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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-tm-plugin-factiva 1.8.1
Propagated dependencies: r-xml2@1.5.2 r-tm@0.7-18 r-rvest@1.0.5 r-nlp@0.3-2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/nalimilan/R.TeMiS
Licenses: GPL 2+
Build system: r
Synopsis: Import Articles from 'Factiva' Using the 'tm' Text Mining Framework
Description:

This package provides a tm Source to create corpora from articles exported from the Dow Jones Factiva content provider as XML or HTML files. It is able to read both text content and meta-data information (including source, date, title, author, subject, geographical coverage, company, industry, and various provider-specific fields).

r-thor 1.2.0
Propagated dependencies: r-storr@1.2.6 r-r6@2.6.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/richfitz/thor
Licenses: Expat
Build system: r
Synopsis: Interface to 'LMDB'
Description:

Key-value store, implemented as a wrapper around LMDB'; the "lightning memory-mapped database" <https://www.symas.com/mdb>. LMDB is a transactional key value store that uses a memory map for efficient access. This package wraps the entire LMDB interface (except duplicated keys), and provides objects for transactions and cursors.

r-tsibble 1.2.0
Propagated dependencies: r-vctrs@0.7.3 r-tidyselect@1.2.1 r-tibble@3.3.1 r-rlang@1.2.0 r-lubridate@1.9.5 r-lifecycle@1.0.5 r-generics@0.1.4 r-dplyr@1.2.1 r-anytime@0.3.13
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://tsibble.tidyverts.org
Licenses: GPL 3
Build system: r
Synopsis: Tidy Temporal Data Frames and Tools
Description:

This package provides a tbl_ts class (the tsibble') for temporal data in an data- and model-oriented format. The tsibble provides tools to easily manipulate and analyse temporal data, such as filling in time gaps and aggregating over calendar periods.

r-tciu 1.2.8
Propagated dependencies: r-zoo@1.8-15 r-tidyr@1.3.2 r-spatstat-geom@3.7-3 r-spatstat-explore@3.8-0 r-scales@1.4.0 r-rrcov@1.7-7 r-reshape2@1.4.5 r-rcolorbrewer@1.1-3 r-pracma@2.4.6 r-plotly@4.12.0 r-multiwayregression@1.2 r-interp@1.1-6 r-icsnp@1.1-3 r-gridextra@2.3 r-ggpubr@0.6.3 r-ggplot2@4.0.3 r-geometry@0.5.2 r-forecast@9.0.2 r-foreach@1.5.2 r-fmri@1.9.12.1 r-fancycut@0.1.3 r-extradistr@1.10.0.4 r-dt@0.34.0 r-dplyr@1.2.1 r-doparallel@1.0.17 r-cubature@2.1.4-1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/SOCR/TCIU
Licenses: GPL 3
Build system: r
Synopsis: Spacekime Analytics, Time Complexity and Inferential Uncertainty
Description:

Provide the core functionality to transform longitudinal data to complex-time (kime) data using analytic and numerical techniques, visualize the original time-series and reconstructed kime-surfaces, perform model based (e.g., tensor-linear regression) and model-free classification and clustering methods in the book Dinov, ID and Velev, MV. (2021) "Data Science: Time Complexity, Inferential Uncertainty, and Spacekime Analytics", De Gruyter STEM Series, ISBN 978-3-11-069780-3. <https://www.degruyter.com/view/title/576646>. The package includes 18 core functions which can be separated into three groups. 1) draw longitudinal data, such as Functional magnetic resonance imaging(fMRI) time-series, and forecast or transform the time-series data. 2) simulate real-valued time-series data, e.g., fMRI time-courses, detect the activated areas, report the corresponding p-values, and visualize the p-values in the 3D brain space. 3) Laplace transform and kimesurface reconstructions of the fMRI data.

