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

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-tongfen 0.3.6
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-sf@1.0-23 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-lifecycle@1.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/mountainMath/tongfen
Licenses: Expat
Build system: r
Synopsis: Make Data Based on Different Geographies Comparable
Description:

Several functions to allow comparisons of data across different geographies, in particular for Canadian census data from different censuses.

r-tracerer 2.2.4
Propagated dependencies: r-rcpp@1.1.0 r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://docs.ropensci.org/tracerer/https://github.com/ropensci/tracerer/
Licenses: GPL 3
Build system: r
Synopsis: Tracer from R
Description:

BEAST2 (<https://www.beast2.org>) is a widely used Bayesian phylogenetic tool, that uses DNA/RNA/protein data and many model priors to create a posterior of jointly estimated phylogenies and parameters. Tracer (<https://github.com/beast-dev/tracer/>) is a GUI tool to parse and analyze the files generated by BEAST2'. This package provides a way to parse and analyze BEAST2 input files without active user input, but using R function calls instead.

r-thestats 0.1.0
Propagated dependencies: r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/analyticsresearchlab/thestats
Licenses: GPL 3
Build system: r
Synopsis: R Package for Exploring Turkish Higher Education Statistics
Description:

This package provides a user-friendly R data package that is intended to make Turkish higher education statistics more accessible.

r-tbrdist 1.0.3
Propagated dependencies: r-treetools@2.1.0 r-treedist@2.12.0 r-rdpack@2.6.4 r-rcpp@1.1.0 r-bh@1.87.0-1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://ms609.github.io/TBRDist/
Licenses: GPL 3+
Build system: r
Synopsis: Rearrangement Distances Between Unrooted Phylogenetic Trees
Description:

Fast calculation of the Subtree Prune and Regraft (SPR), Tree Bisection and Reconnection (TBR) and Replug distances between unrooted trees, using the algorithms of Whidden and Matsen (2017) <doi:10.48550/arXiv.1511.07529>.

r-tidycountries 0.1.0
Propagated dependencies: r-stringr@1.6.0 r-sf@1.0-23 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/denironyx/tidycountries
Licenses: Expat
Build system: r
Synopsis: Access and Manipulate Comprehensive Country Level Data in Tidy Format
Description:

This package provides a comprehensive and user-friendly interface for accessing, manipulating, and analyzing country-level data from around the world. It allows users to retrieve detailed information on countries, including names, regions, continents, populations, currencies, calling codes, and more, all in a tidy data format. The package is designed to work seamlessly within the tidyverse ecosystem, making it easy to filter, arrange, and visualize country-level data in R.

r-tidyterra 1.0.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-terra@1.8-86 r-sf@1.0-23 r-scales@1.4.0 r-rlang@1.1.6 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-generics@0.1.4 r-dplyr@1.1.4 r-data-table@1.17.8 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://dieghernan.github.io/tidyterra/
Licenses: Expat
Build system: r
Synopsis: 'tidyverse' Methods and 'ggplot2' Helpers for 'terra' Objects
Description:

Extension of the tidyverse for SpatRaster and SpatVector objects of the terra package. It includes also new geom_ functions that provide a convenient way of visualizing terra objects with ggplot2'.

r-topdowntimeratio 0.1.0
Propagated dependencies: r-magrittr@2.0.4 r-lubridate@1.9.4 r-geodist@0.1.1 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=topdowntimeratio
Licenses: GPL 3+
Build system: r
Synopsis: Top-Down Time Ratio Segmentation for Coordinate Trajectories
Description:

Data collected on movement behavior is often in the form of time- stamped latitude/longitude coordinates sampled from the underlying movement behavior. These data can be compressed into a set of segments via the Top- Down Time Ratio Segmentation method described in Meratnia and de By (2004) <doi:10.1007/978-3-540-24741-8_44> which, with some loss of information, can both reduce the size of the data as well as provide corrective smoothing mechanisms to help reduce the impact of measurement error. This is an improvement on the well-known Douglas-Peucker algorithm for segmentation that operates not on the basis of perpendicular distances. Top-Down Time Ratio segmentation allows for disparate sampling time intervals by calculating the distance between locations and segments with respect to time. Provided a trajectory with timestamps, tdtr() returns a set of straight- line segments that can represent the full trajectory. McCool, Lugtig, and Schouten (2022) <doi:10.1007/s11116-022-10328-2> describe this method as implemented here in more detail.

