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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-tidygam 1.0.0
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-mgcv@1.9-4 r-magrittr@2.0.4 r-insight@1.4.3 r-glue@1.8.0 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/stefanocoretta/tidygam
Licenses: Expat
Build system: r
Synopsis: Tidy Prediction and Plotting of Generalised Additive Models
Description:

This package provides functions that compute predictions from Generalised Additive Models (GAMs) fitted with mgcv and return them as a tibble. These can be plotted with a generic plot()-method that uses ggplot2 or plotted as any other data frame. The main function is predict_gam().

r-typer 0.2.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://Fgazzelloni.github.io/typeR/
Licenses: Expat
Build system: r
Synopsis: Simulate Typing Script
Description:

Simulates typing of R script files for presentations and demonstrations. Provides character-by-character animation with optional live code execution. Supports R scripts (.R), R Markdown (.Rmd), and Quarto (.qmd) documents.

r-treesitter 0.3.1
Propagated dependencies: r-vctrs@0.6.5 r-rlang@1.1.6 r-r6@2.6.1 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/DavisVaughan/r-tree-sitter
Licenses: Expat
Build system: r
Synopsis: Bindings to 'Tree-Sitter'
Description:

This package provides bindings to Tree-sitter', an incremental parsing system for programming tools. Tree-sitter builds concrete syntax trees for source files of any language, and can efficiently update those syntax trees as the source file is edited. It also includes a robust error recovery system that provides useful parse results even in the presence of syntax errors.

r-torchvision 0.8.0
Propagated dependencies: r-zeallot@0.2.0 r-withr@3.0.2 r-torch@0.16.3 r-tiff@0.1-12 r-rlang@1.1.6 r-rappdirs@0.3.3 r-png@0.1-8 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-jpeg@0.1-11 r-glue@1.8.0 r-fs@1.6.6 r-cli@3.6.5 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://torchvision.mlverse.org
Licenses: Expat
Build system: r
Synopsis: Models, Datasets and Transformations for Images
Description:

This package provides access to datasets, models and preprocessing facilities for deep learning with images. Integrates seamlessly with the torch package and it's API borrows heavily from PyTorch vision package.

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-translate-logit 1.0.2
Propagated dependencies: r-nnet@7.3-20 r-nleqslv@3.3.5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=translate.logit
Licenses: GPL 2+
Build system: r
Synopsis: Translation of Logit Regression Coefficients into Percentages
Description:

Translation of logit models coefficients into percentages, following Deauvieau (2010) <doi:10.1177/0759106309352586>.

r-transpror 1.0.7
Propagated dependencies: r-tidyr@1.3.1 r-tidygraph@1.3.1 r-tibble@3.3.0 r-sva@3.58.0 r-stringr@1.6.0 r-spiralize@1.1.0 r-rlang@1.1.6 r-magrittr@2.0.4 r-limma@3.66.0 r-hmisc@5.2-4 r-ggvenndiagram@1.5.4 r-ggtree@4.0.1 r-ggraph@2.2.2 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-ggnewscale@0.5.2 r-ggdensity@1.0.0 r-geomtextpath@0.2.0 r-edger@4.8.0 r-dplyr@1.1.4 r-deseq2@1.50.2 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://github.com/SSSYDYSSS/TransProRBook
Licenses: Expat
Build system: r
Synopsis: Analysis and Visualization of Multi-Omics Data
Description:

This package provides a tool for comprehensive transcriptomic data analysis, with a focus on transcript-level data preprocessing, expression profiling, differential expression analysis, and functional enrichment. It enables researchers to identify key biological processes, disease biomarkers, and gene regulatory mechanisms. TransProR is aimed at researchers and bioinformaticians working with RNA-Seq data, providing an intuitive framework for in-depth analysis and visualization of transcriptomic datasets. The package includes comprehensive documentation and usage examples to guide users through the entire analysis pipeline. The differential expression analysis methods incorporated in the package include limma (Ritchie et al., 2015, <doi:10.1093/nar/gkv007>; Smyth, 2005, <doi:10.1007/0-387-29362-0_23>), edgeR (Robinson et al., 2010, <doi:10.1093/bioinformatics/btp616>), DESeq2 (Love et al., 2014, <doi:10.1186/s13059-014-0550-8>), and Wilcoxon tests (Li et al., 2022, <doi:10.1186/s13059-022-02648-4>), providing flexible and robust approaches to RNA-Seq data analysis. For more information, refer to the package vignettes and related publications.

