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

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-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-trafficbde 0.1.2
Propagated dependencies: r-zoo@1.8-14 r-rcurl@1.98-1.17 r-lubridate@1.9.4 r-dplyr@1.1.4 r-descriptivestats-obeu@1.3.2 r-data-table@1.17.8 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-triplediff 0.2.0
Propagated dependencies: r-rcpp@1.1.0 r-matrix@1.7-4 r-fastglm@0.0.3 r-data-table@1.17.8 r-bmisc@1.4.8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: http://marcelortiz.com/triplediff/
Licenses: Expat
Build system: r
Synopsis: Triple-Difference Estimators
Description:

This package implements triple-difference (DDD) estimators for both average treatment effects and event-study parameters. Methods include regression adjustment, inverse-probability weighting, and doubly-robust estimators, all of which rely on a conditional DDD parallel-trends assumption and allow covariate adjustment across multiple pre- and post-treatment periods. The methodology is detailed in Ortiz-Villavicencio and Sant'Anna (2025) <doi:10.48550/arXiv.2505.09942>.

r-tidyvpc 1.5.2
Propagated dependencies: r-rlang@1.1.6 r-quantreg@6.1 r-mgcv@1.9-4 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-fastdummies@1.7.5 r-egg@0.4.5 r-data-table@1.17.8 r-cluster@2.1.8.1 r-classint@0.4-11
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/certara/tidyvpc
Licenses: Expat
Build system: r
Synopsis: VPC Percentiles and Prediction Intervals
Description:

Perform a Visual Predictive Check (VPC), while accounting for stratification, censoring, and prediction correction. Using piping from magrittr', the intuitive syntax gives users a flexible and powerful method to generate VPCs using both traditional binning and a new binless approach Jamsen et al. (2018) <doi:10.1002/psp4.12319> with Additive Quantile Regression (AQR) and Locally Estimated Scatterplot Smoothing (LOESS) prediction correction.

r-tidync 0.4.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rnetcdf@2.11-1 r-rlang@1.1.6 r-purrr@1.2.0 r-ncmeta@0.4.0 r-ncdf4@1.24 r-magrittr@2.0.4 r-forcats@1.0.1 r-dplyr@1.1.4 r-cftime@1.7.2
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().

r-tspred 5.1.1
Propagated dependencies: r-wavelets@0.3-0.2 r-tfdatasets@2.18.0 r-rsnns@0.4-18 r-rlibeemd@1.4.4 r-randomforest@4.7-1.2 r-plyr@1.8.9 r-nnet@7.3-20 r-mumin@1.48.11 r-modelmetrics@1.2.2.2 r-magrittr@2.0.4 r-kfas@1.6.0 r-keras@2.16.0 r-forecast@8.24.0 r-elmnnrcpp@1.0.5 r-e1071@1.7-16 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/RebeccaSalles/TSPred/wiki
Licenses: GPL 2+
Build system: r
Synopsis: Functions for Benchmarking Time Series Prediction
Description:

This package provides functions for defining and conducting a time series prediction process including pre(post)processing, decomposition, modelling, prediction and accuracy assessment. The generated models and its yielded prediction errors can be used for benchmarking other time series prediction methods and for creating a demand for the refinement of such methods. For this purpose, benchmark data from prediction competitions may be used.

r-thetasvm 0.1.0
Propagated dependencies: r-tssvm@0.1.0 r-tseries@0.10-58 r-forecast@8.24.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=THETASVM
Licenses: GPL 3
Build system: r
Synopsis: Time Series Forecasting using THETA-SVM Hybrid Model
Description:

Testing, Implementation, and Forecasting of the THETA-SVM hybrid model. The THETA-SVM hybrid model combines the distinct strengths of the THETA model and the Support Vector Machine (SVM) model for time series forecasting.For method details see Bhattacharyya et al. (2022) <doi:10.1007/s11071-021-07099-3>.

r-tsxtreme 0.3.4
Propagated dependencies: r-tictoc@1.2.1 r-mvtnorm@1.3-3 r-mass@7.3-65 r-evd@2.3-7.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tsxtreme
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Modelling of Extremal Dependence in Time Series
Description:

Characterisation of the extremal dependence structure of time series, avoiding pre-processing and filtering as done typically with peaks-over-threshold methods. It uses the conditional approach of Heffernan and Tawn (2004) <DOI:10.1111/j.1467-9868.2004.02050.x> which is very flexible in terms of extremal and asymptotic dependence structures, and Bayesian methods improve efficiency and allow for deriving measures of uncertainty. For example, the extremal index, related to the size of clusters in time, can be estimated and samples from its posterior distribution obtained.

