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      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
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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-tokenbrowser 0.1.6
Propagated dependencies: r-stringi@1.8.7
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tokenbrowser
Licenses: GPL 3
Build system: r
Synopsis: Create Full Text Browsers from Annotated Token Lists
Description:

Create browsers for reading full texts from a token list format. Information obtained from text analyses (e.g., topic modeling, word scaling) can be used to annotate the texts.

r-tsdt 1.0.8
Propagated dependencies: r-survrm2@1.0-4 r-survival@3.8-3 r-rpart@4.1.24 r-party@1.3-18 r-modeltools@0.2-24 r-mlbench@2.1-6 r-hash@2.2.6.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/EliLillyCo/CRAN_TSDT
Licenses: GPL 2+
Build system: r
Synopsis: Treatment-Specific Subgroup Detection Tool
Description:

This package implements a method for identifying subgroups with superior response relative to the overall sample.

r-tidylog 1.1.0
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-glue@1.8.0 r-dplyr@1.1.4 r-clisymbols@1.2.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/elbersb/tidylog/
Licenses: Expat
Build system: r
Synopsis: Logging for 'dplyr' and 'tidyr' Functions
Description:

This package provides feedback about dplyr and tidyr operations.

r-tidytreatment 0.3.2
Propagated dependencies: r-tidyr@1.3.1 r-tidybayes@3.0.7 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-dplyr@1.1.4 r-dbarts@0.9-32 r-coda@0.19-4.1 r-bart@2.9.10
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/bonstats/tidytreatment
Licenses: Expat
Build system: r
Synopsis: Tidy Methods for Bayesian Treatment Effect Models
Description:

This package provides functions for extracting tidy data from Bayesian treatment effect models, in particular BART, but extensions are possible. Functionality includes extracting tidy posterior summaries as in tidybayes <https://github.com/mjskay/tidybayes>, estimating (average) treatment effects, common support calculations, and plotting useful summaries of these.

r-table1 1.5.1
Propagated dependencies: r-yaml@2.3.10 r-knitr@1.50 r-htmltools@0.5.8.1 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/benjaminrich/table1
Licenses: GPL 3
Build system: r
Synopsis: Tables of Descriptive Statistics in HTML
Description:

Create HTML tables of descriptive statistics, as one would expect to see as the first table (i.e. "Table 1") in a medical/epidemiological journal article.

r-tmvtnsim 0.1.4
Propagated dependencies: r-rcpparmadillo@15.2.2-1 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=tmvtnsim
Licenses: GPL 2+
Build system: r
Synopsis: Truncated Multivariate Normal and t Distribution Simulation
Description:

Simulation of random vectors from truncated multivariate normal and t distributions based on the algorithms proposed by Yifang Li and Sujit K. Ghosh (2015) <doi:10.1080/15598608.2014.996690>.

r-taylorrussell 1.2.1
Propagated dependencies: r-shinywidgets@0.9.0 r-shiny@1.11.1 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=TaylorRussell
Licenses: GPL 2+
Build system: r
Synopsis: Taylor-Russell Function for Multiple Predictors
Description:

The Taylor Russell model is a widely used method for assessing test validity in personnel selection tasks. The three functions in this package extend this model in a number of notable ways. TR() estimates test validity for a single selection test via the original Taylor Russell model. It extends this model by allowing users greater flexibility in argument choice. For example, users can specify any three of the four parameters (base rate, selection ratio, criterion validity, and positive predictive value) of the Taylor Russell model and estimate the remaining parameter (see the help file for examples). The TaylorRussell() function generalizes the original Taylor Russell model to allow for multiple selection tests (predictors). To our knowledge, this is the first generalization of the Taylor Russell model to allow for three or more selection tests (it is also the first to correctly handle models with two selection tests). TRDemo() is a shiny program for illustrating the underlying logic of the Taylor Russell model. Taylor, HC and Russell, JT (1939) "The relationship of validity coefficients to the practical effectiveness of tests in selection: Discussion and tables" <doi:10.1037/h0057079>.

