_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-tremendousr 1.0.0
Propagated dependencies: r-jsonlite@2.0.0 r-crul@1.6.0 r-crayon@1.5.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tremendousr
Licenses: Expat
Build system: r
Synopsis: Easily Send Rewards and Incentives with 'Tremendous' from R
Description:

This package provides a slightly-opinionated R interface for the Tremendous API (<https://www.tremendous.com/>). In addition to supporting GET and POST requests, tremendousr has, dare I say, tremendously intuitive functions for sending digital rewards and incentives directly from R.

r-tenm 0.5.1
Propagated dependencies: r-tidyr@1.3.1 r-terra@1.8-86 r-stringr@1.6.0 r-sf@1.0-23 r-rgl@1.3.31 r-purrr@1.2.0 r-mass@7.3-65 r-lubridate@1.9.4 r-future@1.68.0 r-furrr@0.3.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://luismurao.github.io/tenm/
Licenses: GPL 3
Build system: r
Synopsis: Temporal Ecological Niche Models
Description:

This package implements methods and functions to calibrate time-specific niche models (multi-temporal calibration), letting users execute a strict calibration and selection process of niche models based on ellipsoids, as well as functions to project the potential distribution in the present and in global change scenarios.The tenm package has functions to recover information that may be lost or overlooked while applying a data curation protocol. This curation involves preserving occurrences that may appear spatially redundant (occurring in the same pixel) but originate from different time periods. A novel aspect of this package is that it might reconstruct the fundamental niche more accurately than mono-calibrated approaches. The theoretical background of the package can be found in Peterson et al. (2011)<doi:10.5860/CHOICE.49-6266>.

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@1.7-4 r-gmodels@2.19.1 r-futile-logger@1.4.3 r-data-table@1.17.8 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-timelines 0.1.1
Propagated dependencies: r-magrittr@2.0.4 r-lubridate@1.9.4 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/daheelee/timelineS
Licenses: GPL 2
Build system: r
Synopsis: Timeline and Time Duration-Related Tools
Description:

An easy tool for plotting annotated timelines, grouped timelines, and exploratory graphics (boxplot/histogram/density plot/scatter plot/line plot). Filter, summarize date data by duration and convert to calendar units.

r-toonlite 0.1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/aljrico/toonlite
Licenses: Expat
Build system: r
Synopsis: Read, Write, Validate, Stream, and Convert TOON Data
Description:

This package provides a minimal-dependency, performance-first R package for reading, writing, validating, streaming, and converting TOON (Token-Oriented Object Notation) data. Optimized for very large tabular files with robust diagnostics. Supports lossless JSON conversion and tabular CSV/Parquet/Feather conversion.

r-tinytable 0.16.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://vincentarelbundock.github.io/tinytable/
Licenses: GPL 3+
Build system: r
Synopsis: Simple and Configurable Tables in 'HTML', 'LaTeX', 'Markdown', 'Word', 'PNG', 'PDF', and 'Typst' Formats
Description:

Create highly customized tables with this simple and dependency-free package. Data frames can be converted to HTML', LaTeX', Markdown', Word', PNG', PDF', or Typst tables. The user interface is minimalist and easy to learn. The syntax is concise. HTML tables can be customized using the flexible Bootstrap framework, and LaTeX code with the tabularray package.

r-transurv 1.2.4
Propagated dependencies: r-truncsp@1.2.4 r-survival@3.8-3 r-squarem@2021.1 r-rootsolve@1.8.2.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/stc04003/tranSurv
Licenses: GPL 3+
Build system: r
Synopsis: Transformation-Based Regression under Dependent Truncation
Description:

This package provides a latent, quasi-independent truncation time is assumed to be linked with the observed dependent truncation time, the event time, and an unknown transformation parameter via a structural transformation model. The transformation parameter is chosen to minimize the conditional Kendall's tau (Martin and Betensky, 2005) <doi:10.1198/016214504000001538> or the regression coefficient estimates (Jones and Crowley, 1992) <doi:10.2307/2336782>. The marginal distribution for the truncation time and the event time are completely left unspecified. The methodology is applied to survival curve estimation and regression analysis.

r-testingsimilarity 1.1
Propagated dependencies: r-lattice@0.22-7 r-dosefinding@1.4-1 r-alabama@2023.1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TestingSimilarity
Licenses: GPL 3
Build system: r
Synopsis: Bootstrap Test for the Similarity of Dose Response Curves Concerning the Maximum Absolute Deviation
Description:

This package provides a bootstrap test which decides whether two dose response curves can be assumed as equal concerning their maximum absolute deviation. A plenty of choices for the model types are available, which can be found in the DoseFinding package, which is used for the fitting of the models. See <doi:10.1080/01621459.2017.1281813> for details.

