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


r-tensorts 1.0.2
Propagated dependencies: r-tensor@1.5.1 r-rtensor@1.4.9 r-pracma@2.4.6 r-matrix@1.7-4 r-mass@7.3-65 r-expm@1.0-0 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/zebang/tensorTS
Licenses: GPL 2+
Build system: r
Synopsis: Factor and Autoregressive Models for Tensor Time Series
Description:

Factor and autoregressive models for matrix and tensor valued time series. We provide functions for estimation, simulation and prediction. The models are discussed in Li et al (2021) <doi:10.48550/arXiv.2110.00928>, Chen et al (2020) <DOI:10.1080/01621459.2021.1912757>, Chen et al (2020) <DOI:10.1016/j.jeconom.2020.07.015>, and Xiao et al (2020) <doi:10.48550/arXiv.2006.02611>.

r-tr-iatgen 1.1.0
Propagated dependencies: r-shiny@1.11.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/iatgen/tr.iatgen
Licenses: Expat
Build system: r
Synopsis: Translate 'iatgen' Generated QSF Files
Description:

Automates translating the instructions of iatgen generated qsf (Qualtrics survey files) to other languages using either officially supported or user-supplied translations (for tutorial see Santos et al., 2023 <doi:10.17504/protocols.io.kxygx34jdg8j/v1>).

r-tidystopwords 0.9.1
Propagated dependencies: r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tidystopwords
Licenses: GPL 3+
Build system: r
Synopsis: Customisable Stop-Words in 110 Languages
Description:

This package provides functions to generate stop-word lists in 110 languages, in a way consistent across all the languages supported. The generated lists are based on the morphological tagset from the Universal Dependencies.

r-tls 0.1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/LiYanStat/tls
Licenses: GPL 3+
Build system: r
Synopsis: Tools of Total Least Squares in Error-in-Variables Models
Description:

This package provides functions for point and interval estimation in error-in-variables models via total least squares or generalized total least squares method. See Golub and Van Loan (1980) <doi:10.1137/0717073>, Gleser (1981) <https://www.jstor.org/stable/2240867>, Ivan Markovsky and Huffel (2007) <doi:10.1016/j.sigpro.2007.04.004> for more information.

r-truncnormbayes 0.0.3
Propagated dependencies: r-stanheaders@2.32.10 r-rstantools@2.5.0 r-rstan@2.32.7 r-rdpack@2.6.4 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/mathurlabstanford/truncnormbayes
Licenses: GPL 3+
Build system: r
Synopsis: Estimates Moments for a Truncated Normal Distribution using 'Stan'
Description:

Finds the posterior modes for the mean and standard deviation for a truncated normal distribution with one or two known truncation points. The method used extends Bayesian methods for parameter estimation for a singly truncated normal distribution under the Jeffreys prior (see Zhou X, Giacometti R, Fabozzi FJ, Tucker AH (2014). "Bayesian estimation of truncated data with applications to operational risk measurement". <doi:10.1080/14697688.2012.752103>). This package additionally allows for a doubly truncated normal distribution.

r-tf 0.3.4
Propagated dependencies: r-zoo@1.8-14 r-vctrs@0.6.5 r-rlang@1.1.6 r-purrr@1.2.0 r-pracma@2.4.6 r-mvtnorm@1.3-3 r-mgcv@1.9-4 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://tidyfun.github.io/tf/
Licenses: AGPL 3+
Build system: r
Synopsis: S3 Classes and Methods for Tidy Functional Data
Description:

Defines S3 vector data types for vectors of functional data (grid-based, spline-based or functional principal components-based) with all arithmetic and summary methods, derivation, integration and smoothing, plotting, data import and export, and data wrangling, such as re-evaluating, subsetting, sub-assigning, zooming into sub-domains, or extracting functional features like minima/maxima and their locations. The implementation allows including such vectors in data frames for joint analysis of functional and scalar variables.

