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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-eegkit 1.0-5
Propagated dependencies: r-signal@1.8-1 r-rgl@1.3.31 r-ica@1.0-3 r-eegkitdata@1.1 r-bigsplines@1.1-1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=eegkit
Licenses: GPL 2+
Build system: r
Synopsis: Toolkit for Electroencephalography Data
Description:

Analysis and visualization tools for electroencephalography (EEG) data. Includes functions for (i) plotting EEG data, (ii) filtering EEG data, (iii) smoothing EEG data; (iv) frequency domain (Fourier) analysis of EEG data, (v) Independent Component Analysis of EEG data, and (vi) simulating event-related potential EEG data.

r-envstat 0.0.3
Propagated dependencies: r-yaml@2.3.10 r-rstudioapi@0.17.1 r-httr2@1.2.1 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://envstat.sellorm.com
Licenses: Expat
Build system: r
Synopsis: Configurable Reporting on your External Compute Environment
Description:

Runs a series of configurable tests against a user's compute environment. This can be used for checking that things like a specific directory or an environment variable is available before you start an analysis. Alternatively, you can use the package's situation report when filing error reports with your compute infrastructure.

r-epitools 0.5-10.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=epitools
Licenses: GPL 2+
Build system: r
Synopsis: Epidemiology Tools
Description:

This package provides tools for training and practicing epidemiologists including methods for two-way and multi-way contingency tables.

r-equatiomatic 0.4.4
Propagated dependencies: r-shiny@1.11.1 r-rmarkdown@2.30 r-knitr@1.50 r-broom-mixed@0.2.9.6 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/datalorax/equatiomatic
Licenses: FSDG-compatible
Build system: r
Synopsis: Transform Models into 'LaTeX' Equations
Description:

The goal of equatiomatic is to reduce the pain associated with writing LaTeX formulas from fitted models. The primary function of the package, extract_eq(), takes a fitted model object as its input and returns the corresponding LaTeX code for the model.

r-enveomics-r 1.10.0
Propagated dependencies: r-sn@2.1.1 r-investr@1.4.2 r-fitdistrplus@1.2-4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: http://enve-omics.ce.gatech.edu/enveomics/
Licenses: Artistic License 2.0
Build system: r
Synopsis: Various Utilities for Microbial Genomics and Metagenomics
Description:

This package provides a collection of functions for microbial ecology and other applications of genomics and metagenomics. Companion package for the Enveomics Collection (Rodriguez-R, L.M. and Konstantinidis, K.T., 2016 <DOI:10.7287/peerj.preprints.1900v1>).

r-easyalluvial 0.4.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-recipes@1.3.1 r-rcolorbrewer@1.1-3 r-randomforest@4.7-1.2 r-purrr@1.2.0 r-progressr@0.18.0 r-progress@1.2.3 r-magrittr@2.0.4 r-gridextra@2.3 r-ggridges@0.5.7 r-ggplot2@4.0.1 r-ggalluvial@0.12.5 r-forcats@1.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/erblast/easyalluvial/
Licenses: CC0
Build system: r
Synopsis: Generate Alluvial Plots with a Single Line of Code
Description:

Alluvial plots are similar to sankey diagrams and visualise categorical data over multiple dimensions as flows. (Rosvall M, Bergstrom CT (2010) Mapping Change in Large Networks. PLoS ONE 5(1): e8694. <doi:10.1371/journal.pone.0008694> Their graphical grammar however is a bit more complex then that of a regular x/y plots. The ggalluvial package made a great job of translating that grammar into ggplot2 syntax and gives you many options to tweak the appearance of an alluvial plot, however there still remains a multi-layered complexity that makes it difficult to use ggalluvial for explorative data analysis. easyalluvial provides a simple interface to this package that allows you to produce a decent alluvial plot from any dataframe in either long or wide format from a single line of code while also handling continuous data. It is meant to allow a quick visualisation of entire dataframes with a focus on different colouring options that can make alluvial plots a great tool for data exploration.

r-ecoteach 0.1.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ecoteach
Licenses: Expat
Build system: r
Synopsis: Educational Datasets for Ecology and Agriculture
Description:

This package provides a collection of curated educational datasets for teaching ecology and agriculture concepts. Includes data on wildlife monitoring, plant treatments, and ecological observations with documentation and examples for educational use. All datasets are derived from published scientific studies and are available under CC0 or compatible licenses.

