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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 search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-texttools 0.1.0
Propagated dependencies: r-data-table@1.18.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=textTools
Licenses: GPL 2+
Build system: r
Synopsis: Functions for Text Cleansing and Text Analysis
Description:

This package provides a framework for text cleansing and analysis. Conveniently prepare and process large amounts of text for analysis. Includes various metrics for word counts/frequencies that scale efficiently. Quickly analyze large amounts of text data using a text.table (a data.table created with one word (or unit of text analysis) per row, similar to the tidytext format). Offers flexibility to efficiently work with text data stored in vectors as well as text data formatted as a text.table.

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-tipr 1.0.2
Propagated dependencies: r-tibble@3.3.1 r-sensemakr@0.1.6 r-rlang@1.2.0 r-purrr@1.2.2 r-glue@1.8.1 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://r-causal.github.io/tipr/
Licenses: Expat
Build system: r
Synopsis: Tipping Point Analyses
Description:

The strength of evidence provided by epidemiological and observational studies is inherently limited by the potential for unmeasured confounding. We focus on three key quantities: the observed bound of the confidence interval closest to the null, the relationship between an unmeasured confounder and the outcome, for example a plausible residual effect size for an unmeasured continuous or binary confounder, and the relationship between an unmeasured confounder and the exposure, for example a realistic mean difference or prevalence difference for this hypothetical confounder between exposure groups. Building on the methods put forth by Cornfield et al. (1959), Bross (1966), Schlesselman (1978), Rosenbaum & Rubin (1983), Lin et al. (1998), Lash et al. (2009), Rosenbaum (1986), Cinelli & Hazlett (2020), VanderWeele & Ding (2017), and Ding & VanderWeele (2016), we can use these quantities to assess how an unmeasured confounder may tip our result to insignificance.

r-tgst 1.0
Propagated dependencies: r-knitr@1.51 r-ggplot2@4.0.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TGST
Licenses: GPL 3
Build system: r
Synopsis: Targeted Gold Standard Testing
Description:

This package provides functions for implementing the targeted gold standard (GS) testing. You provide the true disease or treatment failure status and the risk score, tell TGST the availability of GS tests and which method to use, and it returns the optimal tripartite rules. Please refer to Liu et al. (2013) <doi:10.1080/01621459.2013.810149> for more details.

r-treatmentpatterns 3.1.2
Propagated dependencies: r-tidyr@1.3.2 r-stringi@1.8.7 r-r6@2.6.1 r-jsonlite@2.0.0 r-dplyr@1.2.1 r-dbplyr@2.5.2 r-checkmate@2.3.4 r-cdmconnector@2.6.0 r-andromeda@1.2.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/darwin-eu/TreatmentPatterns
Licenses: FSDG-compatible
Build system: r
Synopsis: Analyzes Real-World Treatment Patterns of a Study Population of Interest
Description:

Computes treatment patterns within a given cohort using the Observational Medical Outcomes Partnership (OMOP) common data model (CDM). As described in Markus, Verhamme, Kors, and Rijnbeek (2022) <doi:10.1016/j.cmpb.2022.107081>.

r-tshrc 0.1-6
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TSHRC
Licenses: Expat
Build system: r
Synopsis: Two Stage Hazard Rate Comparison
Description:

Two-stage procedure compares hazard rate functions, which may or may not cross each other.

r-treesim 2.4
Propagated dependencies: r-geiger@2.0.11 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TreeSim
Licenses: GPL 2
Build system: r
Synopsis: Simulating Phylogenetic Trees
Description:

Simulation methods for phylogenetic trees where (i) all tips are sampled at one time point or (ii) tips are sampled sequentially through time. (i) For sampling at one time point, simulations are performed under a constant rate birth-death process, conditioned on having a fixed number of final tips (sim.bd.taxa()), or a fixed age (sim.bd.age()), or a fixed age and number of tips (sim.bd.taxa.age()). When conditioning on the number of final tips, the method allows for shifts in rates and mass extinction events during the birth-death process (sim.rateshift.taxa()). The function sim.bd.age() (and sim.rateshift.taxa() without extinction) allow the speciation rate to change in a density-dependent way. The LTT plots of the simulations can be displayed using LTT.plot(), LTT.plot.gen() and LTT.average.root(). TreeSim further samples trees with n final tips from a set of trees generated by the common sampling algorithm stopping when a fixed number m>>n of tips is first reached (sim.gsa.taxa()). This latter method is appropriate for m-tip trees generated under a big class of models (details in the sim.gsa.taxa() man page). For incomplete phylogeny, the missing speciation events can be added through simulations (corsim()). (ii) sim.rateshifts.taxa() is generalized to sim.bdsky.stt() for serially sampled trees, where the trees are conditioned on either the number of sampled tips or the age. Furthermore, for a multitype-branching process with sequential sampling, trees on a fixed number of tips can be simulated using sim.bdtypes.stt.taxa(). This function further allows to simulate under epidemiological models with an exposed class. The function sim.genespeciestree() simulates coalescent gene trees within birth-death species trees, and sim.genetree() simulates coalescent gene trees.

r-theft 0.8.4
Propagated dependencies: r-tsibble@1.2.0 r-tsfeatures@1.1.1 r-tidyr@1.3.2 r-rlang@1.2.0 r-reticulate@1.46.0 r-rcatch22@0.2.5 r-r-matlab@3.7.0 r-purrr@1.2.2 r-feasts@0.5.0 r-fabletools@0.8.0 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://hendersontrent.github.io/theft/
Licenses: Expat
Build system: r
Synopsis: Tools for Handling Extraction of Features from Time Series
Description:

Consolidates and calculates different sets of time-series features from multiple R and Python packages including Rcatch22 Henderson, T. (2021) <doi:10.5281/zenodo.5546815>, feasts O'Hara-Wild, M., Hyndman, R., and Wang, E. (2021) <https://CRAN.R-project.org/package=feasts>, tsfeatures Hyndman, R., Kang, Y., Montero-Manso, P., Talagala, T., Wang, E., Yang, Y., and O'Hara-Wild, M. (2020) <https://CRAN.R-project.org/package=tsfeatures>, tsfresh Christ, M., Braun, N., Neuffer, J., and Kempa-Liehr A.W. (2018) <doi:10.1016/j.neucom.2018.03.067>, TSFEL Barandas, M., et al. (2020) <doi:10.1016/j.softx.2020.100456>, and Kats Facebook Infrastructure Data Science (2021) <https://facebookresearch.github.io/Kats/>.

r-tvmediation 1.1.1
Propagated dependencies: r-locpol@0.9.0 r-ggplot2@4.0.3 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/dcoffman/tvmediation/wiki
Licenses: GPL 3
Build system: r
Synopsis: Time Varying Mediation Analysis
Description:

This package provides functions for estimating mediation effects that vary over time as described in Cai X, Coffman DL, Piper ME, Li R. Estimation and inference for the mediation effect in a time-varying mediation model. BMC Med Res Methodol. 2022;22(1):1-12.

r-tpc 1.0
Propagated dependencies: r-pcalg@2.7-12 r-graph@1.90.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/bips-hb/tpc
Licenses: GPL 3+
Build system: r
Synopsis: Tiered PC Algorithm
Description:

Constraint-based causal discovery using the PC algorithm while accounting for a partial node ordering, for example a partial temporal ordering when the data were collected in different waves of a cohort study. Andrews RM, Foraita R, Didelez V, Witte J (2021) <arXiv:2108.13395> provide a guide how to use tpc to analyse cohort data.

r-tubern 0.5.0
Propagated dependencies: r-rlang@1.2.0 r-jsonlite@2.0.0 r-httr@1.4.8 r-checkmate@2.3.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/gojiplus/tubern
Licenses: Expat
Build system: r
Synopsis: R Client for the YouTube Analytics and Reporting API
Description:

This package provides access to YouTube Analytics API v2 for retrieving YouTube Analytics data including views, engagement metrics, demographics, and revenue data. Supports OAuth 2.0 authentication and channel group management. See <https://developers.google.com/youtube/analytics/> for API documentation.

r-trader 1.2-6
Propagated dependencies: r-dplr@1.7.9
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/pavel-fibich/TRADER
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Tree Ring Analysis of Disturbance Events in R
Description:

Tree Ring Analysis of Disturbance Events in R (TRADER) package provides functions for disturbance reconstruction from tree-ring data, e.g. boundary line, absolute increase, growth averaging methods.

r-tidyboot 0.1.3
Propagated dependencies: r-tidyr@1.3.2 r-rlang@1.2.0 r-purrr@1.2.2 r-modelr@0.1.11 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/langcog/tidyboot
Licenses: GPL 3
Build system: r
Synopsis: Tidyverse-Compatible Bootstrapping
Description:

Compute arbitrary non-parametric bootstrap statistics on data in tidy data frames.

r-topictestlet 0.1.0
Propagated dependencies: r-topicmodels@0.2-17 r-tm@0.7-18
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TopicTestlet
Licenses: GPL 3+
Build system: r
Synopsis: Topic Testlet Model for Calibrating Testlet Constructed Responses
Description:

This package implements the Topic Testlet Model (TTM) as described by Xiong et al. (2025) <doi:10.1111/jedm.70001>. The package integrates Latent Dirichlet Allocation (LDA) with the Partial Credit Model to account for local item dependence in testlets using latent topics from student textual responses.

r-thisutils 0.4.7
Propagated dependencies: r-rlang@1.2.0 r-rcpp@1.1.1-1.1 r-pak@0.9.5 r-matrix@1.7-5 r-foreach@1.5.2 r-doparallel@1.0.17 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://mengxu98.github.io/thisutils/
Licenses: Expat
Build system: r
Synopsis: Collection of Utility Functions for Data Analysis and Computing
Description:

This package provides utility functions for data analysis and computing. Includes functions for logging, parallel processing, and other computational tasks to streamline workflows.

r-tfunhddc 1.0.2
Propagated dependencies: r-tclust@2.2-0 r-stringr@1.6.0 r-mass@7.3-65 r-fda-usc@2.2.0 r-fda@6.3.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TFunHDDC
Licenses: GPL 3
Build system: r
Synopsis: Clustering of Functional Data via Mixtures of t-Distributions
Description:

Extension of funHDDC Schmutz et al. (2018) <doi:10.1007/s00180-020-00958-4> for cases including outliers by fitting t-distributions for robust groups. TFunHDDC can cluster univariate or multivariate data produced by the fda package for data using a b-splines or Fourier basis.

r-tabulog 0.1.1
Propagated dependencies: r-yaml@2.3.12
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tabulog
Licenses: Expat
Build system: r
Synopsis: Parsing Semi-Structured Log Files into Tabular Format
Description:

Convert semi-structured log files (such as Apache access.log files) into a tabular format (data.frame) using a standard template system.

r-tosi 0.3.0
Propagated dependencies: r-scalreg@1.0.1 r-mass@7.3-65 r-hdi@0.1-10 r-glmnet@5.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/feiyoung/TOSI
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Two-Directional Simultaneous Inference for High-Dimensional Models
Description:

This package provides a general framework of two directional simultaneous inference is provided for high-dimensional as well as the fixed dimensional models with manifest variable or latent variable structure, such as high-dimensional mean models, high- dimensional sparse regression models, and high-dimensional latent factors models. It is making the simultaneous inference on a set of parameters from two directions, one is testing whether the estimated zero parameters indeed are zero and the other is testing whether there exists zero in the parameter set of non-zero. More details can be referred to Wei Liu, et al. (2022) <doi:10.48550/arXiv.2012.11100>.

