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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 search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-esaps 0.2.2
Propagated dependencies: r-tidyr@1.3.1 r-readxl@1.4.5 r-readods@2.3.2 r-plyr@1.8.9 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/Nicolas-Schmidt/esaps
Licenses: GPL 2
Build system: r
Synopsis: Indicators of Electoral Systems and Party Systems
Description:

It allows structuring electoral data of different size and structure to calculate various indicators frequently used in the studies of electoral systems and party systems. Indicators of electoral volatility, electoral disproportionality, party nationalization and the effective number of parties are included.

r-ezfragility 2.1.1
Propagated dependencies: r-viridis@0.6.5 r-rlang@1.1.6 r-reshape2@1.4.5 r-ramify@0.4.0 r-progress@1.2.3 r-glue@1.8.0 r-ggtext@0.1.2 r-ggplot2@4.0.1 r-foreach@1.5.2 r-epoch@1.0.7
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/Jiefei-Wang/EZFragility
Licenses: GPL 3+
Build system: r
Synopsis: Compute Neural Fragility for Ictal iEEG Time Series
Description:

This package provides tools to compute the neural fragility matrix from intracranial electrocorticographic (iEEG) recordings, enabling the analysis of brain dynamics during seizures. The package implements the method described by Li et al. (2017) <doi:10.23919/ACC.2017.7963378> and includes functions for data preprocessing ('Epoch'), fragility computation ('calcAdjFrag'), and visualization.

r-extr 1.1.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=extr
Licenses: FreeBSD
Build system: r
Synopsis: Extinction Risk Estimation
Description:

Estimates extinction risk from population time series under a drifted Wiener process using MLE and observation-error-and-autocovariance-robust estimators, with confidence intervals based on the w-z method.

r-ensr 0.1.0
Propagated dependencies: r-glmnet@4.1-10 r-ggplot2@4.0.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/dewittpe/ensr
Licenses: GPL 2
Build system: r
Synopsis: Elastic Net SearcheR
Description:

Elastic net regression models are controlled by two parameters, lambda, a measure of shrinkage, and alpha, a metric defining the model's location on the spectrum between ridge and lasso regression. glmnet provides tools for selecting lambda via cross validation but no automated methods for selection of alpha. Elastic Net SearcheR automates the simultaneous selection of both lambda and alpha. Developed, in part, with support by NICHD R03 HD094912.

r-entropicstatistics 0.1.3
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 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://cran.r-project.org/package=EntropicStatistics
Licenses: GPL 3
Build system: r
Synopsis: Functions Based on Entropic Statistics
Description:

This package provides methods for data analysis from an entropic perspective. These methods are nonparametric and perform well on non-ordinal data. Currently includes HeatMap() for visualizing distributional characteristics among multiple populations (groups).

r-evidencefactors 1.8
Propagated dependencies: r-sensitivitymv@1.4.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=evidenceFactors
Licenses: Expat
Build system: r
Synopsis: Reporting Tools for Sensitivity Analysis of Evidence Factors in Observational Studies
Description:

This package provides tools for integrated sensitivity analysis of evidence factors in observational studies. When an observational study allows for multiple independent or nearly independent inferences which, if vulnerable, are vulnerable to different biases, we have multiple evidence factors. This package provides methods that respect type I error rate control. Examples are provided of integrated evidence factors analysis in a longitudinal study with continuous outcome and in a case-control study. Karmakar, B., French, B., and Small, D. S. (2019)<DOI:10.1093/biomet/asz003>.

r-etlutils 1.6
Propagated dependencies: r-ff@4.5.2 r-bit@4.6.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/jwijffels/ETLUtils
Licenses: GPL 2
Build system: r
Synopsis: Utility Functions to Execute Standard Extract/Transform/Load Operations (using Package 'ff') on Large Data
Description:

This package provides functions to facilitate the use of the ff package in interaction with big data in SQL databases (e.g. in Oracle', MySQL', PostgreSQL', Hive') by allowing easy importing directly into ffdf objects using DBI', RODBC and RJDBC'. Also contains some basic utility functions to do fast left outer join merging based on match', factorisation of data and a basic function for re-coding vectors.

