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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-ttr-pgm 1.0.0
Propagated dependencies: r-rcpparmadillo@15.2.6-1 r-rcpp@1.1.1-1.1 r-checkmate@2.3.4 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TTR.PGM
Licenses: LGPL 3
Build system: r
Synopsis: Thornley Transport Resistance Plant Growth Model
Description:

An implementation of the Thornley transport resistance plant growth model. The package can be used to simulate plant growth as forced by climate system variables. The package provides methods for formatting forcing variables, simulating growth dynamics and calibrating model parameters. For more information see Higgins et al. (2025) TTR.PGM: An R package for modelling the distributions and dynamics of plants using the Thornley transport resistance plant growth model. Methods in Ecology and Evolution. in press.

r-tbrf 0.1.7
Propagated dependencies: r-tidyr@1.3.2 r-tibble@3.3.1 r-rlang@1.2.0 r-purrr@1.2.2 r-lubridate@1.9.5 r-ggplot2@4.0.3 r-dplyr@1.2.1 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://mps9506.github.io/tbrf/
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Time-Based Rolling Functions
Description:

This package provides rolling statistical functions based on date and time windows instead of n-lagged observations.

r-tspredit 2.0.707
Propagated dependencies: r-wavelets@0.3-0.2 r-randomforest@4.7-1.2 r-nnet@7.3-20 r-mfilter@0.1-5 r-kfas@1.6.0 r-hht@2.1.6 r-forecast@9.0.2 r-fnn@1.1.4.1 r-elmnnrcpp@1.0.5 r-e1071@1.7-17 r-dplyr@1.2.1 r-desctools@0.99.60 r-daltoolbox@1.3.747
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cefet-rj-dal.github.io/tspredit/
Licenses: Expat
Build system: r
Synopsis: Time Series Prediction with Integrated Tuning
Description:

Time series prediction is a critical task in data analysis, requiring not only the selection of appropriate models, but also suitable data preprocessing and tuning strategies. TSPredIT (Time Series Prediction with Integrated Tuning) is a framework that provides a seamless integration of data preprocessing, decomposition, model training, hyperparameter optimization, and evaluation. Unlike other frameworks, TSPredIT emphasizes the co-optimization of both preprocessing and modeling steps, improving predictive performance. It supports a variety of statistical and machine learning models, filtering techniques, outlier detection, data augmentation, and ensemble strategies. More information is available in Salles et al. <doi:10.1007/978-3-662-68014-8_2>.

r-tmvmixnorm 1.2.0
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tmvmixnorm
Licenses: GPL 2
Build system: r
Synopsis: Sampling from Truncated Multivariate Normal and t Distributions
Description:

Efficient sampling of truncated multivariate (scale) mixtures of normals under linear inequality constraints is nontrivial due to the analytically intractable normalizing constant. Meanwhile, traditional methods may subject to numerical issues, especially when the dimension is high and dependence is strong. Algorithms proposed by Li and Ghosh (2015) <doi: 10.1080/15598608.2014.996690> are adopted for overcoming difficulties in simulating truncated distributions. Efficient rejection sampling for simulating truncated univariate normal distribution is included in the package, which shows superiority in terms of acceptance rate and numerical stability compared to existing methods and R packages. An efficient function for sampling from truncated multivariate normal distribution subject to convex polytope restriction regions based on Gibbs sampler for conditional truncated univariate distribution is provided. By extending the sampling method, a function for sampling truncated multivariate Student's t distribution is also developed. Moreover, the proposed method and computation remain valid for high dimensional and strong dependence scenarios. Empirical results in Li and Ghosh (2015) <doi: 10.1080/15598608.2014.996690> illustrated the superior performance in terms of various criteria (e.g. mixing and integrated auto-correlation time).

r-tint 0.1.6
Propagated dependencies: r-rmarkdown@2.31 r-knitr@1.51 r-htmltools@0.5.9
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/eddelbuettel/tint/
Licenses: GPL 3
Build system: r
Synopsis: 'tint' is not 'Tufte'
Description:

This package provides a tufte'-alike style for rmarkdown'. A modern take on the Tufte design for pdf and html vignettes, building on the tufte package with additional contributions from the knitr and ggtufte package, and also acknowledging the key influence of envisioned css'.

r-textrar 0.8.0
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/matutosi/textrar
Licenses: Expat
Build system: r
Synopsis: Interface to 'TexTra' from R
Description:

This package provides a wrapper for the TexTra API <https://mt-auto-minhon-mlt.ucri.jgn-x.jp/>, a web service for translating texts between different languages. TexTra API account is required to use the service.

r-tchazards 1.1.5
Propagated dependencies: r-terra@1.9-27 r-sp@2.2-1 r-rcpp@1.1.1-1.1 r-rastervis@0.51.7 r-raster@3.6-32 r-ncdf4@1.24 r-latticeextra@0.6-31 r-geosphere@1.6-8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/AusClimateService/TCHazaRds
Licenses: GPL 3+
Build system: r
Synopsis: Tropical Cyclone (Hurricane, Typhoon) Spatial Hazard Modelling
Description:

This package provides methods for generating modelled parametric Tropical Cyclone (TC) spatial hazard fields and time series output at point locations from TC tracks. R's compatibility to simply use fast cpp code via the Rcpp package and the wide range spatial analysis tools via the terra package makes it an attractive open source environment to study TCs'. This package estimates TC vortex wind and pressure fields using parametric equations originally coded up in python by TCRM <https://github.com/GeoscienceAustralia/tcrm> and then coded up in Cuda cpp by TCwindgen <https://github.com/CyprienBosserelle/TCwindgen>.

r-tscv 1.0.0
Propagated dependencies: r-tsibble@1.2.0 r-tidytext@0.4.3 r-tidyselect@1.2.1 r-tidyr@1.3.2 r-tibble@3.3.1 r-slider@0.3.3 r-scales@1.4.0 r-rlang@1.2.0 r-qqplotr@0.0.7 r-purrr@1.2.2 r-lubridate@1.9.5 r-ggplot2@4.0.3 r-forecast@9.0.2 r-fabletools@0.8.0 r-dplyr@1.2.1 r-distributional@0.7.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/ahaeusser/tscv
Licenses: GPL 3
Build system: r
Synopsis: Functions and Utilities for Tidy Time Series Forecasting and Time Series Cross-Validation
Description:

This package provides functions and tools for tidy time series analysis and forecasting as well as time series cross-validation. This is mainly a set of wrapper and helper functions as well as some extensions for the packages tsibble', fable', and fabletools'.

r-taxalight 0.1.5
Propagated dependencies: r-thor@1.2.0 r-contentid@0.0.19
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/cboettig/taxalight
Licenses: Expat
Build system: r
Synopsis: Lightweight and Lightning-Fast Taxonomic Naming Interface
Description:

This package creates a local Lightning Memory-Mapped Database ('LMDB') of many commonly used taxonomic authorities and provides functions that can quickly query this data. Supported taxonomic authorities include the Integrated Taxonomic Information System ('ITIS'), National Center for Biotechnology Information ('NCBI'), Global Biodiversity Information Facility ('GBIF'), Catalogue of Life ('COL'), and Open Tree Taxonomy ('OTT'). Name and identifier resolution using LMDB can be hundreds of times faster than either relational databases or internet-based queries. Precise data provenance information for data derived from naming providers is also included.

r-tpxg 1.0
Propagated dependencies: r-rfast2@0.1.5.6
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TPXG
Licenses: GPL 2+
Build system: r
Synopsis: Two Parameter Xgamma & Poisson Xgamma: Regression & Distribution Functions
Description:

The two-parameter Xgamma and Poisson Xgamma distributions are analyzed, covering standard distribution and regression functions, maximum likelihood estimation, quantile functions, probability density and mass functions, cumulative distribution functions, and random number generation. References include: "Sen, S., Chandra, N. and Maiti, S. S. (2018). On properties and applications of a two-parameter XGamma distribution. Journal of Statistical Theory and Applications, 17(4): 674--685. <doi:10.2991/jsta.2018.17.4.9>." "Wani, M. A., Ahmad, P. B., Para, B. A. and Elah, N. (2023). A new regression model for count data with applications to health care data. International Journal of Data Science and Analytics. <doi:10.1007/s41060-023-00453-1>.".

r-trustworthymlr 0.1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TrustworthyMLR
Licenses: Expat
Build system: r
Synopsis: Stability and Robustness Evaluation for Machine Learning Models
Description:

This package provides tools for evaluating the trustworthiness of machine learning models in production and research settings. Computes a Stability Index that quantifies the consistency of model predictions across multiple runs or resamples, and a Robustness Score that measures model resilience under small input perturbations. Designed for data scientists, ML engineers, and researchers who need to monitor and ensure model reliability, reproducibility, and deployment readiness.

