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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-emjmcmc 1.5.0
Propagated dependencies: r-withr@3.0.2 r-stringi@1.8.7 r-speedglm@0.3-5 r-hash@2.2.6.4 r-glmnet@5.0 r-bigmemory@4.6.4 r-biglm@0.9-3 r-bas@2.0.2
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EMJMCMC
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Evolutionary Mode Jumping Markov Chain Monte Carlo Expert Toolbox
Description:

Implementation of the Mode Jumping Markov Chain Monte Carlo algorithm from Hubin, A., Storvik, G. (2018) <doi:10.1016/j.csda.2018.05.020>, Genetically Modified Mode Jumping Markov Chain Monte Carlo from Hubin, A., Storvik, G., & Frommlet, F. (2020) <doi:10.1214/18-BA1141>, Hubin, A., Storvik, G., & Frommlet, F. (2021) <doi:10.1613/jair.1.13047>, and Hubin, A., Heinze, G., & De Bin, R. (2023) <doi:10.3390/fractalfract7090641>, and Reversible Genetically Modified Mode Jumping Markov Chain Monte Carlo from Hubin, A., Frommlet, F., & Storvik, G. (2021) <doi:10.48550/arXiv.2110.05316>, which allow for estimating posterior model probabilities and Bayesian model averaging across a wide set of Bayesian models including linear, generalized linear, generalized linear mixed, generalized nonlinear, generalized nonlinear mixed, and logic regression models.

r-epicontacts 1.1.4
Propagated dependencies: r-visnetwork@2.1.4 r-threejs@0.3.4 r-igraph@2.3.1 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://www.repidemicsconsortium.org/epicontacts/
Licenses: GPL 2+
Build system: r
Synopsis: Handling, Visualisation and Analysis of Epidemiological Contacts
Description:

This package provides a collection of tools for representing epidemiological contact data, composed of case line lists and contacts between cases. Also contains procedures for data handling, interactive graphics, and statistics.

r-evmr 0.2.0
Propagated dependencies: r-rsolnp@2.0.1 r-numderiv@2016.8-1.1 r-lmomco@2.5.7 r-eva@0.2.7
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/yire-shin/evmr
Licenses: GPL 3
Build system: r
Synopsis: Extreme Value Modeling for r-Largest Order Statistics
Description:

This package provides tools for extreme value modeling based on the r-largest order statistics framework. The package provides functions for parameter estimation via maximum likelihood, return level estimation with standard errors, profile likelihood-based confidence intervals, random sample generation, and entropy difference tests for selecting the number of order statistics r. Several r-largest order statistics models are implemented, including the four-parameter kappa (rK4D), generalized logistic (rGLO), generalized Gumbel (rGGD), logistic (rLD), and Gumbel (rGD) distributions. The rK4D methodology is described in Shin et al. (2022) <doi:10.1016/j.wace.2022.100533>, the rGLO model in Shin and Park (2024) <doi:10.1007/s00477-023-02642-7>, and the rGGD model in Shin and Park (2025) <doi:10.1038/s41598-024-83273-y>. The underlying distributions are related to the kappa distribution of Hosking (1994) <doi:10.1017/CBO9780511529443>, the generalized logistic distribution discussed by Ahmad et al. (1988) <doi:10.1016/0022-1694(88)90015-7>, and the generalized Gumbel distribution of Jeong et al. (2014) <doi:10.1007/s00477-014-0865-8>. Penalized likelihood approaches for extreme value estimation follow Martins and Stedinger (2000) <doi:10.1029/1999WR900330> and Coles and Dixon (1999) <doi:10.1023/A:1009905222644>. Selection of r is supported using methods discussed in Bader et al. (2017) <doi:10.1007/s11222-016-9697-3>. The package is intended for hydrological, climatological, and environmental extreme value analysis.

r-entropic-scree 1.0.1
Propagated dependencies: r-rcpp@1.1.1-1.1 r-patchwork@1.3.2 r-infotheo@1.2.0.1 r-ggplot2@4.0.3 r-data-table@1.18.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://zenodo.org/records/22028087
Licenses: ASL 2.0
Build system: r
Synopsis: Information-Theoretic Dimensionality Estimation
Description:

An information-theoretic diagnostic technique for estimating the intrinsic dimensionality of tabular datasets. Evaluates shared probability mass via a transformed mutual information metric. Aims to extract the Intrinsic Generative Rank (r) and structural topology. For full methodological details, see the preprint by Lee-St. John (2026) <https://zenodo.org/records/22028087>.

