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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-tidytable 0.11.2
Propagated dependencies: r-vctrs@0.6.5 r-tidyselect@1.2.1 r-rlang@1.1.6 r-pillar@1.11.1 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-glue@1.8.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://markfairbanks.github.io/tidytable/
Licenses: Expat
Build system: r
Synopsis: Tidy Interface to 'data.table'
Description:

This package provides a tidy interface to data.table', giving users the speed of data.table while using tidyverse-like syntax.

r-tm-plugin-lexisnexis 1.4.2
Propagated dependencies: r-xml2@1.5.0 r-tm@0.7-16 r-nlp@0.3-2 r-isocodes@2025.05.18
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 'LexisNexis' Using the 'tm' Text Mining Framework
Description:

This package provides a tm Source to create corpora from articles exported from the LexisNexis content provider as HTML files. It is able to read both text content and meta-data information (including source, date, title, author and pages). Note that the file format is highly unstable: there is no warranty that this package will work for your corpus, and you may have to adjust the code to adapt it to your particular format.

r-tts 1.1
Propagated dependencies: r-sfsmisc@1.1-23 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=TTS
Licenses: GPL 2+
Build system: r
Synopsis: Master Curve Estimates Corresponding to Time-Temperature Superposition
Description:

Time-Temperature Superposition analysis is often applied to frequency modulated data obtained by Dynamic Mechanic Analysis (DMA) and Rheometry in the analytical chemistry and physics areas. These techniques provide estimates of material mechanical properties (such as moduli) at different temperatures in a wider range of time. This package provides the Time-Temperature superposition Master Curve at a referred temperature by the three methods: the two wider used methods, Arrhenius based methods and WLF, and the newer methodology based on derivatives procedure. The Master Curve is smoothed by B-splines basis. The package output is composed of plots of experimental data, horizontal and vertical shifts, TTS data, and TTS data fitted using B-splines with bootstrap confidence intervals.

r-tdroc 2.0
Propagated dependencies: r-survival@3.8-3 r-rcpp@1.1.0 r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tdROC
Licenses: Expat
Build system: r
Synopsis: Nonparametric Estimation of Time-Dependent ROC, Brier Score, and Survival Difference from Right Censored Time-to-Event Data with or without Competing Risks
Description:

The tdROC package facilitates the estimation of time-dependent ROC (Receiver Operating Characteristic) curves and the Area Under the time-dependent ROC Curve (AUC) in the context of survival data, accommodating scenarios with right censored data and the option to account for competing risks. In addition to the ROC/AUC estimation, the package also estimates time-dependent Brier score and survival difference. Confidence intervals of various estimated quantities can be obtained from bootstrap. The package also offers plotting functions for visualizing time-dependent ROC curves.

r-transda 1.0.2
Propagated dependencies: r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=transDA
Licenses: GPL 2+
Build system: r
Synopsis: Transformation Discriminant Analysis
Description:

This package performs transformation discrimination analysis and non-transformation discrimination analysis. It also includes functions for Linear Discriminant Analysis, Quadratic Discriminant Analysis, and Mixture Discriminant Analysis. In the context of mixture discriminant analysis, it offers options for both common covariance matrix (common sigma) and individual covariance matrices (uncommon sigma) for the mixture components.

r-twl 1.0
Propagated dependencies: r-rfast@2.1.5.2 r-mcmcpack@1.7-1 r-data-table@1.17.8 r-corrplot@0.95
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=twl
Licenses: GPL 2+
Build system: r
Synopsis: Two-Way Latent Structure Clustering Model
Description:

Implementation of a Bayesian two-way latent structure model for integrative genomic clustering. The model clusters samples in relation to distinct data sources, with each subject-dataset receiving a latent cluster label, though cluster labels have across-dataset meaning because of the model formulation. A common scaling across data sources is unneeded, and inference is obtained by a Gibbs Sampler. The model can fit multivariate Gaussian distributed clusters or a heavier-tailed modification of a Gaussian density. Uniquely among integrative clustering models, the formulation makes no nestedness assumptions of samples across data sources -- the user can still fit the model if a study subject only has information from one data source. The package provides a variety of post-processing functions for model examination including ones for quantifying observed alignment of clusterings across genomic data sources. Run time is optimized so that analyses of datasets on the order of thousands of features on fewer than 5 datasets and hundreds of subjects can converge in 1 or 2 days on a single CPU. See "Swanson DM, Lien T, Bergholtz H, Sorlie T, Frigessi A, Investigating Coordinated Architectures Across Clusters in Integrative Studies: a Bayesian Two-Way Latent Structure Model, 2018, <doi:10.1101/387076>, Cold Spring Harbor Laboratory" at <https://www.biorxiv.org/content/early/2018/08/07/387076.full.pdf> for model details.

r-table1heatmap 1.2
Propagated dependencies: r-colorramps@2.3.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=Table1Heatmap
Licenses: LGPL 3
Build system: r
Synopsis: Table 1 Heatmap
Description:

Table 1 is the classical way to describe the patients in a clinical study. The amount of splits in the data in such a table is limited. Table1Heatmap draws a heatmap of all crosstables that can be generated with the data. Users can choose between showing the actual crosstables or direction of effect of associations, and highlight associations by number of patients or p-values. v1.2 - fixed "missing "no visible global function definition for ..".

r-twosampletest-hd 1.2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TwoSampleTest.HD
Licenses: GPL 2
Build system: r
Synopsis: Two-Sample Test for the Equality of Distributions for High-Dimensional Data
Description:

For high-dimensional data whose main feature is a large number, p, of variables but a small sample size, the null hypothesis that the marginal distributions of p variables are the same for two groups is tested. We propose a test statistic motivated by the simple idea of comparing, for each of the p variables, the empirical characteristic functions computed from the two samples. If one rejects this global null hypothesis of no differences in distributions between the two groups, a set of permutation p-values is reported to identify which variables are not equally distributed in both groups.

r-te 0.3-0
Propagated dependencies: r-rainbow@3.8 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=TE
Licenses: Expat
Build system: r
Synopsis: Insertion/Deletion Dynamics for Transposable Elements
Description:

This package provides functions to estimate the insertion and deletion rates of transposable element (TE) families. The estimation of insertion rate consists of an improved estimate of the age distribution that takes into account random mutations, and an adjustment by the deletion rate. A hypothesis test for a uniform insertion rate is also implemented. This package implements the methods proposed in Dai et al (2018).

r-tropalgebra 0.1.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tropAlgebra
Licenses: GPL 3+
Build system: r
Synopsis: Tropical Algebraic Functions
Description:

It includes functions like tropical addition, tropical multiplication for vectors and matrices. In tropical algebra, the tropical sum of two numbers is their minimum and the tropical product of two numbers is their ordinary sum. For more information see also I. Simon (1988) Recognizable sets with multiplicities in the tropical semi ring: Volume 324 Lecture Notes I Computer Science, pages 107-120 <doi: 10.1007/BFb0017135>.

r-thisplot 0.3.2
Propagated dependencies: r-thisutils@0.3.6 r-patchwork@1.3.2 r-igraph@2.2.1 r-htmltools@0.5.8.1 r-gtable@0.3.6 r-ggplot2@4.0.1 r-cli@3.6.5
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-tensormcmc 0.1.0
Propagated dependencies: r-rcpp@1.1.0 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=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-tfre 0.1.0
Propagated dependencies: r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TFRE
Licenses: GPL 2+
Build system: r
Synopsis: Tuning-Free Robust and Efficient Approach to High-Dimensional Regression
Description:

Provide functions to estimate the coefficients in high-dimensional linear regressions via a tuning-free and robust approach. The method was published in Wang, L., Peng, B., Bradic, J., Li, R. and Wu, Y. (2020), "A Tuning-free Robust and Efficient Approach to High-dimensional Regression", Journal of the American Statistical Association, 115:532, 1700-1714(JASAâ s discussion paper), <doi:10.1080/01621459.2020.1840989>. See also Wang, L., Peng, B., Bradic, J., Li, R. and Wu, Y. (2020), "Rejoinder to â A tuning-free robust and efficient approach to high-dimensional regression". Journal of the American Statistical Association, 115, 1726-1729, <doi:10.1080/01621459.2020.1843865>; Peng, B. and Wang, L. (2015), "An Iterative Coordinate Descent Algorithm for High-Dimensional Nonconvex Penalized Quantile Regression", Journal of Computational and Graphical Statistics, 24:3, 676-694, <doi:10.1080/10618600.2014.913516>; Clémençon, S., Colin, I., and Bellet, A. (2016), "Scaling-up empirical risk minimization: optimization of incomplete u-statistics", The Journal of Machine Learning Research, 17(1):2682â 2717; Fan, J. and Li, R. (2001), "Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties", Journal of the American Statistical Association, 96:456, 1348-1360, <doi:10.1198/016214501753382273>.

r-tdsc 1.0.4
Propagated dependencies: r-moments@0.14.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tdsc
Licenses: GPL 3
Build system: r
Synopsis: Time Domain Signal Coding
Description:

This package provides functions for performing time domain signal coding as used in Chesmore (2001) <doi:10.1016/S0003-682X(01)00009-3>, and related tasks. This package creates the standard S-matrix and A-matrix (with variable lag), has tools to convert coding matrices into distributed matrices, provides published codebooks and allows for extraction of code sequences.

r-taplock 0.2.0
Propagated dependencies: r-tower@0.2.0 r-stringr@1.6.0 r-shiny@1.11.1 r-purrr@1.2.0 r-promises@1.5.0 r-lubridate@1.9.4 r-jose@1.2.1 r-httr2@1.2.1 r-glue@1.8.0 r-curl@7.0.0
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.

r-tpauc 2.1.1
Propagated dependencies: r-proc@1.19.0.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tpAUC
Licenses: GPL 2+
Build system: r
Synopsis: Estimation and Inference of Two-Way pAUC, pAUC and pODC
Description:

This package provides tools for estimating and inferring two-way partial area under receiver operating characteristic curves (two-way pAUC), partial area under receiver operating characteristic curves (pAUC), and partial area under ordinal dominance curves (pODC). Methods includes Mann-Whitney statistic and Jackknife, etc.

r-tectonicr 0.4.8
Propagated dependencies: r-zoo@1.8-14 r-viridis@0.6.5 r-tidyr@1.3.1 r-terra@1.8-86 r-spatstat-utils@3.2-0 r-spatstat-univar@3.1-5 r-spatstat-geom@3.6-1 r-spatstat-explore@3.6-0 r-smoothr@1.2.1 r-sf@1.0-23 r-rlang@1.1.6 r-rcolorbrewer@1.1-3 r-lifecycle@1.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 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-tidysynthesis 0.1.2
Propagated dependencies: r-yardstick@1.3.2 r-workflows@1.3.0 r-vctrs@0.6.5 r-tune@2.0.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rsample@1.3.1 r-rlang@1.1.6 r-recipes@1.3.1 r-purrr@1.2.0 r-progressr@0.18.0 r-pillar@1.11.1 r-parsnip@1.3.3 r-forcats@1.0.1 r-extdist@0.7-4 r-dplyr@1.1.4 r-dapper@1.1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://ui-research.github.io/tidysynthesis-documentation/
Licenses: GPL 3
Build system: r
Synopsis: Common API for Synthesizing Data
Description:

This package provides a system built on tidymodels for generating synthetic tabular data. We provide tools for ordering a sequential synthesis, feature and target engineering, sampling, hyperparameter tuning, enforcing constraints, and adding extra noise during a synthesis.

r-table-glue 0.0.5
Propagated dependencies: r-stringi@1.8.7 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/bcjaeger/table.glue
Licenses: Expat
Build system: r
Synopsis: Make and Apply Customized Rounding Specifications for Tables
Description:

Translate double and integer valued data into character values formatted for tabulation in manuscripts or other types of academic reports.

r-tsgc 0.0
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-tidyr@1.3.1 r-scales@1.4.0 r-magrittr@2.0.4 r-kfas@1.6.0 r-ggthemes@5.1.0 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://github.com/Craig-PT/tsgc
Licenses: GPL 3+
Build system: r
Synopsis: Time Series Methods Based on Growth Curves
Description:

The tsgc package provides comprehensive tools for the analysis and forecasting of epidemic trajectories. It is designed to model the progression of an epidemic over time while accounting for the various uncertainties inherent in real-time data. Underpinned by a dynamic Gompertz model, the package adopts a state space approach, using the Kalman filter for flexible and robust estimation of the non-linear growth pattern commonly observed in epidemic data. The reinitialization feature enhances the modelâ s ability to adapt to the emergence of new waves. The forecasts generated by the package are of value to public health officials and researchers who need to understand and predict the course of an epidemic to inform decision-making. Beyond its application in public health, the package is also a useful resource for researchers and practitioners in fields where the trajectories of interest resemble those of epidemics, such as innovation diffusion. The package includes functionalities for data preprocessing, model fitting, and forecast visualization, as well as tools for evaluating forecast accuracy. The core methodologies implemented in tsgc are based on well-established statistical techniques as described in Harvey and Kattuman (2020) <doi:10.1162/99608f92.828f40de>, Harvey and Kattuman (2021) <doi:10.1098/rsif.2021.0179>, and Ashby, Harvey, Kattuman, and Thamotheram (2024) <https://www.jbs.cam.ac.uk/wp-content/uploads/2024/03/cchle-tsgc-paper-2024.pdf>.

r-tabxplor 1.3.1
Propagated dependencies: r-vctrs@0.6.5 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-pillar@1.11.1 r-magrittr@2.0.4 r-kableextra@1.4.0 r-forcats@1.0.1 r-dplyr@1.1.4 r-desctools@0.99.60 r-data-table@1.17.8 r-crayon@1.5.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/BriceNocenti/tabxplor
Licenses: GPL 3+
Build system: r
Synopsis: User-Friendly Tables with Color Helpers for Data Exploration
Description:

Make it easy to deal with multiple cross-tables in data exploration, by creating them, manipulating them, and adding color helpers to highlight important informations (differences from totals, comparisons between lines or columns, contributions to variance, confidence intervals, odds ratios, etc.). All functions are pipe-friendly and render data frames which can be easily manipulated. In the same time, time-taking operations are done with data.table to go faster with big dataframes. Tables can be exported with formats and colors to Excel', plot and html.

r-twfeivdecomp 0.1.0
Propagated dependencies: r-magrittr@2.0.4 r-formula@1.2-5 r-dplyr@1.1.4 r-aer@1.2-15
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/shomiyaji/twfeiv-decomp
Licenses: Expat
Build system: r
Synopsis: Instrumented Difference-in-Differences Decomposition
Description:

This package implements a decomposition of the two-way fixed effects instrumental variable estimator into all possible Wald difference-in-differences estimators. Provides functions to summarize the contribution of different cohort comparisons to the overall two-way fixed effects instrumental variable estimate, with or without controls. The method is described in Miyaji (2024) <doi:10.48550/arXiv.2405.16467>.

r-tensorbf 1.0.2
Propagated dependencies: r-tensor@1.5.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tensorBF
Licenses: Expat
Build system: r
Synopsis: Bayesian Tensor Factorization
Description:

Bayesian Tensor Factorization for decomposition of tensor data sets using the trilinear CANDECOMP/PARAFAC (CP) factorization, with automatic component selection. The complete data analysis pipeline is provided, including functions and recommendations for data normalization and model definition, as well as missing value prediction and model visualization. The method performs factorization for three-way tensor datasets and the inference is implemented with Gibbs sampling.

r-tsmethods 1.0.2
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://www.nopredict.com/packages/tsmethods
Licenses: GPL 2
Build system: r
Synopsis: Time Series Methods
Description:

Generic methods for use in a time series probabilistic framework, allowing for a common calling convention across packages. Additional methods for time series prediction ensembles and probabilistic plotting of predictions is included. A more detailed description is available at <https://www.nopredict.com/packages/tsmethods> which shows the currently implemented methods in the tsmodels framework.

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