r-telescope 0.2-1
Propagated dependencies: r-mvtnorm@1.3-3 r-mcmcpack@1.7-1 r-extradistr@1.10.0 r-dirichletreg@0.7-2 r-bayesm@3.1-7 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=telescope
Licenses: GPL 2
Build system: r
Synopsis: Bayesian Mixtures with an Unknown Number of Components
Description:

Fits Bayesian finite mixtures with an unknown number of components using the telescoping sampler and different component distributions. For more details see Frühwirth-Schnatter et al. (2021) <doi:10.1214/21-BA1294>.

r-tada 2024.1.0
Propagated dependencies: r-purrr@1.2.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/tadascience/tada
Licenses: Expat
Build system: r
Synopsis: Supporting Tools for Tada Science
Description:

Suite of tools to support the practice of tada science. It includes an engaging package roulette that is designed to facilitate learning about new packages.

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-tor 1.1.3
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-readr@2.1.6 r-fs@1.6.6
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/maurolepore/tor
Licenses: GPL 3
Build system: r
Synopsis: Import Multiple Files From a Single Directory at Once
Description:

The goal of tor (to-R) is to help you to import multiple files from a single directory at once, and to do so as quickly, flexibly, and simply as possible.

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-timedeppar 1.0.3
Propagated dependencies: r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://gitlab.com/p.reichert/timedeppar
Licenses: GPL 3
Build system: r
Synopsis: Infer Constant and Stochastic, Time-Dependent Model Parameters
Description:

Infer constant and stochastic, time-dependent parameters to consider intrinsic stochasticity of a dynamic model and/or to analyze model structure modifications that could reduce model deficits. The concept is based on inferring time-dependent parameters as stochastic processes in the form of Ornstein-Uhlenbeck processes jointly with inferring constant model parameters and parameters of the Ornstein-Uhlenbeck processes. The package also contains functions to sample from and calculate densities of Ornstein-Uhlenbeck processes. References: Tomassini, L., Reichert, P., Kuensch, H.-R. Buser, C., Knutti, R. and Borsuk, M.E. (2009), A smoothing algorithm for estimating stochastic, continuous-time model parameters and its application to a simple climate model, Journal of the Royal Statistical Society: Series C (Applied Statistics) 58, 679-704, <doi:10.1111/j.1467-9876.2009.00678.x> Reichert, P., and Mieleitner, J. (2009), Analyzing input and structural uncertainty of nonlinear dynamic models with stochastic, time-dependent parameters. Water Resources Research, 45, W10402, <doi:10.1029/2009WR007814> Reichert, P., Ammann, L. and Fenicia, F. (2021), Potential and challenges of investigating intrinsic uncertainty of hydrological models with time-dependent, stochastic parameters. Water Resources Research 57(8), e2020WR028311, <doi:10.1029/2020WR028311> Reichert, P. (2022), timedeppar: An R package for inferring stochastic, time-dependent model parameters, in preparation.

r-tvcure 0.6.6
Propagated dependencies: r-rfast@2.1.5.2 r-mgcv@1.9-4 r-matrix@1.7-4 r-mass@7.3-65 r-cubicbsplines@1.0.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: <https://github.com/plambertULiege/tvcure>
Licenses: GPL 3
Build system: r
Synopsis: Additive Cure Survival Model with Time-Varying Covariates
Description:

Fit of a double additive cure survival model with time-varying covariates. The additive terms in the long- and short-term survival submodels, modelling the cure probability and the event timing for susceptible units, are estimated using Laplace P-splines. For more details, see Lambert and Kreyenfeld (2025) <doi:10.1093/jrsssa/qnaf035>.

r-timedepfrail 0.1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://alessandragni.github.io/TimeDepFrail/
Licenses: GPL 3+
Build system: r
Synopsis: Time Dependent Shared Frailty Cox Model
Description:

Fits time-dependent shared frailty Cox model (specifically the adapted Paik et al.'s Model) based on the paper "Centre-Effect on Survival After Bone Marrow Transplantation: Application of Time-Dependent Frailty Models", by C.M. Wintrebert, H. Putter, A.H. Zwinderman and J.C. van Houwelingen (2004) <doi:10.1002/bimj.200310051>.

r-tufte 0.14.0
Propagated dependencies: r-xfun@0.54 r-rmarkdown@2.30 r-knitr@1.50 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/rstudio/tufte
Licenses: GPL 3
Build system: r
Synopsis: Tufte's Styles for R Markdown Documents
Description:

This package provides R Markdown output formats to use Tufte styles for PDF and HTML output.

