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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-tensormcmc 0.1.0
Propagated dependencies: r-rcpp@1.1.0 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TensorMCMC
Licenses: Expat
Build system: r
Synopsis: Tensor Regression with Stochastic Low-Rank Updates
Description:

This package provides methods for low-rank tensor regression with tensor-valued predictors and scalar covariates. Model estimation is performed using stochastic optimization with random-walk updates for low-rank factor matrices. Computationally intensive components for coefficient estimation and prediction are implemented in C++ via Rcpp'. The package also includes tools for cross-validation and prediction error assessment.

r-tfrmt 0.3.0
Propagated dependencies: 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-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-gt@1.3.0 r-glue@1.8.0 r-ggplot2@4.0.1 r-forcats@1.0.1 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://GSK-Biostatistics.github.io/tfrmt/
Licenses: FSDG-compatible
Build system: r
Synopsis: Applies Display Metadata to Analysis Results Datasets
Description:

This package creates a framework to store and apply display metadata to Analysis Results Datasets (ARDs). The use of tfrmt allows users to define table format and styling without the data, and later apply the format to the data.

r-tashiny 0.1.0
Propagated dependencies: r-wordcloud2@0.2.1 r-tm@0.7-16 r-snowballc@0.7.1 r-shiny@1.11.1 r-igraph@2.2.1 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=TAShiny
Licenses: GPL 2
Build system: r
Synopsis: 'Text Analyzer Shiny'
Description:

Interactive shiny application for working with textmining and text analytics. Various visualizations are provided.

r-tssvm 0.1.0
Propagated dependencies: r-forecast@8.24.0 r-e1071@1.7-16
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TSSVM
Licenses: GPL 3
Build system: r
Synopsis: Time Series Forecasting using SVM Model
Description:

Implementation and forecasting univariate time series data using the Support Vector Machine model. Support Vector Machine is one of the prominent machine learning approach for non-linear time series forecasting. For method details see Kim, K. (2003) <doi:10.1016/S0925-2312(03)00372-2>.

r-testgardener 3.3.6
Propagated dependencies: r-utf8@1.2.6 r-tidyr@1.3.1 r-stringr@1.6.0 r-rmarkdown@2.30 r-pracma@2.4.6 r-plotly@4.11.0 r-knitr@1.50 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-fda@6.3.0 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=TestGardener
Licenses: GPL 2+
Build system: r
Synopsis: Information Analysis for Test and Rating Scale Data
Description:

Develop, evaluate, and score multiple choice examinations, psychological scales, questionnaires, and similar types of data involving sequences of choices among one or more sets of answers. This version of the package should be considered as brand new. Almost all of the functions have been changed, including their argument list. See the file NEWS.Rd in the Inst folder for more information. Using the package does not require any formal statistical knowledge beyond what would be provided by a first course in statistics in a social science department. There the user would encounter the concept of probability and how it is used to model data and make decisions, and would become familiar with basic mathematical and statistical notation. Most of the output is in graphical form.

r-term 0.3.7
Propagated dependencies: r-vctrs@0.6.5 r-universals@0.0.5 r-rlang@1.1.6 r-purrr@1.2.0 r-lifecycle@1.0.4 r-extras@0.8.0 r-chk@0.10.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://poissonconsulting.github.io/term/
Licenses: Expat
Build system: r
Synopsis: Create, Manipulate and Query Parameter Terms
Description:

Creates, manipulates, queries and repairs vectors of parameter terms. Parameter terms are the labels used to reference values in vectors, matrices and arrays. They represent the names in coefficient tables and the column names in mcmc and mcmc.list objects.

r-tinyspotifyr 0.2.2
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://github.com/TroyHernandez/tinyspotifyr
Licenses: Expat
Build system: r
Synopsis: Tinyverse R Wrapper for the 'Spotify' Web API
Description:

An R wrapper for the Spotify Web API <https://developer.spotify.com/web-api/>.

r-text2map 0.2.0
Propagated dependencies: r-tibble@3.3.0 r-text2vec@0.6.4 r-stringi@1.8.7 r-rsvd@1.0.5 r-rlang@1.1.6 r-qgraph@1.9.8 r-permute@0.9-8 r-matrix@1.7-4 r-kit@0.0.20 r-igraph@2.2.1 r-foreach@1.5.2 r-fastmatch@1.1-6 r-dplyr@1.1.4 r-doparallel@1.0.17 r-clusterr@1.3.5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://gitlab.com/culturalcartography/text2map
Licenses: Expat
Build system: r
Synopsis: R Tools for Text Matrices, Embeddings, and Networks
Description:

This is a collection of functions optimized for working with with various kinds of text matrices. Focusing on the text matrix as the primary object - represented either as a base R dense matrix or a Matrix package sparse matrix - allows for a consistent and intuitive interface that stays close to the underlying mathematical foundation of computational text analysis. In particular, the package includes functions for working with word embeddings, text networks, and document-term matrices. Methods developed in Stoltz and Taylor (2019) <doi:10.1007/s42001-019-00048-6>, Taylor and Stoltz (2020) <doi:10.1007/s42001-020-00075-8>, Taylor and Stoltz (2020) <doi:10.15195/v7.a23>, and Stoltz and Taylor (2021) <doi:10.1016/j.poetic.2021.101567>.

r-tigerhitter 1.1.0
Propagated dependencies: r-zoo@1.8-14 r-openxlsx@4.2.8.1 r-magrittr@2.0.4 r-hmisc@5.2-4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/Willdata/tigerhitteR
Licenses: GPL 3+
Build system: r
Synopsis: Pre-Process of Time Series Data Set in R
Description:

Pre-process for discrete time series data set which is not continuous at the column of date'. Refilling records of missing date and other columns to the hollow data set so that final data set is able to be dealt with time series analysis.

r-tttensor 1.0.2
Propagated dependencies: r-rtensor@1.4.9 r-ptak@2.0.0 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/rikenbit/ttTensor
Licenses: Expat
Build system: r
Synopsis: Tensor-Train Decomposition
Description:

Tensor-train is a compact representation for higher-order tensors. Some algorithms for performing tensor-train decomposition are available such as TT-SVD, TT-WOPT, and TT-Cross. For the details of the algorithms, see I. V. Oseledets (2011) <doi:10.1137/090752286>, Yuan Longao, et al (2017) <doi:10.48550/arXiv.1709.02641>, I. V. Oseledets (2010) <doi:10.1016/j.laa.2009.07.024>.

r-tcl 1.0.1
Propagated dependencies: r-rlang@1.1.6 r-psychotools@0.7-5 r-numderiv@2016.8-1.1 r-matrix@1.7-4 r-mass@7.3-65 r-ltm@1.2-0 r-lattice@0.22-7 r-erm@1.0-10
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tcl
Licenses: GPL 2
Build system: r
Synopsis: Testing in Conditional Likelihood Context
Description:

An implementation of hypothesis testing in an extended Rasch modeling framework, including sample size planning procedures and power computations. Provides 4 statistical tests, i.e., gradient test (GR), likelihood ratio test (LR), Rao score or Lagrange multiplier test (RS), and Wald test, for testing a number of hypotheses referring to the Rasch model (RM), linear logistic test model (LLTM), rating scale model (RSM), and partial credit model (PCM). Three types of functions for power and sample size computations are provided. Firstly, functions to compute the sample size given a user-specified (predetermined) deviation from the hypothesis to be tested, the level alpha, and the power of the test. Secondly, functions to evaluate the power of the tests given a user-specified (predetermined) deviation from the hypothesis to be tested, the level alpha of the test, and the sample size. Thirdly, functions to evaluate the so-called post hoc power of the tests. This is the power of the tests given the observed deviation of the data from the hypothesis to be tested and a user-specified level alpha of the test. Power and sample size computations are based on a Monte Carlo simulation approach. It is computationally very efficient. The variance of the random error in computing power and sample size arising from the simulation approach is analytically derived by using the delta method. Additionally, functions to compute the power of the tests as a function of an effect measure interpreted as explained variance are provided. Draxler, C., & Alexandrowicz, R. W. (2015), <doi:10.1007/s11336-015-9472-y>.

r-twowayfeweights 2.0.4
Propagated dependencies: r-rlang@1.1.6 r-magrittr@2.0.4 r-haven@2.5.5 r-fixest@0.13.2 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/chaisemartinPackages
Licenses: Expat
Build system: r
Synopsis: Estimation of the Weights Attached to the Two-Way Fixed Effects Regressions
Description:

Estimates the weights and measure of robustness to treatment effect heterogeneity attached to two-way fixed effects regressions. Clément de Chaisemartin, Xavier D'HaultfŠuille (2020) <DOI: 10.1257/aer.20181169>.

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
Build system: r
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-testcor 0.0.2.2
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 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=TestCor
Licenses: GPL 2+
Build system: r
Synopsis: FWER and FDR Controlling Procedures for Multiple Correlation Tests
Description:

Different multiple testing procedures for correlation tests are implemented. These procedures were shown to theoretically control asymptotically the Family Wise Error Rate (Roux (2018) <https://tel.archives-ouvertes.fr/tel-01971574v1>) or the False Discovery Rate (Cai & Liu (2016) <doi:10.1080/01621459.2014.999157>). The package gather four test statistics used in correlation testing, four FWER procedures with either single step or stepdown versions, and four FDR procedures.

r-textab 1.0.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://setzler.github.io/textab/
Licenses: Expat
Build system: r
Synopsis: Create Highly-Customized 'LaTeX' Tables
Description:

Generate LaTeX tables directly from R. It builds LaTeX tables in blocks in the spirit of ggplot2 using the + and / operators for concatenation in the vertical and horizontal dimensions, respectively. It exports tables in the LaTeX tabular environment using .tex code. It can compile .tex code to PDF automatically.