r-twfy 0.1.0
Propagated dependencies: 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: https://conjugateprior.github.io/twfy
Licenses: GPL 3
Build system: r
Synopsis: Drive the API for TheyWorkForYou
Description:

An R wrapper around the API of TheyWorkForYou, a parliamentary monitoring site that scrapes and repackages Hansard (the UK's parliamentary record) and augments it with information from the Register of Members Interests, election results, and voting records to provide a unified source of information about UK legislators and their activities. See <http://www.theyworkforyou.com> for details.

r-ttcg 1.0.1
Propagated dependencies: r-numderiv@2016.8-1.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://git.sr.ht/~hckiang/ttcg
Licenses: GPL 3
Build system: r
Synopsis: Three-Term Conjugate Gradient for Unconstrained Optimization
Description:

Some accelerated three-term conjugate gradient algorithms implemented purely in R with the same user interface as optim(). The search directions and acceleration scheme are described in Andrei, N. (2013) <doi:10.1016/j.amc.2012.11.097>, Andrei, N. (2013) <doi:10.1016/j.cam.2012.10.002>, and Andrei, N (2015) <doi:10.1007/s11075-014-9845-9>. Line search is done by a hybrid algorithm incorporating the ideas in Oliveia and Takahashi (2020) <doi:10.1145/3423597> and More and Thuente (1994) <doi:10.1145/192115.192132>.

r-torchopt 0.1.4
Propagated dependencies: r-torch@0.16.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/e-sensing/torchopt/
Licenses: FSDG-compatible
Build system: r
Synopsis: Advanced Optimizers for Torch
Description:

Optimizers for torch deep learning library. These functions include recent results published in the literature and are not part of the optimizers offered in torch'. Prospective users should test these optimizers with their data, since performance depends on the specific problem being solved. The packages includes the following optimizers: (a) adabelief by Zhuang et al (2020), <arXiv:2010.07468>; (b) adabound by Luo et al.(2019), <arXiv:1902.09843>; (c) adahessian by Yao et al.(2021) <arXiv:2006.00719>; (d) adamw by Loshchilov & Hutter (2019), <arXiv:1711.05101>; (e) madgrad by Defazio and Jelassi (2021), <arXiv:2101.11075>; (f) nadam by Dozat (2019), <https://openreview.net/pdf/OM0jvwB8jIp57ZJjtNEZ.pdf>; (g) qhadam by Ma and Yarats(2019), <arXiv:1810.06801>; (h) radam by Liu et al. (2019), <arXiv:1908.03265>; (i) swats by Shekar and Sochee (2018), <arXiv:1712.07628>; (j) yogi by Zaheer et al.(2019), <https://papers.nips.cc/paper/8186-adaptive-methods-for-nonconvex-optimization>.

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-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-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-taxnames 0.1.0
Propagated dependencies: r-taxlist@0.3.5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/kamapu/taxnames
Licenses: GPL 3
Build system: r
Synopsis: Formatting Taxonomic Names in Markdown
Description:

This package provides a collection of functions used to format taxonomic names in Markdown documents. Those functions work with data structured according to Alvarez and Luebert (2018) <doi:10.3897/bdj.6.e23635>.

r-tilegramsr 0.2.0
Propagated dependencies: r-sp@2.2-0 r-sf@1.0-23
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/bhaskarvk/tilegramsR
Licenses: Expat
Build system: r
Synopsis: R Spatial Data for Tilegrams
Description:

R spatial objects for Tilegrams. Tilegrams are tiled maps where the region size is proportional to the certain characteristics of the dataset.

