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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-qploidy 1.0.1
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/Cristianetaniguti/Qploidy
Licenses: AGPL 3+
Build system: r
Synopsis: Estimation of Ploidy and Detection of Aneuploidy Using Genotyping Data
Description:

This package provides functions for estimating ploidy levels and detecting aneuploidy in individuals using allele intensities or allele count data from high-throughput genotyping platforms, including single nucleotide polymorphism (SNP) arrays and sequencing-based technologies. Implements an extended version of the PennCNV signal standardization method by Wang et al. (2007) <doi:10.1101/gr.6861907> for higher ploidy levels. Computes B-allele frequencies (BAF), z-scores, and identifies copy number variation patterns.

r-qrnlmm 4.0
Propagated dependencies: r-quantreg@6.1 r-psych@2.5.6 r-progress@1.2.3 r-mvtnorm@1.3-3 r-lqr@5.2 r-ald@1.3.1
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=qrNLMM
Licenses: GPL 2+
Build system: r
Synopsis: Quantile Regression for Nonlinear Mixed-Effects Models
Description:

Quantile regression (QR) for Nonlinear Mixed-Effects Models via the asymmetric Laplace distribution (ALD). It uses the Stochastic Approximation of the EM (SAEM) algorithm for deriving exact maximum likelihood estimates and full inference result is for the fixed-effects and variance components. It also provides prediction and graphical summaries for assessing the algorithm convergence and fitting results.

r-qsimulatr 1.1.1
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/HISKP-LQCD/qsimulatR
Licenses: GPL 3
Build system: r
Synopsis: Quantum Computer Simulator
Description:

This package provides a quantum computer simulator framework with up to 24 qubits. It allows to define general single qubit gates and general controlled single qubit gates. For convenience, it currently provides the most common gates (X, Y, Z, H, Z, S, T, Rx, Ry, Rz, CNOT, SWAP, Toffoli or CCNOT, Fredkin or CSWAP). qsimulatR also implements noise models. qsimulatR supports plotting of circuits and is able to export circuits to Qiskit <https://qiskit.org/>, a python package which can be used to run on IBM's hardware <https://quantum-computing.ibm.com/>.

r-qbms 2.0.0
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://icarda.github.io/QBMS/
Licenses: GPL 3+
Build system: r
Synopsis: Query the Breeding Management System(s)
Description:

This R package assists breeders in linking data systems with their analytic pipelines, a crucial step in digitizing breeding processes. It supports querying and retrieving phenotypic and genotypic data from systems like EBS <https://ebs.excellenceinbreeding.org/>, BMS <https://bmspro.io>, BreedBase <https://breedbase.org>, GIGWA <https://github.com/SouthGreenPlatform/Gigwa2> (using BrAPI <https://brapi.org> calls), , and Germinate <https://germinateplatform.github.io/get-germinate/>. Extra helper functions support environmental data sources, including TerraClimate <https://www.climatologylab.org/terraclimate.html> and FAO HWSDv2 <https://gaez.fao.org/pages/hwsd> soil database.

r-quiddich 1.0.0
Propagated dependencies: r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=quiddich
Licenses: GPL 3
Build system: r
Synopsis: QUick IDentification of DIagnostic CHaracters
Description:

This package provides tools for an automated identification of diagnostic molecular characters, i.e. such columns in a given nucleotide or amino acid alignment that allow to distinguish taxa from each other. These characters can then be used to complement the formal descriptions of the taxa, which are often based on morphological and anatomical features. Especially for morphologically cryptic species, this will be helpful. QUIDDICH distinguishes between four different types of diagnostic characters. For more information, see "Kuehn, A.L., Haase, M. 2019. QUIDDICH: QUick IDentification of DIagnostic CHaracters.".

r-qrcmnp 0.2.2
Propagated dependencies: r-survival@3.8-3 r-qrcm@3.2
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=qrcmNP
Licenses: GPL 2
Build system: r
Synopsis: Nonlinear and Penalized Quantile Regression Coefficients Modeling
Description:

Nonlinear and Penalized parametric modeling of quantile regression coefficient functions. Sottile G, Frumento P, Chiodi M and Bottai M (2020) <doi:10.1177/1471082X19825523>.

r-qtl2pattern 1.2.1
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/byandell/qtl2pattern
Licenses: GPL 3
Build system: r
Synopsis: Pattern Support for 'qtl2' Package
Description:

Routines in qtl2 to study allele patterns in quantitative trait loci (QTL) mapping over a chromosome. Useful in crosses with more than two alleles to identify how sets of alleles, genetically different strands at the same locus, have different response levels. Plots show profiles over a chromosome. Can handle multiple traits together. See <https://github.com/byandell/qtl2pattern>.

