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

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-tidetables 0.0.3
Propagated dependencies: r-data-table@1.17.8 r-chron@2.3-62
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TideTables
Licenses: GPL 3
Build system: r
Synopsis: Tide Analysis and Prediction of Predominantly Semi-Diurnal Tides
Description:

Tide analysis and prediction of predominantly semi-diurnal tides with two high waters and two low waters during one lunar day (~24.842 hours, ~1.035 days). The analysis should preferably cover an observation period of at least 19 years. For shorter periods, for example, the nodal cycle can not be taken into account, which particularly affects the height calculation. The main objective of this package is to produce tide tables.

r-tidybins 0.1.2
Propagated dependencies: r-xgboost@1.7.11.1 r-tidyselect@1.2.1 r-tibble@3.3.0 r-stringr@1.6.0 r-strex@2.0.1 r-scales@1.4.0 r-rlist@0.4.6.2 r-rlang@1.1.6 r-purrr@1.2.0 r-oner@2.2 r-magrittr@2.0.4 r-lubridate@1.9.4 r-janitor@2.2.1 r-ggplot2@4.0.1 r-framecleaner@0.2.1 r-dplyr@1.1.4 r-clusterr@1.3.5 r-badger@0.2.5 r-autostats@0.4.2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://harrison4192.github.io/tidybins/
Licenses: GPL 3+
Build system: r
Synopsis: Make Tidy Bins
Description:

Multiple ways to bin numeric columns with a tidy output. Wraps a variety of existing binning methods into one function, and includes a new method for binning by equal value, which is useful for sales data. Provides a function to automatically summarize the properties of the binned columns.

r-texcheckr 0.8.1
Propagated dependencies: r-zoo@1.8-14 r-rstudioapi@0.17.1 r-magrittr@2.0.4 r-hutils@2.0.0 r-hunspell@3.0.6 r-fastmatch@1.1-6 r-data-table@1.17.8 r-crayon@1.5.3 r-clisymbols@1.2.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/HughParsonage/TeXCheckR
Licenses: GPL 2
Build system: r
Synopsis: Parses LaTeX Documents for Errors
Description:

Checks LaTeX documents and .bib files for typing errors, such as spelling errors, incorrect quotation marks. Also provides useful functions for parsing and linting bibliography files.

r-textminer 3.0.6
Propagated dependencies: r-text2vec@0.6.4 r-stringr@1.6.0 r-stopwords@2.3 r-rspectra@0.16-2 r-rcppprogress@0.4.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-magrittr@2.0.4 r-gtools@3.9.5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://www.rtextminer.com/
Licenses: Expat
Build system: r
Synopsis: Functions for Text Mining and Topic Modeling
Description:

An aid for text mining in R, with a syntax that should be familiar to experienced R users. Provides a wrapper for several topic models that take similarly-formatted input and give similarly-formatted output. Has additional functionality for analyzing and diagnostics for topic models.

r-treediagram 0.1.1
Propagated dependencies: r-tree@1.0-45 r-stringr@1.6.0 r-ggplot2@4.0.1 r-cowplot@1.2.0 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TreeDiagram
Licenses: FSDG-compatible
Build system: r
Synopsis: Tree Diagram
Description:

Visualizing cuts for either axis-align or non axis-align tree methods (e.g. decision tree, random tessellation process).

r-trps 0.1.0
Propagated dependencies: r-lifecycle@1.0.4 r-dplyr@1.1.4 r-cli@3.6.5 r-brms@2.23.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://benjaminhlina.github.io/trps/
Licenses: CC0
Build system: r
Synopsis: Bayesian Trophic Position Models using 'stan'
Description:

Bayesian trophic position models using stan by leveraging brms for stable isotope data. Trophic position models are derived by using equations from Post (2002) <doi:10.1890/0012-9658(2002)083[0703:USITET]2.0.CO;2>, Vander Zanden and Vadeboncoeur (2002) <doi:10.1890/0012-9658(2002)083[2152:FAIOBA]2.0.CO;2>, and Heuvel et al. (2024) <doi:10.1139/cjfas-2024-0028>.