r-tar 1.0
Propagated dependencies: r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TAR
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Modeling of Autoregressive Threshold Time Series Models
Description:

Identification and estimation of the autoregressive threshold models with Gaussian noise, as well as positive-valued time series. The package provides the identification of the number of regimes, the thresholds and the autoregressive orders, as well as the estimation of remain parameters. The package implements the methodology from the 2005 paper: Modeling Bivariate Threshold Autoregressive Processes in the Presence of Missing Data <DOI:10.1081/STA-200054435>.

r-t4cluster 0.1.4
Propagated dependencies: r-scatterplot3d@0.3-44 r-rstiefel@1.0.1 r-rdpack@2.6.4 r-rdimtools@1.1.3 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mclustcomp@0.3.5 r-mass@7.3-65 r-maotai@0.3.0 r-lpsolve@5.6.23 r-ggplot2@4.0.1 r-fda@6.3.0 r-admm@0.3.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://www.kisungyou.com/T4cluster/
Licenses: Expat
Build system: r
Synopsis: Tools for Cluster Analysis
Description:

Cluster analysis is one of the most fundamental problems in data science. We provide a variety of algorithms from clustering to the learning on the space of partitions. See Hennig, Meila, and Rocci (2016, ISBN:9781466551886) for general exposition to cluster analysis.

r-tsmodel 0.6-2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tsModel
Licenses: GPL 2+
Build system: r
Synopsis: Time Series Modeling for Air Pollution and Health
Description:

This package provides tools for specifying time series regression models.

r-trotter 0.6
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=trotter
Licenses: GPL 3
Build system: r
Synopsis: Pseudo-Vectors Containing All Permutations, Combinations and Subsets of Objects Taken from a Vector
Description:

Class definitions and constructors for pseudo-vectors containing all permutations, combinations and subsets of objects taken from a vector. Simplifies working with structures commonly encountered in combinatorics.

r-taba 1.0.0
Propagated dependencies: r-robustbase@0.99-6
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=Taba
Licenses: GPL 3
Build system: r
Synopsis: Taba Robust Correlations
Description:

Calculates the robust Taba linear, Taba rank (monotonic), TabWil, and TabWil rank correlations. Test statistics as well as one sided or two sided p-values are provided for all correlations. Multiple correlations and p-values can be calculated simultaneously across multiple variables. In addition, users will have the option to use the partial, semipartial, and generalized partial correlations; where the partial and semipartial correlations use linear, logistic, or Poisson regression to modify the specified variable.

r-trialsimulator 1.7.0
Propagated dependencies: r-survival@3.8-3 r-rstudioapi@0.17.1 r-rpact@4.3.0 r-rlang@1.1.6 r-r6@2.6.1 r-mvtnorm@1.3-3 r-htmltools@0.5.8.1 r-gmcplite@0.1.6 r-ggplot2@4.0.1 r-emmeans@2.0.0 r-dplyr@1.1.4 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://zhangh12.github.io/TrialSimulator/
Licenses: Expat
Build system: r
Synopsis: Clinical Trial Simulator
Description:

Simulate phase II and/or phase III clinical trials. It supports various types of endpoints and adaptive strategies. Tools for carrying out graphical testing procedure and combination test under group sequential design are also provided.

r-templr 0.2-3
Propagated dependencies: r-xml2@1.5.0 r-remotes@2.5.0 r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/MASCOTNUM/templr
Licenses: FSDG-compatible
Build system: r
Synopsis: MASCOTNUM / RT-UQ Algorithms Template Tools
Description:

Helper functions for MASCOTNUM / RT-UQ <https://uq.math.cnrs.fr/> algorithm template, for design of numerical experiments practice: algorithm template parser to support MASCOTNUM specification <https://github.com/MASCOTNUM/algorithms>, ask & tell decoupling injection (inspired by <https://search.r-project.org/CRAN/refmans/sensitivity/html/decoupling.html>) to use "crimped" algorithms (like uniroot(), optim(), ...) from outside R, basic template examples: Brent algorithm for 1 dim root finding and L-BFGS-B from base optim().

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-tidyboot 0.1.1
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-purrr@1.2.0 r-modelr@0.1.11 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/langcog/tidyboot
Licenses: GPL 3
Build system: r
Synopsis: Tidyverse-Compatible Bootstrapping
Description:

Compute arbitrary non-parametric bootstrap statistics on data in tidy data frames.

r-trigon 0.3.3
Propagated dependencies: r-writexl@1.5.4 r-simpleboot@1.1-8 r-shinywidgets@0.9.0 r-shinydashboardplus@2.0.6 r-shinydashboard@0.7.3 r-shiny@1.11.1 r-sessioninfo@1.2.3 r-readxl@1.4.5 r-rcolorbrewer@1.1-3 r-randomforest@4.7-1.2 r-patchwork@1.3.2 r-markdown@2.0 r-ggridges@0.5.7 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-ggcorrplot@0.1.4.1 r-factoextra@1.0.7 r-dt@0.34.0 r-dplyr@1.1.4 r-data-table@1.17.8 r-caret@7.0-1 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tRigon
Licenses: GPL 3+
Build system: r
Synopsis: Toolbox for Integrative Pathomics Analysis
Description:

Processing and analysis of pathomics, omics and other medical datasets. tRigon serves as a toolbox for descriptive and statistical analysis, correlations, plotting and many other methods for exploratory analysis of high-dimensional datasets.

r-transplotr 0.0.2
Propagated dependencies: r-tidyverse@2.0.0 r-purrr@1.2.0 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-ggarchery@0.4.4 r-geomtextpath@0.2.0 r-dplyr@1.1.4 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/junjunlab/transPlotR
Licenses: Expat
Build system: r
Synopsis: Visualize Transcript Structures in Elegant Way
Description:

To visualize the gene structure with multiple isoforms better, I developed this package to draw different transcript structures easily.

r-toastui 0.4.0
Propagated dependencies: r-shinywidgets@0.9.0 r-shiny@1.11.1 r-rlang@1.1.6 r-phosphoricons@0.2.1 r-magrittr@2.0.4 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://dreamrs.github.io/toastui/
Licenses: Expat
Build system: r
Synopsis: Interactive Tables, Calendars and Charts for the Web
Description:

Create interactive tables, calendars, charts and markdown WYSIWYG editor with TOAST UI <https://ui.toast.com/> libraries to integrate in shiny applications or rmarkdown HTML documents.

r-tigris 2.2.1
Propagated dependencies: r-uuid@1.2-1 r-stringr@1.6.0 r-sf@1.0-23 r-rappdirs@0.3.3 r-magrittr@2.0.4 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/walkerke/tigris
Licenses: Expat
Build system: r
Synopsis: Load Census TIGER/Line Shapefiles
Description:

Download TIGER/Line shapefiles from the United States Census Bureau (<https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html>) and load into R as sf objects.

r-timelinegraphics 1.0
Propagated dependencies: r-r2html@2.3.4 r-pdftools@3.6.0 r-magick@2.9.0 r-berryfunctions@1.22.13
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=timeLineGraphics
Licenses: GPL 2+
Build system: r
Synopsis: HTML with Horizontal Strips Symbolizing Events in a Person's Life
Description:

Produce an HTML page containing horizontal strips that symbolize events in a person's lsife. Since this is entirely a visualization, the image <https://barryzee.github.io/henry-timeline/henry.html> will show the basic use to show a timeline of events. The image <https://barryzee.github.io/vermeer/cssOverlay.html> shows how to correlate two timelines of events. A brief description is available at <https://barryzee.github.io/timeLineGraphics_manuscript/golden_age.html>.

r-tseriestarma 0.5-1
Propagated dependencies: r-zoo@1.8-14 r-rugarch@1.5-4 r-rsolnp@2.0.1 r-rdpack@2.6.4 r-matrix@1.7-4 r-mathjaxr@1.8-0 r-lbfgsb3c@2024-3.5 r-fitdistrplus@1.2-4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tseriesTARMA
Licenses: GPL 2+
Build system: r
Synopsis: Analysis of Nonlinear Time Series Through Threshold Autoregressive Moving Average Models (TARMA) Models
Description:

Routines for nonlinear time series analysis based on Threshold Autoregressive Moving Average (TARMA) models. It provides functions and methods for: TARMA model fitting and forecasting, including robust estimators, see Goracci et al. JBES (2025) <doi:10.1080/07350015.2024.2412011>; tests for threshold effects, see Giannerini et al. JoE (2024) <doi:10.1016/j.jeconom.2023.01.004>, Goracci et al. Statistica Sinica (2023) <doi:10.5705/ss.202021.0120>, Angelini et al. (2024) <doi:10.48550/arXiv.2308.00444>; unit-root tests based on TARMA models, see Chan et al. Statistica Sinica (2024) <doi:10.5705/ss.202022.0125>.

r-trtf 0.4-3
Propagated dependencies: r-variables@1.1-2 r-tram@1.3-2 r-sandwich@3.1-1 r-partykit@1.2-24 r-mlt@1.7-3 r-libcoin@1.0-10 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: http://ctm.R-forge.R-project.org
Licenses: GPL 2
Build system: r
Synopsis: Transformation Trees and Forests
Description:

Recursive partytioning of transformation models with corresponding random forest for conditional transformation models as described in Transformation Forests (Hothorn and Zeileis, 2021, <doi:10.1080/10618600.2021.1872581>) and Top-Down Transformation Choice (Hothorn, 2018, <DOI:10.1177/1471082X17748081>).

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