description:

An implementation of 1) the tail pairwise dependence matrix (TPDM) as described in Jiang & Cooley (2020) <doi:10.1175/JCLI-D-19-0413.1> 2) the extremal pattern index (EPI) as described in Szemkus & Friederichs ('Spatial patterns and indices for heatwave and droughts over Europe using a decomposition of extremal dependency'; submitted to ASCMO 2023).

r-exceedancetools 1.3.6
Propagated dependencies: r-splancs@2.01-45 r-spatialtools@1.0.5 r-matrixstats@1.5.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ExceedanceTools
Licenses: GPL 2+
Build system: r
Synopsis: Confidence/Credible Regions for Exceedance Sets and Contour Lines
Description:

This package provides methods for constructing confidence or credible regions for exceedance sets and contour lines.

r-easyortables 0.0.1
Propagated dependencies: r-mass@7.3-65 r-knitr@1.50 r-kableextra@1.4.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=easyORtables
Licenses: Expat
Build system: r
Synopsis: Easy Odds Ratio Tables
Description:

This package creates text, LaTeX', Markdown, or Bootstrap-styled HTML-formatted odds ratio tables with confidence intervals for multiple logistic regression models.

r-eiaapi 0.2.0
Propagated dependencies: r-lubridate@1.9.4 r-jsonlite@2.0.0 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/RamiKrispin/EIAapi
Licenses: Expat
Build system: r
Synopsis: Query Data from the 'EIA' API
Description:

This package provides a function to query and extract data from the US Energy Information Administration ('EIA') API V2 <https://www.eia.gov/opendata/>. The EIA API provides a variety of information, in a time series format, about the energy sector in the US. The API is open, free, and requires an access key and registration at <https://www.eia.gov/opendata/>.

r-edear 1.0.0
Propagated dependencies: r-zoo@1.8-14 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-shinytime@1.0.3 r-shiny@1.11.1 r-rstudioapi@0.17.1 r-rlang@1.1.6 r-purrr@1.2.0 r-miniui@0.1.2 r-magrittr@2.0.4 r-lubridate@1.9.4 r-lifecycle@1.0.4 r-hms@1.1.4 r-glue@1.8.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-data-table@1.17.8 r-cli@3.6.5 r-bupar@1.0.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://bupar.net/
Licenses: Expat
Build system: r
Synopsis: Exploratory and Descriptive Event-Based Data Analysis
Description:

Exploratory and descriptive analysis of event based data. Provides methods for describing and selecting process data, and for preparing event log data for process mining. Builds on the S3-class for event logs implemented in the package bupaR'.

r-evcgsampler 0.9.5
Propagated dependencies: r-patchwork@1.3.2 r-osqp@0.6.3.3 r-ggplot2@4.0.1 r-ggforce@0.5.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/Sanofi-Public/eVCGsampler
Licenses: Expat
Build system: r
Synopsis: VCG Sampling using Energy-Based Covariate Balancing
Description:

This package provides a principled framework for sampling Virtual Control Group (VCG) using energy distance-based covariate balancing. The package offers visualization tools to assess covariate balance and includes a permutation test to evaluate the statistical significance of observed deviations.

r-esemifar 2.0.1
Propagated dependencies: r-smoots@1.1.4 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-ggplot2@4.0.1 r-future@1.68.0 r-furrr@0.3.1 r-fracdiff@1.5-3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://wiwi.uni-paderborn.de/en/dep4/feng/
Licenses: GPL 3
Build system: r
Synopsis: Smoothing Long-Memory Time Series
Description:

The nonparametric trend and its derivatives in equidistant time series (TS) with long-memory errors can be estimated. The estimation is conducted via local polynomial regression using an automatically selected bandwidth obtained by a built-in iterative plug-in algorithm or a bandwidth fixed by the user. The smoothing methods of the package are described in Letmathe, S., Beran, J. and Feng, Y., (2023) <doi:10.1080/03610926.2023.2276049>.

r-elechemr 1.2.0
Propagated dependencies: 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=EleChemr
Licenses: GPL 3
Build system: r
Synopsis: Electrochemical Reactions Simulation
Description:

Digital simulation of electrochemical processes. Each function allows for implicit and explicit solution of the differential equation using methods like Euler, Backwards implicit, Runge Kutta 4, Crank Nicholson and Backward differentiation formula as well as different number of points for derivative approximation. Several electrochemical processes can be simulated such as: Chronoamperometry, Potential Step, Linear Sweep, Cyclic Voltammetry, Cyclic Voltammetry with electrochemical reaction followed by chemical reaction (EC mechanism) and CV with two following electrochemical reaction (EE mechanism). In update 1.1.0 has been added a general purpose CV function that allow to simulate up to 4 EE mechanism combined with chemical reaction for each species.Update 1.2.0 improved the accuracy of the measurements and allow personalized data resolution for simulation. Bibliography regarding this methods can be found in the following texts. Dieter Britz, Jorg Strutwolf (2016) <ISBN:978-3-319-30292-8>. Allen J. Bard, Larry R. Faulkner (2000) <ISBN:978-0-471-04372-0>.

r-europop 0.3.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/mdlincoln/europop
Licenses: CC0
Build system: r
Synopsis: Historical Populations of European Cities, 1500-1800
Description:

This dataset contains population estimates of all European cities with at least 10,000 inhabitants during the period 1500-1800. These data are adapted from Jan De Vries, "European Urbanization, 1500-1800" (1984).

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
Build system: r
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-emmreml 3.1
Propagated dependencies: r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EMMREML
Licenses: GPL 2
Build system: r
Synopsis: Fitting Mixed Models with Known Covariance Structures
Description:

The main functions are emmreml', and emmremlMultiKernel'. emmreml solves a mixed model with known covariance structure using the EMMA algorithm. emmremlMultiKernel is a wrapper for emmreml to handle multiple random components with known covariance structures. The function emmremlMultivariate solves a multivariate gaussian mixed model with known covariance structure using the ECM algorithm.

r-epir 2.0.91
Propagated dependencies: r-zoo@1.8-14 r-survival@3.8-3 r-sf@1.0-23 r-pander@0.6.6 r-officer@0.7.1 r-lubridate@1.9.4 r-flextable@0.9.10 r-biasedurn@2.0.12
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=epiR
Licenses: GPL 2+
Build system: r
Synopsis: Tools for the Analysis of Epidemiological Data
Description:

This package provides tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.

r-ebmc 1.0.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ebmc
Licenses: GPL 3+
Build system: r
Synopsis: Ensemble-Based Methods for Class Imbalance Problem
Description:

Four ensemble-based methods (SMOTEBoost, RUSBoost, UnderBagging, and SMOTEBagging) for class imbalance problem are implemented for binary classification. Such methods adopt ensemble methods and data re-sampling techniques to improve model performance in presence of class imbalance problem. One special feature offers the possibility to choose multiple supervised learning algorithms to build weak learners within ensemble models. References: Nitesh V. Chawla, Aleksandar Lazarevic, Lawrence O. Hall, and Kevin W. Bowyer (2003) <doi:10.1007/978-3-540-39804-2_12>, Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, and Amri Napolitano (2010) <doi:10.1109/TSMCA.2009.2029559>, R. Barandela, J. S. Sanchez, R. M. Valdovinos (2003) <doi:10.1007/s10044-003-0192-z>, Shuo Wang and Xin Yao (2009) <doi:10.1109/CIDM.2009.4938667>, Yoav Freund and Robert E. Schapire (1997) <doi:10.1006/jcss.1997.1504>.

r-epico 1.0.1
Propagated dependencies: r-treemapify@2.6.0 r-spdep@1.4-1 r-scales@1.4.0 r-rlang@1.1.6 r-magrittr@2.0.4 r-lubridate@1.9.4 r-leaflet@2.2.3 r-incidence@1.7.6 r-igraph@2.2.1 r-ggraph@2.2.2 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://epiverse-trace.github.io/epiCo/
Licenses: Expat
Build system: r
Synopsis: Statistical and Viz Tools for Vector-Borne Diseases in Colombia
Description:

This package provides statistical and visualization tools for the analysis of demographic indicators, and spatio-temporal behavior and characterization of outbreaks of vector-borne diseases (VBDs) in Colombia. It implements travel times estimated in Bravo-Vega C., Santos-Vega M., & Cordovez J.M. (2022), and the endemic channel method (Bortman, M. (1999) <https://iris.paho.org/handle/10665.2/8562>).

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