r-tfio 0.4.1
Propagated dependencies: r-tfdatasets@2.18.0 r-tensorflow@2.20.0 r-reticulate@1.44.1 r-magrittr@2.0.4 r-forge@0.2.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/tensorflow/io
Licenses: ASL 2.0
Build system: r
Synopsis: Interface to 'TensorFlow IO'
Description:

Interface to TensorFlow IO', Datasets and filesystem extensions maintained by `TensorFlow SIG-IO` <https://github.com/tensorflow/community/blob/master/sigs/io/CHARTER.md>.

r-tidyquery 0.2.4
Propagated dependencies: r-stringr@1.6.0 r-rlang@1.1.6 r-queryparser@0.3.2 r-lubridate@1.9.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/ianmcook/tidyquery
Licenses: ASL 2.0
Build system: r
Synopsis: Query 'R' Data Frames with 'SQL'
Description:

Use SQL SELECT statements to query R data frames.

r-trade 0.8.3
Propagated dependencies: r-antitrust@0.99.30
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/luciu5/trade
Licenses: CC0
Build system: r
Synopsis: Tools for Trade Practitioners
Description:

This package provides a collection of tools for trade practitioners, including the ability to calibrate different consumer demand systems and simulate the effects of tariffs and quotas under different competitive regimes. These tools are derived from Anderson et al. (2001) <doi:10.1016/S0047-2727(00)00085-2> and Froeb et al. (2003) <doi:10.1016/S0304-4076(02)00166-5>.

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-threebrain 1.2.0
Propagated dependencies: r-xml2@1.5.0 r-stringr@1.6.0 r-shiny@1.11.1 r-servr@0.32 r-r6@2.6.1 r-png@0.1-8 r-oro-nifti@0.11.4 r-knitr@1.50 r-jsonlite@2.0.0 r-htmlwidgets@1.6.4 r-gifti@0.9.0 r-freesurferformats@1.0.0 r-dipsaus@0.3.3 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://dipterix.org/threeBrain/
Licenses: FSDG-compatible
Build system: r
Synopsis: Your Advanced 3D Brain Visualization
Description:

This package provides a fast, interactive cross-platform, and easy to share WebGL'-based 3D brain viewer that visualizes FreeSurfer and/or AFNI/SUMA surfaces. The viewer widget can be either standalone or embedded into R-shiny applications. The standalone version only require a web browser with WebGL2 support (for example, Chrome', Firefox', Safari'), and can be inserted into any websites. The R-shiny support allows the 3D viewer to be dynamically generated from reactive user inputs. Please check the publication by Wang, Magnotti, Zhang, and Beauchamp (2023, <doi:10.1523/ENEURO.0328-23.2023>) for electrode localization. This viewer has been fully adopted by RAVE <https://openwetware.org/wiki/RAVE>, an interactive toolbox to analyze iEEG data by Magnotti, Wang, and Beauchamp (2020, <doi:10.1016/j.neuroimage.2020.117341>). Please check citation("threeBrain") for details.

r-t2eq 1.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=T2EQ
Licenses: GPL 3
Build system: r
Synopsis: Functions for Applying the T^2-Test for Equivalence
Description:

This package contains functions for applying the T^2-test for equivalence. The T^2-test for equivalence is a multivariate two-sample equivalence test. Distance measure of the test is the Mahalanobis distance. For multivariate normally distributed data the T^2-test for equivalence is exact and UMPI. The function T2EQ() implements the T^2-test for equivalence according to Wellek (2010) <DOI:10.1201/ebk1439808184>. The function T2EQ.dissolution.profiles.hoffelder() implements a variant of the T^2-test for equivalence according to Hoffelder (2016) <http://www.ecv.de/suse_item.php?suseId=Z|pi|8430> for the equivalence comparison of highly variable dissolution profiles.