r-transition 1.0.3
Propagated dependencies: r-rcpp@1.1.1-1.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://mark-eis.github.io/Transition/
Licenses: Expat
Build system: r
Synopsis: Characterise Transitions in Test Result Status in Longitudinal Studies
Description:

Analyse data from longitudinal studies to characterise changes in values of semi-quantitative outcome variables within individual subjects, using high performance C++ code to enable rapid processing of large datasets. A flexible methodology is available for codifying these state transitions.

r-tiledb 0.33.0
Dependencies: zlib@1.3.1 pcre2@10.42
Propagated dependencies: r-spdl@0.0.5 r-rcppint64@0.0.5 r-rcpp@1.1.1-1.1 r-nanotime@0.3.15 r-nanoarrow@0.8.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/TileDB-Inc/TileDB-R
Licenses: Expat
Build system: r
Synopsis: Modern Database Engine for Complex Data Based on Multi-Dimensional Arrays
Description:

The modern database TileDB introduces a powerful on-disk format for storing and accessing any complex data based on multi-dimensional arrays. It supports dense and sparse arrays, dataframes and key-values stores, cloud storage ('S3', GCS', Azure'), chunked arrays, multiple compression, encryption and checksum filters, uses a fully multi-threaded implementation, supports parallel I/O, data versioning ('time travel'), metadata and groups. It is implemented as an embeddable cross-platform C++ library with APIs from several languages, and integrations. This package provides the R support.

r-tinkr 0.3.1
Propagated dependencies: r-xslt@1.5.1 r-xml2@1.5.2 r-rlang@1.2.0 r-r6@2.6.1 r-purrr@1.2.2 r-magrittr@2.0.5 r-lifecycle@1.0.5 r-glue@1.8.1 r-commonmark@2.0.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://docs.ropensci.org/tinkr/
Licenses: GPL 3
Build system: r
Synopsis: Cast '(R)Markdown' Files to 'XML' and Back Again
Description:

Parsing (R)Markdown files with numerous regular expressions can be fraught with peril, but it does not have to be this way. Converting (R)Markdown files to XML using the commonmark package allows in-memory editing via of markdown elements via XPath through the extensible R6 class called yarn'. These modified XML representations can be written to (R)Markdown documents via an xslt stylesheet which implements an extended version of GitHub'-flavoured markdown so that you can tinker to your hearts content.

r-twowayfeweights 2.1.0
Propagated dependencies: r-rcpp@1.1.1-1.1 r-haven@2.5.5 r-fixest@0.14.1 r-data-table@1.18.4 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/Credible-Answers/twowayfeweights
Licenses: Expat
Build system: r
Synopsis: Estimation of the Weights Attached to the Two-Way Fixed Effects Regressions
Description:

Computes the implicit weights attached to two-way fixed effects regressions, as well as summary measures of these regressions robustness to heterogeneous treatment effects. Based on de Chaisemartin and D'Haultfoeuille (2020) <DOI:10.1257/aer.20181169>.

r-timevis 2.1.0
Propagated dependencies: r-shiny@1.13.0 r-rmarkdown@2.31 r-magrittr@2.0.5 r-jsonlite@2.0.0 r-htmlwidgets@1.6.4 r-htmltools@0.5.9
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/daattali/timevis
Licenses: Expat
Build system: r
Synopsis: Create Interactive Timeline Visualizations in R
Description:

Create rich and fully interactive timeline visualizations. Timelines can be included in Shiny apps or R markdown documents. timevis includes an extensive API to manipulate a timeline after creation, and supports getting data out of the visualization into R. Based on the vis.js Timeline JavaScript library.

r-tippy 0.1.0
Propagated dependencies: r-shiny@1.13.0 r-jsonlite@2.0.0 r-htmlwidgets@1.6.4 r-htmltools@0.5.9
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://tippy.john-coene.com/
Licenses: Expat
Build system: r
Synopsis: Add Tooltips to 'R markdown' Documents or 'Shiny' Apps
Description:

Htmlwidget of Tippyjs to add tooltips to Shiny apps and R markdown documents.

r-types 1.0.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=types
Licenses: Expat
Build system: r
Synopsis: Type Annotations
Description:

This package provides a simple type annotation for R that is usable in scripts, in the R console and in packages. It is intended as a convention to allow other packages to use the type information to provide error checking, automatic documentation or optimizations.

r-truncatedpcqm 0.1.2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/rcjhrpyt-droid/TruncatedPCQM
Licenses: GPL 3+
Build system: r
Synopsis: Density Estimation for Point-Centered Quarter Method with Truncated Sampling
Description:

This package implements a systematic methodology for estimating population density from point-centered quarter method (PCQM) surveys when distance measurements are truncated by a maximum search radius (right-censored). The package provides a unified framework for analyzing such incomplete data, addressing both completely randomly distributed (Poisson) and spatially aggregated (Negative Binomial) populations. Key features include: (1) Adjusted moment-based density estimators for censored distances; (2) Maximum likelihood estimation (MLE) of density under the Poisson (CSR) model; and (3) Simultaneous MLE of density and an aggregation parameter under the Negative Binomial model. For more details, see Huang, Shen, Xing, and Zhao (2026) <doi:10.48550/arXiv.2603.08276>.

r-trafficcar 0.1.1
Propagated dependencies: r-units@1.0-1 r-sf@1.1-1 r-rlang@1.2.0 r-posterior@1.7.0 r-matrix@1.7-5 r-igraph@2.3.1 r-ggplot2@4.0.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=trafficCAR
Licenses: Expat
Build system: r
Synopsis: Bayesian CAR Models for Road-Segment Traffic
Description:

This package provides tools for simulating and modeling traffic flow on road networks using spatial conditional autoregressive (CAR) models. The package represents road systems as graphs derived from OpenStreetMap data <https://www.openstreetmap.org/> and supports network-based spatial dependence, basic preprocessing, and visualization for spatial traffic analysis.

r-transformmos 0.1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=transformmos
Licenses: Expat
Build system: r
Synopsis: Transform MOS Values to be Robust for using Rank Based Statistics
Description:

Implementation of the transformation of the Mean Opinion Scores (MOS) to be used before applying the rank based statistical techniques. The method and its necessity is described in: Babak Naderi, Sebastian Möller (2020) <arXiv:2004.11490>.

r-trc 0.2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://sites.google.com/site/dhyeonyu/software
Licenses: GPL 2+
Build system: r
Synopsis: Truncated Rank Correlation
Description:

This package provides a new measure of similarity between a pair of mass spectrometry (MS) experiments, called truncated rank correlation (TRC). To provide a robust metric of similarity in noisy high-dimensional data, TRC uses truncated top ranks (or top m-ranks) for calculating correlation. Truncated rank correlation as a robust measure of test-retest reliability in mass spectrometry data. For more details see Lim et al. (2019) <doi:10.1515/sagmb-2018-0056>.

r-tsaux 1.0.2
Propagated dependencies: r-zoo@1.8-15 r-xts@0.14.2 r-tsoutliers@0.6-10 r-tsmethods@1.0.3 r-scoringrules@1.1.3 r-rdpack@2.6.6 r-lubridate@1.9.5 r-forecast@9.0.2 r-data-table@1.18.4 r-car@3.1-5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/tsmodels/tsaux
Licenses: GPL 2
Build system: r
Synopsis: Time Series Forecasting Auxiliary Functions
Description:

This package provides a suite of auxiliary functions that enhance time series estimation and forecasting, including a robust anomaly detection routine based on Chen and Liu (1993) <doi:10.2307/2290724> (imported and wrapped from the tsoutliers package), utilities for managing calendar and time conversions, performance metrics to assess both point forecasts and distributional predictions, advanced simulation by allowing the generation of time series componentsâ such as trend, seasonal, ARMA, irregular, and anomaliesâ in a modular fashion based on the innovations form of the state space model and a number of transformation methods including Box-Cox, Logit, Softplus-Logit and Sigmoid.

r-tidync 0.4.0
Propagated dependencies: r-tidyr@1.3.2 r-tibble@3.3.1 r-rnetcdf@2.11-1 r-rlang@1.2.0 r-purrr@1.2.2 r-ncmeta@0.4.0 r-ncdf4@1.24 r-magrittr@2.0.5 r-forcats@1.0.1 r-dplyr@1.2.1 r-cftime@1.7.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://docs.ropensci.org/tidync/
Licenses: GPL 3
Build system: r
Synopsis: Tidy Approach to 'NetCDF' Data Exploration and Extraction
Description:

Tidy tools for NetCDF data sources. Explore the contents of a NetCDF source (file or URL) presented as variables organized by grid with a database-like interface. The hyper_filter() interactive function translates the filter value or index expressions to array-slicing form. No data is read until explicitly requested, as a data frame or list of arrays via hyper_tibble() or hyper_array().

Total packages: 22167