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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-popreconstruct 1.0-6
Propagated dependencies: r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=popReconstruct
Licenses: GPL 3
Build system: r
Synopsis: Reconstruct Human Populations of the Recent Past
Description:

This package implements the Bayesian hierarchical model described by Wheldon, Raftery, Clark and Gerland (see: <doi:10.1080/01621459.2012.737729>) for simultaneously estimating age-specific population counts, fertility rates, mortality rates and net international migration flows, at the national level.

r-prompter 1.2.1
Propagated dependencies: r-shiny@1.11.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://prompter.etiennebacher.com
Licenses: Expat
Build system: r
Synopsis: Add Tooltips in 'Shiny' Apps with 'Hint.css'
Description:

In Shiny apps, it is sometimes useful to store information on a particular item in a tooltip. Prompter allows you to easily create such tooltips, using Hint.css'.

r-packetllm 0.1.1
Propagated dependencies: r-shinyjs@2.1.0 r-shiny@1.11.1 r-readtext@0.92.1 r-promises@1.5.0 r-pdftools@3.6.0 r-httr@1.4.7 r-future@1.68.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/AntoniCzolgowski/PacketLLM
Licenses: Expat
Build system: r
Synopsis: Interactive 'OpenAI' Model Integration in 'RStudio'
Description:

Offers an interactive RStudio gadget interface for communicating with OpenAI large language models (e.g., gpt-5', gpt-5-mini', gpt-5-nano') (<https://platform.openai.com/docs/api-reference>). Enables users to conduct multiple chat conversations simultaneously in separate tabs. Supports uploading local files (R, PDF, DOCX) to provide context for the models. Allows per-conversation configuration of system messages (where supported by the model). API interactions via the httr package are performed asynchronously using promises and future to avoid blocking the R console. Useful for tasks like code generation, text summarization, and document analysis directly within the RStudio environment. Requires an OpenAI API key set as an environment variable.

r-quartabs 0.1.1
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://sayuks.github.io/quartabs/
Licenses: Expat
Build system: r
Synopsis: Dynamically Generate Tabset Panels in 'Quarto' HTML Documents
Description:

Dynamically generate tabset panels <https://quarto.org/docs/output-formats/html-basics.html#tabsets> in Quarto HTML documents using a data frame as input.

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-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-qvarsel 1.2
Propagated dependencies: r-rcpp@1.1.0 r-lpsolveapi@5.5.2.0-17.14
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=qVarSel
Licenses: GPL 2+
Build system: r
Synopsis: Select Variables for Optimal Clustering
Description:

Finding hidden clusters in structured data can be hindered by the presence of masking variables. If not detected, masking variables are used to calculate the overall similarities between units, and therefore the cluster attribution is more imprecise. The algorithm q-vars implements an optimization method to find the variables that most separate units between clusters. In this way, masking variables can be discarded from the data frame and the clustering is more accurate. Tests can be found in Benati et al.(2017) <doi:10.1080/01605682.2017.1398206>.

r-qca 3.23
Propagated dependencies: r-venn@1.12 r-shiny@1.11.1 r-lpsolve@5.6.23 r-declared@0.25 r-admisc@0.39
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/dusadrian/QCA
Licenses: GPL 3+
Build system: r
Synopsis: Qualitative Comparative Analysis
Description:

An extensive set of functions to perform Qualitative Comparative Analysis: crisp sets ('csQCA'), temporal ('tQCA'), multi-value ('mvQCA') and fuzzy sets ('fsQCA'), using a GUI - graphical user interface. QCA is a methodology that bridges the qualitative and quantitative divide in social science research. It uses a Boolean minimization algorithm, resulting in a minimal causal configuration associated with a given phenomenon.

r-quicksentiment 0.3.1
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=quickSentiment
Licenses: Expat
Build system: r
Synopsis: Fast and Flexible Pipeline for Text Classification
Description:

This package provides a high-level pipeline that simplifies text classification into three streamlined steps: preprocessing, model training, and standardized prediction. It unifies the interface for multiple algorithms (including glmnet', ranger', xgboost', and naivebayes') and memory-efficient sparse matrix vectorization methods (Bag-of-Words, Term Frequency, TF-IDF, and Binary). Users can go from raw text to a fully evaluated sentiment model, complete with ROC-optimized thresholds, in just a few function calls. The resulting model artifact automatically aligns the vocabulary of new datasets during the prediction phase, safely appending predicted classes and probability matrices directly to the user's original dataframe to preserve metadata.