r-tbfmultinomial 0.1.3
Propagated dependencies: r-vgam@1.1-13 r-stringr@1.6.0 r-plotrix@3.8-13 r-nnet@7.3-20
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TBFmultinomial
Licenses: GPL 2+
Build system: r
Synopsis: TBF Methodology Extension for Multinomial Outcomes
Description:

Extends the test-based Bayes factor (TBF) methodology to multinomial regression models and discrete time-to-event models with competing risks. The TBF methodology has been well developed and implemented for the generalised linear model [Held et al. (2015) <doi:10.1214/14-STS510>] and for the Cox model [Held et al. (2016) <doi:10.1002/sim.7089>].

r-tinsel 0.0.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/nteetor/tinsel
Licenses: Expat
Build system: r
Synopsis: Transform Functions using Decorators
Description:

Instead of nesting function calls, annotate and transform functions using "#." comments.

r-tciu 1.2.8
Propagated dependencies: r-zoo@1.8-14 r-tidyr@1.3.1 r-spatstat-geom@3.6-1 r-spatstat-explore@3.6-0 r-scales@1.4.0 r-rrcov@1.7-7 r-reshape2@1.4.5 r-rcolorbrewer@1.1-3 r-pracma@2.4.6 r-plotly@4.11.0 r-multiwayregression@1.2 r-interp@1.1-6 r-icsnp@1.1-2 r-gridextra@2.3 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-geometry@0.5.2 r-forecast@8.24.0 r-foreach@1.5.2 r-fmri@1.9.12.1 r-fancycut@0.1.3 r-extradistr@1.10.0 r-dt@0.34.0 r-dplyr@1.1.4 r-doparallel@1.0.17 r-cubature@2.1.4-1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/SOCR/TCIU
Licenses: GPL 3
Build system: r
Synopsis: Spacekime Analytics, Time Complexity and Inferential Uncertainty
Description:

Provide the core functionality to transform longitudinal data to complex-time (kime) data using analytic and numerical techniques, visualize the original time-series and reconstructed kime-surfaces, perform model based (e.g., tensor-linear regression) and model-free classification and clustering methods in the book Dinov, ID and Velev, MV. (2021) "Data Science: Time Complexity, Inferential Uncertainty, and Spacekime Analytics", De Gruyter STEM Series, ISBN 978-3-11-069780-3. <https://www.degruyter.com/view/title/576646>. The package includes 18 core functions which can be separated into three groups. 1) draw longitudinal data, such as Functional magnetic resonance imaging(fMRI) time-series, and forecast or transform the time-series data. 2) simulate real-valued time-series data, e.g., fMRI time-courses, detect the activated areas, report the corresponding p-values, and visualize the p-values in the 3D brain space. 3) Laplace transform and kimesurface reconstructions of the fMRI data.

r-tlda 0.1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/lsoenning/tlda
Licenses: Expat
Build system: r
Synopsis: Tools for Language Data Analysis
Description:

Support functions and datasets to facilitate the analysis of linguistic data. The current focus is on the calculation of corpus-linguistic dispersion measures as described in Gries (2021) <doi:10.1007/978-3-030-46216-1_5> and Soenning (2025) <doi:10.3366/cor.2025.0326>. The most commonly used parts-based indices are implemented, including different formulas and modifications that are found in the literature, with the additional option to obtain frequency-adjusted scores. Dispersion scores can be computed based on individual count variables or a term-document matrix.

r-tidysummary 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-tidyplots@0.4.0 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-qqplotr@0.0.7 r-glue@1.8.0 r-fbasics@4041.97 r-dplyr@1.1.4 r-cli@3.6.5 r-car@3.1-3
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-twilio 0.1.0
Propagated dependencies: r-purrr@1.2.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: http://github.com/seankross/twilio
Licenses: Expat
Build system: r
Synopsis: An Interface to the Twilio API for R
Description:

The Twilio web service provides an API for computer programs to interact with telephony. The included functions wrap the SMS and MMS portions of Twilio's API, allowing users to send and receive text messages from R. See <https://www.twilio.com/docs/> for more information.