r-ehagof 0.1.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ehaGoF
Licenses: GPL 2
Build system: r
Synopsis: Calculates Goodness of Fit Statistics
Description:

Calculates 15 different goodness of fit criteria. These are; standard deviation ratio (SDR), coefficient of variation (CV), relative root mean square error (RRMSE), Pearson's correlation coefficients (PC), root mean square error (RMSE), performance index (PI), mean error (ME), global relative approximation error (RAE), mean relative approximation error (MRAE), mean absolute percentage error (MAPE), mean absolute deviation (MAD), coefficient of determination (R-squared), adjusted coefficient of determination (adjusted R-squared), Akaike's information criterion (AIC), corrected Akaike's information criterion (CAIC), Mean Square Error (MSE), Bayesian Information Criterion (BIC) and Normalized Mean Square Error (NMSE).

r-emon 1.3.2
Propagated dependencies: r-mgcv@1.9-4 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=emon
Licenses: GPL 3
Build system: r
Synopsis: Tools for Environmental and Ecological Survey Design
Description:

Statistical tools for environmental and ecological surveys. Simulation-based power and precision analysis; detection probabilities from different survey designs; visual fast count estimation.

r-edfun 0.2.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=edfun
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Creating Empirical Distribution Functions
Description:

Easily creating empirical distribution functions from data: dfun', pfun', qfun and rfun'.

r-elt 1.7
Propagated dependencies: r-xlsx@0.6.5 r-locfit@1.5-9.12 r-latticeextra@0.6-31 r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ELT
Licenses: GPL 2+
Build system: r
Synopsis: Experience Life Tables
Description:

Build experience life tables.

r-editdata 0.1.8
Propagated dependencies: r-tibble@3.3.0 r-shinywidgets@0.9.0 r-shiny@1.11.1 r-rstudioapi@0.17.1 r-rio@1.2.4 r-openxlsx@4.2.8.1 r-miniui@0.1.2 r-magrittr@2.0.4 r-dt@0.34.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/cardiomoon/editData
Licenses: GPL 3
Build system: r
Synopsis: 'RStudio' Addin for Editing a 'data.frame'
Description:

An RStudio addin for editing a data.frame or a tibble'. You can delete, add or update a data.frame without coding. You can get resultant data as a data.frame'. In the package, modularized shiny app codes are provided. These modules are intended for reuse across applications.

r-ednajoint 0.3.3
Propagated dependencies: r-tidyr@1.3.1 r-stanheaders@2.32.10 r-scales@1.4.0 r-rstantools@2.5.0 r-rstan@2.32.7 r-rlist@0.4.6.2 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-loo@2.8.0 r-lifecycle@1.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-bh@1.87.0-1 r-bayestestr@0.17.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/ropensci/eDNAjoint
Licenses: GPL 3
Build system: r
Synopsis: Joint Modeling of Traditional and Environmental DNA Survey Data in a Bayesian Framework
Description:

Models integrate environmental DNA (eDNA) detection data and traditional survey data to jointly estimate species catch rate (see package vignette: <https://ednajoint.netlify.app/>). Models can be used with count data via traditional survey methods (i.e., trapping, electrofishing, visual) and replicated eDNA detection/nondetection data via polymerase chain reaction (i.e., PCR or qPCR) from multiple survey locations. Estimated parameters include probability of a false positive eDNA detection, a site-level covariates that scale the sensitivity of eDNA surveys relative to traditional surveys, and gear scaling coefficients for traditional gear types. Models are implemented with a Bayesian framework (Markov chain Monte Carlo) using the Stan probabilistic programming language.

r-exactvartest 0.1.3
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/YujianCHEN219/ExactVaRTest
Licenses: GPL 3+
Build system: r
Synopsis: Exact Finite-Sample Value-at-Risk Back-Testing
Description:

This package provides fast dynamic-programming algorithms in C++'/'Rcpp (with pure R fallbacks) for the exact finite-sample distributions and p-values of Christoffersen (1998) independence (IND) and conditional-coverage (CC) VaR backtests. For completeness, it also provides the exact unconditional-coverage (UC) test following Kupiec (1995) via a closed-form binomial enumeration. See Christoffersen (1998) <doi:10.2307/2527341> and Kupiec (1995) <doi:10.3905/jod.1995.407942>.

r-elosteepness 0.5.0
Propagated dependencies: r-stanheaders@2.32.10 r-rstantools@2.5.0 r-rstan@2.32.7 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-elorating@0.46.18 r-bh@1.87.0-1 r-anidom@0.1.5
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/gobbios/EloSteepness
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Dominance Hierarchy Steepness via Elo Rating and David's Scores
Description:

Obtain Bayesian posterior distributions of dominance hierarchy steepness (Neumann and Fischer (2023) <doi:10.1111/2041-210X.14021>). Steepness estimation is based on Bayesian implementations of either Elo-rating or David's scores.

r-elaborator 1.3.5
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-shinywidgets@0.9.0 r-shinydashboard@0.7.3 r-shiny@1.11.1 r-shape@1.4.6.1 r-seriation@1.5.8 r-rlang@1.1.6 r-reshape2@1.4.5 r-rcolorbrewer@1.1-3 r-purrr@1.2.0 r-here@1.0.2 r-haven@2.5.5 r-forcats@1.0.1 r-dt@0.34.0 r-dplyr@1.1.4 r-dendextend@1.19.1 r-bsplus@0.1.5
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/openpharma/elaborator
Licenses: GPL 3
Build system: r
Synopsis: 'shiny' Application for Exploring Laboratory Data
Description:

This package provides a novel concept for generating knowledge and gaining insights into laboratory data. You will be able to efficiently and easily explore your laboratory data from different perspectives. Janitza, S., Majumder, M., Mendolia, F., Jeske, S., & Kulmann, H. (2021) <doi:10.1007/s43441-021-00318-4>.

r-eply 0.1.2
Propagated dependencies: r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/wlandau/eply
Licenses: GPL 3
Build system: r
Synopsis: Apply a Function Over Expressions
Description:

Evaluate a function over a data frame of expressions.

r-economiccomplexity 2.0.0
Propagated dependencies: r-rdpack@2.6.4 r-igraph@2.2.1 r-cpp11armadillo@0.5.4 r-cpp11@0.5.2
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-efafactors 1.2.4
Propagated dependencies: r-xgboost@1.7.11.1 r-simcormultres@1.9.0 r-reticulate@1.44.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-ranger@0.17.0 r-psych@2.5.6 r-proxy@0.4-27 r-mlr@2.19.3 r-matrix@1.7-4 r-mass@7.3-65 r-ineq@0.2-13 r-ddpcr@1.16.0 r-checkmate@2.3.3 r-bbmisc@1.13
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://haijiangqin.com/EFAfactors/
Licenses: GPL 3
Build system: r
Synopsis: Determining the Number of Factors in Exploratory Factor Analysis
Description:

This package provides a collection of standard factor retention methods in Exploratory Factor Analysis (EFA), making it easier to determine the number of factors. Traditional methods such as the scree plot by Cattell (1966) <doi:10.1207/s15327906mbr0102_10>, Kaiser-Guttman Criterion (KGC) by Guttman (1954) <doi:10.1007/BF02289162> and Kaiser (1960) <doi:10.1177/001316446002000116>, and flexible Parallel Analysis (PA) by Horn (1965) <doi:10.1007/BF02289447> based on eigenvalues form PCA or EFA are readily available. This package also implements several newer methods, such as the Empirical Kaiser Criterion (EKC) by Braeken and van Assen (2017) <doi:10.1037/met0000074>, Comparison Data (CD) by Ruscio and Roche (2012) <doi:10.1037/a0025697>, and Hull method by Lorenzo-Seva et al. (2011) <doi:10.1080/00273171.2011.564527>, as well as some AI-based methods like Comparison Data Forest (CDF) by Goretzko and Ruscio (2024) <doi:10.3758/s13428-023-02122-4> and Factor Forest (FF) by Goretzko and Buhner (2020) <doi:10.1037/met0000262>. Additionally, it includes a deep neural network (DNN) trained on large-scale datasets that can efficiently and reliably determine the number of factors.

r-emailvalidation 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://emailvalidation.io
Licenses: Expat
Build system: r
Synopsis: Client for the 'emailalvalidation.io' E-Mail Validation API
Description:

An R client for the emailvalidation.io e-mail verification API. The API requires registration of an API key. Basic features are free, some require a paid subscription. You can find the full API documentation at <https://emailvalidation.io/docs> .

r-easydescribe 0.1.2
Propagated dependencies: r-rcompanion@2.5.2 r-psych@2.5.6 r-nortest@1.0-4 r-multica@1.2.0 r-gmodels@2.19.1 r-fsa@0.10.0 r-fitdistrplus@1.2-4 r-clinfun@1.1.5 r-catt@2.0 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EasyDescribe
Licenses: GPL 3
Build system: r
Synopsis: Convenient Way of Descriptive Statistics
Description:

Descriptive Statistics is essential for publishing articles. This package can perform descriptive statistics according to different data types. If the data is a continuous variable, the mean and standard deviation or median and quartiles are automatically output; if the data is a categorical variable, the number and percentage are automatically output. In addition, if you enter two variables in this package, the two variables will be described and their relationships will be tested automatically according to their data types. For example, if one of the two input variables is a categorical variable, another variable will be described hierarchically based on the categorical variable and the statistical differences between different groups will be compared using appropriate statistical methods. And for groups of more than two, the post hoc test will be applied. For more information on the methods we used, please see the following references: Libiseller, C. and Grimvall, A. (2002) <doi:10.1002/env.507>, Patefield, W. M. (1981) <doi:10.2307/2346669>, Hope, A. C. A. (1968) <doi:10.1111/J.2517-6161.1968.TB00759.X>, Mehta, C. R. and Patel, N. R. (1983) <doi:10.1080/01621459.1983.10477989>, Mehta, C. R. and Patel, N. R. (1986) <doi:10.1145/6497.214326>, Clarkson, D. B., Fan, Y. and Joe, H. (1993) <doi:10.1145/168173.168412>, Cochran, W. G. (1954) <doi:10.2307/3001616>, Armitage, P. (1955) <doi:10.2307/3001775>, Szabo, A. (2016) <doi:10.1080/00031305.2017.1407823>, David, F. B. (1972) <doi:10.1080/01621459.1972.10481279>, Joanes, D. N. and Gill, C. A. (1998) <doi:10.1111/1467-9884.00122>, Dunn, O. J. (1964) <doi:10.1080/00401706.1964.10490181>, Copenhaver, M. D. and Holland, B. S. (1988) <doi:10.1080/00949658808811082>, Chambers, J. M., Freeny, A. and Heiberger, R. M. (1992) <doi:10.1201/9780203738535-5>, Shaffer, J. P. (1995) <doi:10.1146/annurev.ps.46.020195.003021>, Myles, H. and Douglas, A. W. (1973) <doi:10.2307/2063815>, Rahman, M. and Tiwari, R. (2012) <doi:10.4236/health.2012.410139>, Thode, H. J. (2002) <doi:10.1201/9780203910894>, Jonckheere, A. R. (1954) <doi:10.2307/2333011>, Terpstra, T. J. (1952) <doi:10.1016/S1385-7258(52)50043-X>.

r-estimdiagnostics 0.0.3
Propagated dependencies: r-testthat@3.3.0 r-rlang@1.1.6 r-reshape2@1.4.5 r-goftest@1.2-3 r-ggplot2@4.0.1 r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://gitlab.com/Dmitry_Otryakhin/diagnostics-and-tests-for-statistical-estimators
Licenses: GPL 3
Build system: r
Synopsis: Diagnostic Tools and Unit Tests for Statistical Estimators
Description:

Extension of testthat package to make unit tests on empirical distributions of estimators and functions for diagnostics of their finite-sample performance.

r-ec50estimator 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-magrittr@2.0.4 r-drc@3.0-1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/AlvesKS/ec50estimator
Licenses: Expat
Build system: r
Synopsis: An Automated Way to Estimate EC50 for Stratified Datasets
Description:

An implementation for estimating Effective control to 50% of growth inhibition (EC50) for multi isolates and stratified datasets. It implements functions from the drc package in a way that is displayed a tidy data.frame as output. Info about the drc package is available in Ritz C, Baty F, Streibig JC, Gerhard D (2015) <doi:10.1371/journal.pone.0146021>.

r-ei-datasets 0.0.1-3
Propagated dependencies: r-tibble@3.3.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ei.Datasets
Licenses: FSDG-compatible FSDG-compatible FSDG-compatible
Build system: r
Synopsis: Real Datasets for Assessing Ecological Inference Algorithms
Description:

This package provides more than 550 data sets of actual election results. Each of the data sets includes aggregate party and candidate outcomes at the voting unit (polling stations) level and two-way cross-tabulated results at the district level. These data sets can be used to assess ecological inference algorithms devised for estimating RxC (global) ecological contingency tables using exclusively aggregate results from voting units. Reference: Pavà a (2022) <doi:10.1177/08944393211040808>.

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Total results: 68655