_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
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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-tab2xml 1.1.0
Propagated dependencies: r-stringr@1.6.0 r-readxl@1.4.5 r-readods@2.3.2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://josesamos.github.io/tab2xml/
Licenses: Expat
Synopsis: XML Generation from Tables
Description:

Converting structured data from tables into XML format using predefined templates ensures consistency and flexibility, making it ideal for data exchange, reporting, and automated workflows.

r-treeheatr 0.2.1
Propagated dependencies: r-yardstick@1.3.2 r-tidyr@1.3.1 r-seriation@1.5.8 r-partykit@1.2-24 r-gtable@0.3.6 r-ggplot2@4.0.1 r-ggparty@1.0.0.1 r-ggnewscale@0.5.2 r-dplyr@1.1.4 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://trang1618.github.io/treeheatr/index.html
Licenses: Expat
Synopsis: Heatmap-Integrated Decision Tree Visualizations
Description:

This package creates interpretable decision tree visualizations with the data represented as a heatmap at the tree's leaf nodes. treeheatr utilizes the customizable ggparty package for drawing decision trees.

r-tumgr 0.0.4
Propagated dependencies: r-minpack-lm@1.2-4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://wilkersj.shinyapps.io/tumgrShiny
Licenses: Expat
Synopsis: Tumor Growth Rate Analysis
Description:

This package provides a tool to obtain tumor growth rates from clinical trial patient data. Output includes individual and summary data for tumor growth rate estimates as well as optional plots of the observed and predicted tumor quantity over time.

r-textrank 0.3.1
Propagated dependencies: r-igraph@2.2.1 r-digest@0.6.39 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/bnosac/textrank
Licenses: FSDG-compatible
Synopsis: Summarize Text by Ranking Sentences and Finding Keywords
Description:

The textrank algorithm is an extension of the Pagerank algorithm for text. The algorithm allows to summarize text by calculating how sentences are related to one another. This is done by looking at overlapping terminology used in sentences in order to set up links between sentences. The resulting sentence network is next plugged into the Pagerank algorithm which identifies the most important sentences in your text and ranks them. In a similar way textrank can also be used to extract keywords. A word network is constructed by looking if words are following one another. On top of that network the Pagerank algorithm is applied to extract relevant words after which relevant words which are following one another are combined to get keywords. More information can be found in the paper from Mihalcea, Rada & Tarau, Paul (2004) <https://www.aclweb.org/anthology/W04-3252/>.

r-tidysynthesis 0.1.2
Propagated dependencies: r-yardstick@1.3.2 r-workflows@1.3.0 r-vctrs@0.6.5 r-tune@2.0.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rsample@1.3.1 r-rlang@1.1.6 r-recipes@1.3.1 r-purrr@1.2.0 r-progressr@0.18.0 r-pillar@1.11.1 r-parsnip@1.3.3 r-forcats@1.0.1 r-extdist@0.7-4 r-dplyr@1.1.4 r-dapper@1.0.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://ui-research.github.io/tidysynthesis-documentation/
Licenses: GPL 3
Synopsis: Common API for Synthesizing Data
Description:

This package provides a system built on tidymodels for generating synthetic tabular data. We provide tools for ordering a sequential synthesis, feature and target engineering, sampling, hyperparameter tuning, enforcing constraints, and adding extra noise during a synthesis.

r-terminaldigits 0.1.0
Propagated dependencies: r-rcpp@1.1.0 r-discretefit@0.1.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=terminaldigits
Licenses: Expat
Synopsis: Tests of Uniformity and Independence for Terminal Digits
Description:

This package implements simulated tests for the hypothesis that terminal digits are uniformly distributed (chi-squared goodness-of-fit) and the hypothesis that terminal digits are independent from preceding digits (several tests of independence for r x c contingency tables). Also, for a number of distributions, implements Monte Carlo simulations for type I errors and power for the test of independence.

r-tsrepr 1.1.0
Propagated dependencies: r-wavelets@0.3-0.2 r-rcpp@1.1.0 r-quantreg@6.1 r-mgcv@1.9-4 r-mass@7.3-65 r-dtt@0.1-2.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://petolau.github.io/package/
Licenses: GPL 3 FSDG-compatible
Synopsis: Time Series Representations
Description:

This package provides methods for representations (i.e. dimensionality reduction, preprocessing, feature extraction) of time series to help more accurate and effective time series data mining. Non-data adaptive, data adaptive, model-based and data dictated (clipped) representation methods are implemented. Also various normalisation methods (min-max, z-score, Box-Cox, Yeo-Johnson), and forecasting accuracy measures are implemented.

r-twosampletest-hd 1.2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TwoSampleTest.HD
Licenses: GPL 2
Synopsis: Two-Sample Test for the Equality of Distributions for High-Dimensional Data
Description:

For high-dimensional data whose main feature is a large number, p, of variables but a small sample size, the null hypothesis that the marginal distributions of p variables are the same for two groups is tested. We propose a test statistic motivated by the simple idea of comparing, for each of the p variables, the empirical characteristic functions computed from the two samples. If one rejects this global null hypothesis of no differences in distributions between the two groups, a set of permutation p-values is reported to identify which variables are not equally distributed in both groups.