r-tstutorial 1.2.7
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=TSTutorial
Licenses: GPL 2+
Build system: r
Synopsis: Fitting and Predict Time Series Interactive Laboratory
Description:

Interactive laboratory of Time Series based in Box-Jenkins methodology.

r-telp 1.0.3
Propagated dependencies: r-wordcloud@2.6 r-tm@0.7-16 r-tcltk2@1.6.1 r-rcolorbrewer@1.1-3 r-gridextra@2.3 r-ggplot2@4.0.1 r-arulesviz@1.5.4 r-arules@1.7-11
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TELP
Licenses: GPL 3+
Build system: r
Synopsis: Social Representation Theory Application: The Free Evocation of Words Technique
Description:

Using The Free Evocation of Words Technique method with some functions, this package will make a social representation and other analysis. The Free Evocation of Words Technique consists of collecting a number of words evoked by a subject facing exposure to an inducer term. The purpose of this technique is to understand the relationships created between words evoked by the individual and the inducer term. This technique is included in the theory of social representations, therefore, on the information transmitted by an individual, seeks to create a profile that define a social group.

r-tdapplied 3.0.4
Propagated dependencies: r-rdist@0.0.5 r-rcpp@1.1.0 r-parallelly@1.45.1 r-kernlab@0.9-33 r-iterators@1.0.14 r-foreach@1.5.2 r-doparallel@1.0.17 r-clue@0.3-66
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/shaelebrown/TDApplied
Licenses: GPL 3+
Build system: r
Synopsis: Machine Learning and Inference for Topological Data Analysis
Description:

Topological data analysis is a powerful tool for finding non-linear global structure in whole datasets. The main tool of topological data analysis is persistent homology, which computes a topological shape descriptor of a dataset called a persistence diagram. TDApplied provides useful and efficient methods for analyzing groups of persistence diagrams with machine learning and statistical inference, and these functions can also interface with other data science packages to form flexible and integrated topological data analysis pipelines.

r-timer 1.2.0
Propagated dependencies: r-r6@2.6.1 r-lubridate@1.9.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/yusuzech/timeR
Licenses: ASL 2.0 FSDG-compatible
Build system: r
Synopsis: Time Your Codes
Description:

This package provides a timeR class that makes timing codes easier. One can create timeR objects and use them to record all timings, and extract recordings as data frame for later use.

r-tidycat 0.1.2
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-magrittr@2.0.4 r-forcats@1.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://guyabel.github.io/tidycat/
Licenses: GPL 3
Build system: r
Synopsis: Expand Tidy Output for Categorical Parameter Estimates
Description:

Create additional rows and columns on broom::tidy() output to allow for easier control on categorical parameter estimates.

r-tipa 1.0.8
Propagated dependencies: r-optimx@2025-4.9
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://tipa.hugheylab.org
Licenses: GPL 2
Build system: r
Synopsis: Tau-Independent Phase Analysis for Circadian Time-Course Data
Description:

Accurately estimates phase shifts by accounting for period changes and for the point in the circadian cycle at which the stimulus occurs. See Tackenberg et al. (2018) <doi:10.1177/0748730418768116>.

r-tvgarchkf 0.0.1
Propagated dependencies: r-rcpp@1.1.0 r-fgarch@4052.93
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tvGarchKF
Licenses: GPL 3+
Build system: r
Synopsis: Time-Varying Garch Models Through a State-Space Representation
Description:

Estimates the time-varying (tv) parameters of the GARCH(1,1) model, enabling the modeling of non-stationary volatilities by allowing the model parameters to change gradually over time. The estimation and prediction processes are facilitated through the application of the Kalman filter and state-space equations. This package supports the estimation of tv parameters for various deterministic functions, which can be identified through exploratory analysis of different time periods or segments of return data. The methodology is grounded in the framework presented by Ferreira et al. (2017) <doi:10.1080/00949655.2017.1334778>.

r-tsbox 0.4.2
Propagated dependencies: r-data-table@1.17.8 r-anytime@0.3.12
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://docs.ropensci.org/tsbox/
Licenses: GPL 3
Build system: r
Synopsis: Class-Agnostic Time Series
Description:

Time series toolkit with identical behavior for all time series classes: ts','xts', data.frame', data.table', tibble', zoo', timeSeries', tsibble', tis or irts'. Also converts reliably between these classes.

r-tacmagic 0.3.1
Propagated dependencies: r-r-matlab@3.7.0 r-pracma@2.4.6
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/ropensci/tacmagic
Licenses: GPL 3
Build system: r
Synopsis: Positron Emission Tomography Time-Activity Curve Analysis
Description:

To facilitate the analysis of positron emission tomography (PET) time activity curve (TAC) data, and to encourage open science and replicability, this package supports data loading and analysis of multiple TAC file formats. Functions are available to analyze loaded TAC data for individual participants or in batches. Major functionality includes weighted TAC merging by region of interest (ROI), calculating models including standardized uptake value ratio (SUVR) and distribution volume ratio (DVR, Logan et al. 1996 <doi:10.1097/00004647-199609000-00008>), basic plotting functions and calculation of cut-off values (Aizenstein et al. 2008 <doi:10.1001/archneur.65.11.1509>). Please see the walkthrough vignette for a detailed overview of tacmagic functions.

r-triplesmatch 1.1.0
Propagated dependencies: r-rlemon@0.2.1 r-rlang@1.1.6 r-rcbalance@1.8.8 r-optmatch@0.10.8 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=triplesmatch
Licenses: GPL 3
Build system: r
Synopsis: Match Triples Consisting of Two Controls and a Treated Unit or Vice Versa
Description:

Attain excellent covariate balance by matching two treated units and one control unit or vice versa within strata. Using such triples, as opposed to also allowing pairs of treated and control units, allows easier interpretation of the two possible weights of observations and better insensitivity to unmeasured bias in the test statistic. Using triples instead of matching in a fixed 1:2 or 2:1 ratio allows for the match to be feasible in more situations. The rrelaxiv package, which provides an alternative solver for the underlying network flow problems, carries an academic license and is not available on CRAN, but may be downloaded from GitHub at <https://github.com/josherrickson/rrelaxiv/>. The Gurobi commercial optimization software is required to use the two functions [infsentrip()] and [triplesIP()]. These functions are not essential to the main purpose of this package. A free academic license can be obtained at <https://www.gurobi.com/features/academic-named-user-license/>. The gurobi R package can then be installed following the instructions at <https://www.gurobi.com/documentation/9.1/refman/ins_the_r_package.html>.

r-teal-logger 0.4.1
Propagated dependencies: r-withr@3.0.2 r-shiny@1.11.1 r-logger@0.4.1 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://insightsengineering.github.io/teal.logger/
Licenses: ASL 2.0
Build system: r
Synopsis: Logging Setup for the 'teal' Family of Packages
Description:

Utilizing the logger framework to record events within a package, specific to teal family of packages. Supports logging namespaces, hierarchical logging, various log destinations, vectorization, and more.

r-timsac 1.3.8-4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=timsac
Licenses: GPL 2+
Build system: r
Synopsis: Time Series Analysis and Control Package
Description:

This package provides functions for statistical analysis, prediction and control of time series based mainly on Akaike and Nakagawa (1988) <ISBN 978-90-277-2786-2>.

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-trainr 0.0.1
Propagated dependencies: r-xml2@1.5.0 r-usethis@3.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rcurl@1.98-1.17 r-purrr@1.2.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-glue@1.8.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/villegar/trainR/
Licenses: Expat
Build system: r
Synopsis: An Interface to the National Rail Enquiries Systems
Description:

The goal of trainR is to provide a simple interface to the National Rail Enquiries (NRE) systems. There are few data feeds available, the simplest of them is Darwin, which provides real-time arrival and departure predictions, platform numbers, delay estimates, schedule changes and cancellations. Other data feeds provide historical data, Historic Service Performance (HSP), and much more. trainR simplifies the data retrieval, so that the users can focus on their analyses. For more details visit <https://www.nationalrail.co.uk/46391.aspx>.

r-tcxr 0.1.0
Propagated dependencies: r-xml@3.99-0.20
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tcxr
Licenses: Expat
Build system: r
Synopsis: Parse and Analyze TCX Files
Description:

Framework provides functions to parse Training Center XML (TCX) files and extract key activity metrics such as total distance, total time, calories burned, maximum altitude, and power values (watts). This package is useful for analyzing workout and training data from devices that export TCX format.

r-tidycmprsk 1.1.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-survival@3.8-3 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-hardhat@1.4.2 r-gtsummary@2.5.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cmprsk@2.2-12 r-cli@3.6.5 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://mskcc-epi-bio.github.io/tidycmprsk/
Licenses: AGPL 3+
Build system: r
Synopsis: Competing Risks Estimation
Description:

This package provides an intuitive interface for working with the competing risk endpoints. The package wraps the cmprsk package, and exports functions for univariate cumulative incidence estimates and competing risk regression. Methods follow those introduced in Fine and Gray (1999) <doi:10.1002/sim.7501>.

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