r-tsmsn 0.0.1
Propagated dependencies: r-sn@2.1.1 r-progress@1.2.3 r-numderiv@2016.8-1.1 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=TSMSN
Licenses: Expat
Build system: r
Synopsis: Truncated Scale Mixtures of Skew-Normal Distributions
Description:

Return the first four moments, estimation of parameters and sample of the TSMSN distributions (Skew Normal, Skew t, Skew Slash or Skew Contaminated Normal).

r-texttools 0.1.0
Propagated dependencies: r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=textTools
Licenses: GPL 2+
Build system: r
Synopsis: Functions for Text Cleansing and Text Analysis
Description:

This package provides a framework for text cleansing and analysis. Conveniently prepare and process large amounts of text for analysis. Includes various metrics for word counts/frequencies that scale efficiently. Quickly analyze large amounts of text data using a text.table (a data.table created with one word (or unit of text analysis) per row, similar to the tidytext format). Offers flexibility to efficiently work with text data stored in vectors as well as text data formatted as a text.table.

r-teal-widgets 0.6.0
Propagated dependencies: r-xml2@1.5.0 r-styler@1.11.0 r-shinywidgets@0.9.0 r-shinyjs@2.1.0 r-shiny@1.11.1 r-rvest@1.0.5 r-rtables@0.6.15 r-lifecycle@1.0.4 r-htmltools@0.5.8.1 r-gtsummary@2.5.0 r-gt@1.3.0 r-ggplot2@4.0.1 r-checkmate@2.3.3 r-bslib@0.9.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://insightsengineering.github.io/teal.widgets/
Licenses: ASL 2.0
Build system: r
Synopsis: 'shiny' Widgets for 'teal' Applications
Description:

Collection of shiny widgets to support teal applications. Enables the manipulation of application layout and plot or table settings.

r-talkr 0.1.3
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-stringr@1.6.0 r-knitr@1.50 r-ggthemes@5.1.0 r-ggplot2@4.0.1 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://cran.r-project.org/package=talkr
Licenses: FSDG-compatible
Build system: r
Synopsis: Plotting Conversation Data
Description:

Visualisation, analysis and quality control of conversational data. Rapid and visual insights into the nature, timing and quality of time-aligned annotations in conversational corpora. For more details, see Dingemanse et al., (2022) <doi:10.18653/v1/2022.acl-long.385>.

r-trendchange 1.2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=trendchange
Licenses: GPL 3
Build system: r
Synopsis: Innovative Trend Analysis and Time-Series Change Point Analysis
Description:

Innovative Trend Analysis is a graphical method to examine the trends in time series data. Sequential Mann-Kendall test uses the intersection of prograde and retrograde series to indicate the possible change point in time series data. Distribution free cumulative sum charts indicate location and significance of the change point in time series. Zekai, S. (2011). <doi:10.1061/(ASCE)HE.1943-5584.0000556>. Grayson, R. B. et al. (1996). Hydrological Recipes: Estimation Techniques in Australian Hydrology. Cooperative Research Centre for Catchment Hydrology, Australia, p. 125. Sneyers, S. (1990). On the statistical analysis of series of observations. Technical note no 5 143, WMO No 725 415. Secretariat of the World Meteorological Organization, Geneva, 192 pp.

r-tsintermittent 1.10
Propagated dependencies: r-mapa@2.0.7
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://kourentzes.com/forecasting/2014/06/23/intermittent-demand-forecasting-package-for-r/
Licenses: GPL 2+
Build system: r
Synopsis: Intermittent Time Series Forecasting
Description:

Time series methods for intermittent demand forecasting. Includes Croston's method and its variants (Moving Average, SBA), and the TSB method. Users can obtain optimal parameters on a variety of loss functions, or use fixed ones (Kourenztes (2014) <doi:10.1016/j.ijpe.2014.06.007>). Intermittent time series classification methods and iMAPA that uses multiple temporal aggregation levels are also provided (Petropoulos & Kourenztes (2015) <doi:10.1057/jors.2014.62>).

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