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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-taqmngr 2018.5-1
Dependencies: zlib@1.3.1
Propagated dependencies: r-rcpp@1.1.1-1.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TAQMNGR
Licenses: GPL 2+
Build system: r
Synopsis: Manage Tick-by-Tick Transaction Data
Description:

Manager of tick-by-tick transaction data that performs cleaning', aggregation and import in an efficient and fast way. The package engine, written in C++, exploits the zlib and gzstream libraries to handle gzipped data without need to uncompress them. Cleaning and aggregation are performed according to Brownlees and Gallo (2006) <DOI:10.1016/j.csda.2006.09.030>. Currently, TAQMNGR processes raw data from WRDS (Wharton Research Data Service, <https://wrds-web.wharton.upenn.edu/wrds/>).

r-traitstrap 0.1.0
Propagated dependencies: r-tidyr@1.3.2 r-tibble@3.3.1 r-stringr@1.6.0 r-rlang@1.2.0 r-purrr@1.2.2 r-glue@1.8.1 r-ggplot2@4.0.3 r-fitdistrplus@1.2-6 r-e1071@1.7-17 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/Plant-Functional-Trait-Course/traitstrap/
Licenses: Expat
Build system: r
Synopsis: Bootstrap Trait Values to Calculate Moments
Description:

Calculates trait moments from trait and community data using the methods developed in Maitner et al (2021) <doi:10.22541/au.162196147.76797968/v1>.

r-tablet 0.8.1
Propagated dependencies: r-yamlet@1.3.4 r-tidyr@1.3.2 r-spork@0.3.5 r-rlang@1.2.0 r-reactable@0.4.5 r-magrittr@2.0.5 r-kableextra@1.4.0 r-fs@2.1.0 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=tablet
Licenses: GPL 3
Build system: r
Synopsis: Tabulate Descriptive Statistics in Multiple Formats
Description:

This package creates a table of descriptive statistics for factor and numeric columns in a data frame. Displays these by groups, if any. Highly customizable, with support for html and pdf provided by kableExtra'. Respects original column order, column labels, and factor level order. See ?tablet.data.frame and vignettes.

r-traipse 0.4.0
Propagated dependencies: r-magrittr@2.0.5 r-geographiclib@0.4.2 r-geodist@0.1.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/AustralianAntarcticDivision/traipse
Licenses: GPL 3
Build system: r
Synopsis: Shared Tools for Tracking Data
Description:

This package provides a collection of commonly used tools for animal movement and other tracking data. Variously distance, angle, bearing, distance-to, bearing-to and speed are provided for geographic data that can be used directly or within tidyverse syntax. Distances and bearings are calculated using modern geodesic methods as provided by Charles F. F. Karney (2013) <doi:10.1007/s00190-012-0578-z> via the geographiclib package.

r-tinycodet 0.7.0
Propagated dependencies: r-stringi@1.8.7 r-rcpp@1.1.1-1.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/tony-aw/tinycodet/
Licenses: Expat
Build system: r
Synopsis: Functions to Help in your Coding Etiquette
Description:

Adds some functions to help in your coding etiquette. tinycodet primarily focuses on 4 aspects. 1) Safer decimal (in)equality testing, standard-evaluated alternatives to with() and aes(), and other functions for safer coding. 2) A new package import system, that attempts to combine the benefits of using a package without attaching it, with the benefits of attaching a package. 3) Extending the string manipulation capabilities of the stringi R package. 4) Reducing repetitive code. Besides linking to Rcpp', tinycodet has only one other dependency, namely stringi'.

r-tpfp 0.0.1
Propagated dependencies: r-xlsx@0.6.5 r-readxl@1.5.0 r-knitr@1.51
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tpfp
Licenses: Expat
Build system: r
Synopsis: Counts the Number of True Positives and False Positives
Description:

Calculates the number of true positives and false positives from a dataset formatted for Jackknife alternative free-response receiver operating characteristic which is used for statistical analysis which is explained in the book Chakraborty DP (2017), "Observer Performance Methods for Diagnostic Imaging - Foundations, Modeling, and Applications with R-Based Examples", Taylor-Francis <https://www.crcpress.com/9781482214840>.

r-tvmvp 1.0.5
Propagated dependencies: r-tidyr@1.3.2 r-r6@2.6.1 r-prettyunits@1.2.0 r-ggplot2@4.0.3 r-dplyr@1.2.1 r-cli@3.6.6
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-tstools 0.4.4
Propagated dependencies: r-zoo@1.8-15 r-yaml@2.3.12 r-xts@0.14.2 r-jsonlite@2.0.0 r-data-table@1.18.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://kof-ch.github.io/tstools/
Licenses: GPL 2
Build system: r
Synopsis: Time Series Toolbox for Official Statistics
Description:

Plot official statistics time series conveniently: automatic legends, highlight windows, stacked bar chars with positive and negative contributions, sum-as-line option, two y-axes with automatic horizontal grids that fit both axes and other popular chart types. tstools comes with a plethora of defaults to let you plot without setting an abundance of parameters first, but gives you the flexibility to tweak the defaults. In addition to charts, tstools provides a super fast, data.table backed time series I/O that allows the user to export / import long format, wide format and transposed wide format data to various file types.

