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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-treestats 1.70.8
Propagated dependencies: r-treebalance@1.2.0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-nloptr@2.2.1 r-ddd@5.2.4 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/thijsjanzen/treestats
Licenses: GPL 3
Build system: r
Synopsis: Phylogenetic Tree Statistics
Description:

Collection of phylogenetic tree statistics, collected throughout the literature. All functions have been written to maximize computation speed. The package includes umbrella functions to calculate all statistics, all balance associated statistics, or all branching time related statistics. Furthermore, the treestats package supports summary statistic calculations on Ltables, provides speed-improved coding of branching times, Ltable conversion and includes algorithms to create intermediately balanced trees. Full description can be found in Janzen (2024) <doi:10.1016/j.ympev.2024.108168>.

r-tidywikidatar 0.6.0
Propagated dependencies: r-wikidatar@2.3.3 r-vctrs@0.6.5 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rsqlite@2.4.4 r-rlang@1.1.6 r-purrr@1.2.0 r-progress@1.2.3 r-pool@1.0.4 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr2@1.2.1 r-glue@1.8.0 r-fs@1.6.6 r-dplyr@1.1.4 r-dbi@1.2.3 r-cli@3.6.5
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@1.1.0
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-tords 1.0.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TORDs
Licenses: GPL 2+
Build system: r
Synopsis: Third Order Rotatable Designs (TORDs)
Description:

Third order response surface designs (M. Hemavathi, Shashi Shekhar, Eldho Varghese, Seema Jaggi, Bikas Sinha & Nripes Kumar Mandal (2022) <DOI:10.1080/03610926.2021.1944213>."Theoretical developments in response surface designs: an informative review and further thoughts") are classified into two types viz., designs which are suitable for sequential experimentation and designs for non-sequential experimentation (M. Hemavathi, Eldho Varghese, Shashi Shekhar & Seema Jaggi (2022)<DOI:10.1080/02664763.2020.1864817>." Sequential asymmetric third order rotatable designs (SATORDs)"). The sequential experimentation approach involves conducting the trials step by step whereas, in the non-sequential experimentation approach, the entire runs are executed in one go.This package contains functions named STORDs() and NSTORDs() for generating sequential/non-sequential TORDs given in Das, M. N., and V. L. Narasimham (1962). <DOI:10.1214/aoms/1177704374>. "Construction of rotatable designs through balanced incomplete block designs" along with the randomized layout. It also contains another function named Pred3.var() for generating the variance of predicted response as well as the moment matrix based on a third order response surface model.

r-teal-reporter 0.6.0
Propagated dependencies: r-zip@2.3.3 r-yaml@2.3.10 r-teal-data@0.8.0 r-teal-code@0.7.1 r-sortable@0.6.0 r-shinywidgets@0.9.0 r-shinyjs@2.1.0 r-shinybusy@0.3.3 r-shiny@1.11.1 r-rtables-officer@0.1.2 r-rtables@0.6.15 r-rmarkdown@2.30 r-rlistings@0.2.13 r-rlang@1.1.6 r-r6@2.6.1 r-lifecycle@1.0.4 r-knitr@1.50 r-jsonlite@2.0.0 r-htmltools@0.5.8.1 r-gtsummary@2.5.0 r-flextable@0.9.10 r-commonmark@2.0.0 r-checkmate@2.3.3 r-bslib@0.9.0 r-bsicons@0.1.2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/insightsengineering/teal.reporter
Licenses: ASL 2.0
Build system: r
Synopsis: Reporting Tools for 'shiny' Modules
Description:

Prebuilt shiny modules containing tools for the generation of rmarkdown reports, supporting reproducible research and analysis.

r-tinysnapshot 0.2.0
Propagated dependencies: r-tinytest@1.4.1 r-magick@2.9.0 r-diffobj@0.3.6
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/vincentarelbundock/tinysnapshot
Licenses: GPL 3+
Build system: r
Synopsis: Snapshots for Unit Tests using the 'tinytest' Framework
Description:

Snapshots for unit tests using the tinytest framework for R. Includes expectations to test base R and ggplot2 plots as well as console output from print().