r-euclimatch 1.0.2
Propagated dependencies: r-terra@1.8-86 r-rcppparallel@5.1.11-1 r-rcpp@1.1.0 r-rcolorbrewer@1.1-3 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=Euclimatch
Licenses: GPL 3+
Build system: r
Synopsis: Euclidean Climatch Algorithm
Description:

An interface for performing climate matching using the Euclidean "Climatch" algorithm. Functions provide a vector of climatch scores (0-10) for each location (i.e., grid cell) within the recipient region, the percent of climatch scores >= a threshold value, and mean climatch score. Tools for parallelization and visualizations are also provided. Note that the floor function that rounds the climatch score down to the nearest integer has been removed in this implementation and the â Climatchâ algorithm, also referred to as the â Climateâ algorithm, is described in: Crombie, J., Brown, L., Lizzio, J., & Hood, G. (2008). â Climatch user manualâ . The method for the percent score is described in: Howeth, J.G., Gantz, C.A., Angermeier, P.L., Frimpong, E.A., Hoff, M.H., Keller, R.P., Mandrak, N.E., Marchetti, M.P., Olden, J.D., Romagosa, C.M., and Lodge, D.M. (2016). <doi:10.1111/ddi.12391>.

r-exnruleensemble 0.1.1
Propagated dependencies: r-fnn@1.1.4.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ExNRuleEnsemble
Licenses: GPL 3+
Build system: r
Synopsis: k Nearest Neibour Ensemble Based on Extended Neighbourhood Rule
Description:

The extended neighbourhood rule for the k nearest neighbour ensemble where the neighbours are determined in k steps. Starting from the first nearest observation of the test point, the algorithm identifies a single observation that is closest to the observation at the previous step. At each base learner in the ensemble, this search is extended to k steps on a random bootstrap sample with a random subset of features selected from the feature space. The final predicted class of the test point is determined by using a majority vote in the predicted classes given by all base models. Amjad Ali, Muhammad Hamraz, Naz Gul, Dost Muhammad Khan, Saeed Aldahmani, Zardad Khan (2022) <doi:10.48550/arXiv.2205.15111>.

r-ecocbo 1.0.0
Propagated dependencies: r-vegan@2.7-2 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-ssp@1.1.0 r-rlang@1.1.6 r-plotly@4.11.0 r-parallelly@1.45.1 r-parabar@1.4.2 r-ggpubr@0.6.2 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://github.com/arturoSP/ecocbo
Licenses: GPL 3+
Build system: r
Synopsis: Calculating Optimum Sampling Effort in Community Ecology
Description:

This package provides a system for calculating the optimal sampling effort, based on the ideas of "Ecological cost-benefit optimization" as developed by A. Underwood (1997, ISBN 0 521 55696 1). Data is obtained from simulated ecological communities with prep_data() which formats and arranges the initial data, and then the optimization follows the following procedure of four functions: (1) prep_data() takes the original dataset and creates simulated sets that can be used as a basis for estimating statistical power and type II error. (2) sim_beta() is used to estimate the statistical power for the different sampling efforts specified by the user. (3) sim_cbo() calculates then the optimal sampling effort, based on the statistical power and the sampling costs. Additionally, (4) scompvar() calculates the variation components necessary for (5) Underwood_cbo() to calculate the optimal combination of number of sites and samples depending on either an economic budget or on a desired statistical accuracy. Lastly, (6) plot_power() helps the user visualize the results of sim_beta().

r-emmixgene 0.1.4
Propagated dependencies: r-scales@1.4.0 r-reshape@0.8.10 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mclust@6.1.2 r-ggplot2@4.0.1 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EMMIXgene
Licenses: GPL 3+
Build system: r
Synopsis: Mixture Model-Based Approach to the Clustering of Microarray Expression Data
Description:

This package provides unsupervised selection and clustering of microarray data using mixture models. Following the methods described in McLachlan, Bean and Peel (2002) <doi:10.1093/bioinformatics/18.3.413> a subset of genes are selected based one the likelihood ratio statistic for the test of one versus two components when fitting mixtures of t-distributions to the expression data for each gene. The dimensionality of this gene subset is further reduced through the use of mixtures of factor analyzers, allowing the tissue samples to be clustered by fitting mixtures of normal distributions.