r-timedeppar 1.0.3
Propagated dependencies: r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://gitlab.com/p.reichert/timedeppar
Licenses: GPL 3
Build system: r
Synopsis: Infer Constant and Stochastic, Time-Dependent Model Parameters
Description:

Infer constant and stochastic, time-dependent parameters to consider intrinsic stochasticity of a dynamic model and/or to analyze model structure modifications that could reduce model deficits. The concept is based on inferring time-dependent parameters as stochastic processes in the form of Ornstein-Uhlenbeck processes jointly with inferring constant model parameters and parameters of the Ornstein-Uhlenbeck processes. The package also contains functions to sample from and calculate densities of Ornstein-Uhlenbeck processes. References: Tomassini, L., Reichert, P., Kuensch, H.-R. Buser, C., Knutti, R. and Borsuk, M.E. (2009), A smoothing algorithm for estimating stochastic, continuous-time model parameters and its application to a simple climate model, Journal of the Royal Statistical Society: Series C (Applied Statistics) 58, 679-704, <doi:10.1111/j.1467-9876.2009.00678.x> Reichert, P., and Mieleitner, J. (2009), Analyzing input and structural uncertainty of nonlinear dynamic models with stochastic, time-dependent parameters. Water Resources Research, 45, W10402, <doi:10.1029/2009WR007814> Reichert, P., Ammann, L. and Fenicia, F. (2021), Potential and challenges of investigating intrinsic uncertainty of hydrological models with time-dependent, stochastic parameters. Water Resources Research 57(8), e2020WR028311, <doi:10.1029/2020WR028311> Reichert, P. (2022), timedeppar: An R package for inferring stochastic, time-dependent model parameters, in preparation.

r-tci 0.2.1
Propagated dependencies: r-reshape@0.8.10 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-knitr@1.50 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/jarretrt/tci
Licenses: GPL 2
Build system: r
Synopsis: Target Controlled Infusion (TCI)
Description:

Implementation of target-controlled infusion algorithms for compartmental pharmacokinetic and pharmacokinetic-pharmacodynamic models. Jacobs (1990) <doi:10.1109/10.43622>; Marsh et al. (1991) <doi:10.1093/bja/67.1.41>; Shafer and Gregg (1993) <doi:10.1007/BF01070999>; Schnider et al. (1998) <doi:10.1097/00000542-199805000-00006>; Abuhelwa, Foster, and Upton (2015) <doi:10.1016/j.vascn.2015.03.004>; Eleveld et al. (2018) <doi:10.1016/j.bja.2018.01.018>.

r-telescope 0.2-1
Propagated dependencies: r-mvtnorm@1.3-3 r-mcmcpack@1.7-1 r-extradistr@1.10.0 r-dirichletreg@0.7-2 r-bayesm@3.1-7 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=telescope
Licenses: GPL 2
Build system: r
Synopsis: Bayesian Mixtures with an Unknown Number of Components
Description:

Fits Bayesian finite mixtures with an unknown number of components using the telescoping sampler and different component distributions. For more details see Frühwirth-Schnatter et al. (2021) <doi:10.1214/21-BA1294>.

r-twang 2.6.2
Propagated dependencies: r-xtable@1.8-4 r-xgboost@1.7.11.1 r-survey@4.4-8 r-matrixmodels@0.5-4 r-latticeextra@0.6-31 r-lattice@0.22-7 r-ggplot2@4.0.1 r-gbm@2.2.2 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=twang
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Toolkit for Weighting and Analysis of Nonequivalent Groups
Description:

This package provides functions for propensity score estimating and weighting, nonresponse weighting, and diagnosis of the weights.

