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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-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
Build system: r
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-trc 0.2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://sites.google.com/site/dhyeonyu/software
Licenses: GPL 2+
Build system: r
Synopsis: Truncated Rank Correlation
Description:

This package provides a new measure of similarity between a pair of mass spectrometry (MS) experiments, called truncated rank correlation (TRC). To provide a robust metric of similarity in noisy high-dimensional data, TRC uses truncated top ranks (or top m-ranks) for calculating correlation. Truncated rank correlation as a robust measure of test-retest reliability in mass spectrometry data. For more details see Lim et al. (2019) <doi:10.1515/sagmb-2018-0056>.

r-twostepclogit 1.2.6
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TwoStepCLogit
Licenses: GPL 2
Build system: r
Synopsis: Conditional Logistic Regression: A Two-Step Estimation Method
Description:

Conditional logistic regression with longitudinal follow up and individual-level random coefficients: A stable and efficient two-step estimation method.

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-tsewgt 0.1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TSEwgt
Licenses: GPL 2+
Build system: r
Synopsis: Total Survey Error Under Multiple, Different Weighting Schemes
Description:

Calculates total survey error (TSE) for a survey under multiple, different weighting schemes, using both scale-dependent and scale-independent metrics. Package works directly from the data set, with no hand calculations required: just upload a properly structured data set (see TESTWGT and its documentation), properly input column names (see functions documentation), and run your functions. For more on TSE, see: Weisberg, Herbert (2005, ISBN:0-226-89128-3); Biemer, Paul (2010) <doi:10.1093/poq/nfq058>; Biemer, Paul et.al. (2017, ISBN:9781119041672); etc.

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-testarguments 0.0.1
Propagated dependencies: r-reshape2@1.4.5 r-plyr@1.8.9 r-magrittr@2.0.4 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=testarguments
Licenses: Expat
Build system: r
Synopsis: Test (Multiple) Arguments of a User-Defined Prediction Algorithm
Description:

Finding the best values for user-specified arguments of a prediction algorithm can be difficult, particularly if there is an interaction between argument levels. This package automates the testing of any user-defined prediction algorithm over an arbitrary number of arguments. It includes functions for testing the algorithm over the given arguments with respect to an arbitrary number of user-defined diagnostics, visualising the results of these tests, and finding the optimal argument combinations with respect to each diagnostic.

r-timetraits 1.1.0
Propagated dependencies: r-pracma@2.4.6 r-lomb@2.5.0 r-fdaoutlier@0.2.1 r-fda@6.3.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/scllock/TimeTraits
Licenses: Expat
Build system: r
Synopsis: Functional Data Analysis Pipeline, Extracting Functional Traits from Biological Time-Series Data
Description:

This package provides a pipeline of tools for analysing circadian time-series data using functional data analysis (FDA). The package supports smoothing of rhythmic time series, functional principle component analysis (FPCA), and extraction of group-level traits from functional representations. Analyses can incorporate multiple curve derivatives and optional temporal segmentation, enabling comparative analysis of circadian dynamics across experimental groups and time windows.

r-tidydatatutor 0.1.0
Propagated dependencies: r-rstudioapi@0.17.1 r-knitr@1.50 r-clipr@0.8.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/seankross/tidydatatutor
Licenses: Expat
Build system: r
Synopsis: Send Your R Code to 'Tidy Data Tutor'
Description:

Visualize your Tidyverse data analysis pipelines via the Tidy Data Tutor'(<https://tidydatatutor.com/>) web application.

r-tulip 1.0.2
Propagated dependencies: r-tensr@1.0.2 r-matrix@1.7-4 r-mass@7.3-65 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=TULIP
Licenses: GPL 2
Build system: r
Synopsis: Toolbox for Linear Discriminant Analysis with Penalties
Description:

Integrates several popular high-dimensional methods based on Linear Discriminant Analysis (LDA) and provides a comprehensive and user-friendly toolbox for linear, semi-parametric and tensor-variate classification as mentioned in Yuqing Pan, Qing Mai and Xin Zhang (2019) <arXiv:1904.03469>. Functions are included for covariate adjustment, model fitting, cross validation and prediction.

r-tlars 1.0.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/jasinmachkour/tlars
Licenses: GPL 3+
Build system: r
Synopsis: The T-LARS Algorithm: Early-Terminated Forward Variable Selection
Description:

Computes the solution path of the Terminating-LARS (T-LARS) algorithm. The T-LARS algorithm is a major building block of the T-Rex selector (see R package TRexSelector'). The package is based on the papers Machkour, Muma, and Palomar (2022) <arXiv:2110.06048>, Efron, Hastie, Johnstone, and Tibshirani (2004) <doi:10.1214/009053604000000067>, and Tibshirani (1996) <doi:10.1111/j.2517-6161.1996.tb02080.x>.

