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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-tinyplot 0.6.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://grantmcdermott.com/tinyplot/
Licenses: FSDG-compatible
Build system: r
Synopsis: Lightweight Extension of the Base R Graphics System
Description:

Lightweight extension of the base R graphics system, with support for automatic legends, facets, themes, and various other enhancements.

r-temporalforest 0.1.4
Propagated dependencies: r-wgcna@1.73 r-partykit@1.2-24 r-glmertree@0.2-6 r-flashclust@1.01-2 r-dynamictreecut@1.63-1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/SisiShao/TemporalForest
Licenses: Expat
Build system: r
Synopsis: Network-Guided Temporal Forests for Feature Selection in High-Dimensional Longitudinal Data
Description:

This package implements the Temporal Forest algorithm for feature selection in high-dimensional longitudinal data. The method combines time-aware network construction via weighted gene co-expression network analysis (WGCNA), module-based feature screening, and stability selection using tree-based models. This package provides tools for reproducible longitudinal analysis, closely following the methodology described in Shao, Moore, and Ramirez (2025) <https://github.com/SisiShao/TemporalForest>.

r-twingp 1.0.0
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-nloptr@2.2.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=twingp
Licenses: ASL 2.0
Build system: r
Synopsis: Fast Global-Local Gaussian Process Approximation
Description:

This package provides a global-local approximation framework for large-scale Gaussian process modeling. Please see Vakayil and Joseph (2024) <doi:10.1080/00401706.2023.2296451> for details. This work is supported by U.S. NSF grants CMMI-1921646 and DMREF-1921873.

r-truelies 0.2.0
Propagated dependencies: r-hdrcde@3.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/hughjonesd/truelies
Licenses: Expat
Build system: r
Synopsis: Bayesian Methods to Estimate the Proportion of Liars in Coin Flip Experiments
Description:

This package implements Bayesian methods, described in Hugh-Jones (2019) <doi:10.1007/s40881-019-00069-x>, for estimating the proportion of liars in coin flip-style experiments, where subjects report a random outcome and are paid for reporting a "good" outcome.

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-toster 0.8.6
Propagated dependencies: r-tidyr@1.3.1 r-r6@2.6.1 r-lifecycle@1.0.4 r-jmvcore@2.7.7 r-ggplot2@4.0.1 r-ggdist@3.3.3 r-distributional@0.5.0 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://aaroncaldwell.us/TOSTERpkg/
Licenses: GPL 3
Build system: r
Synopsis: Two One-Sided Tests (TOST) Equivalence Testing
Description:

Two one-sided tests (TOST) procedure to test equivalence for t-tests, correlations, differences between proportions, and meta-analyses, including power analysis for t-tests and correlations. Allows you to specify equivalence bounds in raw scale units or in terms of effect sizes. See: Lakens (2017) <doi:10.1177/1948550617697177>.

r-topologyr 0.1.2
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/IsadoreNabi/topologyR
Licenses: Expat
Build system: r
Synopsis: Topological Connectivity Analysis for Numeric Data
Description:

Description: Implementation of topological data analysis methods based on graph-theoretic approaches for discovering topological structures in data. The core algorithm constructs topological spaces from graphs following Nada et al. (2018) <doi:10.1002/mma.4726> "New types of topological structures via graphs".

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-twowaytests 1.5
Propagated dependencies: r-wesanderson@0.3.7 r-onewaytests@3.1 r-nortest@1.0-4 r-mass@7.3-65 r-ggplot2@4.0.1 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=twowaytests
Licenses: GPL 2+
Build system: r
Synopsis: Two-Way Tests in Independent Groups Designs
Description:

This package performs two-way tests in independent groups designs. These are two-way ANOVA, two-way ANOVA under heteroscedasticity: parametric bootstrap based generalized test and generalized pivotal quantity based generalized test, two-way ANOVA for medians, trimmed means, M-estimators. The package performs descriptive statistics and graphical approaches. Moreover, it assesses variance homogeneity and normality of data in each group via tests and plots. All twowaytests functions are designed for two-way layout (Dag et al., 2024, <doi:10.1016/j.softx.2024.101862>).