r-tlic 0.4
Propagated dependencies: r-laplacesdemon@16.1.6 r-fbasics@4041.97
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TLIC
Licenses: Expat
Build system: r
Synopsis: The LIC for T Distribution Regression Analysis
Description:

This comprehensive toolkit for T-distributed regression is designated as "TLIC" (The LIC for T Distribution Regression Analysis) analysis. It is predicated on the assumption that the error term adheres to a T-distribution. The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02664763.2022.2053949>.

r-topologygsa 1.5.0
Propagated dependencies: r-igraph@2.2.1 r-grbase@2.0.3 r-graph@1.88.0 r-fields@17.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=topologyGSA
Licenses: GPL 3
Build system: r
Synopsis: Gene Set Analysis Exploiting Pathway Topology
Description:

Using Gaussian graphical models we propose a novel approach to perform pathway analysis using gene expression. Given the structure of a graph (a pathway) we introduce two statistical tests to compare the mean and the concentration matrices between two groups. Specifically, these tests can be performed on the graph and on its connected components (cliques). The package is based on the method described in Massa M.S., Chiogna M., Romualdi C. (2010) <doi:10.1186/1752-0509-4-121>.

r-truncatednormal 2.3
Propagated dependencies: r-spacefillr@0.4.0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-qrng@0.0-11 r-nleqslv@3.3.5 r-alabama@2023.1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TruncatedNormal
Licenses: GPL 3
Build system: r
Synopsis: Truncated Multivariate Normal and Student Distributions
Description:

This package provides a collection of functions to deal with the truncated univariate and multivariate normal and Student distributions, described in Botev (2017) <doi:10.1111/rssb.12162> and Botev and L'Ecuyer (2015) <doi:10.1109/WSC.2015.7408180>.

r-trackdf 0.3.3
Propagated dependencies: r-tibble@3.3.0 r-sf@1.0-23 r-lubridate@1.9.4 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://swarm-lab.github.io/trackdf/
Licenses: GPL 3
Build system: r
Synopsis: Data Frame Class for Tracking Data
Description:

Data frame class for storing collective movement data (e.g. fish schools, ungulate herds, baboon troops) collected from GPS trackers or computer vision tracking software.

r-tidychangepoint 1.0.4
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-wbs@1.4.1 r-vctrs@0.6.5 r-tsibble@1.1.6 r-tidyr@1.3.1 r-tibble@3.3.0 r-strucchange@1.5-4 r-stringr@1.6.0 r-segmented@2.1-4 r-scales@1.4.0 r-rlang@1.1.6 r-purrr@1.2.0 r-prettyunits@1.2.0 r-memoise@2.0.1 r-lubridate@1.9.4 r-lifecycle@1.0.4 r-ggplot2@4.0.1 r-generics@0.1.4 r-ga@3.2.4 r-dplyr@1.1.4 r-cli@3.6.5 r-changepointga@0.1.3 r-changepoint@2.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://beanumber.github.io/tidychangepoint/
Licenses: GPL 3+
Build system: r
Synopsis: Tidy Framework for Changepoint Detection Analysis
Description:

Changepoint detection algorithms for R are widespread but have different interfaces and reporting conventions. This makes the comparative analysis of results difficult. We solve this problem by providing a tidy, unified interface for several different changepoint detection algorithms. We also provide consistent numerical and graphical reporting leveraging the broom and ggplot2 packages.

r-tpmsm 1.2.14
Propagated dependencies: r-kernsmooth@2.23-26
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/arturstat/TPmsm
Licenses: GPL 3
Build system: r
Synopsis: Estimation of Transition Probabilities in Multistate Models
Description:

Estimation of transition probabilities for the illness-death model and or the three-state progressive model.

r-tpea 3.1.0
Propagated dependencies: r-xml@3.99-0.20 r-rcurl@1.98-1.17 r-mess@0.6.0 r-matrix@1.7-4 r-igraph@2.2.1 r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TPEA
Licenses: GPL 2
Build system: r
Synopsis: Novel Topology-Based Pathway Enrichment Analysis Approach
Description:

We described a novel Topology-based pathway enrichment analysis, which integrated the global position of the nodes and the topological property of the pathways in Kyoto Encyclopedia of Genes and Genomes Database. We also provide some functions to obtain the latest information about pathways to finish pathway enrichment analysis using this method.

r-torchmaum 2025.7.30
Propagated dependencies: r-torch@0.16.3 r-ggplot2@4.0.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/OGuenoun/torchMAUM
Licenses: LGPL 3
Build system: r
Synopsis: Multi-Class Area Under the Minimum in Torch
Description:

Torch code for computing multi-class Area Under The Minimum, <https://www.jmlr.org/papers/v24/21-0751.html>, Generalization. Useful for optimizing Area under the curve.

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/>).

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