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

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-twocutoff 0.1.0
Propagated dependencies: r-xgboost@3.2.1.1 r-proc@1.19.0.1 r-patchwork@1.3.2 r-mixtools@2.0.0.1 r-gridextra@2.3 r-ggplot2@4.0.3 r-dplyr@1.2.1 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TwoCutoff
Licenses: Expat
Build system: r
Synopsis: Deriving Clinically Interpretable Cutoffs for Disease Biomarkers
Description:

This package provides a reproducible pipeline for deriving two clinically meaningful cutoffs for disease biomarkers using a unified two-stage framework. The package integrates finite mixture modeling with risk prediction using biomarker plus clinical features, followed by decision curve analysis to evaluate clinical utility. Outputs include biomarker density plots, risk calibration curves, decision curves, and summary tables of diagnostic performance. Designed for researchers in bio-statistics, neurology, and data science, this package emphasizes reproducibility, transparency, and clear clinical relevance.

r-tidywikidatar 0.6.2
Propagated dependencies: r-vctrs@0.7.3 r-tidyr@1.3.2 r-tibble@3.3.1 r-stringr@1.6.0 r-rsqlite@3.52.0 r-rlang@1.2.0 r-purrr@1.2.2 r-progress@1.2.3 r-pool@1.0.5 r-magrittr@2.0.5 r-jsonlite@2.0.0 r-httr2@1.2.2 r-glue@1.8.1 r-fs@2.1.0 r-dplyr@1.2.1 r-dbi@1.3.0 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://edjnet.github.io/tidywikidatar/
Licenses: Expat
Build system: r
Synopsis: Explore 'Wikidata' Through Tidy Data Frames
Description:

Query Wikidata API <https://www.wikidata.org/wiki/Wikidata:Main_Page> with ease, get tidy data frames in response, and cache data in a local database.

r-taqmngr 2018.5-1
Dependencies: zlib@1.3.1
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://cran.r-project.org/package=TAQMNGR
Licenses: GPL 2+
Build system: r
Synopsis: Manage Tick-by-Tick Transaction Data
Description:

Manager of tick-by-tick transaction data that performs cleaning', aggregation and import in an efficient and fast way. The package engine, written in C++, exploits the zlib and gzstream libraries to handle gzipped data without need to uncompress them. Cleaning and aggregation are performed according to Brownlees and Gallo (2006) <DOI:10.1016/j.csda.2006.09.030>. Currently, TAQMNGR processes raw data from WRDS (Wharton Research Data Service, <https://wrds-web.wharton.upenn.edu/wrds/>).

r-trendtwosub 0.0.2
Propagated dependencies: r-usethis@3.2.1 r-magrittr@2.0.5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=Trendtwosub
Licenses: GPL 2+
Build system: r
Synopsis: Two Sample Order Free Trend Nonparametric Inference
Description:

Non-parametric trend comparison of two independent samples with sequential subsamples. For more details, please refer to Wang, Stapleton, and Chen (2018) <doi:10.1080/00949655.2018.1482492>.

r-twodiref 0.1.0
Propagated dependencies: r-sp@2.2-1 r-shiny@1.13.0 r-scales@1.4.0 r-qgam@2.0.0 r-mgcv@1.9-4 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=TwoDiRef
Licenses: GPL 3
Build system: r
Synopsis: Robust Estimation of Conditional 2D Reference Regions
Description:

This package provides tools for constructing conditional two-dimensional reference regions in continuous data, particularly suited for clinical, biological, or epidemiological studies requiring robust multivariate assessment. The implemented methodology combines directional quantiles with medianâ based partial correlation models to produce reliable and interpretable reference regions even in the presence of outliers. Key features include robust conditional modeling for two responses conditioned on covariates, directional quantile regions, crossâ validation of coverage, visualization tools, and flexible formulaâ based inputs.

r-tidysummary 0.1.0
Propagated dependencies: r-tidyr@1.3.2 r-tidyplots@0.4.0 r-tibble@3.3.1 r-stringr@1.6.0 r-rlang@1.2.0 r-qqplotr@0.0.7 r-glue@1.8.1 r-fbasics@4052.98 r-dplyr@1.2.1 r-cli@3.6.6 r-car@3.1-5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tidysummary
Licenses: Expat
Build system: r
Synopsis: An Elegant Approach to Summarizing Clinical Data
Description:

Streamlines the analysis of clinical data by automatically selecting appropriate statistical descriptions and inference methods based on variable types. For method details see Motulsky H J (2016) <https://www.graphpad.com/guides/prism/10/statistics/index.htm> and d'Agostino R B (1971) <doi:10.1093/biomet/58.2.341>.

r-tgcd 2.7
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://CRAN.R-project.org/package=tgcd
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Thermoluminescence Glow Curve Deconvolution
Description:

Deconvolving thermoluminescence glow curves according to various kinetic models (first-order, second-order, general-order, and mixed-order) using a modified Levenberg-Marquardt algorithm (More, 1978) <DOI:10.1007/BFb0067700>. It provides the possibility of setting constraints or fixing any of parameters. It offers an interactive way to initialize parameters by clicking with a mouse on a plot at positions where peak maxima should be located. The optimal estimate is obtained by "trial-and-error". It also provides routines for simulating first-order, second-order, and general-order glow peaks.

r-terntables 1.7.2
Propagated dependencies: r-writexl@1.5.4 r-withr@3.0.2 r-tibble@3.3.1 r-stringr@1.6.0 r-rstatix@0.7.3 r-rlang@1.2.0 r-officer@0.7.5 r-multcompview@0.1-11 r-magrittr@2.0.5 r-flextable@0.9.11 r-epitools@0.5-10.1 r-dplyr@1.2.1 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TernTables
Licenses: Expat
Build system: r
Synopsis: Automated Statistical Analysis and Table Generation for Biomedical Research
Description:

Generates publication-ready summary tables for clinical research, supporting descriptive summaries and comparisons across two or three groups. The package streamlines the analytical workflow by detecting variable types and applying appropriate statistical tests (Welch t-test, Wilcoxon rank-sum, Welch ANOVA, Kruskal-Wallis, Chi-squared, or Fisher's exact test). Results are formatted as tibble objects and can be exported to Word or Excel using the officer', flextable', and writexl packages. Optional pairwise post-hoc testing for three-group comparisons (Games-Howell and Dunn's test) is available via the rstatix package. Example data are derived from the landmark adjuvant colon cancer trial described in Moertel et al. (1990) <doi:10.1056/NEJM199002083220602>.

r-text2map 0.2.3
Propagated dependencies: r-tibble@3.3.1 r-text2vec@0.6.6 r-stringi@1.8.7 r-rsvd@1.0.5 r-rlang@1.2.0 r-qgraph@1.9.8 r-pillar@1.11.1 r-permute@0.9-10 r-matrix@1.7-5 r-kit@0.0.21 r-igraph@2.3.1 r-foreach@1.5.2 r-fastmatch@1.1-8 r-dplyr@1.2.1 r-doparallel@1.0.17 r-clusterr@1.3.6 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://culturalcartography.gitlab.io/text2map
Licenses: Expat
Build system: r
Synopsis: R Tools for Text Matrices, Embeddings, and Networks
Description:

This is a collection of functions optimized for working with with various kinds of text matrices. Focusing on the text matrix as the primary object - represented either as a base R dense matrix or a Matrix package sparse matrix - allows for a consistent and intuitive interface that stays close to the underlying mathematical foundation of computational text analysis. In particular, the package includes functions for working with word embeddings, text networks, and document-term matrices. Methods developed in Stoltz and Taylor (2019) <doi:10.1007/s42001-019-00048-6>, Taylor and Stoltz (2020) <doi:10.1007/s42001-020-00075-8>, Taylor and Stoltz (2020) <doi:10.15195/v7.a23>, and Stoltz and Taylor (2021) <doi:10.1016/j.poetic.2021.101567>.

r-treeheatr 0.2.3
Propagated dependencies: r-yardstick@1.4.0 r-tidyr@1.3.2 r-seriation@1.5.8 r-partykit@1.2-27 r-gtable@0.3.6 r-ggplot2@4.0.3 r-ggparty@1.0.0.1 r-ggnewscale@0.5.2 r-dplyr@1.2.1 r-cluster@2.1.8.2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://trangdata.github.io/treeheatr/index.html
Licenses: Expat
Build system: r
Synopsis: Heatmap-Integrated Decision Tree Visualizations
Description:

This package creates interpretable decision tree visualizations with the data represented as a heatmap at the tree's leaf nodes. treeheatr utilizes the customizable ggparty package for drawing decision trees.

r-twenty48 0.2.1
Propagated dependencies: r-rstudioapi@0.18.0 r-r6@2.6.1 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/rossellhayes/twenty48
Licenses: Expat
Build system: r
Synopsis: Play a Game of 2048 in the Console
Description:

Generates a game of 2048 that can be played in the console. Supports grids of arbitrary sizes, undoing the last move, and resuming a game that was exited during the current session.

r-twopexp 0.1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=twopexp
Licenses: GPL 3
Build system: r
Synopsis: The Two Parameter Exponential Distribution
Description:

Density, distribution function, quantile function, and random generation function, maximum likelihood estimation (MLE), penalized maximum likelihood estimation (PMLE), the quartiles method estimation (QM), and median rank estimation (MEDRANK) for the two-parameter exponential distribution. MLE and PMLE are based on Mengjie Zheng (2013)<https://scse.d.umn.edu/sites/scse.d.umn.edu/files/mengjie-thesis_masters-1.pdf>. QM is based on Entisar Elgmati and Nadia Gregni (2016)<doi:10.5539/ijsp.v5n5p12>. MEDRANK is based on Matthew Reid (2022)<doi:10.5281/ZENODO.3938000>.

