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      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-text2emotion 0.1.0
Propagated dependencies: r-textclean@0.9.3 r-text2vec@0.6.4 r-stringr@1.6.0 r-ranger@0.17.0 r-matrix@1.7-4 r-magrittr@2.0.4 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=text2emotion
Licenses: GPL 2
Build system: r
Synopsis: Emotion Analysis and Emoji Mapping for Text
Description:

Allows users to analyze text and classify emotions such as happiness, sadness, anger, fear, and neutrality. It combines text preprocessing, TF-IDF (Term Frequency-Inverse Document Frequency) feature extraction, and Random Forest classification to predict emotions and map them to corresponding emojis for enhanced sentiment visualization.

r-tuneranger 0.8.1
Propagated dependencies: r-smoof@1.6.0.3 r-ranger@0.17.0 r-paramhelpers@1.14.2 r-mlrmbo@1.1.5.1 r-mlr@2.19.3 r-lhs@1.2.0 r-dicekriging@1.6.1 r-bbmisc@1.13
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tuneRanger
Licenses: GPL 3
Build system: r
Synopsis: Tune Random Forest of the 'ranger' Package
Description:

Tuning random forest with one line. The package is mainly based on the packages ranger and mlrMBO'.

r-tcv 0.1.0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-irlba@2.3.5.1 r-gfm@1.2.2 r-countsplit@4.0.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/Wangzhijingwzj/tcv
Licenses: GPL 3+
Build system: r
Synopsis: Determining the Number of Factors in Poisson Factor Models via Thinning Cross-Validation
Description:

This package implements methods for selecting the number of factors in Poisson factor models, with a primary focus on Thinning Cross-Validation (TCV). The TCV method is based on the data thinning technique, which probabilistically partitions each count observation into training and test sets while preserving the underlying factor structure. The Poisson factor model is then fit on the training set, and model selection is performed by comparing predictive performance on the test set. This toolkit is designed for researchers working with high-dimensional count data in fields such as genomics, text mining, and social sciences. The data thinning methodology is detailed in Dharamshi et al. (2025) <doi:10.1080/01621459.2024.2353948> and Wang et al. (2025) <doi:10.1080/01621459.2025.2546577>.

r-ttservice 0.5.3
Propagated dependencies: r-plotly@4.11.0 r-matrix@1.7-4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=ttservice
Licenses: GPL 3
Build system: r
Synopsis: Service for Tidy Transcriptomics Software Suite
Description:

It provides generic methods that are used by more than one package, avoiding conflicts. This package will be imported by tidySingleCellExperiment and tidyseurat'.

r-twotimescales 1.0.0
Propagated dependencies: r-viridis@0.6.5 r-ucminf@1.2.2 r-spam@2.11-1 r-reshape2@1.4.5 r-popepi@0.4.14 r-lmmsolver@1.0.12 r-jops@0.2.0 r-fields@17.1 r-epi@2.61 r-colorspace@2.1-2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/AngelaCar/TwoTimeScales
Licenses: GPL 3
Build system: r
Synopsis: Analysis of Event Data with Two Time Scales
Description:

Analyse time to event data with two time scales by estimating a smooth hazard that varies over two time scales and also, if covariates are available, to estimate a proportional hazards model with such a two-dimensional baseline hazard. Functions are provided to prepare the raw data for estimation, to estimate and to plot the two-dimensional smooth hazard. Extension to a competing risks model are implemented. For details about the method please refer to Carollo et al. (2024) <doi:10.1002/sim.10297>.

r-tidynorm 0.4.0
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-stringr@1.6.0 r-rlang@1.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-purrr@1.2.0 r-options@0.3.1 r-glue@1.8.0 r-dplyr@1.1.4 r-cli@3.6.5 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://jofrhwld.github.io/tidynorm/
Licenses: GPL 3+
Build system: r
Synopsis: Tools for Tidy Vowel Normalization
Description:

An implementation of tidy speaker vowel normalization. This includes generic functions for defining new normalization methods for points, formant tracks, and Discrete Cosine Transform coefficients, as well as convenience functions implementing established normalization methods. References for the implemented methods are: Johnson, Keith (2020) <doi:10.5334/labphon.196> Lobanov, Boris (1971) <doi:10.1121/1.1912396> Nearey, Terrance M. (1978) <https://sites.ualberta.ca/~tnearey/Nearey1978_compressed.pdf> Syrdal, Ann K., and Gopal, H. S. (1986) <doi:10.1121/1.393381> Watt, Dominic, and Fabricius, Anne (2002) <https://www.latl.leeds.ac.uk/article/evaluation-of-a-technique-for-improving-the-mapping-of-multiple-speakers-vowel-spaces-in-the-f1-f2-plane/>.