r-tidyrules 0.2.7
Propagated dependencies: r-tidytable@0.11.2 r-tibble@3.3.1 r-stringr@1.6.0 r-rlang@1.2.0 r-purrr@1.2.2 r-proxy@0.4-29 r-pheatmap@1.0.13 r-partykit@1.2-27 r-metricsweighted@1.0.4 r-magrittr@2.0.5 r-glue@1.8.1 r-generics@0.1.4 r-desctools@0.99.60 r-data-table@1.18.4 r-cli@3.6.6 r-checkmate@2.3.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/talegari/tidyrules
Licenses: GPL 3
Build system: r
Synopsis: Utilities to Retrieve Rulelists from Model Fits, Filter, Prune, Reorder and Predict on Unseen Data
Description:

This package provides a framework to work with decision rules. Rules can be extracted from supported models, augmented with (custom) metrics using validation data, manipulated using standard dataframe operations, reordered and pruned based on a metric, predict on unseen (test) data. Utilities include; Creating a rulelist manually, Exporting a rulelist as a SQL case statement and so on. The package offers two classes; rulelist and ruleset based on dataframe.

r-tldr 0.4.0
Propagated dependencies: r-tableone@0.13.2 r-reshape2@1.4.5 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=tldr
Licenses: GPL 3
Build system: r
Synopsis: T Loux Doing R: Functions to Simplify Data Analysis and Reporting
Description:

Gives a number of functions to aid common data analysis processes and reporting statistical results in an RMarkdown file. Data analysis functions combine multiple base R functions used to describe simple bivariate relationships into a single, easy to use function. Reporting functions will return character strings to report p-values, confidence intervals, and hypothesis test and regression results. Strings will be LaTeX-formatted as necessary and will knit pretty in an RMarkdown document. The package also provides wrappers function in the tableone package to make the results knit-able.

r-thgenetics 0.4-2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=thgenetics
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Genetic Rare Variants Tests
Description:

This package provides a step-up test for genetic rare variants in a gene or in a pathway. The method determines an optimal grouping of rare variants analytically. The method has been described in Hoffmann TJ, Marini NJ, and Witte JS (2010) <doi:10.1371/journal.pone.0013584>.

r-tabledown 1.0.0
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.2 r-tibble@3.3.1 r-psych@2.6.5 r-plotly@4.12.0 r-mote@1.2.2 r-mirt@1.46.1 r-magrittr@2.0.5 r-lavaan@0.6-21 r-kutils@1.73 r-ggplot2@4.0.3 r-dplyr@1.2.1 r-data-table@1.18.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://masiraji.github.io/tabledown/
Licenses: Expat
Build system: r
Synopsis: Create Publication Quality Tables and Plots
Description:

Create publication quality plots and tables for Item Response Theory and Classical Test theory based item analysis, exploratory and confirmatory factor analysis.

r-thisplot 0.4.0
Propagated dependencies: r-thisutils@0.4.7 r-reshape2@1.4.5 r-proxyc@0.5.2 r-patchwork@1.3.2 r-igraph@2.3.1 r-gtable@0.3.6 r-ggrepel@0.9.8 r-ggplot2@4.0.3 r-ggnewscale@0.5.2 r-ggforce@0.5.0 r-geomtextpath@0.2.0 r-dendextend@1.19.1 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://mengxu98.github.io/thisplot/
Licenses: Expat
Build system: r
Synopsis: Utility Functions for Plotting
Description:

This package provides utility functions for plotting. Includes functions for color manipulation, plot customization, panel size control, data optimization for plots, and layout adjustments.

r-tigers 0.1-3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/emmanuelparadis/tigers
Licenses: GPL 3
Build system: r
Synopsis: Integration of Geography, Environment, and Remote Sensing
Description:

Handling and manipulation polygons, coordinates, and other geographical objects. The tools include: polygon areas, barycentric and trilinear coordinates (Hormann and Floater, 2006, <doi:10.1145/1183287.1183295>), convex hull for polygons (Graham and Yao, 1983, <doi:10.1016/0196-6774(83)90013-5>), polygon triangulation (Toussaint, 1991, <doi:10.1007/BF01905693>), great circle and geodesic distances, Hausdorff distance, and reduced major axis.