r-tangram 0.8.3
Propagated dependencies: r-stringr@1.6.0 r-stringi@1.8.7 r-r6@2.6.1 r-magrittr@2.0.5 r-knitr@1.51 r-htmltools@0.5.9 r-digest@0.6.39 r-base64enc@0.1-6
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/spgarbet/tangram
Licenses: GPL 3
Build system: r
Synopsis: The Grammar of Tables
Description:

This package provides an extensible formula system to quickly and easily create production quality tables. The processing steps are a formula parser, statistical content generation from data as defined by formula, followed by rendering into a table. Each step of the processing is separate and user definable thus creating a set of composable building blocks for highly customizable table generation. A user is not limited by any of the choices of the package creator other than the formula grammar. For example, one could chose to add a different S3 rendering function and output a format not provided in the default package, or possibly one would rather have Gini coefficients for their statistical content in a resulting table. Routines to achieve New England Journal of Medicine style, Lancet style and Hmisc::summaryM() statistics are provided. The package contains rendering for HTML5, Rmarkdown and an indexing format for use in tracing and tracking are provided.

r-tdr 0.14
Propagated dependencies: r-rcolorbrewer@1.1-3 r-lattice@0.22-9 r-ggplot2@4.0.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://codeberg.org/oscarperpinan/tdr/
Licenses: GPL 2
Build system: r
Synopsis: Target Diagram
Description:

Implementation of target diagrams using lattice and ggplot2 graphics. Target diagrams provide a graphical overview of the respective contributions of the unbiased RMSE and MBE to the total RMSE (Jolliff, J. et al., 2009. "Summary Diagrams for Coupled Hydrodynamic-Ecosystem Model Skill Assessment." Journal of Marine Systems 76: 64â 82.).

r-terrainr 0.7.6
Propagated dependencies: r-units@1.0-1 r-unifir@0.2.4 r-terra@1.9-27 r-sf@1.1-1 r-rlang@1.2.0 r-png@0.1-9 r-magick@2.9.1 r-httr@1.4.8 r-glue@1.8.1 r-ggplot2@4.0.3 r-base64enc@0.1-6
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://docs.ropensci.org/terrainr/
Licenses: Expat
Build system: r
Synopsis: Landscape Visualizations in R and 'Unity'
Description:

This package provides functions for the retrieval, manipulation, and visualization of geospatial data, with an aim towards producing 3D landscape visualizations in the Unity 3D rendering engine. Functions are also provided for retrieving elevation data and base map tiles from the USGS National Map <https://apps.nationalmap.gov/services/>.

r-tablesgg 0.9-1
Propagated dependencies: r-tables@0.9.33 r-ggplot2@4.0.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/rrprf/tablesgg
Licenses: GPL 3+
Build system: r
Synopsis: Presentation-Quality Tables, Displayed Using 'ggplot2'
Description:

Presentation-quality tables are displayed as plots on an R graphics device. Although there are other packages that format tables for display, this package is unique in combining two features: (a) It is aware of the logical structure of the table being presented, and makes use of that for automatic layout and styling of the table. This avoids the need for most manual adjustments to achieve an attractive result. (b) It displays tables using ggplot2 graphics. Therefore a table can be presented anywhere a graph could be, with no more effort. External software such as LaTeX or HTML or their viewers is not required. The package provides a full set of tools to control the style and appearance of tables, including titles, footnotes and reference marks, horizontal and vertical rules, and spacing of rows and columns. Methods are included to display matrices; data frames; tables created by R's ftable(), table(), and xtabs() functions; and tables created by the tables and xtable packages. Methods can be added to display other table-like objects. A vignette is included that illustrates usage and options available in the package.

r-terralink 1.8.0
Propagated dependencies: r-terra@1.9-27 r-stars@0.7-2 r-sf@1.1-1 r-r6@2.6.1 r-igraph@2.3.1 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/sorus-tools/terralink-r
Licenses: Expat
Build system: r
Synopsis: Connectivity Corridor Optimization for Raster and Vector Data
Description:

Standalone R implementation of habitat connectivity corridor optimization for raster and vector workflows. Supports scenario-based planning with budget-constrained optimization, optional impassable areas, packaged parity fixtures, and comparative before-and-after connectivity metrics. The package exposes structural, movement-oriented, and species-oriented strategies in a reproducible workflow aligned with a companion GIS plugin while avoiding a desktop GIS dependency.