r-toordinal 1.4-0.0
Propagated dependencies: r-pkgsearch@3.1.5 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://centerforassessment.github.io/toOrdinal/
Licenses: GPL 3
Build system: r
Synopsis: Cardinal to Ordinal Number & Date Conversion
Description:

Language specific cardinal to ordinal number conversion.

r-tdr 0.14
Propagated dependencies: r-rcolorbrewer@1.1-3 r-lattice@0.22-7 r-ggplot2@4.0.1
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-tsetools 1.0.0
Propagated dependencies: r-xts@0.14.1 r-rjson@0.2.23 r-quantmod@0.4.28 r-quadprog@1.5-8 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TSEtools
Licenses: FreeBSD
Build system: r
Synopsis: Manage Data from the Finance Markets
Description:

This package provides a set of tools designed to perform descriptive data analysis on assets, manage asset portfolios and capital allocation, and download, organize, and maintain data from the "Tehran Stock Exchange" and "NOBITEX" platforms.

r-tsdfgs 2.0
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-lifecycle@1.0.4 r-latex2exp@0.9.6 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/oumarkme/TSDFGS
Licenses: GPL 3+
Build system: r
Synopsis: Training Set Determination for Genomic Selection
Description:

We propose an optimality criterion to determine the required training set, r-score, which is derived directly from Pearson's correlation between the genomic estimated breeding values and phenotypic values of the test set <doi:10.1007/s00122-019-03387-0>. This package provides two main functions to determine a good training set and its size.

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-tryr 0.1.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/analythium/tryr
Licenses: Expat
Build system: r
Synopsis: Client/Server Error Handling for HTTP API Frameworks
Description:

Differentiate client errors (4xx) from server errors (5xx) for the plumber and RestRserve HTTP API frameworks. The package also includes a built-in logging mechanism to standard output (STDOUT) or standard error (STDERR) depending on the log level.

r-tablecontainer 1.0.0
Propagated dependencies: r-glue@1.8.0 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=TableContainer
Licenses: Expat
Build system: r
Synopsis: Create a Table with Row, Column, and Table Annotations
Description:

Offers a TableContainer() function to create tables enriched with row, column, and table annotations. This package is similar to SummarizedExperiment in Bioconductor <doi:10.18129/B9.bioc.SummarizedExperiment>, but designed to work independently of Bioconductor, it ensures annotations are automatically updated when the table is subset. Additionally, it includes format_tbl() methods for enhanced table formatting and display.

r-thurstonianirt 0.12.5
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stanheaders@2.32.10 r-rstantools@2.5.0 r-rstan@2.32.7 r-rlang@1.1.6 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-magrittr@2.0.4 r-lavaan@0.6-20 r-dplyr@1.1.4 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/paul-buerkner/thurstonianIRT
Licenses: GPL 3+
Build system: r
Synopsis: Thurstonian IRT Models
Description:

Fit Thurstonian Item Response Theory (IRT) models in R. This package supports fitting Thurstonian IRT models and its extensions using Stan', lavaan', or Mplus for the model estimation. Functionality for extracting results, making predictions, and simulating data is provided as well. References: Brown & Maydeu-Olivares (2011) <doi:10.1177/0013164410375112>; Bürkner et al. (2019) <doi:10.1177/0013164419832063>.

r-trtf 0.4-3
Propagated dependencies: r-variables@1.1-2 r-tram@1.4-0 r-sandwich@3.1-1 r-partykit@1.2-24 r-mlt@1.7-4 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>).

r-tidyxl 1.0.10
Propagated dependencies: r-rcpp@1.1.0 r-piton@1.0.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/nacnudus/tidyxl
Licenses: Expat
Build system: r
Synopsis: Read Untidy Excel Files
Description:

Imports non-tabular from Excel files into R. Exposes cell content, position and formatting in a tidy structure for further manipulation. Tokenizes Excel formulas. Supports .xlsx and .xlsm via the embedded RapidXML C++ library <https://rapidxml.sourceforge.net>. Does not support .xlsb or .xls'.

r-tvmvp 1.0.5
Propagated dependencies: r-tidyr@1.3.1 r-r6@2.6.1 r-prettyunits@1.2.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/erilill/TV-MVP
Licenses: Expat
Build system: r
Synopsis: Time-Varying Minimum Variance Portfolio
Description:

This package provides the estimation of a time-dependent covariance matrix of returns with the intended use for portfolio optimization. The package offers methods for determining the optimal number of factors to be used in the covariance estimation, a hypothesis test of time-varying covariance, and user-friendly functions for portfolio optimization and rolling window evaluation. The local PCA method, method for determining the number of factors, and associated hypothesis test are based on Su and Wang (2017) <doi:10.1016/j.jeconom.2016.12.004>. The approach to time-varying portfolio optimization follows Fan et al. (2024) <doi:10.1016/j.jeconom.2022.08.007>. The regularisation applied to the residual covariance matrix adopts the technique introduced by Chen et al. (2019) <doi:10.1016/j.jeconom.2019.04.025>.

