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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-tournamentofchampions 0.1.0
Propagated dependencies: r-tidyverse@2.0.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/celevitz/touRnamentofchampions
Licenses: Expat
Build system: r
Synopsis: Tournament of Champions Data
Description:

Several datasets which describe the challenges and results of competitions in Tournament of Champions. This data is useful for practicing data wrangling, graphing, and analyzing how each season of Tournament of Champions played out.

r-tradeoffaucdim 0.2.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-superlearner@2.0-29 r-stringr@1.6.0 r-speedglm@0.3-5 r-rsample@1.3.1 r-rocr@1.0-11 r-purrr@1.2.0 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-fuzzysim@4.48 r-fastdummies@1.7.5 r-ez@4.4-0 r-dplyr@1.1.4 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/luisgarcez11/tradeoffaucdim
Licenses: Expat
Build system: r
Synopsis: Plotting Trade-Off AUC-Dimensionality
Description:

Perform and Runtime statistical comparisons between models. This package aims at choosing the best model for a particular dataset, regarding its discriminant power and runtime.

r-theopenair 0.1.0
Propagated dependencies: r-xml2@1.5.0 r-tibble@3.3.0 r-stringr@1.6.0 r-stringi@1.8.7 r-rstudioapi@0.17.1 r-reticulate@1.44.1 r-r-utils@2.13.0 r-magrittr@2.0.4 r-httr@1.4.7 r-data-table@1.17.8 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: http://openair-lib.org/
Licenses: Expat
Build system: r
Synopsis: Integrate 'OpenAI' Large Language Models into Your 'R' Workflows
Description:

Utilizing the OpenAI API as the back end (<https://platform.openai.com/docs/api-reference>), TheOpenAIR offers R wrapper functions for the ChatGPT endpoint and several high-level functions that enable the integration of ChatGPT capabilities in diverse data-related tasks, such as data cleansing and automated analytics script generation.

r-tsmsn 0.0.1
Propagated dependencies: r-sn@2.1.1 r-progress@1.2.3 r-numderiv@2016.8-1.1 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=TSMSN
Licenses: Expat
Build system: r
Synopsis: Truncated Scale Mixtures of Skew-Normal Distributions
Description:

Return the first four moments, estimation of parameters and sample of the TSMSN distributions (Skew Normal, Skew t, Skew Slash or Skew Contaminated Normal).

r-tabularaster 0.7.2
Propagated dependencies: r-tibble@3.3.0 r-spatstat-geom@3.6-1 r-silicate@0.7.1 r-raster@3.6-32 r-magrittr@2.0.4 r-fasterize@1.1.0 r-dplyr@1.1.4
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-testdat 0.4.4
Propagated dependencies: r-tidyselect@1.2.1 r-testthat@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-lifecycle@1.0.4 r-glue@1.8.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://socialresearchcentre.github.io/testdat/
Licenses: Expat
Build system: r
Synopsis: Data Unit Testing for R
Description:

Test your data! An extension of the testthat unit testing framework with a family of functions and reporting tools for checking and validating data frames.

r-tidylda 0.0.7
Propagated dependencies: r-tidytext@0.4.3 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-rcppthread@2.2.0 r-rcppprogress@0.4.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mvrsquared@0.1.5 r-matrix@1.7-4 r-gtools@3.9.5 r-generics@0.1.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/TommyJones/tidylda/
Licenses: Expat
Build system: r
Synopsis: Latent Dirichlet Allocation Using 'tidyverse' Conventions
Description:

This package implements an algorithm for Latent Dirichlet Allocation (LDA), Blei et at. (2003) <https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf>, using style conventions from the tidyverse', Wickham et al. (2019)<doi:10.21105/joss.01686>, and tidymodels', Kuhn et al.<https://tidymodels.github.io/model-implementation-principles/>. Fitting is done via collapsed Gibbs sampling. Also implements several novel features for LDA such as guided models and transfer learning.

r-ts 1.0.1
Propagated dependencies: r-terra@1.8-86
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=Ts
Licenses: GPL 3
Build system: r
Synopsis: Calculation of the Surface Temperature (Ts) from Geospatial Raster Data
Description:

This package provides functions to calculate the Surface Temperature (Ts) from geospatial raster data. These functions use albedo, Normalized Difference Vegetation Index (NDVI), and air temperature (Ta) to estimate Ts, facilitating hydrological, ecological, and remote sensing analyses.

r-tuneranger 0.8.1
Propagated dependencies: r-smoof@1.6.0.3 r-ranger@0.17.0 r-paramhelpers@1.14.2 r-mlrmbo@1.1.5.1 r-mlr@2.19.3 r-lhs@1.2.0 r-dicekriging@1.6.1 r-bbmisc@1.13
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tuneRanger
Licenses: GPL 3
Build system: r
Synopsis: Tune Random Forest of the 'ranger' Package
Description:

Tuning random forest with one line. The package is mainly based on the packages ranger and mlrMBO'.