r-tidybde 0.5.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-scales@1.4.0 r-readr@2.1.6 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://ropenspain.github.io/tidyBdE/
Licenses: GPL 3+
Build system: r
Synopsis: Download Data from Bank of Spain
Description:

This package provides tools to download data series from Banco de España ('BdE') on tibble format. Banco de España is the national central bank and, within the framework of the Single Supervisory Mechanism ('SSM'), the supervisor of the Spanish banking system along with the European Central Bank. This package is in no way sponsored endorsed or administered by Banco de España'.

r-textab 1.0.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://setzler.github.io/textab/
Licenses: Expat
Build system: r
Synopsis: Create Highly-Customized 'LaTeX' Tables
Description:

Generate LaTeX tables directly from R. It builds LaTeX tables in blocks in the spirit of ggplot2 using the + and / operators for concatenation in the vertical and horizontal dimensions, respectively. It exports tables in the LaTeX tabular environment using .tex code. It can compile .tex code to PDF automatically.

r-tsdfgs 2.0
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-lifecycle@1.0.4 r-latex2exp@0.9.6 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/oumarkme/TSDFGS
Licenses: GPL 3+
Build system: r
Synopsis: Training Set Determination for Genomic Selection
Description:

We propose an optimality criterion to determine the required training set, r-score, which is derived directly from Pearson's correlation between the genomic estimated breeding values and phenotypic values of the test set <doi:10.1007/s00122-019-03387-0>. This package provides two main functions to determine a good training set and its size.

r-trending 0.1.0
Propagated dependencies: r-vctrs@0.6.5 r-tibble@3.3.0 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-txshift 0.3.8
Propagated dependencies: r-stringr@1.6.0 r-scales@1.4.0 r-rdpack@2.6.4 r-mvtnorm@1.3-3 r-lspline@1.0-0 r-latex2exp@0.9.6 r-haldensify@0.2.8 r-hal9001@0.4.6 r-ggplot2@4.0.1 r-data-table@1.17.8 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/nhejazi/txshift
Licenses: Expat
Build system: r
Synopsis: Efficient Estimation of the Causal Effects of Stochastic Interventions
Description:

Efficient estimation of the population-level causal effects of stochastic interventions on a continuous-valued exposure. Both one-step and targeted minimum loss estimators are implemented for the counterfactual mean value of an outcome of interest under an additive modified treatment policy, a stochastic intervention that may depend on the natural value of the exposure. To accommodate settings with outcome-dependent two-phase sampling, procedures incorporating inverse probability of censoring weighting are provided to facilitate the construction of inefficient and efficient one-step and targeted minimum loss estimators. The causal parameter and its estimation were first described by DÃ az and van der Laan (2013) <doi:10.1111/j.1541-0420.2011.01685.x>, while the multiply robust estimation procedure and its application to data from two-phase sampling designs is detailed in NS Hejazi, MJ van der Laan, HE Janes, PB Gilbert, and DC Benkeser (2020) <doi:10.1111/biom.13375>. The software package implementation is described in NS Hejazi and DC Benkeser (2020) <doi:10.21105/joss.02447>. Estimation of nuisance parameters may be enhanced through the Super Learner ensemble model in sl3', available for download from GitHub using remotes::install_github("tlverse/sl3")'.

r-tidyquery 0.2.4
Propagated dependencies: r-stringr@1.6.0 r-rlang@1.1.6 r-queryparser@0.3.2 r-lubridate@1.9.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/ianmcook/tidyquery
Licenses: ASL 2.0
Build system: r
Synopsis: Query 'R' Data Frames with 'SQL'
Description:

Use SQL SELECT statements to query R data frames.

r-tetraclasse 0.1.21
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-reshape2@1.4.5 r-magrittr@2.0.4 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-factominer@2.12 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tetraclasse
Licenses: GPL 3
Build system: r
Synopsis: Satisfaction Analysis using Tetraclasse Model and Llosa Matrix
Description:

The satisfaction Analysis using the tetraclasse model from Sylvie Llosa. Llosa (1997) <http://www.jstor.org/stable/40592578>.

r-textboxplacement 1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=textBoxPlacement
Licenses: GPL 2+
Build system: r
Synopsis: Compute a Non-Overlapping Layout of Text Boxes to Label Multiple Overlain Plots
Description:

Compute a non-overlapping layout of text boxes to label multiple overlain curves. For each curve, iteratively search for an adjacent x,y position for the text box that does not overlap with the other curves. If this process fails, then offsets are computed to add to the y values for each curve, that results in sufficient space to add all of the text labels.

r-tidydelta 0.1.0
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-numderiv@2016.8-1.1 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/JavierMtzRdz/tidydelta
Licenses: Expat
Build system: r
Synopsis: Estimation of Standard Errors using Delta Method
Description:

Delta Method implementation to estimate standard errors with known asymptotic properties within the tidyverse workflow. The Delta Method is a statistical tool that approximates an estimatorâ s behaviour using a Taylor Expansion. For a comprehensive explanation, please refer to Chapter 3 of van der Vaart (1998, ISBN: 9780511802256).

r-tidyquant 1.0.11
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-ttr@0.24.4 r-timetk@2.9.1 r-timedate@4051.111 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-robstattm@1.0.11 r-rlang@1.1.6 r-readxl@1.4.5 r-readr@2.1.6 r-quantmod@0.4.28 r-purrr@1.2.0 r-performanceanalytics@2.0.8 r-magrittr@2.0.4 r-lubridate@1.9.4 r-lazyeval@0.2.2 r-httr2@1.2.1 r-httr@1.4.7 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-curl@7.0.0 r-cli@3.6.5
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-trendchange 1.2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=trendchange
Licenses: GPL 3
Build system: r
Synopsis: Innovative Trend Analysis and Time-Series Change Point Analysis
Description:

Innovative Trend Analysis is a graphical method to examine the trends in time series data. Sequential Mann-Kendall test uses the intersection of prograde and retrograde series to indicate the possible change point in time series data. Distribution free cumulative sum charts indicate location and significance of the change point in time series. Zekai, S. (2011). <doi:10.1061/(ASCE)HE.1943-5584.0000556>. Grayson, R. B. et al. (1996). Hydrological Recipes: Estimation Techniques in Australian Hydrology. Cooperative Research Centre for Catchment Hydrology, Australia, p. 125. Sneyers, S. (1990). On the statistical analysis of series of observations. Technical note no 5 143, WMO No 725 415. Secretariat of the World Meteorological Organization, Geneva, 192 pp.

r-teigen 2.2.2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=teigen
Licenses: GPL 2+
Build system: r
Synopsis: Model-Based Clustering and Classification with the Multivariate t Distribution
Description:

Fits mixtures of multivariate t-distributions (with eigen-decomposed covariance structure) via the expectation conditional-maximization algorithm under a clustering or classification paradigm.

r-tesselle 1.6.0
Propagated dependencies: r-tabula@3.3.2 r-nexus@0.6.0 r-khroma@1.17.0 r-kairos@2.3.0 r-isopleuros@1.4.0 r-folio@1.5.1 r-dimensio@0.14.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://codeberg.org/tesselle/tesselle
Licenses: GPL 3+
Build system: r
Synopsis: Easily Install and Load 'tesselle' Packages
Description:

Easy install and load key packages from the tesselle suite in a single step. The tesselle suite is a collection of packages for research and teaching in archaeology. These packages focus on quantitative analysis methods developed for archaeology. The tesselle packages are designed to work seamlessly together and to complement general-purpose and other specialized statistical packages. These packages can be used to explore and analyze common data types in archaeology: count data, compositional data and chronological data. Learn more about tesselle at <https://www.tesselle.org>.