r-qgg 1.1.6
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/psoerensen/qgg
Licenses: GPL 3
Build system: r
Synopsis: Statistical Tools for Quantitative Genetic Analyses
Description:

This package provides an infrastructure for efficient processing of large-scale genetic and phenotypic data including core functions for: 1) fitting linear mixed models, 2) constructing marker-based genomic relationship matrices, 3) estimating genetic parameters (heritability and correlation), 4) performing genomic prediction and genetic risk profiling, and 5) single or multi-marker association analyses. Rohde et al. (2019) <doi:10.1101/503631>.

r-qgcompint 1.0.2
Propagated dependencies: r-survival@3.8-3 r-rootsolve@1.8.2.4 r-qgcomp@2.18.7 r-numderiv@2016.8-1.1 r-mass@7.3-65 r-gridextra@2.3 r-ggplot2@4.0.1 r-future-apply@1.20.0 r-future@1.68.0 r-arm@1.14-4
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/alexpkeil1/qgcompint/
Licenses: GPL 2+
Build system: r
Synopsis: Quantile G-Computation Extensions for Effect Measure Modification
Description:

G-computation for a set of time-fixed exposures with quantile-based basis functions, possibly under linearity and homogeneity assumptions. Effect measure modification in this method is a way to assess how the effect of the mixture varies by a binary, categorical or continuous variable. Reference: Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao, and Alexandra J. White (2019) A quantile-based g-computation approach to addressing the effects of exposure mixtures; <doi:10.1289/EHP5838>.

r-quitefastmst 0.9.1
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://quitefastmst.gagolewski.com/
Licenses: AGPL 3
Build system: r
Synopsis: Euclidean and Mutual Reachability Minimum Spanning Trees
Description:

This package provides functions to compute Euclidean minimum spanning trees using single-, sesqui-, and dual-tree Boruvka algorithms. Thanks to K-d trees, they are fast in spaces of low intrinsic dimensionality. Mutual reachability distances (used in the definition of the HDBSCAN* algorithm) are supported too. The package also includes relatively fast fallback minimum spanning tree and nearest-neighbours algorithms for spaces of higher dimensionality. The Python version of quitefastmst is available via PyPI'.

r-qdap 2.4.6.1
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://trinker.github.io/qdap/
Licenses: GPL 2
Build system: r
Synopsis: Bridging the Gap Between Qualitative Data and Quantitative Analysis
Description:

Automates many of the tasks associated with quantitative discourse analysis of transcripts containing discourse including frequency counts of sentence types, words, sentences, turns of talk, syllables and other assorted analysis tasks. The package provides parsing tools for preparing transcript data. Many functions enable the user to aggregate data by any number of grouping variables, providing analysis and seamless integration with other R packages that undertake higher level analysis and visualization of text. This affords the user a more efficient and targeted analysis. qdap is designed for transcript analysis, however, many functions are applicable to other areas of Text Mining/ Natural Language Processing.

r-qtl2fst 0.30
Propagated dependencies: r-qtl2@0.38 r-fst@0.9.8
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/rqtl/qtl2fst
Licenses: GPL 3
Build system: r
Synopsis: Database Storage of Genotype Probabilities for QTL Mapping
Description:

Uses the fst package to store genotype probabilities on disk for the qtl2 package. These genotype probabilities are a central data object for mapping quantitative trait loci (QTL), but they can be quite large. The facilities in this package enable the genotype probabilities to be stored on disk, leading to reduced memory usage with only a modest increase in computation time.

r-quantregglasso 1.0.1
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/egpivo/QuantRegGLasso
Licenses: GPL 2+
Build system: r
Synopsis: Adaptively Weighted Group Lasso for Semiparametric Quantile Regression Models
Description:

This package implements an adaptively weighted group Lasso procedure for simultaneous variable selection and structure identification in varying coefficient quantile regression models and additive quantile regression models with ultra-high dimensional covariates. The methodology, grounded in a strong sparsity condition, establishes selection consistency under certain weight conditions. To address the challenge of tuning parameter selection in practice, a BIC-type criterion named high-dimensional information criterion (HDIC) is proposed. The Lasso procedure, guided by HDIC-determined tuning parameters, maintains selection consistency. Theoretical findings are strongly supported by simulation studies. (Toshio Honda, Ching-Kang Ing, Wei-Ying Wu, 2019, <DOI:10.3150/18-BEJ1091>).