r-tsss 1.3.4-5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=TSSS
Licenses: GPL 2+
Build system: r
Synopsis: Time Series Analysis with State Space Model
Description:

This package provides functions for statistical analysis, modeling and simulation of time series with state space model, based on the methodology in Kitagawa (2020, ISBN: 978-0-367-18733-0).

r-tukeytrend 0.7
Propagated dependencies: r-pbkrtest@0.5.5 r-nlme@3.1-168 r-multcomp@1.4-29 r-mgcv@1.9-4 r-matrix@1.7-4 r-lme4@1.1-37
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://cran.r-project.org/package=tukeytrend
Licenses: GPL 2
Build system: r
Synopsis: Tukeys Trend Test via Multiple Marginal Models
Description:

This package provides wrapper functions to the multiple marginal model function mmm() of package multcomp to implement the trend test of Tukey, Ciminera and Heyse (1985) <DOI:10.2307/2530666> for general parametric models.

r-tashu 0.1.1
Propagated dependencies: r-reshape2@1.4.5 r-rcolorbrewer@1.1-3 r-randomforest@4.7-1.2 r-plyr@1.8.9 r-lubridate@1.9.4 r-ggplot2@4.0.1 r-drat@0.2.5 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=tashu
Licenses: GPL 2+
Build system: r
Synopsis: Analysis and Prediction of Bicycle Rental Amount
Description:

This package provides functions for analyzing citizens bicycle usage pattern and predicting rental amount on specific conditions. Functions on this package interacts with data on tashudata package, a drat repository. tashudata package contains rental/return history on public bicycle system('Tashu'), weather for 3 years and bicycle station information. To install this data package, see the instructions at <https://github.com/zeee1/Tashu_Rpackage>. top10_stations(), top10_paths() function visualizes image showing the most used top 10 stations and paths. daily_bike_rental() and monthly_bike_rental() shows daily, monthly amount of bicycle rental. create_train_dataset(), create_test_dataset() is data processing function for prediction. Bicycle rental history from 2013 to 2014 is used to create training dataset and that on 2015 is for test dataset. Users can make random-forest prediction model by using create_train_model() and predict amount of bicycle rental in 2015 by using predict_bike_rental().

r-tsg 0.1.3
Propagated dependencies: r-yaml@2.3.10 r-tidyr@1.3.1 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-openxlsx@4.2.8.1 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-haven@2.5.5 r-glue@1.8.0 r-fs@1.6.6 r-forcats@1.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://yng-me.github.io/tsg/
Licenses: Expat
Build system: r
Synopsis: Generate Publication-Ready Statistical Tables
Description:

This package provides a collection of functions for generating frequency tables and cross-tabulations of categorical variables. The resulting tables can be exported to various formats (Excel, PDF, HTML, etc.) with extensive formatting and layout customization options.

r-tfaddons 0.10.0
Propagated dependencies: r-tensorflow@2.20.0 r-rstudioapi@0.17.1 r-reticulate@1.44.1 r-purrr@1.2.0 r-keras@2.16.1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/henry090/tfaddons
Licenses: ASL 2.0
Build system: r
Synopsis: Interface to 'TensorFlow SIG Addons'
Description:

TensorFlow SIG Addons <https://www.tensorflow.org/addons> is a repository of community contributions that conform to well-established API patterns, but implement new functionality not available in core TensorFlow'. TensorFlow natively supports a large number of operators, layers, metrics, losses, optimizers, and more. However, in a fast moving field like Machine Learning, there are many interesting new developments that cannot be integrated into core TensorFlow (because their broad applicability is not yet clear, or it is mostly used by a smaller subset of the community).

r-taxnames 0.1.0
Propagated dependencies: r-taxlist@0.3.5
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/kamapu/taxnames
Licenses: GPL 3
Build system: r
Synopsis: Formatting Taxonomic Names in Markdown
Description:

This package provides a collection of functions used to format taxonomic names in Markdown documents. Those functions work with data structured according to Alvarez and Luebert (2018) <doi:10.3897/bdj.6.e23635>.

r-timeroc 0.4
Propagated dependencies: r-pec@2025.06.24 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=timeROC
Licenses: GPL 2+
Build system: r
Synopsis: Time-Dependent ROC Curve and AUC for Censored Survival Data
Description:

Estimation of time-dependent ROC curve and area under time dependent ROC curve (AUC) in the presence of censored data, with or without competing risks. Confidence intervals of AUCs and tests for comparing AUCs of two rival markers measured on the same subjects can be computed, using the iid-representation of the AUC estimator. Plot functions for time-dependent ROC curves and AUC curves are provided. Time-dependent Positive Predictive Values (PPV) and Negative Predictive Values (NPV) can also be computed. See Blanche et al. (2013) <doi:10.1002/sim.5958> and references therein for the details of the methods implemented in the package.