r-tsutils 0.9.4
Propagated dependencies: r-rcolorbrewer@1.1-3 r-plotrix@3.8-13 r-mapa@2.0.7 r-forecast@8.24.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/trnnick/tsutils/
Licenses: GPL 3
Build system: r
Synopsis: Time Series Exploration, Modelling and Forecasting
Description:

Includes: (i) tests and visualisations that can help the modeller explore time series components and perform decomposition; (ii) modelling shortcuts, such as functions to construct lagmatrices and seasonal dummy variables of various forms; (iii) an implementation of the Theta method; (iv) tools to facilitate the design of the forecasting process, such as ABC-XYZ analyses; and (v) "quality of life" functions, such as treating time series for trailing and leading values.

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-tidydfidx 0.0-3
Propagated dependencies: r-vctrs@0.6.5 r-rdpack@2.6.4 r-pillar@1.11.1 r-dplyr@1.1.4 r-dfidx@0.2-0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tidydfidx
Licenses: GPL 2+
Build system: r
Synopsis: Indexed 'tibble' and Methods for 'dplyr'
Description:

This package provides extended data frames, with a special data frame column which contains two indexes, with potentially a nesting structure, and support for tibbles and methods for dplyr'.

r-tboot 0.2.1
Propagated dependencies: r-quadprog@1.5-8 r-kernlab@0.9-33
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/njm18/tboot
Licenses: GPL 3
Build system: r
Synopsis: Tilted Bootstrap
Description:

This package creates simulated clinical trial data with realistic correlation structures and assumed efficacy levels by using a tilted bootstrap resampling approach. Samples are drawn from observed data with some samples appearing more frequently than others. May also be used for simulating from a joint Bayesian distribution along with clinical trials based on the Bayesian distribution.

r-tvmvp 1.0.5
Propagated dependencies: r-tidyr@1.3.1 r-r6@2.6.1 r-prettyunits@1.2.0 r-ggplot2@4.0.1 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://github.com/erilill/TV-MVP
Licenses: Expat
Build system: r
Synopsis: Time-Varying Minimum Variance Portfolio
Description:

This package provides the estimation of a time-dependent covariance matrix of returns with the intended use for portfolio optimization. The package offers methods for determining the optimal number of factors to be used in the covariance estimation, a hypothesis test of time-varying covariance, and user-friendly functions for portfolio optimization and rolling window evaluation. The local PCA method, method for determining the number of factors, and associated hypothesis test are based on Su and Wang (2017) <doi:10.1016/j.jeconom.2016.12.004>. The approach to time-varying portfolio optimization follows Fan et al. (2024) <doi:10.1016/j.jeconom.2022.08.007>. The regularisation applied to the residual covariance matrix adopts the technique introduced by Chen et al. (2019) <doi:10.1016/j.jeconom.2019.04.025>.

r-tlsr 0.1.2
Propagated dependencies: r-spatstat-geom@3.6-1 r-spatstat-explore@3.6-0 r-rann@2.6.2 r-fastica@1.2-7 r-dbscan@1.2.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tlsR
Licenses: Expat
Build system: r
Synopsis: Detection and Spatial Analysis of Tertiary Lymphoid Structures
Description:

Fast, reproducible detection and quantitative analysis of tertiary lymphoid structures (TLS) in multiplexed tissue imaging. Implements Independent Component Analysis Trace (ICAT) index, local Ripley's K scanning, automated K Nearest Neighbor (KNN)-based TLS detection, and T-cell clusters identification as described in Amiryousefi et al. (2025) <doi:10.1101/2025.09.21.677465>.

r-tsvio 1.0.6
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/MD-Anderson-Bioinformatics/tsvio
Licenses: GPL 3+
Build system: r
Synopsis: Simple Utilities for Tab-Separated-Value (TSV) Files
Description:

Utilities for rapidly loading specified rows and/or columns of data from large tab-separated value (tsv) files (large: e.g. 1 GB file of 10000 x 10000 matrix). tsvio is an R wrapper to C code that creates an index file for the rows of the tsv file, and uses that index file to collect rows and/or columns from the tsv file without reading the whole file into memory.

r-testdesign 1.7.0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-lpsolve@5.6.23 r-logitnorm@0.8.39 r-foreach@1.5.2 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://choi-phd.github.io/TestDesign/
Licenses: GPL 2+
Build system: r
Synopsis: Optimal Test Design Approach to Fixed and Adaptive Test Construction
Description:

Uses the optimal test design approach by Birnbaum (1968, ISBN:9781593119348) and van der Linden (2018) <doi:10.1201/9781315117430> to construct fixed, adaptive, and parallel tests. Supports the following mixed-integer programming (MIP) solver packages: Rsymphony', highs', gurobi', lpSolve', and Rglpk'. The gurobi package is not available from CRAN; see <https://www.gurobi.com/downloads/>.

r-troublemaker 0.0.1
Propagated dependencies: r-terra@1.8-86 r-purrr@1.2.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/Sustainscapes/TroublemakeR
Licenses: GPL 3+
Build system: r
Synopsis: Generates Spatial Problems in R for 'AMPL'
Description:

This package provides methods for generating .dat files for use with the AMPL software using spatial data, particularly rasters. It includes support for various spatial data formats and different problem types. By automating the process of generating AMPL datasets, this package can help streamline optimization workflows and make it easier to solve complex optimization problems. The methods implemented in this package are described in detail in a publication by Fourer et al. (<doi:10.1287/mnsc.36.5.519>).

r-treesearch 1.7.0
Propagated dependencies: r-treetools@2.1.0 r-treedist@2.12.0 r-stringi@1.8.7 r-shinyjs@2.1.0 r-shiny@1.11.1 r-rogue@2.1.7 r-rdpack@2.6.4 r-rcpp@1.1.0 r-protoclust@1.6.4 r-promises@1.5.0 r-plottools@0.4.0 r-future@1.68.0 r-fs@1.6.6 r-fastmatch@1.1-6 r-fastmap@1.2.0 r-cluster@2.1.8.1 r-cli@3.6.5 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://ms609.github.io/TreeSearch/
Licenses: GPL 3+
Build system: r
Synopsis: Phylogenetic Analysis with Discrete Character Data
Description:

Reconstruct phylogenetic trees from discrete data. Inapplicable character states are handled using the algorithm of Brazeau, Guillerme and Smith (2019) <doi:10.1093/sysbio/syy083> with the "Morphy" library, under equal or implied step weights. Contains a "shiny" user interface for interactive tree search and exploration of results, including character visualization, rogue taxon detection, tree space mapping, and cluster consensus trees (Smith 2022a, b) <doi:10.1093/sysbio/syab099>, <doi:10.1093/sysbio/syab100>. Profile Parsimony (Faith and Trueman, 2001) <doi:10.1080/10635150118627>, Successive Approximations (Farris, 1969) <doi:10.2307/2412182> and custom optimality criteria are implemented.

r-tergmlite 2.6.1
Propagated dependencies: r-tibble@3.3.0 r-tergm@4.2.2 r-statnet-common@4.12.0 r-rcpp@1.1.0 r-networkdynamic@0.11.5 r-network@1.19.0 r-ergm@4.12.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tergmLite
Licenses: GPL 3
Build system: r
Synopsis: Fast Simulation of Simple Temporal Exponential Random Graph Models
Description:

This package provides functions for the computationally efficient simulation of dynamic networks estimated with the statistical framework of temporal exponential random graph models, implemented in the tergm package.

r-tensorregress 5.1
Propagated dependencies: r-pracma@2.4.6 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=tensorregress
Licenses: GPL 2+
Build system: r
Synopsis: Supervised Tensor Decomposition with Side Information
Description:

Implement the alternating algorithm for supervised tensor decomposition with interactive side information. Details can be found in the publication Hu, Jiaxin, Chanwoo Lee, and Miaoyan Wang. "Generalized Tensor Decomposition with features on multiple modes." Journal of Computational and Graphical Statistics, Vol. 31, No. 1, 204-218, 2022 <doi:10.1080/10618600.2021.1978471>.

r-twotimescales 1.0.0
Propagated dependencies: r-viridis@0.6.5 r-ucminf@1.2.2 r-spam@2.11-1 r-reshape2@1.4.5 r-popepi@0.4.14 r-lmmsolver@1.0.12 r-jops@0.2.0 r-fields@17.1 r-epi@2.61 r-colorspace@2.1-2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/AngelaCar/TwoTimeScales
Licenses: GPL 3
Build system: r
Synopsis: Analysis of Event Data with Two Time Scales
Description:

Analyse time to event data with two time scales by estimating a smooth hazard that varies over two time scales and also, if covariates are available, to estimate a proportional hazards model with such a two-dimensional baseline hazard. Functions are provided to prepare the raw data for estimation, to estimate and to plot the two-dimensional smooth hazard. Extension to a competing risks model are implemented. For details about the method please refer to Carollo et al. (2024) <doi:10.1002/sim.10297>.

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