r-tidysynth 0.2.1
Propagated dependencies: r-tidyr@1.3.2 r-tibble@3.3.1 r-rlang@1.2.0 r-rgenoud@5.9-0.11 r-optimx@2025-4.9 r-magrittr@2.0.5 r-kernlab@0.9-33 r-ggplot2@4.0.3 r-forcats@1.0.1 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=tidysynth
Licenses: Expat
Build system: r
Synopsis: Tidy Implementation of the Synthetic Control Method
Description:

This package provides a synthetic control offers a way of evaluating the effect of an intervention in comparative case studies. The package makes a number of improvements when implementing the method in R. These improvements allow users to inspect, visualize, and tune the synthetic control more easily. A key benefit of a tidy implementation is that the entire preparation process for building the synthetic control can be accomplished in a single pipe.

r-tempted 0.1.1
Propagated dependencies: r-np@0.70-2 r-ggplot2@4.0.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/pixushi/tempted
Licenses: GPL 3
Build system: r
Synopsis: Temporal Tensor Decomposition, a Dimensionality Reduction Tool for Longitudinal Multivariate Data
Description:

TEMPoral TEnsor Decomposition (TEMPTED), is a dimension reduction method for multivariate longitudinal data with varying temporal sampling. It formats the data into a temporal tensor and decomposes it into a summation of low-dimensional components, each consisting of a subject loading vector, a feature loading vector, and a continuous temporal loading function. These loadings provide a low-dimensional representation of subjects or samples and can be used to identify features associated with clusters of subjects or samples. TEMPTED provides the flexibility of allowing subjects to have different temporal sampling, so time points do not need to be binned, and missing time points do not need to be imputed.

r-tcl 1.0.1
Propagated dependencies: r-rlang@1.2.0 r-psychotools@0.7-6 r-numderiv@2016.8-1.1 r-matrix@1.7-5 r-mass@7.3-65 r-ltm@1.2-0 r-lattice@0.22-9 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-tidysem 0.2.10
Propagated dependencies: r-rann@2.6.2 r-psych@2.6.5 r-progressr@0.19.0 r-progress@1.2.3 r-nonnest2@0.5-9 r-mplusautomation@1.3 r-matrix@1.7-5 r-lavaan@0.6-21 r-igraph@2.3.1 r-gtable@0.3.6 r-ggplot2@4.0.3 r-future-apply@1.20.2 r-dbscan@1.2.4 r-car@3.1-5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cjvanlissa.github.io/tidySEM/
Licenses: GPL 3+
Build system: r
Synopsis: Tidy Structural Equation Modeling
Description:

This package provides a tidy workflow for generating, estimating, reporting, and plotting structural equation models using lavaan', OpenMx', or Mplus'. Throughout this workflow, elements of syntax, results, and graphs are represented as tidy data, making them easy to customize. Includes functionality to estimate latent class analyses, and to plot dagitty and igraph objects.

r-tectonicr 0.4.8
Propagated dependencies: r-zoo@1.8-15 r-viridis@0.6.5 r-tidyr@1.3.2 r-terra@1.9-27 r-spatstat-utils@3.2-3 r-spatstat-univar@3.2-0 r-spatstat-geom@3.7-3 r-spatstat-explore@3.8-0 r-smoothr@1.3.0 r-sf@1.1-1 r-rlang@1.2.0 r-rcolorbrewer@1.1-3 r-lifecycle@1.0.5 r-ggplot2@4.0.3 r-dplyr@1.2.1 r-circular@0.5-2 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://tobiste.github.io/tectonicr/
Licenses: GPL 3+
Build system: r
Synopsis: Analyzing the Orientation of Maximum Horizontal Stress
Description:

Models the direction of the maximum horizontal stress using relative plate motion parameters. Statistical algorithms to evaluate the modeling results compared with the observed data. Provides plots to visualize the results. Methods described in Stephan et al. (2023) <doi:10.1038/s41598-023-42433-2> and Wdowinski (1998) <doi:10.1016/S0079-1946(98)00091-3>.

r-totalcensus 0.6.6
Propagated dependencies: r-stringr@1.6.0 r-purrr@1.2.2 r-magrittr@2.0.5 r-data-table@1.18.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/GL-Li/totalcensus
Licenses: Expat
Build system: r
Synopsis: Extract Decennial Census and American Community Survey Data
Description:

Download summary files from Census Bureau <https://www2.census.gov/> and extract data, in particular high resolution data at block, block group, and tract level, from decennial census and American Community Survey 1-year and 5-year estimates.

r-tensormcmc 0.1.0
Propagated dependencies: r-rcpp@1.1.1-1.1 r-glmnet@5.0
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-tidycdisc 0.2.2
Propagated dependencies: r-vroom@1.7.1 r-tippy@0.1.0 r-timevis@2.1.0 r-tidyselect@1.2.1 r-tidyr@1.3.2 r-tibble@3.3.1 r-survival@3.8-6 r-stringr@1.6.0 r-stringdist@0.9.17 r-sjlabelled@1.2.0 r-shinywidgets@0.9.1 r-shinyjs@2.1.1 r-shiny@1.13.0 r-rmarkdown@2.31 r-rlang@1.2.0 r-readxl@1.5.0 r-purrr@1.2.2 r-plotly@4.12.0 r-pkgload@1.5.2 r-ideafilter@0.2.1 r-haven@2.5.5 r-gtsummary@2.5.1 r-gt@1.3.0 r-golem@0.5.1 r-glue@1.8.1 r-ggsurvfit@1.2.0 r-ggplot2@4.0.3 r-ggcorrplot@0.1.4.1 r-ggally@2.4.0 r-fs@2.1.0 r-dt@0.34.0 r-dplyr@1.2.1 r-config@0.3.2 r-cli@3.6.6 r-cicerone@1.0.4 r-broom-helpers@1.22.0 r-arrow@24.0.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/Biogen-Inc/tidyCDISC/
Licenses: AGPL 3+
Build system: r
Synopsis: Quick Table Generation & Exploratory Analyses on ADaM-Ish Datasets
Description:

This package provides users a quick exploratory dive into common visualizations without writing a single line of code given the users data follows the Analysis Data Model (ADaM) standards put forth by the Clinical Data Interchange Standards Consortium (CDISC) <https://www.cdisc.org>. Prominent modules/ features of the application are the Table Generator, Population Explorer, and the Individual Explorer. The Table Generator allows users to drag and drop variables and desired statistics (frequencies, means, ANOVA, t-test, and other summary statistics) into bins that automagically create stunning tables with validated information. The Population Explorer offers various plots to visualize general trends in the population from various vantage points. Plot modules currently include scatter plot, spaghetti plot, box plot, histogram, means plot, and bar plot. Each plot type allows the user to plot uploaded variables against one another, and dissect the population by filtering out certain subjects. Last, the Individual Explorer establishes a cohesive patient narrative, allowing the user to interact with patient metrics (params) by visit or plotting important patient events on a timeline. All modules allow for concise filtering & downloading bulk outputs into html or pdf formats to save for later.

r-trackreconstruction 1.3
Propagated dependencies: r-rcolorbrewer@1.1-3 r-fields@17.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TrackReconstruction
Licenses: GPL 2+
Build system: r
Synopsis: Reconstruct Animal Tracks from Magnetometer, Accelerometer, Depth and Optional Speed Data
Description:

Reconstructs animal tracks from magnetometer, accelerometer, depth and optional speed data. Designed primarily using data from Wildlife Computers Daily Diary tags deployed on northern fur seals.