r-tfdatasets 2.18.0
Propagated dependencies: r-tidyselect@1.2.1 r-tensorflow@2.20.0 r-rlang@1.1.6 r-reticulate@1.44.1 r-magrittr@2.0.4 r-generics@0.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/rstudio/tfdatasets
Licenses: ASL 2.0
Build system: r
Synopsis: Interface to 'TensorFlow' Datasets
Description:

Interface to TensorFlow Datasets, a high-level library for building complex input pipelines from simple, re-usable pieces. See <https://www.tensorflow.org/guide> for additional details.

r-transformmos 0.1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=transformmos
Licenses: Expat
Build system: r
Synopsis: Transform MOS Values to be Robust for using Rank Based Statistics
Description:

Implementation of the transformation of the Mean Opinion Scores (MOS) to be used before applying the rank based statistical techniques. The method and its necessity is described in: Babak Naderi, Sebastian Möller (2020) <arXiv:2004.11490>.

r-tpfp 0.0.1
Propagated dependencies: r-xlsx@0.6.5 r-readxl@1.4.5 r-knitr@1.50
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-testanaapp 1.1.2
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-shinydashboard@0.7.3 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-semplot@1.1.7 r-rmarkdown@2.30 r-plotrix@3.8-13 r-openxlsx@4.2.8.1 r-officer@0.7.1 r-officedown@0.4.1 r-mirt@1.45.1 r-lordif@0.4.2 r-latticeextra@0.6-31 r-golem@0.5.1 r-ggplot2@4.0.1 r-flextable@0.9.10 r-estcrm@1.6 r-dt@0.34.0 r-dplyr@1.1.4 r-difr@6.1.0 r-cowplot@1.2.0 r-brucer@2026.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/jiangyouxiang/TestAnaAPP
Licenses: GPL 3+
Build system: r
Synopsis: 'shiny' App for Test Analysis and Visualization
Description:

This application provides exploratory and confirmatory factor analysis, classical test theory, unidimensional and multidimensional item response theory, and continuous item response model analysis, through the shiny interactive interface. In addition, it offers rich functionalities for visualizing and downloading results. Users can download figures, tables, and analysis reports via the interactive interface.

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-tidyplate 2.2.0
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-readxl@1.4.5 r-openxlsx@4.2.8.1 r-lifecycle@1.0.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://www.shubhamdutta.com/tidyplate/
Licenses: Expat
Build system: r
Synopsis: Transform Microplate Data into Tibbles
Description:

The goal of tidyplate is to help researchers convert different types of microplates into tibbles which can be used in data analysis. It accepts xlsx and csv files formatted in a specific way as input. It supports all types of standard microplate formats such as 6-well, 12-well, 24-well, 48-well, 96-well, 384-well, and, 1536-well plates.

r-typehint 0.1.2
Propagated dependencies: r-stringr@1.6.0 r-rlist@0.4.6.2 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/jsugarelli/typehint/
Licenses: GPL 3
Build system: r
Synopsis: Auto-Check Types, Dimensions, and Values of Function Arguments
Description:

Type hints are special comments within a function body indicating the intended nature of the function's arguments in terms of data types, dimensions and permitted values. The actual parameters with which the function is called are evaluated against these type hint comments at run-time.

r-tidytransit 1.8.0
Propagated dependencies: r-sf@1.0-23 r-jsonlite@2.0.0 r-hms@1.1.4 r-gtfsio@1.2.0 r-geodist@0.1.1 r-dplyr@1.1.4 r-digest@0.6.39 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/r-transit/tidytransit
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Read, Validate, Analyze, and Map GTFS Feeds
Description:

Read General Transit Feed Specification (GTFS) zipfiles into a list of R dataframes. Perform validation of the data structure against the specification. Analyze the headways and frequencies at routes and stops. Create maps and perform spatial analysis on the routes and stops. Please see the GTFS documentation here for more detail: <https://gtfs.org/>.