r-thermimage 4.1.3
Dependencies: perl@5.36.0 imagemagick@6.9.13-5 ffmpeg@8.0 perl-image-exiftool@12.70
Propagated dependencies: r-tiff@0.1-12 r-png@0.1-8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=Thermimage
Licenses: GPL 2+
Build system: r
Synopsis: Thermal Image Analysis
Description:

This package provides a collection of functions and routines for inputting thermal image video files, plotting and converting binary raw data into estimates of temperature. First published 2015-03-26. Written primarily for research purposes in biological applications of thermal images. v1 included the base calculations for converting thermal image binary values to temperatures. v2 included additional equations for providing heat transfer calculations and an import function for thermal image files (v2.2.3 fixed error importing thermal image to windows OS). v3. Added numerous functions for converting thermal image, videos, rewriting and exporting. v3.1. Added new functions to convert files. v3.2. Fixed the various functions related to finding frame times. v4.0. fixed an error in atmospheric attenuation constants, affecting raw2temp and temp2raw functions. Recommend update for use with long distance calculations. v.4.1.3 changed to frameLocates to reflect change to as.character() to format().

r-tigger 1.1.2
Propagated dependencies: r-tidyr@1.3.1 r-stringi@1.8.7 r-rlang@1.1.6 r-lazyeval@0.2.2 r-iterators@1.0.14 r-gtools@3.9.5 r-gridextra@2.3 r-ggplot2@4.0.1 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17 r-alakazam@1.4.2
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: http://tigger.readthedocs.io
Licenses: AGPL 3
Build system: r
Synopsis: Infers Novel Immunoglobulin Alleles from Sequencing Data
Description:

This package infers the V genotype of an individual from immunoglobulin (Ig) repertoire sequencing data (AIRR-Seq, Rep-Seq). Includes detection of any novel alleles. This information is then used to correct existing V allele calls from among the sample sequences. Citations: Gadala-Maria, et al (2015) <doi:10.1073/pnas.1417683112>, Gadala-Maria, et al (2019) <doi:10.3389/fimmu.2019.00129>.

r-ti 4.0.0
Propagated dependencies: r-tidyr@1.3.1 r-scales@1.4.0 r-s7@0.2.1 r-rlang@1.1.6 r-lubridate@1.9.4 r-janitor@2.2.1 r-glue@1.8.0 r-duckdb@1.4.2 r-dplyr@1.1.4 r-dbplyr@2.5.1 r-dbi@1.2.3 r-cli@3.6.5 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://codeberg.org/usrbinr/ti
Licenses: Expat
Build system: r
Synopsis: Time Intelligence and Customer Segmentation for Financial Analysis
Description:

Calculate time intelligence metrics for financial planning and analysis. ti provides functions for period-over-period comparisons (year-over-year, month-over-month), period-to-date calculations (YTD, MTD, QTD), and customer segmentation (ABC analysis, cohorts). Supports standard and retail calendars (4-4-5, 4-5-4, 5-4-4) with both in-memory and database backends via dbplyr'.

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@1.0.1 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-textforecast 0.1.3
Propagated dependencies: r-wordcloud@2.6 r-udpipe@0.8.16 r-tm@0.7-16 r-tidytext@0.4.3 r-tidyr@1.3.1 r-rcolorbrewer@1.1-3 r-pracma@2.4.6 r-plyr@1.8.9 r-pdftools@3.6.0 r-matrix@1.7-4 r-glmnet@4.1-10 r-ggplot2@4.0.1 r-forecast@8.24.0 r-forcats@1.0.1 r-dplyr@1.1.4 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/lucasgodeiro/TextForecast
Licenses: GPL 3
Build system: r
Synopsis: Regression Analysis and Forecasting Using Textual Data from a Time-Varying Dictionary
Description:

This package provides functionalities based on the paper "Time Varying Dictionary and the Predictive Power of FED Minutes" (Lima, 2018) <doi:10.2139/ssrn.3312483>. It selects the most predictive terms, that we call time-varying dictionary using supervised machine learning techniques as lasso and elastic net.

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