r-theseusplot 0.1.1
Propagated dependencies: r-waterfalls@1.0.0 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-r6@2.6.1 r-memoise@2.0.1 r-ggplot2@4.0.1 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://github.com/hoxo-m/TheseusPlot
Licenses: Expat
Build system: r
Synopsis: Visualizing Decomposition of Differences in Rate Metrics
Description:

This package provides tools for decomposing differences in rate metrics between two groups into contributions from individual subgroups and visualizing them as a "Theseus Plot". Inspired by the story of the Ship of Theseus, the method replaces subgroup data from one group with that of another step by step, recalculating the overall metric at each stage to quantify subgroup contributions. A Theseus Plot combines the stepwise progression of a waterfall plot with the comparative bars of a bar chart, offering an intuitive way to understand subgroup-level effects.

r-tempstable 0.2.2
Propagated dependencies: r-vgam@1.1-13 r-stableestim@2.4 r-stabledist@0.7-2 r-rootsolve@1.8.2.4 r-numderiv@2016.8-1.1 r-moments@0.14.1 r-hypergeo@1.2-14 r-gsl@2.1-9 r-foreach@1.5.2 r-doparallel@1.0.17 r-copula@1.1-7
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/TMoek/TempStable
Licenses: GPL 2+
Build system: r
Synopsis: Collection of Methods to Estimate Parameters of Different Tempered Stable Distributions
Description:

This package provides a collection of methods to estimate parameters of different tempered stable distributions (TSD). Currently, there are seven different tempered stable distributions to choose from: Tempered stable subordinator distribution, classical TSD, generalized classical TSD, normal TSD, modified TSD, rapid decreasing TSD, and Kim-Rachev TSD. The package also provides functions to compute density and probability functions and tools to run Monte Carlo simulations. This package has already been used for the estimation of tempered stable distributions (Massing (2023) <arXiv:2303.07060>). The following references form the theoretical background for various functions in this package. References for each function are explicitly listed in its documentation: Bianchi et al. (2010) <doi:10.1007/978-88-470-1481-7_4> Bianchi et al. (2011) <doi:10.1137/S0040585X97984632> Carrasco (2017) <doi:10.1017/S0266466616000025> Feuerverger (1981) <doi:10.1111/j.2517-6161.1981.tb01143.x> Hansen et al. (1996) <doi:10.1080/07350015.1996.10524656> Hansen (1982) <doi:10.2307/1912775> Hofert (2011) <doi:10.1145/2043635.2043638> Kawai & Masuda (2011) <doi:10.1016/j.cam.2010.12.014> Kim et al. (2008) <doi:10.1016/j.jbankfin.2007.11.004> Kim et al. (2009) <doi:10.1007/978-3-7908-2050-8_5> Kim et al. (2010) <doi:10.1016/j.jbankfin.2010.01.015> Kuechler & Tappe (2013) <doi:10.1016/j.spa.2013.06.012> Rachev et al. (2011) <doi:10.1002/9781118268070>.

r-tbl2xts 1.0.4
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-tibble@3.3.0 r-rlang@1.1.6 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://tbl2xts.nfkatzke.com
Licenses: GPL 3
Build system: r
Synopsis: Convert Tibbles or Data Frames to Xts Easily
Description:

Facilitate the movement between data frames to xts'. Particularly useful when moving from tidyverse to the widely used xts package, which is the input format of choice to various other packages. It also allows the user to use a spread_by argument for a character column xts conversion.

r-tabulapdf 1.0.5-5
Propagated dependencies: r-rjava@1.0-11 r-readr@2.1.6 r-png@0.1-8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://docs.ropensci.org/tabulapdf/https://github.com/ropensci/tabulapdf/
Licenses: FSDG-compatible
Build system: r
Synopsis: Extract Tables from PDF Documents
Description:

Bindings for the Tabula <https://tabula.technology/> Java library, which can extract tables from PDF files. This tool can reduce time and effort in data extraction processes in fields like investigative journalism. It allows for automatic and manual table extraction, the latter facilitated through a Shiny interface, enabling manual areas selection\ with a computer mouse for data retrieval.