r-twoway 0.6.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/friendly/twoway
Licenses: GPL 3
Build system: r
Synopsis: Analysis of Two-Way Tables
Description:

Carries out analyses of two-way tables with one observation per cell, together with graphical displays for an additive fit and a diagnostic plot for removable non-additivity via a power transformation of the response. It implements Tukey's Exploratory Data Analysis (1973) <ISBN: 978-0201076165> methods, including a 1-degree-of-freedom test for row*column non-additivity', linear in the row and column effects.

r-twenty48 0.2.1
Propagated dependencies: r-rstudioapi@0.17.1 r-r6@2.6.1 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/rossellhayes/twenty48
Licenses: Expat
Build system: r
Synopsis: Play a Game of 2048 in the Console
Description:

Generates a game of 2048 that can be played in the console. Supports grids of arbitrary sizes, undoing the last move, and resuming a game that was exited during the current session.

r-triangulation 0.5.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=triangulation
Licenses: LGPL 2.0+
Build system: r
Synopsis: Determine Position of Observer
Description:

Measuring angles between points in a landscape is much easier than measuring distances. When the location of three points is known the position of the observer can be determined based solely on the angles between these points as seen by the observer. This task (known as triangulation) however requires onerous calculations - these calculations are automated by this package.

r-tnl-test 0.1.0
Propagated dependencies: r-plyr@1.8.9 r-partitions@1.10-9
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/ihababusaif/tnl.Test
Licenses: GPL 3
Build system: r
Synopsis: Non-Parametric Tests for the Two-Sample Problem
Description:

Performing the hypothesis tests for the two sample problem based on order statistics and power comparisons. Calculate the test statistic, density, distribution function, quantile function, random number generation and others.

r-tfdatasets 2.18.0
Propagated dependencies: r-tidyselect@1.2.1 r-tensorflow@2.20.0 r-rlang@1.1.6 r-reticulate@1.44.1 r-magrittr@2.0.4 r-generics@0.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/rstudio/tfdatasets
Licenses: ASL 2.0
Build system: r
Synopsis: Interface to 'TensorFlow' Datasets
Description:

Interface to TensorFlow Datasets, a high-level library for building complex input pipelines from simple, re-usable pieces. See <https://www.tensorflow.org/guide> for additional details.

r-tsmodel 0.6-2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tsModel
Licenses: GPL 2+
Build system: r
Synopsis: Time Series Modeling for Air Pollution and Health
Description:

This package provides tools for specifying time series regression models.

r-ttt 1.0
Propagated dependencies: r-knitr@1.50 r-htmltools@0.5.8.1 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/benjaminrich/ttt
Licenses: GPL 3
Build system: r
Synopsis: The Table Tool
Description:

Create structured, formatted HTML tables of in a flexible and convenient way.

r-thurmod 1.1.11
Propagated dependencies: r-mvtnorm@1.3-3 r-matrixstats@1.5.0 r-mass@7.3-65 r-lavaan@0.6-20
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/MarkusTJansen/ThurMod
Licenses: GPL 3+
Build system: r
Synopsis: Thurstonian CFA and Thurstonian IRT Modeling
Description:

Fit Thurstonian forced-choice models (CFA (simple and factor) and IRT) in R. This package allows for the analysis of item response modeling (IRT) as well as confirmatory factor analysis (CFA) in the Thurstonian framework. Currently, estimation can be performed by Mplus and lavaan'. References: Brown & Maydeu-Olivares (2011) <doi:10.1177/0013164410375112>; Jansen, M. T., & Schulze, R. (in review). The Thurstonian linked block design: Improving Thurstonian modeling for paired comparison and ranking data.; Maydeu-Olivares & Böckenholt (2005) <doi:10.1037/1082-989X.10.3.285>.