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-trending 0.1.0
Propagated dependencies: r-vctrs@0.7.3 r-tibble@3.3.1 r-pillar@1.11.1 r-mass@7.3-65 r-citools@0.6.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/reconverse/trending
Licenses: Expat
Build system: r
Synopsis: Model Temporal Trends
Description:

This package provides a coherent interface to multiple modelling tools for fitting trends along with a standardised approach for generating confidence and prediction intervals.

r-tinflex 2.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=Tinflex
Licenses: GPL 2+
Build system: r
Synopsis: Universal Non-Uniform Random Number Generator
Description:

This package provides a universal non-uniform random number generator for quite arbitrary distributions with piecewise twice differentiable densities.

r-twoxtwo 0.1.0
Propagated dependencies: r-tidyr@1.3.2 r-rlang@1.2.0 r-magrittr@2.0.5 r-knitr@1.51 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=twoxtwo
Licenses: Expat
Build system: r
Synopsis: Work with Two-by-Two Tables
Description:

This package provides a collection of functions for data analysis with two-by-two contingency tables. The package provides tools to compute measures of effect (odds ratio, risk ratio, and risk difference), calculate impact numbers and attributable fractions, and perform hypothesis testing. Statistical analysis methods are oriented towards epidemiological investigation of relationships between exposures and outcomes.

r-topicdoc 0.1.1
Propagated dependencies: r-topicmodels@0.2-17 r-slam@0.1-55
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/doug-friedman/topicdoc
Licenses: Expat
Build system: r
Synopsis: Topic-Specific Diagnostics for LDA and CTM Topic Models
Description:

Calculates topic-specific diagnostics (e.g. mean token length, exclusivity) for Latent Dirichlet Allocation and Correlated Topic Models fit using the topicmodels package. For more details, see Chapter 12 in Airoldi et al. (2014, ISBN:9781466504080), pp 262-272 Mimno et al. (2011, ISBN:9781937284114), and Bischof et al. (2014) <arXiv:1206.4631v1>.

r-taboolar 0.1.0
Propagated dependencies: r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://windsor.ai/
Licenses: GPL 3
Build system: r
Synopsis: Get Data from 'Taboola' via the 'Windsor.ai' API
Description:

Collect your data on digital marketing campaigns from Taboola using the Windsor.ai API <https://windsor.ai/api-fields/>.

r-tipmap 1.0.1
Propagated dependencies: r-rbest@1.9-0 r-purrr@1.2.2 r-magrittr@2.0.5 r-ggplot2@4.0.3 r-future@1.70.0 r-furrr@0.4.0 r-dplyr@1.2.1 r-coda@0.19-4.1 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/Boehringer-Ingelheim/tipmap
Licenses: ASL 2.0
Build system: r
Synopsis: Tipping Point Analysis for Bayesian Dynamic Borrowing
Description:

Tipping point analysis for clinical trials that employ Bayesian dynamic borrowing via robust meta-analytic predictive (MAP) priors. Further functions facilitate expert elicitation of a primary weight of the informative component of the robust MAP prior and computation of operating characteristics. Intended use is the planning, analysis and interpretation of extrapolation studies in pediatric drug development, but applicability is generally wider.

r-tablaxlsx 1.2.6
Propagated dependencies: r-openxlsx@4.2.8.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tablaxlsx
Licenses: GPL 3
Build system: r
Synopsis: Write Formatted Tables in Excel Workbooks
Description:

For writing tables with custom formats in a Excel file ready to be distributed.

r-tidyquant 1.0.12
Propagated dependencies: r-zoo@1.8-15 r-xts@0.14.2 r-ttr@0.24.4 r-timetk@2.9.1 r-timedate@4052.112 r-tidyr@1.3.2 r-tibble@3.3.1 r-stringr@1.6.0 r-robstattm@1.0.11 r-rlang@1.2.0 r-readxl@1.5.0 r-readr@2.2.0 r-quantmod@0.4.28 r-purrr@1.2.2 r-performanceanalytics@2.1.0 r-magrittr@2.0.5 r-lubridate@1.9.5 r-lazyeval@0.2.3 r-jsonlite@2.0.0 r-httr2@1.2.2 r-httr@1.4.8 r-ggplot2@4.0.3 r-dplyr@1.2.1 r-curl@7.1.0 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://business-science.github.io/tidyquant/
Licenses: Expat
Build system: r
Synopsis: Tidy Quantitative Financial Analysis
Description:

Bringing business and financial analysis to the tidyverse'. The tidyquant package provides a convenient wrapper to various xts', zoo', quantmod', TTR and PerformanceAnalytics package functions and returns the objects in the tidy tibble format. The main advantage is being able to use quantitative functions with the tidyverse functions including purrr', dplyr', tidyr', ggplot2', lubridate', etc. See the tidyquant website for more information, documentation and examples.

r-tabularaster 0.7.2
Propagated dependencies: r-tibble@3.3.1 r-spatstat-geom@3.7-3 r-silicate@0.7.1 r-raster@3.6-32 r-magrittr@2.0.5 r-fasterize@1.1.0 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/hypertidy/tabularaster
Licenses: GPL 3
Build system: r
Synopsis: Tidy Tools for 'Raster' Data
Description:

Facilities to work with vector and raster data in efficient repeatable and systematic work flow. Missing functionality in existing packages is included here to allow extraction from raster data with simple features and Spatial types and to make extraction consistent and straightforward. Extract cell numbers from raster data and return the cells as a data frame rather than as lists of matrices or vectors. The functions here allow spatial data to be used without special handling for the format currently in use.

r-translate-logit 1.0.2
Propagated dependencies: r-nnet@7.3-20 r-nleqslv@3.3.7
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-trumpetplots 0.0.1.1
Propagated dependencies: r-purrr@1.2.2 r-magrittr@2.0.5 r-ggplot2@4.0.3 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=TrumpetPlots
Licenses: Expat
Build system: r
Synopsis: Visualization of Genetic Association Studies
Description:

Visualizes the relationship between allele frequency and effect size in genetic association studies. The input is a data frame containing association results. The output is a plot with the effect size of risk variants in the Y axis, and the allele frequency spectrum in the X axis. Corte et al (2023) <doi:10.1101/2023.04.21.23288923>.

r-transda 1.0.2
Propagated dependencies: r-mvtnorm@1.3-7
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-tr8 0.9.23
Propagated dependencies: r-xml@3.99-0.23 r-shiny@1.13.0 r-reshape@0.8.10 r-readxl@1.5.0 r-rcurl@1.98-1.18 r-rappdirs@0.3.4 r-plyr@1.8.9 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/GioBo/TR8
Licenses: GPL 2+
Build system: r
Synopsis: Tool for Downloading Functional Traits Data for Plant Species
Description:

Plant ecologists often need to collect "traits" data about plant species which are often scattered among various databases: TR8 contains a set of tools which take care of automatically retrieving some of those functional traits data for plant species from publicly available databases (The Ecological Flora of the British Isles, LEDA traitbase, Ellenberg values for Italian Flora, Mycorrhizal intensity databases, BROT, PLANTS, Jepson Flora Project). The TR8 name, inspired by "car plates" jokes, was chosen since it both reminds of the main object of the package and is extremely short to type.

r-ttscreening 1.8
Propagated dependencies: r-sva@3.60.0 r-simsalapar@1.0-13 r-matrixstats@1.5.0 r-mass@7.3-65 r-limma@3.68.3 r-corpcor@1.6.10 r-brglm2@1.1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=ttScreening
Licenses: Artistic License 2.0
Build system: r
Synopsis: Genome-Wide DNA Methylation Sites Screening by Use of Training and Testing Samples
Description:

This package provides a screening process utilizing training and testing samples to filter out uninformative DNA methylation sites. Surrogate variables (SVs) of DNA methylation are included in the filtering process to explain unknown factor effects. This package also provides two screening functions for screening high-dimensional predictors when the events are rare. The firth method is called Rare-Screening which employs a repeated random sampling with replacement and using linear modeling with Bayes adjustment. The Second method is called Firth-ttScreening which uses ttScreening method with additional Firth correction term in the maximum likelihood for the logistic regression model. These methods handle the high-dimensionality and low event rates.

r-transformerforecasting 0.1.0
Propagated dependencies: r-tensorflow@2.20.0 r-reticulate@1.46.0 r-magrittr@2.0.5 r-keras@2.16.1 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=transformerForecasting
Licenses: GPL 3
Build system: r
Synopsis: Transformer Deep Learning Model for Time Series Forecasting
Description:

Time series forecasting faces challenges due to the non-stationarity, nonlinearity, and chaotic nature of the data. Traditional deep learning models like Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU) process data sequentially but are inefficient for long sequences. To overcome the limitations of these models, we proposed a transformer-based deep learning architecture utilizing an attention mechanism for parallel processing, enhancing prediction accuracy and efficiency. This paper presents user-friendly code for the implementation of the proposed transformer-based deep learning architecture utilizing an attention mechanism for parallel processing. References: Nayak et al. (2024) <doi:10.1007/s40808-023-01944-7> and Nayak et al. (2024) <doi:10.1016/j.simpa.2024.100716>.

Total packages: 72465