r-tradepolicy 0.7.0
Propagated dependencies: r-tidyr@1.3.1 r-sandwich@3.1-1 r-purrr@1.2.0 r-msm@1.8.2 r-magrittr@2.0.4 r-knitr@1.50 r-ggplot2@4.0.1 r-formula@1.2-5 r-fixest@0.13.2 r-dplyr@1.1.4 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/pachadotdev/tradepolicy/
Licenses: FSDG-compatible
Build system: r
Synopsis: Replication of 'An Advanced Guide To Trade Policy Analysis'
Description:

Datasets from Yotov, et al. (2016, ISBN:978-92-870-4367-2) "An Advanced Guide to Trade Policy Analysis" and functions to report regression summaries with clustered robust standard errors.

r-tidypmc 2.0
Propagated dependencies: r-xml2@1.5.0 r-tokenizers@0.3.0 r-tibble@3.3.0 r-stringr@1.6.0 r-readr@2.1.6 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/ropensci/tidypmc
Licenses: GPL 3
Build system: r
Synopsis: Parse Full Text XML Documents from PubMed Central
Description:

Parse XML documents from the Open Access subset of Europe PubMed Central <https://europepmc.org> including section paragraphs, tables, captions and references.

r-tidier 0.2.0
Propagated dependencies: r-tidyr@1.3.1 r-slider@0.3.3 r-rlang@1.1.6 r-magrittr@2.0.4 r-furrr@0.3.1 r-dplyr@1.1.4 r-dbplyr@2.5.1 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/talegari/tidier
Licenses: GPL 3+
Build system: r
Synopsis: Enhanced 'mutate'
Description:

This package provides Apache Spark style window aggregation for R dataframes and remote dbplyr tables via mutate in dplyr flavour.

r-tidylaslog 0.1.2
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/Omodolor/tidylaslog
Licenses: Expat
Build system: r
Synopsis: Tidy Import, Indexing, and Export of LAS Well Log Data
Description:

This package provides tools for reading, parsing, indexing, and exporting LAS (Log ASCII Standard) well log files into tidy, analysis-ready tabular formats. The package separates LAS header information and log data into structured components, builds a searchable index across collections of LAS files, and enables reproducible subsetting of wells based on metadata or curve availability. Output tables can be written to CSV or Parquet formats to support large-scale statistical, machine learning, and earth science workflows. The tidy data structure follows Wickham (2014) <doi:10.18637/jss.v059.i10>. The LAS file structure follows the Canadian Well Logging Society LAS standard <https://www.cwls.org/wp-content/uploads/2017/02/Las2_Update_Jan2017.pdf>.

r-trialr 0.1.6
Propagated dependencies: r-tidybayes@3.0.7 r-tibble@3.3.0 r-stringr@1.6.0 r-stanheaders@2.32.10 r-rstantools@2.5.0 r-rstan@2.32.7 r-rlang@1.1.6 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-purrr@1.2.0 r-mass@7.3-65 r-magrittr@2.0.4 r-gtools@3.9.5 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-coda@0.19-4.1 r-binom@1.1-1.1 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/brockk/trialr
Licenses: GPL 3+
Build system: r
Synopsis: Clinical Trial Designs in 'rstan'
Description:

This package provides a collection of clinical trial designs and methods, implemented in rstan and R, including: the Continual Reassessment Method by O'Quigley et al. (1990) <doi:10.2307/2531628>; EffTox by Thall & Cook (2004) <doi:10.1111/j.0006-341X.2004.00218.x>; the two-parameter logistic method of Neuenschwander, Branson & Sponer (2008) <doi:10.1002/sim.3230>; and the Augmented Binary method by Wason & Seaman (2013) <doi:10.1002/sim.5867>; and more. We provide functions to aid model-fitting and analysis. The rstan implementations may also serve as a cookbook to anyone looking to extend or embellish these models. We hope that this package encourages the use of Bayesian methods in clinical trials. There is a preponderance of early phase trial designs because this is where Bayesian methods are used most. If there is a method you would like implemented, please get in touch.

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-timedepfrail 0.1.0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://alessandragni.github.io/TimeDepFrail/
Licenses: GPL 3+
Build system: r
Synopsis: Time Dependent Shared Frailty Cox Model
Description:

Fits time-dependent shared frailty Cox model (specifically the adapted Paik et al.'s Model) based on the paper "Centre-Effect on Survival After Bone Marrow Transplantation: Application of Time-Dependent Frailty Models", by C.M. Wintrebert, H. Putter, A.H. Zwinderman and J.C. van Houwelingen (2004) <doi:10.1002/bimj.200310051>.

r-tlagpropodds 1.10
Propagated dependencies: r-survival@3.8-3 r-r-utils@2.13.0 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=tLagPropOdds
Licenses: GPL 2
Build system: r
Synopsis: Proportional Odds Model with Censored, Time-Lagged Categorical Outcome
Description:

This package implements a semiparametric estimator for the odds ratio model with censored, time-lagged, ordered categorical outcome in a randomized clinical trial that incorporates baseline and time-dependent information. Tsiatis AA, Davidian M, Holloway ST (2023) <doi:10.1111/biom.13603>.

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