r-tca 1.2.1
Propagated dependencies: r-rsvd@1.0.5 r-quadprog@1.5-8 r-pracma@2.4.6 r-pbapply@1.7-4 r-nloptr@2.2.1 r-matrixstats@1.5.0 r-matrixcalc@1.0-6 r-matrix@1.7-5 r-gmodels@2.19.1 r-futile-logger@1.4.9 r-data-table@1.18.4 r-config@0.3.2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://www.nature.com/articles/s41467-019-11052-9
Licenses: GPL 3
Build system: r
Synopsis: Tensor Composition Analysis
Description:

Tensor Composition Analysis (TCA) allows the deconvolution of two-dimensional data (features by observations) coming from a mixture of heterogeneous sources into a three-dimensional matrix of signals (features by observations by sources). The TCA framework further allows to test the features in the data for different statistical relations with an outcome of interest while modeling source-specific effects; particularly, it allows to look for statistical relations between source-specific signals and an outcome. For example, TCA can deconvolve bulk tissue-level DNA methylation data (methylation sites by individuals) into a three-dimensional tensor of cell-type-specific methylation levels for each individual (i.e. methylation sites by individuals by cell types) and it allows to detect cell-type-specific statistical relations (associations) with phenotypes. For more details see Rahmani et al. (2019) <DOI:10.1038/s41467-019-11052-9>.

r-tensorsparse 3.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tensorsparse
Licenses: GPL 2+
Build system: r
Synopsis: Multiway Clustering via Tensor Block Models
Description:

This package implements the multiway sparse clustering approach of M. Wang and Y. Zeng, "Multiway clustering via tensor block models". Advances in Neural Information Processing System 32 (NeurIPS), 715-725, 2019.

r-teal-data 0.8.0
Propagated dependencies: r-teal-code@0.7.1 r-rlang@1.2.0 r-lifecycle@1.0.5 r-checkmate@2.3.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://insightsengineering.github.io/teal.data/
Licenses: ASL 2.0
Build system: r
Synopsis: Data Model for 'teal' Applications
Description:

This package provides a teal_data class as a unified data model for teal applications focusing on reproducibility and relational data.

r-tsdf 1.1-9
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tsdf
Licenses: GPL 2
Build system: r
Synopsis: Two-/Three-Stage Designs for Phase 1&2 Clinical Trials
Description:

Calculates Zhong's optimal two-/three-stage Phase II designs for single-arm trials, generates target-toxicity decision tables for two-/three-stage Phase I dose-finding, and supports dose-finding simulations using custom decision tables. The Phase II design is based on Zhong (2012) <doi:10.1016/j.cct.2012.07.006>.

r-testthatdocs 1.0.23
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/urniaz/testthatdocs
Licenses: Expat
Build system: r
Synopsis: Automated and Idempotent Unit Tests Documentation for Reproducible Quality Assurance
Description:

Automates documentation of test_that() calls within R test files. The package scans test sources, extracts human-readable test titles (even when composed with functions like paste() or glue::glue(), ... etc.), and generates reproducible roxygen2-style listings that can be inserted both globally and per-section. It ensures idempotent updates and supports customizable numbering templates with hierarchical indices. Designed for developers, QA teams, and package maintainers seeking consistent, self-documenting test inventories.

r-trafficbde 0.1.2
Propagated dependencies: r-zoo@1.8-15 r-rcurl@1.98-1.18 r-lubridate@1.9.5 r-dplyr@1.2.1 r-descriptivestats-obeu@1.3.2 r-data-table@1.18.4 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/okgreece/TrafficBDE
Licenses: GPL 2 FSDG-compatible
Build system: r
Synopsis: Traffic Predictions Using Neural Networks
Description:

Estimate and return either the traffic speed or the car entries in the city of Thessaloniki using historical traffic data. It's used in transport pilot of the BigDataEurope project. There are functions for processing these data, training a neural network, select the most appropriate model and predict the traffic speed or the car entries for a selected time date.

r-taxanorm 2.4
Propagated dependencies: r-vegan@2.7-3 r-s4vectors@0.50.1 r-pscl@1.5.9 r-phyloseq@1.56.0 r-parallelly@1.47.0 r-microbiome@1.34.0 r-matrixstats@1.5.0 r-mass@7.3-65 r-ggplot2@4.0.3 r-future-apply@1.20.2 r-future@1.70.0 r-biocgenerics@0.58.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/wangziyue57/TaxaNorm
Licenses: GPL 3
Build system: r
Synopsis: Feature-Wise Normalization for Microbiome Sequencing Data
Description:

This package provides a novel feature-wise normalization method based on a zero-inflated negative binomial model. This method assumes that the effects of sequencing depth vary for each taxon on their mean and also incorporates a rational link of zero probability and taxon dispersion as a function of sequencing depth. Ziyue Wang, Dillon Lloyd, Shanshan Zhao, Alison Motsinger-Reif (2023) <doi:10.1101/2023.10.31.563648>.

Total packages: 72450