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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-quantilogram 3.1.1
Propagated dependencies: r-scales@1.4.0 r-rlang@1.1.6 r-quantreg@6.1 r-np@0.60-18 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=quantilogram
Licenses: GPL 3+
Build system: r
Synopsis: Cross-Quantilogram
Description:

Estimation and inference methods for the cross-quantilogram. The cross-quantilogram is a measure of nonlinear dependence between two variables, based on either unconditional or conditional quantile functions. It can be considered an extension of the correlogram, which is a correlation function over multiple lag periods that mainly focuses on linear dependency. One can use the cross-quantilogram to detect the presence of directional predictability from one time series to another. This package provides a statistical inference method based on the stationary bootstrap. For detailed theoretical and empirical explanations, see Linton and Whang (2007) for univariate time series analysis and Han, Linton, Oka and Whang (2016) for multivariate time series analysis. The full references for these key publications are as follows: (1) Linton, O., and Whang, Y. J. (2007). The quantilogram: with an application to evaluating directional predictability. Journal of Econometrics, 141(1), 250-282 <doi:10.1016/j.jeconom.2007.01.004>; (2) Han, H., Linton, O., Oka, T., and Whang, Y. J. (2016). The cross-quantilogram: measuring quantile dependence and testing directional predictability between time series. Journal of Econometrics, 193(1), 251-270 <doi:10.1016/j.jeconom.2016.03.001>.

r-qualpalr 2.0.0
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://jolars.github.io/qualpalr/
Licenses: GPL 3
Build system: r
Synopsis: Automatic Generation of Qualitative Color Palettes
Description:

Automatic generation of maximally distinct qualitative color palettes, optionally tailored to color deficiency. A set of colors or a subspace of a color space is used as input and a final palette of specified size is generated by picking colors that maximize the minimum pairwise difference among the chosen colors. Adaptations to color vision deficiency, background colors, and white points are supported.

r-qrisk3 0.6.0
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=QRISK3
Licenses: GPL 3
Build system: r
Synopsis: 10-Year Cardiovascular Disease Risk Calculator (QRISK3 2017)
Description:

This function aims to calculate risk of developing cardiovascular disease of individual patients in next 10 years. This unofficial package was based on published open-sourced free risk prediction algorithm QRISK3-2017 <https://qrisk.org/src.php>.

r-qqtest 1.2.0
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/rwoldford/qqtest
Licenses: GPL 3
Build system: r
Synopsis: Self Calibrating Quantile-Quantile Plots for Visual Testing
Description:

This package provides the function qqtest which incorporates uncertainty in its qqplot display(s) so that the user might have a better sense of the evidence against the specified distributional hypothesis. qqtest draws a quantile quantile plot for visually assessing whether the data come from a test distribution that has been defined in one of many ways. The vertical axis plots the data quantiles, the horizontal those of a test distribution. The default behaviour generates 1000 samples from the test distribution and overlays the plot with shaded pointwise interval estimates for the ordered quantiles from the test distribution. A small number of independently generated exemplar quantile plots can also be overlaid. Both the interval estimates and the exemplars provide different comparative information to assess the evidence provided by the qqplot for or against the hypothesis that the data come from the test distribution (default is normal or gaussian). Finally, a visual test of significance (a lineup plot) can also be displayed to test the null hypothesis that the data come from the test distribution.

r-quantreg-nonpar 1.0
Propagated dependencies: r-rearrangement@2.1 r-quantreg@6.1 r-mnormt@2.1.1 r-fda@6.3.0
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=quantreg.nonpar
Licenses: GPL 2+
Build system: r
Synopsis: Nonparametric Series Quantile Regression
Description:

This package implements the nonparametric quantile regression method developed by Belloni, Chernozhukov, and Fernandez-Val (2011) to partially linear quantile models. Provides point estimates of the conditional quantile function and its derivatives based on series approximations to the nonparametric part of the model. Provides pointwise and uniform confidence intervals using analytic and resampling methods.

r-qapprox 0.2.0
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=Qapprox
Licenses: GPL 2
Build system: r
Synopsis: Approximation to the Survival Functions of Quadratic Forms of Gaussian Variables
Description:

Calculates the right-tail probability of quadratic forms of Gaussian variables using the skewness-kurtosis ratio matching method, modified Liu-Tang-Zhang method and Satterthwaite-Welch method. The technical details can be found in Hong Zhang, Judong Shen and Zheyang Wu (2020) <arXiv:2005.00905>.

r-qtkit 1.1.1
Propagated dependencies: r-xml2@1.5.0 r-rlang@1.1.6 r-openai@0.4.1 r-matrix@1.7-4 r-knitr@1.50 r-kableextra@1.4.0 r-gutenbergr@0.4.1 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-chromote@0.5.1
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=qtkit
Licenses: GPL 3+
Build system: r
Synopsis: Quantitative Text Kit
Description:

Support package for the textbook "An Introduction to Quantitative Text Analysis for Linguists: Reproducible Research Using R" (Francom, 2024) <doi:10.4324/9781003393764>. Includes functions to acquire, clean, and analyze text data as well as functions to document and share the results of text analysis. The package is designed to be used in conjunction with the book, but can also be used as a standalone package for text analysis.

r-qreport 1.1-0
Propagated dependencies: r-viridis@0.6.5 r-rms@8.1-0 r-knitr@1.50 r-htmltools@0.5.8.1 r-hmisc@5.2-4 r-ggplot2@4.0.1 r-formula@1.2-5 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://hbiostat.org/R/qreport/
Licenses: GPL 2+
Build system: r
Synopsis: Statistical Reporting with 'Quarto'
Description:

This package provides statistical components, tables, and graphs that are useful in Quarto and RMarkdown reports and that produce Quarto elements for special formatting such as tabs and marginal notes and graphs. Some of the functions produce entire report sections with tabs, e.g., the missing data report created by missChk(). Functions for inserting variables and tables inside graphviz and mermaid diagrams are included, and so are special clinical trial graphics for adverse event reporting.

r-quickblock 0.2.2
Propagated dependencies: r-scclust@0.2.5 r-distances@0.1.13
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/fsavje/quickblock
Licenses: GPL 3+
Build system: r
Synopsis: Quick Threshold Blocking
Description:

This package provides functions for assigning treatments in randomized experiments using near-optimal threshold blocking. The package is made with large data sets in mind and derives blocks more than an order of magnitude quicker than other methods.

r-qtwacademic 2022.12.13
Propagated dependencies: r-fs@1.6.6
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://andreaczhang.github.io/qtwAcademic/
Licenses: Expat
Build system: r
Synopsis: 'Quarto' Website Templates for Academics
Description:

This package provides three Quarto website templates as an R project, which are commonly used by academics. Templates for personal websites and course/workshop websites are included, as well as a template with minimal content for customization.

r-qragadget 0.3.0
Propagated dependencies: r-sp@2.2-0 r-shinywidgets@0.9.0 r-shiny@1.11.1 r-scales@1.4.0 r-raster@3.6-32 r-miniui@0.1.2 r-magrittr@2.0.4 r-leaflet@2.2.3 r-htmlwidgets@1.6.4
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/paulgovan/qragadget
Licenses: FSDG-compatible
Build system: r
Synopsis: 'Shiny' Gadget for Interactive 'QRA' Visualizations
Description:

Upload raster data and easily create interactive quantitative risk analysis QRA visualizations. Select from numerous color palettes, base-maps, and different configurations.

r-quantification 0.2.0
Propagated dependencies: r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=quantification
Licenses: GPL 3
Build system: r
Synopsis: Quantification of Qualitative Survey Data
Description:

This package provides different functions for quantifying qualitative survey data. It supports the Carlson-Parkin method, the regression approach, the balance approach and the conditional expectations method.

r-qboxplot 0.2
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=qboxplot
Licenses: GPL 2
Build system: r
Synopsis: Quantile-Based Boxplot
Description:

Produce quantile-based box-and-whisker plot(s).

r-qga 1.0
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://barcaroli.github.io/QGA/
Licenses: GPL 2+
Build system: r
Synopsis: Quantum Genetic Algorithm
Description:

Function that implements the Quantum Genetic Algorithm, first proposed by Han and Kim in 2000. This is an R implementation of the python application developed by Lahoz-Beltra (<https://github.com/ResearchCodesHub/QuantumGeneticAlgorithms>). Each optimization problem is represented as a maximization one, where each solution is a sequence of (qu)bits. Following the quantum paradigm, these qubits are in a superposition state: when measuring them, they collapse in a 0 or 1 state. After measurement, the fitness of the solution is calculated as in usual genetic algorithms. The evolution at each iteration is oriented by the application of two quantum gates to the amplitudes of the qubits: (1) a rotation gate (always); (2) a Pauli-X gate (optionally). The rotation is based on the theta angle values: higher values allow a quicker evolution, and lower values avoid local maxima. The Pauli-X gate is equivalent to the classical mutation operator and determines the swap between alfa and beta amplitudes of a given qubit. The package has been developed in such a way as to permit a complete separation between the engine, and the particular problem subject to combinatorial optimization.

r-quadprogxt 0.0.6
Propagated dependencies: r-quadprog@1.5-8
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=quadprogXT
Licenses: GPL 2+
Build system: r
Synopsis: Quadratic Programming with Absolute Value Constraints
Description:

Extends the quadprog package to solve quadratic programs with absolute value constraints and absolute values in the objective function.

r-queryup 1.0.5
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/VoisinneG/queryup
Licenses: GPL 3
Build system: r
Synopsis: Query the 'UniProtKB' REST API
Description:

Retrieve protein information from the UniProtKB REST API (see <https://www.uniprot.org/help/api_queries>).

r-qualitymeasure 2.0.1
Propagated dependencies: r-rlang@1.1.6 r-lme4@1.1-37 r-ggplot2@4.0.1 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=QualityMeasure
Licenses: GPL 3+
Build system: r
Synopsis: Methods for Analyzing Quality Measure Performance
Description:

Quality of care is compared across accountable entities, including hospitals, provider groups, and insurance plans, using standardized quality measures. However, observed variations in quality measure performance might be the result of chance sampling or measurement errors. Contains functions for estimating the reliability of unadjusted and risk-standardized quality measures.

r-qlcal 0.0.17
Propagated dependencies: r-rcpp@1.1.0 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/qlcal/qlcal-r
Licenses: GPL 2+
Build system: r
Synopsis: R Bindings to the Calendaring Functionality of 'QuantLib'
Description:

QuantLib bindings are provided for R using Rcpp via an evolved version of the initial header-only Quantuccia project offering an subset of QuantLib (now maintained separately just for the calendaring subset). See the included file AUTHORS for a full list of contributors to QuantLib (and hence also Quantuccia').

r-qmd 1.1.3
Propagated dependencies: r-rcpp@1.1.0 r-qad@1.0.6 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=qmd
Licenses: GPL 2+
Build system: r
Synopsis: Quantification of Multivariate Dependence
Description:

This package provides a multivariate copula-based dependence measure. For more information, see Griessenberger, Junker, Trutschnig (2022), On a multivariate copula-based dependence measure and its estimation, Electronic Journal of Statistics, 16, 2206-2251.

r-quclu 1.0.1
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=QuClu
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Quantile-Based Clustering Algorithms
Description:

Various quantile-based clustering algorithms: algorithm CU (Common theta and Unscaled variables), algorithm CS (Common theta and Scaled variables through lambda_j), algorithm VU (Variable-wise theta_j and Unscaled variables) and algorithm VW (Variable-wise theta_j and Scaled variables through lambda_j). Hennig, C., Viroli, C., Anderlucci, L. (2019) "Quantile-based clustering." Electronic Journal of Statistics. 13 (2) 4849 - 4883 <doi:10.1214/19-EJS1640>.

r-quarks 1.1.6
Propagated dependencies: r-yfr@1.1.3 r-xts@0.14.1 r-smoots@1.1.4 r-shinyjs@2.1.0 r-shiny@1.11.1 r-rugarch@1.5-4 r-progress@1.2.3 r-ggplot2@4.0.1 r-dygraphs@1.1.1.6
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=quarks
Licenses: GPL 3
Build system: r
Synopsis: Simple Methods for Calculating and Backtesting Value at Risk and Expected Shortfall
Description:

Enables the user to calculate Value at Risk (VaR) and Expected Shortfall (ES) by means of various types of historical simulation. Currently plain-, age-, volatility-weighted- and filtered historical simulation are implemented in this package. Volatility weighting can be carried out via an exponentially weighted moving average model (EWMA) or other GARCH-type models. The performance can be assessed via Traffic Light Test, Coverage Tests and Loss Functions. The methods of the package are described in Gurrola-Perez, P. and Murphy, D. (2015) <https://EconPapers.repec.org/RePEc:boe:boeewp:0525> as well as McNeil, J., Frey, R., and Embrechts, P. (2015) <https://ideas.repec.org/b/pup/pbooks/10496.html>.

r-qcsimulator 0.0.1
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/tvganesh/QCSimulator
Licenses: Expat
Build system: r
Synopsis: 5-Qubit Quantum Computing Simulator
Description:

Simulates a 5 qubit Quantum Computer and evaluates quantum circuits with 1,2 qubit quantum gates.

r-qgaussian 0.1.8
Propagated dependencies: r-zipfr@0.6-70 r-robustbase@0.99-6 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=qGaussian
Licenses: GPL 2+
Build system: r
Synopsis: The q-Gaussian Distribution
Description:

Density, distribution function, quantile function and random generation for the q-gaussian distribution with parameters mu and sig.

r-quadvar 0.1.2
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-shinythemes@1.2.0 r-shiny@1.11.1 r-rlang@1.1.6 r-ramp@2.0.2 r-qgraph@1.9.8 r-ncvreg@3.16.0 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/Sciurus365/quadVAR
Licenses: GPL 3+
Build system: r
Synopsis: Quadratic Vector Autoregression
Description:

Estimate quadratic vector autoregression models with the strong hierarchy using the Regularization Algorithm under Marginality Principle (RAMP) by Hao et al. (2018) <doi:10.1080/01621459.2016.1264956>, compare the performance with linear models, and construct networks with partial derivatives.

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Total results: 68658