r-tbest 5.2
Propagated dependencies: r-signal@1.8-1 r-fdrtool@1.2.18
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TBEST
Licenses: GPL 2
Synopsis: Tree Branches Evaluated Statistically for Tightness
Description:

Our method introduces mathematically well-defined measures for tightness of branches in a hierarchical tree. Statistical significance of the findings is determined, for all branches of the tree, by performing permutation tests, optionally with generalized Pareto p-value estimation.

r-tipitaka 0.1.2
Propagated dependencies: r-stringr@1.6.0 r-stringi@1.8.7 r-magrittr@2.0.4 r-dplyr@1.1.4 r-cpp11@0.5.2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tipitaka
Licenses: CC0
Synopsis: Data and Tools for Analyzing the Pali Canon
Description:

This package provides access to the complete Pali Canon, or Tipitaka, the canonical scripture for Theravadin Buddhists worldwide. Based on the Chattha Sangayana Tipitaka version 4 (Vipassana Research Institute, 1990).

r-trnslate 0.0.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: <https://marioma.me?i=soft>
Licenses: GPL 2+
Synopsis: Translate R Code in Source Files
Description:

Evaluate inline or chunks of R code in template files and replace with their output modifying the resulting template.

r-tpn 1.12
Propagated dependencies: r-vgam@1.1-13 r-skewmlrm@1.7 r-rbe3@1.1 r-pracma@2.4.6 r-moments@0.14.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tpn
Licenses: GPL 2+
Synopsis: Truncated Positive Normal Model and Extensions
Description:

Provide data generation and estimation tools for the truncated positive normal (tpn) model discussed in Gomez, Olmos, Varela and Bolfarine (2018) <doi:10.1007/s11766-018-3354-x>, the slash tpn distribution discussed in Gomez, Gallardo and Santoro (2021) <doi:10.3390/sym13112164>, the bimodal tpn distribution discussed in Gomez et al. (2022) <doi:10.3390/sym14040665>, the flexible tpn model <doi:10.3390/math11214431> and the unit tpn distribution <doi:10.1016/j.chemolab.2025.105322>.

r-tratamentos-ad 0.2.4
Propagated dependencies: r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=Tratamentos.ad
Licenses: GPL 3
Synopsis: Pacote Para Analise De Experimentos Com Testemunhas Adicionais
Description:

Pacote para a analise de experimentos com um ou dois fatores com testemunhas adicionais conduzidos no delineamento inteiramente casualizado ou em blocos casualizados. "Package for the analysis of one or two-way experiments with additional controls conducted in a completely randomized design or in a randomized block design".

r-tfhub 0.8.1
Propagated dependencies: r-vctrs@0.6.5 r-tensorflow@2.20.0 r-rstudioapi@0.17.1 r-reticulate@1.44.1 r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/rstudio/tfhub
Licenses: ASL 2.0
Synopsis: Interface to 'TensorFlow' Hub
Description:

TensorFlow Hub is a library for the publication, discovery, and consumption of reusable parts of machine learning models. A module is a self-contained piece of a TensorFlow graph, along with its weights and assets, that can be reused across different tasks in a process known as transfer learning. Transfer learning train a model with a smaller dataset, improve generalization, and speed up training.

r-twosamples 2.0.1
Propagated dependencies: r-cpp11@0.5.2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://twosampletest.com
Licenses: GPL 2+
Synopsis: Fast Permutation Based Two Sample Tests
Description:

Fast randomization based two sample tests. Testing the hypothesis that two samples come from the same distribution using randomization to create p-values. Included tests are: Kolmogorov-Smirnov, Kuiper, Cramer-von Mises, Anderson-Darling, Wasserstein, and DTS. The default test (two_sample) is based on the DTS test statistic, as it is the most powerful, and thus most useful to most users. The DTS test statistic builds on the Wasserstein distance by using a weighting scheme like that of Anderson-Darling. See the companion paper at <arXiv:2007.01360> or <https://codowd.com/public/DTS.pdf> for details of that test statistic, and non-standard uses of the package (parallel for big N, weighted observations, one sample tests, etc). We also include the permutation scheme to make test building simple for others.

r-tvmm 3.2.1
Propagated dependencies: r-tcltk2@1.6.1 r-robustbase@0.99-6 r-mass@7.3-65 r-gridextra@2.3 r-ggplot2@4.0.1 r-desctoolsaddins@1.12
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TVMM
Licenses: GPL 2
Synopsis: Multivariate Tests for the Vector of Means
Description:

This is a statistical tool interactive that provides multivariate statistical tests that are more powerful than traditional Hotelling T2 test and LRT (likelihood ratio test) for the vector of normal mean populations with and without contamination and non-normal populations (Henrique J. P. Alves & Daniel F. Ferreira (2019) <DOI: 10.1080/03610918.2019.1693596>).