r-quadmesh 0.5.5
Propagated dependencies: r-sp@2.2-0 r-scales@1.4.0 r-reproj@0.7.0 r-raster@3.6-32 r-png@0.1-8 r-palr@0.4.0 r-gridbase@0.4-7 r-geometry@0.5.2
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/hypertidy/quadmesh
Licenses: GPL 3
Build system: r
Synopsis: Quadrangle Mesh
Description:

Create surface forms from matrix or raster data for flexible plotting and conversion to other mesh types. The functions quadmesh or triangmesh produce a continuous surface as a mesh3d object as used by the rgl package. This is used for plotting raster data in 3D (optionally with texture), and allows the application of a map projection without data loss and many processing applications that are restricted by inflexible regular grid rasters. There are discrete forms of these continuous surfaces available with dquadmesh and dtriangmesh functions.

r-quasar 0.2.0
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=quasar
Licenses: GPL 3+
Build system: r
Synopsis: Valid Inference on Multiple Quantile Regressions
Description:

The approach is based on the closed testing procedure to control familywise error rate in a strong sense. The local tests implemented are Wald-type and rank-score. The method is described in De Santis, et al., (2026), <doi:10.48550/arXiv.2511.07999>.

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-quickregression 0.2
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=quickregression
Licenses: GPL 3
Build system: r
Synopsis: Quick Linear Regression
Description:

Helps to perform linear regression analysis by reducing manual effort. Reduces the independent variables based on specified p-value and Variance Inflation Factor (VIF) level.

r-qcewas 1.2-3
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=QCEWAS
Licenses: GPL 3+
Build system: r
Synopsis: Fast and Easy Quality Control of EWAS Results Files
Description:

This package provides tools for (automated and manual) quality control of the results of Epigenome-Wide Association Studies.

r-quantilepeer 0.0.1
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/ahoundetoungan/QuantilePeer
Licenses: GPL 3
Build system: r
Synopsis: Quantile Peer Effect Models
Description:

Simulating and estimating peer effect models including the quantile-based specification (Houndetoungan, 2025 <doi:10.48550/arXiv.2506.12920>), and the models with Constant Elasticity of Substitution (CES)-based social norm (Boucher et al., 2024 <doi:10.3982/ECTA21048>).

r-qtl-gcimapping 3.4
Propagated dependencies: r-stringr@1.6.0 r-readxl@1.4.5 r-rcpp@1.1.0 r-qtl@1.72 r-openxlsx@4.2.8.1 r-mass@7.3-65 r-lars@1.3 r-glmnet@4.1-10 r-foreach@1.5.2 r-doparallel@1.0.17 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=QTL.gCIMapping
Licenses: GPL 2+
Build system: r
Synopsis: QTL Genome-Wide Composite Interval Mapping
Description:

Conduct multiple quantitative trait loci (QTL) and QTL-by-environment interaction (QEI) mapping via ordinary or compressed variance component mixed models with random- or fixed QTL/QEI effects. First, each position on the genome is detected in order to obtain a negative logarithm P-value curve against genome position. Then, all the peaks on each effect (additive or dominant) curve or on each locus curve are viewed as potential main-effect QTLs and QEIs, all their effects are included in a multi-locus model, their effects are estimated by both least angle regression and empirical Bayes (or adaptive lasso) in backcross and F2 populations, and true QTLs and QEIs are identified by likelihood radio test. See Zhou et al. (2022) <doi:10.1093/bib/bbab596> and Wen et al. (2018) <doi:10.1093/bib/bby058>.

r-quickpwcr 1.2
Propagated dependencies: r-rcpp@1.1.0 r-pbmcapply@1.5.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=quickPWCR
Licenses: GPL 3
Build system: r
Synopsis: Quickly Construct and Rate Large Binary Pairwised Comparisons
Description:

This package provides a collection of functions for constructing large pairwised comparisons and rating them using Elo rating system with supporting parallel processing. The method of random sample pairs is based on Reservoir Sampling proposed by JVitter (1985) <doi:10.1145/3147.3165>.

r-qrcm 3.2
Propagated dependencies: r-survival@3.8-3 r-pch@2.2 r-icenreg@2.0.16
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=qrcm
Licenses: GPL 2
Build system: r
Synopsis: Quantile Regression Coefficients Modeling
Description:

Parametric modeling of quantile regression coefficient functions.

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Total results: 69112