r-evoper 0.7.0
Propagated dependencies: r-rrepast@0.8.0 r-rnetlogo@1.0-4 r-reshape@0.8.10 r-plyr@1.8.9 r-plot3d@1.4.2 r-logger@0.4.2 r-ggplot2@4.0.3 r-desolve@1.42 r-data-table@1.18.4 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/antonio-pgarcia/evoper
Licenses: Expat
Build system: r
Synopsis: Evolutionary Parameter Estimation for 'Repast Simphony' Models
Description:

The EvoPER, Evolutionary Parameter Estimation for Individual-based Models is an extensible package providing optimization driven parameter estimation methods using metaheuristics and evolutionary computation techniques (Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization for continuous domains, Tabu Search, Evolutionary Strategies, ...) which could be more efficient and require, in some cases, fewer model evaluations than alternatives relying on experimental design. Currently there are built in support for models developed with Repast Simphony Agent-Based framework (<https://repast.github.io/>) and with NetLogo (<https://www.netlogo.org/>) which are the most used frameworks for Agent-based modeling.

r-ergm 4.12.0
Propagated dependencies: r-trust@0.1-9 r-tibble@3.3.1 r-stringr@1.6.0 r-statnet-common@4.13.0 r-robustbase@0.99-7 r-rle@0.10.0 r-rlang@1.2.0 r-rdpack@2.6.6 r-purrr@1.2.2 r-network@1.20.0 r-memoise@2.0.1 r-matrix@1.7-5 r-mass@7.3-65 r-magrittr@2.0.5 r-lpsolveapi@5.5.2.0-17.15 r-knitr@1.51 r-coda@0.19-4.1 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://statnet.org
Licenses: FSDG-compatible
Build system: r
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-evmissing 1.0.2
Propagated dependencies: r-rust@1.4.4 r-revdbayes@1.5.7 r-nieve@0.1.3 r-itp@1.2.2 r-gamlssx@1.0.2
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://paulnorthrop.github.io/evmissing/
Licenses: GPL 3+
Build system: r
Synopsis: Extreme Value Analyses with Missing Data
Description:

This package performs likelihood-based extreme value inferences with adjustment for the presence of missing values based on Simpson and Northrop (2026) <doi:10.1002/env.70075>. A Generalised Extreme Value distribution is fitted to block maxima using maximum likelihood estimation, with the location and scale parameters reflecting the numbers of non-missing raw values in each block. A Bayesian version is also provided. For the purposes of comparison, there are options to make no adjustment for missing values or to discard any block maximum for which greater than a percentage of the underlying raw values are missing. Example datasets containing missing values are provided.

r-elaborator 1.3.5
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.2 r-shinywidgets@0.9.1 r-shinydashboard@0.7.3 r-shiny@1.13.0 r-shape@1.4.6.1 r-seriation@1.5.8 r-rlang@1.2.0 r-reshape2@1.4.5 r-rcolorbrewer@1.1-3 r-purrr@1.2.2 r-here@1.0.2 r-haven@2.5.5 r-forcats@1.0.1 r-dt@0.34.0 r-dplyr@1.2.1 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-econcausal 1.0.4
Propagated dependencies: r-vars@1.6-1 r-urca@1.3-4 r-tseries@0.10-61 r-tidyr@1.3.2 r-tibble@3.3.1 r-sandwich@3.1-1 r-rlang@1.2.0 r-readxl@1.5.0 r-purrr@1.2.2 r-progressr@0.19.0 r-magrittr@2.0.5 r-lmtest@0.9-40 r-future-apply@1.20.2 r-future@1.70.0 r-earth@5.3.5 r-dplyr@1.2.1 r-brms@2.23.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/IsadoreNabi/EconCausal
Licenses: GPL 3+
Build system: r
Synopsis: Causal Analysis for Macroeconomic Time Series (ECM-MARS, BSTS, Bayesian GLM-AR(1))
Description:

This package implements three complementary pipelines for causal analysis on macroeconomic time series: (1) Error-Correction Models with Multivariate Adaptive Regression Splines (ECM-MARS), (2) Bayesian Structural Time Series (BSTS), and (3) Bayesian GLM with AR(1) errors validated with Leave-Future-Out (LFO). Heavy backends (Stan) are optional and never used in examples or tests.

r-emp 2.0.6
Propagated dependencies: r-rocr@1.0-12
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=EMP
Licenses: GPL 3+
Build system: r
Synopsis: Expected Maximum Profit Classification Performance Measure
Description:

This package provides functions for estimating EMP (Expected Maximum Profit Measure) in Credit Risk Scoring and Customer Churn Prediction, according to Verbraken et al (2013, 2014) <DOI:10.1109/TKDE.2012.50>, <DOI:10.1016/j.ejor.2014.04.001>.

r-epikit 0.2.0
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.2 r-tibble@3.3.1 r-sf@1.1-1 r-scales@1.4.0 r-rlang@1.2.0 r-glue@1.8.1 r-ggplot2@4.0.3 r-forcats@1.0.1 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/R4EPI/epikit/
Licenses: GPL 3
Build system: r
Synopsis: Miscellaneous Helper Tools for Epidemiologists
Description:

This package contains tools for formatting inline code, renaming redundant columns, aggregating age categories, adding survey weights, finding the earliest date of an event, plotting z-curves, generating population counts and formatting proportions with confidence intervals. This is part of the R4Epis project <https://r4epi.github.io/sitrep/>.

r-etsi 1.0
Propagated dependencies: r-hetsurr@1.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=etsi
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Efficient Testing Using Surrogate Information
Description:

This package provides functions for treatment effect estimation, hypothesis testing, and future study design for settings where the surrogate is used in place of the primary outcome for individuals for whom the surrogate is valid, and the primary outcome is purposefully measured in the remaining patients. More details are available in: Knowlton, R., Parast, L. (2024) ``Efficient Testing Using Surrogate Information," Biometrical Journal, 67(6): e70086, <doi:10.1002/bimj.70086>. A tutorial for this package can be found at <https://www.laylaparast.com/etsi>.

r-epilossr 0.1.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/vinodhpmd/EpiLossR
Licenses: GPL 3+
Build system: r
Synopsis: Economic Loss Estimation for Animal Disease Mortality and Morbidity
Description:

This package provides standardized tools for estimating direct economic losses associated with mortality and morbidity in animal diseases. The package implements reproducible methods for calculating mortality- and morbidity-related losses using a common S3 object framework with methods for summarization, visualization, and data export. It is intended for veterinary epidemiologists, animal health economists, veterinarians, researchers, and students. The methods are informed by Rushton (2009, ISBN:9781845936934) and Bennett (2003, ISBN:9780851996224).

r-ebci 1.0.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/kolesarm/ebci
Licenses: Expat
Build system: r
Synopsis: Robust Empirical Bayes Confidence Intervals
Description:

Computes empirical Bayes confidence estimators and confidence intervals in a normal means model. The intervals are robust in the sense that they achieve correct coverage regardless of the distribution of the means. If the means are treated as fixed, the intervals have an average coverage guarantee. The implementation is based on Armstrong, Kolesár and Plagborg-Møller (2020) <arXiv:2004.03448>.

r-eemdtdnn 0.1.0
Propagated dependencies: r-rlibeemd@1.4.4 r-forecast@9.0.2
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=eemdTDNN
Licenses: GPL 3
Build system: r
Synopsis: EEMD and Its Variant Based Time Delay Neural Network Model
Description:

Forecasting univariate time series with different decomposition based time delay neural network models. For method details see Yu L, Wang S, Lai KK (2008). <doi:10.1016/j.eneco.2008.05.003>.

r-endogeneity 2.1.6
Propagated dependencies: r-statmod@1.5.2 r-rcpparmadillo@15.2.6-1 r-rcpp@1.1.1-1.1 r-pbivnorm@0.6.0 r-maxlik@1.5-2.2 r-mass@7.3-65 r-data-table@1.18.4
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=endogeneity
Licenses: GPL 3+
Build system: r
Synopsis: Recursive Two-Stage Models to Address Endogeneity
Description:

Various recursive two-stage models to address the endogeneity issue of treatment variables in observational study or mediators in experiments. The details of the models are discussed in Peng (2023) <doi:10.1287/isre.2022.1113>.

r-ef 1.2.0
Propagated dependencies: r-tmb@1.9.21 r-rcppeigen@0.3.4.0.2 r-mgcv@1.9-4 r-matrix@1.7-5 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=ef
Licenses: Expat
Build system: r
Synopsis: Modelling Framework for the Estimation of Salmonid Abundance
Description:

This package provides a set of functions to estimate capture probabilities and densities from multipass pass removal data.

r-erboost 1.5
Propagated dependencies: r-lattice@0.22-9
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=erboost
Licenses: GPL 3
Build system: r
Synopsis: Nonparametric Multiple Expectile Regression via ER-Boost
Description:

Expectile regression is a nice tool for estimating the conditional expectiles of a response variable given a set of covariates. This package implements a regression tree based gradient boosting estimator for nonparametric multiple expectile regression, proposed by Yang, Y., Qian, W. and Zou, H. (2018) <doi:10.1080/00949655.2013.876024>. The code is based on the gbm package originally developed by Greg Ridgeway.

r-erer 4.0
Propagated dependencies: r-urca@1.3-4 r-tseries@0.10-61 r-systemfit@1.1-30 r-lmtest@0.9-40
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=erer
Licenses: GPL 2+
Build system: r
Synopsis: Empirical Research in Economics with R
Description:

Several functions, datasets, and sample codes related to empirical research in economics are included. They cover the marginal effects for binary or ordered choice models, static and dynamic Almost Ideal Demand System (AIDS) models, and a typical event analysis in finance.

r-extraterrestrial 0.1.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://cran.r-project.org/package=extraterrestrial
Licenses: GPL 3
Build system: r
Synopsis: Astrobiology Equations Estimating Extraterrestrial Life
Description:

Finding life outside the planet Earth several is the ultimate goal of an astrobiologist. Using known astronomical measurements and assumptions the probability of extraterrestrial life existence could be estimated. Equations such as the Drake equation (1961) as stated in the paper of Molina (2019) <arXiv:1912.01783>, Seager (2013) <https://www.space.com/22648-drake-equation-alien-life-seager.html> and Foucher et al, (2017) <doi:10.3390/life7040040> are included in the extraterrestrial package.

r-ekioplot 1.1.0
Propagated dependencies: r-systemfonts@1.3.2 r-rlang@1.2.0 r-ggplot2@4.0.3 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://viniciusoike.github.io/ekioplot/
Licenses: Expat
Build system: r
Synopsis: EKIO Visual Identity for 'ggplot2'
Description:

This package implements EKIO's visual identity for data visualization with ggplot2'. Supplies a coordinated theme, color palettes, discrete and continuous scales, and helpers for accessible text contrast. Includes high-level recipes for common charts so analysts can create consistent, publication-ready graphics with concise code.

r-ergmgp 0.1-2
Propagated dependencies: r-statnet-common@4.13.0 r-networkdynamic@0.12.0 r-network@1.20.0 r-ergm@4.12.0
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://statnet.org
Licenses: FSDG-compatible
Build system: r
Synopsis: Tools for Modeling ERGM Generating Processes
Description:

This package provides tools for simulating draws from continuous time processes with well-defined exponential family random graph (ERGM) equilibria, i.e. ERGM generating processes (EGPs). A number of EGPs are supported, including the families identified in Butts (2023) <doi:10.1080/0022250X.2023.2180001>, as are functions for hazard calculation and timing calibration.

r-extrememix 0.0.1
Propagated dependencies: r-threshr@1.0.8 r-rcppprogress@0.4.2 r-rcpp@1.1.1-1.1 r-mixtools@2.0.0.1 r-gridextra@2.3 r-ggplot2@4.0.3 r-evd@2.3-7.1
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://github.com/manueleleonelli/extrememix
Licenses: Expat
Build system: r
Synopsis: Bayesian Estimation of Extreme Value Mixture Models
Description:

Fits extreme value mixture models, which are models for tails not requiring selection of a threshold, for continuous data. It includes functions for model comparison, estimation of quantity of interest in extreme value analysis and plotting. Reference: CN Behrens, HF Lopes, D Gamerman (2004) <doi:10.1191/1471082X04st075oa>. FF do Nascimento, D. Gamerman, HF Lopes <doi:10.1007/s11222-011-9270-z>.

r-epitraxr 0.5.0
Propagated dependencies: r-yaml@2.3.12 r-writexl@1.5.4 r-lubridate@1.9.5
Channel: guix-cran
Location: guix-cran/packages/e.scm (guix-cran packages e)
Home page: https://epiforesite.github.io/epitraxr/
Licenses: Expat
Build system: r
Synopsis: Manipulate 'EpiTrax' Data and Generate Reports
Description:

This package provides a fast, flexible tool for generating disease surveillance reports from data exported from EpiTrax', a central repository for epidemiological data used by public health officials. It provides functions to manipulate EpiTrax datasets, tailor reports to internal or public use, and export reports in CSV, Excel xlsx', or PDF formats.

Total packages: 73954