r-tcpl 3.3.1
Propagated dependencies: r-viridis@0.6.5 r-tidyr@1.3.1 r-tcplfit2@0.1.9 r-stringr@1.6.0 r-sqldf@0.4-11 r-rmariadb@1.3.4 r-rlang@1.1.6 r-rcolorbrewer@1.1-3 r-plotly@4.11.0 r-numderiv@2016.8-1.1 r-gt@1.3.0 r-gridextra@2.3 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-dbi@1.2.3 r-data-table@1.17.8 r-ctxr@1.1.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/USEPA/CompTox-ToxCast-tcpl
Licenses: Expat
Build system: r
Synopsis: ToxCast Data Analysis Pipeline
Description:

The ToxCast Data Analysis Pipeline ('tcpl') is an R package that manages, curve-fits, plots, and stores ToxCast data to populate its linked MySQL database, invitrodb'. The package was developed for the chemical screening data curated by the US EPA's Toxicity Forecaster (ToxCast) program, but tcpl can be used to support diverse chemical screening efforts.

r-tightclust 1.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tightClust
Licenses: GPL 2+
Build system: r
Synopsis: Tight Clustering
Description:

The functions needed to perform tight clustering Algorithm.

r-transmdl 0.1.0
Propagated dependencies: r-survival@3.8-3 r-statmod@1.5.1 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=transmdl
Licenses: GPL 2+
Build system: r
Synopsis: Semiparametric Transformation Models
Description:

To make the semiparametric transformation models easier to apply in real studies, we introduce this R package, in which the MLE in transformation models via an EM algorithm proposed by Zeng D, Lin DY(2007) <doi:10.1111/j.1369-7412.2007.00606.x> and adaptive lasso method in transformation models proposed by Liu XX, Zeng D(2013) <doi:10.1093/biomet/ast029> are implemented. C++ functions are used to compute complex loops. The coefficient vector and cumulative baseline hazard function can be estimated, along with the corresponding standard errors and P values.

r-tfactsr 0.99.0
Propagated dependencies: r-qvalue@2.42.0
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-tirt 0.2.0
Propagated dependencies: r-tidyr@1.3.1 r-purrr@1.2.0 r-gtools@3.9.5 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=tirt
Licenses: GPL 3
Build system: r
Synopsis: Testlet Item Response Theory
Description:

Implementation of Testlet and Item Response Theory. A light-version yet comprehensive and streamlined framework for psychometric analysis using unidimensional Item Response Theory (IRT; Baker & Kim (2004) <doi:10.1201/9781482276725>) and Testlet Response Theory (TRT; Wainer et al., (2007) <doi:10.1017/CBO9780511618765>). Designed for researchers, this package supports the estimation of item and person parameters for a wide variety of models, including binary (i.e., Rasch, 2-Parameter Logistic, 3-Parameter Logistic) and polytomous (Partial Credit Model, Generalized Partial Credit Model, Graded Response Model) formats. It also supports the estimation of Testlet models (Rasch Testlet, 2-Parameter Logistic Testlet, 3-Parameter Logistic Testlet, Bifactor, Partial Credit Model Testlet, Graded Response), allowing users to account for local item dependence in bundled items. A key feature is the specialized support for combination use and joint estimation of item response model and testlet response model in one calibration. Beyond standard estimation via Marginal Maximum Likelihood with Expectation-Maximization (EM) or Joint Maximum Likelihood, the package also offers Bayesian estimation using priors with maximum a posteriori (MAP) method for item response theory models. It also provides functions for scale linking and equating (Mean-Mean, Mean-Sigma, Stocking-Lord) to ensure comparability across mixed-format test forms. It also facilitates fixed-parameter calibration, enabling users to estimate person abilities with known item parameters or vice versa, which is essential for pre-equating studies and item bank maintenance. Comprehensive data simulation functions are included to generate synthetic datasets with complex structures, including mixed-model blocks and specific testlet effects, aiding in methodological research and study design validation. Researchers can try multiple simulation situations.

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