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
Build system: r
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-evchargcost 0.1.0
Propagated dependencies: r-ggplot2@4.0.1 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EVchargcost
Licenses: GPL 3
Build system: r
Synopsis: Computes and Plot the Optimal Charging Strategy for Electric Vehicles
Description:

The purpose of this library is to compute the optimal charging cost function for a electric vehicle (EV). It is well known that the charging function of a EV is a concave function that can be approximated by a piece-wise linear function, so bigger the state of charge, slower the charging process is. Moreover, the other important function is the one that gives the electricity price. This function is usually step-wise, since depending on the time of the day, the price of the electricity is different. Then, the problem of charging an EV to a certain state of charge is not trivial. This library implements an algorithm to compute the optimal charging cost function, that is, it plots for a given state of charge r (between 0 and 1) the minimum cost we need to pay in order to charge the EV to that state of charge r. The details of the algorithm are described in González-Rodrà guez et at (2023) <https://inria.hal.science/hal-04362876v1>.

r-effectstars2 0.1-3
Propagated dependencies: r-vgam@1.1-13 r-misctools@0.6-28
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EffectStars2
Licenses: GPL 2+
Build system: r
Synopsis: Effect Stars
Description:

This package provides functions for the method of effect stars as proposed by Tutz and Schauberger (2013) <doi:10.1080/10618600.2012.701379>. Effect stars can be used to visualize estimates of parameters corresponding to different groups, for example in multinomial logit models. Beside the main function effectstars there exist methods for special objects, for example for vglm objects from the VGAM package.

r-eiexpand 1.0.5
Propagated dependencies: r-viridis@0.6.5 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-stringr@1.6.0 r-sf@1.0-23 r-rlang@1.1.6 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-ggmap@4.0.2 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=eiExpand
Licenses: GPL 3
Build system: r
Synopsis: Utilities for Expanding Functionality of 'eiCompare'
Description:

Augments the eiCompare package's Racially Polarized Voting (RPV) functionality to streamline analyses and visualizations used to support voting rights and redistricting litigation. The package implements methods described in Barreto, M., Collingwood, L., Garcia-Rios, S., & Oskooii, K. A. (2022). "Estimating Candidate Support in Voting Rights Act Cases: Comparing Iterative EI and EI-RÃ C Methods" <doi:10.1177/0049124119852394>.

r-eat 0.1.4
Propagated dependencies: r-reshape2@1.4.5 r-rdpack@2.6.4 r-partykit@1.2-24 r-lpsolveapi@5.5.2.0-17.14 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-ggparty@1.0.0.1 r-dplyr@1.1.4 r-conflicted@1.2.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://efficiencytools.wordpress.com/
Licenses: GPL 3
Build system: r
Synopsis: Efficiency Analysis Trees
Description:

This package provides functions are provided to determine production frontiers and technical efficiency measures through non-parametric techniques based upon regression trees. The package includes code for estimating radial input, output, directional and additive measures, plotting graphical representations of the scores and the production frontiers by means of trees, and determining rankings of importance of input variables in the analysis. Additionally, an adaptation of Random Forest by a set of individual Efficiency Analysis Trees for estimating technical efficiency is also included. More details in: <doi:10.1016/j.eswa.2020.113783>.

r-eseis 0.8.1
Propagated dependencies: r-xml@3.99-0.20 r-terra@1.8-86 r-signal@1.8-1 r-shiny@1.11.1 r-rmarkdown@2.30 r-reticulate@1.44.1 r-rcpp@1.1.0 r-minpack-lm@1.2-4 r-matrixstats@1.5.0 r-fftw@1.0-9 r-extradistr@1.10.0 r-colorspace@2.1-2 r-catools@1.18.3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=eseis
Licenses: GPL 3
Build system: r
Synopsis: Environmental Seismology Toolbox
Description:

Environmental seismology is a scientific field that studies the seismic signals, emitted by Earth surface processes. This package provides all relevant functions to read/write seismic data files, prepare, analyse and visualise seismic data, and generate reports of the processing history.

r-equivalence 0.8.2
Propagated dependencies: r-paireddata@1.1.1 r-lattice@0.22-7 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=equivalence
Licenses: GPL 2
Build system: r
Synopsis: Provides Tests and Graphics for Assessing Tests of Equivalence
Description:

This package provides statistical tests and graphics for assessing tests of equivalence. Such tests have similarity as the alternative hypothesis instead of the null. Sample data sets are included.