r-treebugs 1.5.3
Dependencies: jags@4.3.1
Propagated dependencies: r-runjags@2.2.2-5 r-rjags@4-17 r-rcpparmadillo@15.2.6-1 r-rcpp@1.1.1-1.1 r-mass@7.3-65 r-logspline@2.1.22 r-hypergeo@1.2-14 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/danheck/TreeBUGS
Licenses: GPL 3
Build system: r
Synopsis: Hierarchical Multinomial Processing Tree Modeling
Description:

User-friendly analysis of hierarchical multinomial processing tree (MPT) models that are often used in cognitive psychology. Implements the latent-trait MPT approach (Klauer, 2010) <DOI:10.1007/s11336-009-9141-0> and the beta-MPT approach (Smith & Batchelder, 2010) <DOI:10.1016/j.jmp.2009.06.007> to model heterogeneity of participants. MPT models are conveniently specified by an .eqn-file as used by other MPT software and data are provided by a .csv-file or directly in R. Models are either fitted by calling JAGS or by an MPT-tailored Gibbs sampler in C++ (only for nonhierarchical and beta MPT models). Provides tests of heterogeneity and MPT-tailored summaries and plotting functions. A detailed documentation is available in Heck, Arnold, & Arnold (2018) <DOI:10.3758/s13428-017-0869-7> and a tutorial on MPT modeling can be found in Schmidt, Erdfelder, & Heck (2023) <DOI:10.1037/met0000561>.

r-tripack 1.3-9.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tripack
Licenses: FSDG-compatible
Build system: r
Synopsis: Triangulation of Irregularly Spaced Data
Description:

This package provides a constrained two-dimensional Delaunay triangulation package providing both triangulation and generation of voronoi mosaics of irregular spaced data. Please note that most of the functions are now also covered in package interp, which is a re-implementation from scratch under a free license based on a different triangulation algorithm.

r-tfactsr 0.99.0
Propagated dependencies: r-qvalue@2.44.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://afukushima.github.io/TFactSR/
Licenses: GPL 3
Build system: r
Synopsis: Enrichment Approach to Predict Which Transcription Factors are Regulated
Description:

R implementation of TFactS to predict which are the transcription factors (TFs), regulated in a biological condition based on lists of differentially expressed genes (DEGs) obtained from transcriptome experiments. This package is based on the TFactS concept by Essaghir et al. (2010) <doi:10.1093/nar/gkq149> and expands it. It allows users to perform TFactS'-like enrichment approach. The package can import and use the original catalogue file from the TFactS as well as users defined catalogues of interest that are not supported by TFactS (e.g., Arabidopsis).

r-talkr 0.1.3
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.2 r-stringr@1.6.0 r-knitr@1.51 r-ggthemes@5.2.0 r-ggplot2@4.0.3 r-dplyr@1.2.1 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=talkr
Licenses: FSDG-compatible
Build system: r
Synopsis: Plotting Conversation Data
Description:

Visualisation, analysis and quality control of conversational data. Rapid and visual insights into the nature, timing and quality of time-aligned annotations in conversational corpora. For more details, see Dingemanse et al., (2022) <doi:10.18653/v1/2022.acl-long.385>.

r-taplock 0.2.0
Propagated dependencies: r-tower@0.2.0 r-stringr@1.6.0 r-shiny@1.13.0 r-purrr@1.2.2 r-promises@1.5.0 r-lubridate@1.9.5 r-jose@2.0.0 r-httr2@1.2.2 r-glue@1.8.1 r-curl@7.1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/ixpantia/tapLock
Licenses: Expat
Build system: r
Synopsis: Seamless Single Sign-on for 'shiny'
Description:

Swift and seamless Single Sign-On (SSO) integration. Designed for effortless compatibility with popular Single Sign-On providers like Google and Microsoft, it streamlines authentication, enhancing both user experience and application security. Elevate your shiny applications for a simplified, unified, and secure authentication process.

Total packages: 72450