r-tada 2024.1.0
Propagated dependencies: r-purrr@1.2.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/tadascience/tada
Licenses: Expat
Build system: r
Synopsis: Supporting Tools for Tada Science
Description:

Suite of tools to support the practice of tada science. It includes an engaging package roulette that is designed to facilitate learning about new packages.

r-tdavec 0.1.41
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/uislambekov/TDAvec
Licenses: GPL 2+
Build system: r
Synopsis: Vector Summaries of Persistence Diagrams
Description:

This package provides tools for computing various vector summaries of persistence diagrams studied in Topological Data Analysis. For improved computational efficiency, all code for the vector summaries is written in C++ using the Rcpp and RcppArmadillo packages.

r-testdataimputation 2.3
Propagated dependencies: r-mice@3.18.0 r-amelia@1.8.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TestDataImputation
Licenses: GPL 2+
Build system: r
Synopsis: Missing Item Responses Imputation for Test and Assessment Data
Description:

This package provides functions for imputing missing item responses for dichotomous and polytomous test and assessment data. This package enables missing imputation methods that are suitable for test and assessment data, including: listwise (LW) deletion (see De Ayala et al. 2001 <doi:10.1111/j.1745-3984.2001.tb01124.x>), treating as incorrect (IN, see Lord, 1974 <doi: 10.1111/j.1745-3984.1974.tb00996.x>; Mislevy & Wu, 1996 <doi: 10.1002/j.2333-8504.1996.tb01708.x>; Pohl et al., 2014 <doi: 10.1177/0013164413504926>), person mean imputation (PM), item mean imputation (IM), two-way (TW) and response function (RF) imputation, (see Sijtsma & van der Ark, 2003 <doi: 10.1207/s15327906mbr3804_4>), logistic regression (LR) imputation, predictive mean matching (PMM), and expectationâ maximization (EM) imputation (see Finch, 2008 <doi: 10.1111/j.1745-3984.2008.00062.x>).

r-tinflex 2.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=Tinflex
Licenses: GPL 2+
Build system: r
Synopsis: Universal Non-Uniform Random Number Generator
Description:

This package provides a universal non-uniform random number generator for quite arbitrary distributions with piecewise twice differentiable densities.

r-tidyrss 2.0.7
Propagated dependencies: r-xml2@1.5.0 r-vctrs@0.6.5 r-tidyselect@1.2.1 r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-glue@1.8.0 r-dplyr@1.1.4 r-anytime@0.3.12
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/RobertMyles/tidyrss
Licenses: Expat
Build system: r
Synopsis: Tidy RSS for R
Description:

With the objective of including data from RSS feeds into your analysis, tidyRSS parses RSS, Atom and JSON feeds and returns a tidy data frame.

r-tsaux 1.0.0
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-tsoutliers@0.6-10 r-tsmethods@1.0.3 r-stlplus@0.5.1 r-scoringrules@1.1.3 r-rdpack@2.6.4 r-lubridate@1.9.4 r-forecast@8.24.0 r-data-table@1.17.8 r-car@3.1-3
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-tss-restrend 0.3.1
Propagated dependencies: r-strucchange@1.5-4 r-rcpproll@0.3.1 r-mblm@0.12.1 r-ggplot2@4.0.1 r-broom@1.0.10 r-bfast@1.7.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TSS.RESTREND
Licenses: GPL 3
Build system: r
Synopsis: Time Series Segmentation of Residual Trends
Description:

Time Series Segmented Residual Trends is a method for the automated detection of land degradation from remotely sensed vegetation and climate datasets. TSS-RESTREND incorporates aspects of two existing degradation detection methods: RESTREND which is used to control for climate variability, and BFAST which is used to look for structural changes in the ecosystem. The full details of the testing and justification of the TSS-RESTREND method (version 0.1.02) are published in Burrell et al., (2017). <doi:10.1016/j.rse.2017.05.018>. The changes to the method introduced in version 0.2.03 focus on the inclusion of temperature as an additional climate variable. This allows for land degradation assessment in temperature limited drylands. A paper that details this work is currently under review. There are also a number of bug fixes and speed improvements. Version 0.3.0 introduces additional attribution for eCO2, climate change and climate variability the details of which are in press in Burrell et al., (2020). The version under active development and additional example scripts showing how the package can be applied can be found at <https://github.com/ArdenB/TSSRESTREND>.

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