r-tapkee 1.2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tapkee
Licenses: GPL 2+
Build system: r
Synopsis: Wrapper for 'tapkee' Dimension Reduction Library
Description:

Wrapper for using tapkee command line utility, it allows to run it from inside R and catch the results for further analysis and plotting. Tapkee is a program for fast dimension reduction, see package?tapkee and <http://tapkee.lisitsyn.me/> for installation and other details.

r-tidyheatmap 1.13.1
Propagated dependencies: r-viridis@0.6.5 r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-rcolorbrewer@1.1-3 r-purrr@1.2.0 r-patchwork@1.3.2 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-dplyr@1.1.4 r-dendextend@1.19.1 r-complexheatmap@2.26.0 r-circlize@0.4.16
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://www.r-project.org
Licenses: GPL 3
Build system: r
Synopsis: Tidy Implementation of Heatmap
Description:

This is a tidy implementation for heatmap. At the moment it is based on the (great) package ComplexHeatmap'. The goal of this package is to interface a tidy data frame with this powerful tool. Some of the advantages are: Row and/or columns colour annotations are easy to integrate just specifying one parameter (column names). Custom grouping of rows is easy to specify providing a grouped tbl. For example: df %>% group_by(...). Labels size adjusted by row and column total number. Default use of Brewer and Viridis palettes.

r-tosca 0.3-4
Propagated dependencies: r-wikipedir@1.7.1 r-tm@0.7-16 r-stringr@1.6.0 r-rcolorbrewer@1.1-3 r-quanteda@4.3.1 r-lubridate@1.9.4 r-lda@1.5.2 r-htmltools@0.5.8.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/Docma-TU/tosca
Licenses: GPL 2+
Build system: r
Synopsis: Tools for Statistical Content Analysis
Description:

This package provides a framework for statistical analysis in content analysis. In addition to a pipeline for preprocessing text corpora and linking to the latent Dirichlet allocation from the lda package, plots are offered for the descriptive analysis of text corpora and topic models. In addition, an implementation of Chang's intruder words and intruder topics is provided. Sample data for the vignette is included in the toscaData package, which is available on gitHub: <https://github.com/Docma-TU/toscaData>.

r-tspredit 1.2.767
Propagated dependencies: r-wavelets@0.3-0.2 r-randomforest@4.7-1.2 r-nnet@7.3-20 r-mfilter@0.1-5 r-kfas@1.6.0 r-hht@2.1.6 r-forecast@8.24.0 r-fnn@1.1.4.1 r-elmnnrcpp@1.0.5 r-e1071@1.7-16 r-dplyr@1.1.4 r-desctools@0.99.60 r-daltoolbox@1.3.717
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cefet-rj-dal.github.io/tspredit/
Licenses: Expat
Build system: r
Synopsis: Time Series Prediction with Integrated Tuning
Description:

Time series prediction is a critical task in data analysis, requiring not only the selection of appropriate models, but also suitable data preprocessing and tuning strategies. TSPredIT (Time Series Prediction with Integrated Tuning) is a framework that provides a seamless integration of data preprocessing, decomposition, model training, hyperparameter optimization, and evaluation. Unlike other frameworks, TSPredIT emphasizes the co-optimization of both preprocessing and modeling steps, improving predictive performance. It supports a variety of statistical and machine learning models, filtering techniques, outlier detection, data augmentation, and ensemble strategies. More information is available in Salles et al. <doi:10.1007/978-3-662-68014-8_2>.

r-tabletolongform 1.3.2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://www.stat.auckland.ac.nz/~joh024/Research/TableToLongForm/
Licenses: GPL 3
Build system: r
Synopsis: Automatically Convert Hierarchical for-Human Tables to Machine-Readable LongForm Dataframes
Description:

This package provides a wrapper to a set of algorithms designed to recognise positional cues present in hierarchical for-human Tables (which would normally be interpreted visually by the human brain) to decompose, then reconstruct the data into machine-readable LongForm Dataframes.

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