r-truncsp 1.2.4
Propagated dependencies: r-truncreg@0.2-5 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=truncSP
Licenses: GPL 2+
Build system: r
Synopsis: Semi-Parametric Estimators of Truncated Regression Models
Description:

Estimators for semi-parametric linear regression models with truncated response variables (fixed truncation point). The estimators implemented are the Symmetrically Trimmed Least Squares (STLS) estimator introduced by Powell (1986) <doi:10.2307/1914308>, the Quadratic Mode (QME) estimator introduced by Lee (1993) <doi:10.1016/0304-4076(93)90056-B>, and the Left Truncated (LT) estimator introduced by Karlsson (2006) <doi:10.1007/s00184-005-0023-x>.

r-triplediff 0.2.0
Propagated dependencies: r-rcpp@1.1.0 r-matrix@1.7-4 r-fastglm@0.0.3 r-data-table@1.17.8 r-bmisc@1.4.8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: http://marcelortiz.com/triplediff/
Licenses: Expat
Build system: r
Synopsis: Triple-Difference Estimators
Description:

This package implements triple-difference (DDD) estimators for both average treatment effects and event-study parameters. Methods include regression adjustment, inverse-probability weighting, and doubly-robust estimators, all of which rely on a conditional DDD parallel-trends assumption and allow covariate adjustment across multiple pre- and post-treatment periods. The methodology is detailed in Ortiz-Villavicencio and Sant'Anna (2025) <doi:10.48550/arXiv.2505.09942>.

r-treeordertests 0.1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TreeOrderTests
Licenses: GPL 3
Build system: r
Synopsis: Tests for Tree Ordered Alternatives in One-Way ANOVA
Description:

This package implements a likelihood ratio test and two pairwise standardized mean difference tests for testing equality of means against tree ordered alternatives in one-way ANOVA. The null hypothesis assumes all group means are equal, while the alternative assumes the control mean is less than or equal to each treatment mean with at least one strict inequality. Inputs are a list of numeric vectors (groups) and a significance level; outputs include the test statistic, critical value, and decision. Methods described in "Testing Against Tree Ordered Alternatives in One-way ANOVA" <doi:10.48550/arXiv.2507.17229>.

r-twostagedesigntmle 1.0.1.2
Propagated dependencies: r-tmle@2.1.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=twoStageDesignTMLE
Licenses: GPL 3
Build system: r
Synopsis: Targeted Maximum Likelihood Estimation for Two-Stage Study Design
Description:

An inverse probability of censoring weighted (IPCW) targeted maximum likelihood estimator (TMLE) for evaluating a marginal point treatment effect from data where some variables were collected on only a subset of participants using a two-stage design (or marginal mean outcome for a single arm study). A TMLE for conditional parameters defined by a marginal structural model (MSM) is also available.

r-tigrebrowserwriter 0.1.5
Propagated dependencies: r-rsqlite@2.4.4 r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/PROBIC/tigreBrowserWriter
Licenses: AGPL 3
Build system: r
Synopsis: 'tigreBrowser' Database Writer
Description:

Write modelling results into a database for tigreBrowser', a web-based tool for browsing figures and summary data of independent model fits, such as Gaussian process models fitted for each gene or other genomic element. The browser is available at <https://github.com/PROBIC/tigreBrowser>.

r-teachingdemos 2.13
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TeachingDemos
Licenses: Artistic License 2.0
Build system: r
Synopsis: Demonstrations for Teaching and Learning
Description:

Demonstration functions that can be used in a classroom to demonstrate statistical concepts, or on your own to better understand the concepts or the programming.

r-tttplot 1.1.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tttplot
Licenses: GPL 2+
Build system: r
Synopsis: Time to Target Plot
Description:

Implementation of Time to Target plot based on the work of Ribeiro and Rosseti (2015) <DOI:10.1007/s11590-014-0760-8>, that describe a numerical method that gives the probability of an algorithm A finds a solution at least as good as a given target value in smaller computation time than algorithm B.

r-tidymultiqc 1.0.3
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-jsonlite@2.0.0 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://multimeric.github.io/TidyMultiqc/
Licenses: GPL 3+
Build system: r
Synopsis: Converts 'MultiQC' Reports into Tidy Data Frames
Description:

This package provides the means to convert multiqc_data.json files, produced by the wonderful MultiQC tool, into tidy data frames for downstream analysis in R. This analysis might involve cohort analysis, quality control visualisation, change-point detection, statistical process control, clustering, or any other type of quality analysis.

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