r-tssmoothing 0.1.0
Propagated dependencies: r-matrix@1.7-4 r-mass@7.3-65 r-gridextra@2.3 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TSsmoothing
Licenses: GPL 3
Build system: r
Synopsis: Trend Estimation of Univariate and Bivariate Time Series with Controlled Smoothness
Description:

It performs the smoothing approach provided by penalized least squares for univariate and bivariate time series, as proposed by Guerrero (2007) and Gerrero et al. (2017). This allows to estimate the time series trend by controlling the amount of resulting (joint) smoothness. --- Guerrero, V.M (2007) <DOI:10.1016/j.spl.2007.03.006>. Guerrero, V.M; Islas-Camargo, A. and Ramirez-Ramirez, L.L. (2017) <DOI:10.1080/03610926.2015.1133826>.

r-tvem 1.4.1
Propagated dependencies: 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=tvem
Licenses: GPL 2+
Build system: r
Synopsis: Time-Varying Effect Models
Description:

Fits time-varying effect models (TVEM). These are a kind of application of varying-coefficient models in the context of longitudinal data, allowing the strength of linear, logistic, or Poisson regression relationships to change over time. These models are described further in Tan, Shiyko, Li, Li & Dierker (2012) <doi:10.1037/a0025814>. We thank Kaylee Litson, Patricia Berglund, Yajnaseni Chakraborti, and Hanjoo Kim for their valuable help with testing the package and the documentation. The development of this package was part of a research project supported by National Institutes of Health grants P50 DA039838 from the National Institute of Drug Abuse and 1R01 CA229542-01 from the National Cancer Institute and the NIH Office of Behavioral and Social Science Research. Content is solely the responsibility of the authors and does not necessarily represent the official views of the funding institutions mentioned above. This software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

r-twophasecorr 1.1.1
Propagated dependencies: r-matrix@1.7-4 r-mass@7.3-65 r-ggplot2@4.0.1 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=TwoPhaseCorR
Licenses: GPL 3
Build system: r
Synopsis: Construct Two-Phase Experimental Designs with Correlated Errors
Description:

This package provides tools for constructing and analyzing two-phase experimental designs under correlated error structures. Version 1.1.1 includes improved efficiency factor classification with tolerance control, updated plot visualizations, and improved clarity of the results. The conceptual framework and the term two-phase were introduced by McIntyre (1955) <doi:10.2307/3001770>).

r-thomasjeffersonuniv 0.1.3
Propagated dependencies: r-zoo@1.8-14 r-writexl@1.5.4 r-timedate@4051.111 r-survival@3.8-3 r-stringi@1.8.7 r-stringdist@0.9.15 r-lubridate@1.9.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=ThomasJeffersonUniv
Licenses: GPL 2
Build system: r
Synopsis: Handy Tools for TJU/TJUH Employees
Description:

This package provides functions for admin needs of employees of Thomas Jefferson University and Thomas Jefferson University Hospital, Philadelphia, PA.

r-teqr 6.0-0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TEQR
Licenses: GPL 2
Build system: r
Synopsis: Target Equivalence Range Design
Description:

The TEQR package contains software to calculate the operating characteristics for the TEQR and the ACT designs.The TEQR (toxicity equivalence range) design is a toxicity based cumulative cohort design with added safety rules. The ACT (Activity constrained for toxicity) design is also a cumulative cohort design with additional safety rules. The unique feature of this design is that dose is escalated based on lack of activity rather than on lack of toxicity and is de-escalated only if an unacceptable level of toxicity is experienced.

r-tatooheene 1.0.0
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-dplyr@1.1.4 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tatooheene
Licenses: Expat
Build system: r
Synopsis: Technology Appraisal Toolbox for Health Economic Evaluations in the Netherlands
Description:

This package provides functions to support economic modelling in R based on the methods of the Dutch guideline for economic evaluations in healthcare <https://www.zorginstituutnederland.nl/documenten/2024/01/16/richtlijn-voor-het-uitvoeren-van-economische-evaluaties-in-de-gezondheidszorg>, CBS data <https://www.cbs.nl/>, and OECD data <https://www.oecd.org/en.html>.

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>.

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Total results: 69112