r-epitab 0.2.2
Propagated dependencies: r-xml2@1.5.0 r-survival@3.8-3 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://github.com/stulacy/epitab
Licenses: GPL 2
Build system: r
Synopsis: Flexible Contingency Tables for Epidemiology
Description:

Builds contingency tables that cross-tabulate multiple categorical variables and also calculates various summary measures. Export to a variety of formats is supported, including: HTML', LaTeX', and Excel'.

r-expdb 0.3.0
Propagated dependencies: r-weaana@0.3.0 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rsqlite@2.4.4 r-rlang@1.1.6 r-reshape2@1.4.5 r-readxl@1.4.5 r-png@0.1-8 r-magrittr@2.0.4 r-lubridate@1.9.4 r-dplyr@1.1.4 r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://expdb.bangyou.me/
Licenses: Expat
Build system: r
Synopsis: Database for Experiment Dataset
Description:

This package provides a SQLite database is designed to store all information of experiment-based data including metadata, experiment design, managements, phenotypic values and climate records. The dataset can be imported from an Excel file.

r-experdesign 0.4.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://experdesign.llrs.dev
Licenses: Expat
Build system: r
Synopsis: Design Experiments for Batches
Description:

Distributes samples in batches while making batches homogeneous according to their description. Allows for an arbitrary number of variables, both numeric and categorical. For quality control it provides functions to subset a representative sample.

r-emdi 2.2.3
Propagated dependencies: r-stringr@1.6.0 r-spdep@1.4-1 r-saerobust@0.5.0 r-rlang@1.1.6 r-reshape2@1.4.5 r-readods@2.3.2 r-parallelmap@1.5.1 r-openxlsx@4.2.8.1 r-nlme@3.1-168 r-moments@0.14.1 r-mass@7.3-65 r-hlmdiag@0.5.1 r-gridextra@2.3 r-ggplot2@4.0.1 r-formula-tools@1.7.1 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/SoerenPannier/emdi
Licenses: GPL 2
Build system: r
Synopsis: Estimating and Mapping Disaggregated Indicators
Description:

This package provides functions that support estimating, assessing and mapping regional disaggregated indicators. So far, estimation methods comprise direct estimation, the model-based unit-level approach Empirical Best Prediction (see "Small area estimation of poverty indicators" by Molina and Rao (2010) <doi:10.1002/cjs.10051>), the area-level model (see "Estimates of income for small places: An application of James-Stein procedures to Census Data" by Fay and Herriot (1979) <doi:10.1080/01621459.1979.10482505>) and various extensions of it (adjusted variance estimation methods, log and arcsin transformation, spatial, robust and measurement error models), as well as their precision estimates. The assessment of the used model is supported by a summary and diagnostic plots. For a suitable presentation of estimates, map plots can be easily created. Furthermore, results can easily be exported to excel. For a detailed description of the package and the methods used see "The R Package emdi for Estimating and Mapping Regionally Disaggregated Indicators" by Kreutzmann et al. (2019) <doi:10.18637/jss.v091.i07> and the second package vignette "A Framework for Producing Small Area Estimates Based on Area-Level Models in R".

r-ecocopula 1.0.6
Propagated dependencies: r-tweedie@2.3.5 r-sna@2.8 r-plyr@1.8.9 r-ordinal@2023.12-4.1 r-mvabund@4.2.1 r-mgcv@1.9-4 r-mass@7.3-65 r-igraph@2.2.1 r-glm2@1.2.1 r-glasso@1.11 r-foreach@1.5.2 r-doparallel@1.0.17 r-betareg@3.2-4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://eco-stats.github.io/ecoCopula/
Licenses: LGPL 2.1+
Build system: r
Synopsis: Graphical Modelling and Ordination using Copulas
Description:

This package creates graphs of species associations (interactions) and ordination biplots from co-occurrence data by fitting discrete gaussian copula graphical models. Methods described in Popovic, GC., Hui, FKC., Warton, DI., (2018) <doi:10.1016/j.jmva.2017.12.002>.

r-emplik2 1.33
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=emplik2
Licenses: GPL 2+
Build system: r
Synopsis: Empirical Likelihood Ratio Test for Two-Sample U-Statistics with Censored Data
Description:

Calculates the empirical likelihood ratio and p-value for a mean-type hypothesis (or multiple mean-type hypotheses) based on two samples with possible censored data.

Total packages: 69239