r-thorn 0.2.0
Propagated dependencies: r-htmlwidgets@1.6.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/stla/thorn
Licenses: GPL 3
Build system: r
Synopsis: 'HTMLwidgets' Displaying Some 'WebGL' Shaders
Description:

This package creates some WebGL shaders. They can be used as the background of a Shiny app. They also can be visualized in the RStudio viewer pane or included in Rmd documents, but this is pretty useless, besides contemplating them.

r-tpes 1.0.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TPES
Licenses: Expat
Build system: r
Synopsis: Tumor Purity Estimation using SNVs
Description:

This package provides a bioinformatics tool for the estimation of the tumor purity from sequencing data. It uses the set of putative clonal somatic single nucleotide variants within copy number neutral segments to call tumor cellularity.

r-tabusearch 1.2.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/domijan/tabuSearch
Licenses: GPL 2+
Build system: r
Synopsis: Tabu Search Algorithm for Binary Configurations
Description:

Tabu search algorithm for binary configurations. A basic version of the algorithm as described by Fouskakis and Draper (2007) <doi:10.1111/j.1751-5823.2002.tb00174.x>.

r-topdowntimeratio 0.1.0
Propagated dependencies: r-magrittr@2.0.5 r-lubridate@1.9.5 r-geodist@0.1.1 r-data-table@1.18.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=topdowntimeratio
Licenses: GPL 3+
Build system: r
Synopsis: Top-Down Time Ratio Segmentation for Coordinate Trajectories
Description:

Data collected on movement behavior is often in the form of time- stamped latitude/longitude coordinates sampled from the underlying movement behavior. These data can be compressed into a set of segments via the Top- Down Time Ratio Segmentation method described in Meratnia and de By (2004) <doi:10.1007/978-3-540-24741-8_44> which, with some loss of information, can both reduce the size of the data as well as provide corrective smoothing mechanisms to help reduce the impact of measurement error. This is an improvement on the well-known Douglas-Peucker algorithm for segmentation that operates not on the basis of perpendicular distances. Top-Down Time Ratio segmentation allows for disparate sampling time intervals by calculating the distance between locations and segments with respect to time. Provided a trajectory with timestamps, tdtr() returns a set of straight- line segments that can represent the full trajectory. McCool, Lugtig, and Schouten (2022) <doi:10.1007/s11116-022-10328-2> describe this method as implemented here in more detail.

r-twocutoff 0.1.0
Propagated dependencies: r-xgboost@3.2.1.1 r-proc@1.19.0.1 r-patchwork@1.3.2 r-mixtools@2.0.0.1 r-gridextra@2.3 r-ggplot2@4.0.3 r-dplyr@1.2.1 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TwoCutoff
Licenses: Expat
Build system: r
Synopsis: Deriving Clinically Interpretable Cutoffs for Disease Biomarkers
Description:

This package provides a reproducible pipeline for deriving two clinically meaningful cutoffs for disease biomarkers using a unified two-stage framework. The package integrates finite mixture modeling with risk prediction using biomarker plus clinical features, followed by decision curve analysis to evaluate clinical utility. Outputs include biomarker density plots, risk calibration curves, decision curves, and summary tables of diagnostic performance. Designed for researchers in bio-statistics, neurology, and data science, this package emphasizes reproducibility, transparency, and clear clinical relevance.

r-thesface 0.1.0
Propagated dependencies: r-tidyr@1.3.2 r-tibble@3.3.1 r-purrr@1.2.2 r-nnet@7.3-20 r-gridextra@2.3 r-ggplot2@4.0.3 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TheSFACE
Licenses: GPL 2+
Build system: r
Synopsis: The Subtype Free Average Causal Effect
Description:

Estimation of the SF-ACE, a Causal Inference estimand proposed in the paper "The Subtype-Free Average Causal Effect For Heterogeneous Disease Etiology" (soon on arXiv).

Total packages: 72693