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

Density, distribution function, the quantile function, random generation function, and maximum likelihood estimation.

r-toposort 1.0.0
Propagated dependencies: r-vctrs@0.6.5 r-rlang@1.1.6 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/tzakharko/toposort
Licenses: Expat
Build system: r
Synopsis: Topological Sorting Algorithms
Description:

Flexible and ergonomic topological sorting implementation for R. Supports a variety of input data encoding (lists of edges or adjacency matrices, graphs edge direction), stable sort variants as well as cycle detection with detailed diagnosis.

r-tvmcomp 1.0.2
Propagated dependencies: r-rdpack@2.6.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tvmComp
Licenses: GPL 3
Build system: r
Synopsis: Discounting and Compounding Calculations for Various Scenarios
Description:

This package provides functions for compounding and discounting calculations included here serve as a complete reference for various scenarios of time value of money. Raymond M. Brooks (â Financial Management,â 2018, ISBN: 9780134730417). Sheridan Titman, Arthur J. Keown, John D. Martin (â Financial Management: Principles and Applications,â 2017, ISBN: 9780134417219). Jonathan Berk, Peter DeMarzo, David Stangeland, Andras Marosi (â Fundamentals of Corporate Finance,â 2019, ISBN: 9780134735313). S. A. Hummelbrunner, Kelly Halliday, Ali R. Hassanlou (â Contemporary Business Mathematics with Canadian Applications,â 2020, ISBN: 9780135285015).

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-transform 1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=Transform
Licenses: GPL 2+
Build system: r
Synopsis: Statistical Transformations
Description:

This package performs various statistical transformations; Box-Cox and Log (Box and Cox, 1964) <doi:10.1111/j.2517-6161.1964.tb00553.x>, Glog (Durbin et al., 2002) <doi:10.1093/bioinformatics/18.suppl_1.S105>, Neglog (Whittaker et al., 2005) <doi:10.1111/j.1467-9876.2005.00520.x>, Reciprocal (Tukey, 1957), Log Shift (Feng et al., 2016) <doi:10.1002/sta4.104>, Bickel-Docksum (Bickel and Doksum, 1981) <doi:10.1080/01621459.1981.10477649>, Yeo-Johnson (Yeo and Johnson, 2000) <doi:10.1093/biomet/87.4.954>, Square Root (Medina et al., 2019), Manly (Manly, 1976) <doi:10.2307/2988129>, Modulus (John and Draper, 1980) <doi:10.2307/2986305>, Dual (Yang, 2006) <doi:10.1016/j.econlet.2006.01.011>, Gpower (Kelmansky et al., 2013) <doi:10.1515/sagmb-2012-0030>. It also performs graphical approaches, assesses the success of the transformation via tests and plots.

r-timeperiodsr 0.7.3
Propagated dependencies: r-lubridate@1.9.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://selesnow.github.io/timeperiodsR/
Licenses: GPL 2
Build system: r
Synopsis: Simple Definition Of Time Intervals
Description:

Simple definition of time intervals for the current, previous, and next week, month, quarter and year.

r-trackdown 1.1.1
Propagated dependencies: r-rmarkdown@2.30 r-googledrive@2.1.2 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/claudiozandonella/trackdown/
Licenses: GPL 3
Build system: r
Synopsis: Collaborative Editing of Rmd (or Rnw) Documents in Google Drive
Description:

Collaborative writing and editing of R Markdown (or Sweave) documents. The local .Rmd (or .Rnw) is uploaded as a plain-text file to Google Drive. By taking advantage of the easily readable Markdown (or LaTeX) syntax and the well-known online interface offered by Google Docs, collaborators can easily contribute to the writing and editing process. After integrating all authorsâ contributions, the final document can be downloaded and rendered locally.

r-truncaipw 1.0.1
Propagated dependencies: r-survpen@2.0.2 r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://arxiv.org/pdf/2208.06836.pdf
Licenses: GPL 3
Build system: r
Synopsis: Doubly Robust Estimation under Covariate-Induced Dependent Left Truncation
Description:

Doubly robust estimation for the mean of an arbitrarily transformed survival time under covariate-induced dependent left truncation and noninformative right censoring. The functions truncAIPW(), truncAIPW_cen1(), and truncAIPW_cen2() compute the doubly robust estimators under the scenario without censoring and the two censoring scenarios, respectively. The package also contains three simulated data sets simu', simu_c1', and simu_c2', which are used to illustrate the usage of the functions in this package. Reference: Wang, Y., Ying, A., Xu, R. (2022) "Doubly robust estimation under covariate-induced dependent left truncation" <arXiv:2208.06836>.

r-text2sdgdata 0.1.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/psychobas/text2sdgData
Licenses: GPL 3+
Build system: r
Synopsis: Contains the Trained 'text2sdg' Ensemble Model Data
Description:

This is a companion package for the text2sdg package. It contains the trained ensemble models needed by the detect_sdg function from the text2sdg package. See Wulff, Meier and Mata (2023) <arXiv:2301.11353> and Meier, Wulff and Mata (2021) <arXiv:2110.05856> for reference.

r-topolow 2.0.1
Propagated dependencies: r-rlang@1.1.6 r-reshape2@1.4.5 r-lifecycle@1.0.4 r-lhs@1.2.0 r-ggplot2@4.0.1 r-future@1.68.0 r-filelock@1.0.3 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/omid-arhami/topolow
Licenses: Modified BSD
Build system: r
Synopsis: Force-Directed Euclidean Embedding of Dissimilarity Data
Description:

This package provides a robust implementation of Topolow algorithm. It embeds objects into a low-dimensional Euclidean space from a matrix of pairwise dissimilarities, even when the data do not satisfy metric or Euclidean axioms. The package is particularly well-suited for sparse, incomplete, and censored (thresholded) datasets such as antigenic relationships. The core is a physics-inspired, gradient-free optimization framework that models objects as particles in a physical system, where observed dissimilarities define spring rest lengths and unobserved pairs exert repulsive forces. The package also provides functions specific to antigenic mapping to transform cross-reactivity and binding affinity measurements into accurate spatial representations in a phenotype space. Key features include: * Robust Embedding from Sparse Data: Effectively creates complete and consistent maps (in optimal dimensions) even with high proportions of missing data (e.g., >95%). * Physics-Inspired Optimization: Models objects (e.g., antigens, landmarks) as particles connected by springs (for measured dissimilarities) and subject to repulsive forces (for missing dissimilarities), and simulates the physical system using laws of mechanics, reducing the need for complex gradient computations. * Automatic Dimensionality Detection: Employs a likelihood-based approach to determine the optimal number of dimensions for the embedding/map, avoiding distortions common in methods with fixed low dimensions. * Noise and Bias Reduction: Naturally mitigates experimental noise and bias through its network-based, error-dampening mechanism. * Antigenic Velocity Calculation (for antigenic data): Introduces and quantifies "antigenic velocity," a vector that describes the rate and direction of antigenic drift for each pathogen isolate. This can help identify cluster transitions and potential lineage replacements. * Broad Applicability: Analyzes data from various objects that their dissimilarity may be of interest, ranging from complex biological measurements such as continuous and relational phenotypes, antibody-antigen interactions, and protein folding to abstract concepts, such as customer perception of different brands. Methods are described in the context of bioinformatics applications in Arhami and Rohani (2025a) <doi:10.1093/bioinformatics/btaf372>, and mathematical proofs and Euclidean embedding details are in Arhami and Rohani (2025b) <doi:10.48550/arXiv.2508.01733>.

r-tres 1.1.5
Propagated dependencies: r-rtensor@1.4.9 r-pracma@2.4.6 r-mass@7.3-65 r-manifoldoptim@1.0.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/leozeng15/TRES
Licenses: GPL 3
Build system: r
Synopsis: Tensor Regression with Envelope Structure
Description:

This package provides three estimators for tensor response regression (TRR) and tensor predictor regression (TPR) models with tensor envelope structure. The three types of estimation approaches are generic and can be applied to any envelope estimation problems. The full Grassmannian (FG) optimization is often associated with likelihood-based estimation but requires heavy computation and good initialization; the one-directional optimization approaches (1D and ECD algorithms) are faster, stable and does not require carefully chosen initial values; the SIMPLS-type is motivated by the partial least squares regression and is computationally the least expensive. For details of TRR, see Li L, Zhang X (2017) <doi:10.1080/01621459.2016.1193022>. For details of TPR, see Zhang X, Li L (2017) <doi:10.1080/00401706.2016.1272495>. For details of 1D algorithm, see Cook RD, Zhang X (2016) <doi:10.1080/10618600.2015.1029577>. For details of ECD algorithm, see Cook RD, Zhang X (2018) <doi:10.5705/ss.202016.0037>. For more details of the package, see Zeng J, Wang W, Zhang X (2021) <doi:10.18637/jss.v099.i12>.

r-tvm 0.5.2
Propagated dependencies: r-scales@1.4.0 r-reshape2@1.4.5 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://bitbucket.org/juancentro/tvm
Licenses: Expat
Build system: r
Synopsis: Time Value of Money Functions
Description:

This package provides functions for managing cashflows and interest rate curves.

r-timetk 2.9.1
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-tsfeatures@1.1.1 r-timedate@4051.111 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-stringi@1.8.7 r-slider@0.3.3 r-rsample@1.3.1 r-rlang@1.1.6 r-recipes@1.3.1 r-readr@2.1.6 r-purrr@1.2.0 r-plotly@4.11.0 r-padr@0.6.3 r-lubridate@1.9.4 r-hms@1.1.4 r-ggplot2@4.0.1 r-generics@0.1.4 r-forecast@8.24.0 r-forcats@1.0.1 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/business-science/timetk
Licenses: GPL 3+
Build system: r
Synopsis: Tool Kit for Working with Time Series
Description:

Easy visualization, wrangling, and feature engineering of time series data for forecasting and machine learning prediction. Consolidates and extends time series functionality from packages including dplyr', stats', xts', forecast', slider', padr', recipes', and rsample'.

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-tdroc 2.0
Propagated dependencies: r-survival@3.8-3 r-rcpp@1.1.0 r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tdROC
Licenses: Expat
Build system: r
Synopsis: Nonparametric Estimation of Time-Dependent ROC, Brier Score, and Survival Difference from Right Censored Time-to-Event Data with or without Competing Risks
Description:

The tdROC package facilitates the estimation of time-dependent ROC (Receiver Operating Characteristic) curves and the Area Under the time-dependent ROC Curve (AUC) in the context of survival data, accommodating scenarios with right censored data and the option to account for competing risks. In addition to the ROC/AUC estimation, the package also estimates time-dependent Brier score and survival difference. Confidence intervals of various estimated quantities can be obtained from bootstrap. The package also offers plotting functions for visualizing time-dependent ROC curves.

r-treestructure 0.7.0
Propagated dependencies: r-rlang@1.1.6 r-rcpp@1.1.0 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://emvolz-phylodynamics.github.io/treestructure/
Licenses: GPL 2+
Build system: r
Synopsis: Detect Population Structure Within Phylogenetic Trees
Description:

Algorithms for detecting population structure from the history of coalescent events recorded in phylogenetic trees. This method classifies each tip and internal node of a tree into disjoint sets characterized by similar coalescent patterns.

r-telescope 0.2-1
Propagated dependencies: r-mvtnorm@1.3-3 r-mcmcpack@1.7-1 r-extradistr@1.10.0 r-dirichletreg@0.7-2 r-bayesm@3.1-7 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=telescope
Licenses: GPL 2
Build system: r
Synopsis: Bayesian Mixtures with an Unknown Number of Components
Description:

Fits Bayesian finite mixtures with an unknown number of components using the telescoping sampler and different component distributions. For more details see Frühwirth-Schnatter et al. (2021) <doi:10.1214/21-BA1294>.

r-tm-plugin-europresse 1.4.1
Propagated dependencies: r-xml@3.99-0.20 r-tm@0.7-16 r-nlp@0.3-2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/nalimilan/R.TeMiS
Licenses: GPL 2+
Build system: r
Synopsis: Import Articles from 'Europresse' Using the 'tm' Text Mining Framework
Description:

This package provides a tm Source to create corpora from articles exported from the Europresse content provider as HTML files. It is able to read both text content and meta-data information (including source, date, title, author and pages).

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Total results: 68655