r-triadsim 0.3.0
Propagated dependencies: r-snpstats@1.60.0 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TriadSim
Licenses: GPL 3
Synopsis: Simulating Triad Genomewide Genotypes
Description:

Simulate genotypes for case-parent triads, case-control, and quantitative trait samples with realistic linkage diequilibrium structure and allele frequency distribution. For studies of epistasis one can simulate models that involve specific SNPs at specific sets of loci, which we will refer to as "pathways". TriadSim generates genotype data by resampling triad genotypes from existing data. The details of the method is described in the manuscript under preparation "Simulating Autosomal Genotypes with Realistic Linkage Disequilibrium and a Spiked in Genetic Effect" Shi, M., Umbach, D.M., Wise A.S., Weinberg, C.R.

r-tts 1.1
Propagated dependencies: r-sfsmisc@1.1-23 r-mgcv@1.9-4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TTS
Licenses: GPL 2+
Synopsis: Master Curve Estimates Corresponding to Time-Temperature Superposition
Description:

Time-Temperature Superposition analysis is often applied to frequency modulated data obtained by Dynamic Mechanic Analysis (DMA) and Rheometry in the analytical chemistry and physics areas. These techniques provide estimates of material mechanical properties (such as moduli) at different temperatures in a wider range of time. This package provides the Time-Temperature superposition Master Curve at a referred temperature by the three methods: the two wider used methods, Arrhenius based methods and WLF, and the newer methodology based on derivatives procedure. The Master Curve is smoothed by B-splines basis. The package output is composed of plots of experimental data, horizontal and vertical shifts, TTS data, and TTS data fitted using B-splines with bootstrap confidence intervals.

r-tgs 1.0.1
Propagated dependencies: r-rjson@0.2.23 r-minet@3.68.0 r-ggm@2.5.2 r-foreach@1.5.2 r-doparallel@1.0.17 r-bnstruct@1.0.15
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://www.biorxiv.org/content/early/2018/06/14/272484
Licenses: FSDG-compatible
Synopsis: Rapid Reconstruction of Time-Varying Gene Regulatory Networks
Description:
Rapid advancements in high-throughput gene sequencing technologies have resulted in genome-scale time-series datasets. Uncovering the underlying temporal sequence of gene regulatory events in the form of time-varying gene regulatory networks demands accurate and computationally efficient algorithms. Such an algorithm is TGS'. It is proposed in Saptarshi Pyne, Alok Ranjan Kumar, and Ashish Anand. Rapid reconstruction of time-varying gene regulatory networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(1):278{291, Jan-Feb 2020. The TGS algorithm is shown to consume only 29 minutes for a microarray dataset with 4028 genes. This package provides an implementation of the TGS algorithm and its variants.
r-tohm 1.4
Propagated dependencies: r-rmpfr@1.1-2 r-nloptr@2.2.1 r-matrix@1.7-4 r-igraph@2.2.1 r-eql@1.0-1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TOHM
Licenses: GPL 2
Synopsis: Testing One Hypothesis Multiple Times
Description:

Approximations of global p-values when testing hypothesis in presence of non-identifiable nuisance parameters. The method relies on the Euler characteristic heuristic and the expected Euler characteristic is efficiently computed by in Algeri and van Dyk (2018) <arXiv:1803.03858>.

r-tablecompare 0.1.1
Propagated dependencies: r-tidyselect@1.2.1 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-glue@1.8.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/eutwt/tablecompare
Licenses: Expat
Synopsis: Compare Data Frames
Description:

This package provides a toolbox for comparing two data frames. This package is defunct. I recommend you use the "versus" package instead.

r-thriftr 1.1.8
Propagated dependencies: r-stringi@1.8.7 r-rly@1.7.7 r-r6@2.6.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/systemincloud/thriftr
Licenses: Expat
Synopsis: Apache Thrift Client Server
Description:

Pure R implementation of Apache Thrift. This library doesn't require any code generation. To learn more about Thrift go to <https://thrift.apache.org>.

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
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-testgenerator 0.4.0
Propagated dependencies: r-withr@3.0.2 r-tibble@3.3.0 r-testthat@3.3.0 r-rlang@1.1.6 r-readxl@1.4.5 r-readr@2.1.6 r-openxlsx@4.2.8.1 r-omopgenerics@1.3.5 r-jsonlite@2.0.0 r-glue@1.8.0 r-ggplot2@4.0.1 r-duckdb@1.4.2 r-dplyr@1.1.4 r-dbi@1.2.3 r-cli@3.6.5 r-checkmate@2.3.3 r-cdmconnector@2.2.0 r-arrow@22.0.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/darwin-eu/TestGenerator
Licenses: FSDG-compatible
Synopsis: Integration Unit Tests for Pharmacoepidemiological Studies
Description:

An R interface to load testing data in the OMOP Common Data Model ('CDM'). An input file, csv or xlsx, can be converted to a CDMConnector object. This object can be used to execute and test studies that use the CDM <https://www.ohdsi.org/data-standardization/>.

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Total results: 68249