r-qoi 0.1.0
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/JohannesFriedrich/qoi4R
Licenses: Expat
Build system: r
Synopsis: Read and Write QOI Images
Description:

The new QOI file format offers a very simple but efficient image compression algorithm. This package provides an easy and simple way to read, write and display bitmap images stored in the QOI (Quite Ok Image) format. It can read and write both files and in-memory raw vectors.

r-qslice 0.3.1
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=qslice
Licenses: Expat ASL 2.0
Build system: r
Synopsis: Implementations of Various Slice Samplers
Description:

Implementations of the quantile slice sampler of Heiner et al. (2024+, in preparation) as well as other popular slice samplers are provided. Helper functions for specifying pseudo-target distributions are included, both for diagnostics and for tuning the quantile slice sampler. Other implemented methods include the generalized elliptical slice sampler of Nishihara et al. (2014)<https://jmlr.org/papers/v15/nishihara14a.html

r-qcapower 0.1.0
Propagated dependencies: r-ggplot2@4.0.1 r-ggforce@0.5.0 r-devtools@2.4.6
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/ingorohlfing/qcapower
Licenses: GPL 3
Build system: r
Synopsis: Estimate Power and Required Sample Size in QCA
Description:

Researchers working with Qualitative Comparative Analysis (QCA) can use the package to estimate power of a sufficient term using permutation tests. A term can be anything: A condition, conjunction or disjunction of any combination of these. The package further allows users to plot the estimation results and to estimate the number of cases required to achieve a certain level of power, given a prespecified null and alternative hypothesis. Reference for the article introducing power estimation for QCA is: Rohlfing, Ingo (2018) <doi:10.1017/pan.2017.30> (ungated version: <doi:10.17605/OSF.IO/PC4DF>).

r-quanteda-textmodels 0.9.10
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/quanteda/quanteda.textmodels
Licenses: GPL 3
Build system: r
Synopsis: Scaling Models and Classifiers for Textual Data
Description:

Scaling models and classifiers for sparse matrix objects representing textual data in the form of a document-feature matrix. Includes original implementations of Laver', Benoit', and Garry's (2003) <doi:10.1017/S0003055403000698>, Wordscores model, the Perry and Benoit (2017) <doi:10.48550/arXiv.1710.08963> class affinity scaling model, and the Slapin and Proksch (2008) <doi:10.1111/j.1540-5907.2008.00338.x> wordfish model, as well as methods for correspondence analysis, latent semantic analysis, and fast Naive Bayes and linear SVMs specially designed for sparse textual data.

r-qdaptools 1.3.7
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/trinker/qdapTools
Licenses: GPL 2
Build system: r
Synopsis: Tools for the 'qdap' Package
Description:

This package provides a collection of tools associated with the qdap package that may be useful outside of the context of text analysis.

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-qicharts2 0.8.1
Propagated dependencies: r-scales@1.4.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/anhoej/qicharts2
Licenses: GPL 3
Build system: r
Synopsis: Quality Improvement Charts
Description:

This package provides functions for making run charts, Shewhart control charts and Pareto charts for continuous quality improvement. Included control charts are: I, MR, Xbar, S, T, C, U, U', P, P', and G charts. Non-random variation in the form of minor to moderate persistent shifts in data over time is identified by the Anhoej rules for unusually long runs and unusually few crossing [Anhoej, Olesen (2014) <doi:10.1371/journal.pone.0113825>]. Non-random variation in the form of larger, possibly transient, shifts is identified by Shewhart's 3-sigma rule [Mohammed, Worthington, Woodall (2008) <doi:10.1136/qshc.2004.012047>].

r-quadraticsd 0.1.0
Propagated dependencies: r-shiny@1.11.1 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=quadraticSD
Licenses: GPL 3
Build system: r
Synopsis: Visualizing the SD using a Quadratic Curve
Description:

Given a dataset, the user is invited to utilize the Empirical Cumulative Distribution Function (ECDF) to guess interactively the mean and the mean deviation. Thereafter, using the quadratic curve the user can guess the Root Mean Squared Deviation (RMSD) and visualize the standard deviation (SD). For details, see Sarkar and Rashid (2019)<doi:10.3126/njs.v3i0.25574>, Have You Seen the Standard Deviaton?, Nepalese Journal of Statistics, Vol. 3, 1-10.

r-qsub 1.1.3
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/rcannood/qsub
Licenses: GPL 3
Build system: r
Synopsis: Running Commands Remotely on 'Gridengine' Clusters
Description:

Run lapply() calls in parallel by submitting them to gridengine clusters using the qsub command.

r-qhot 0.1.0
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=QHOT
Licenses: GPL 3+
Build system: r
Synopsis: QTL Hotspot Detection
Description:

This function produces both the numerical and graphical summaries of the QTL hotspot detection in the genomes that are available on the worldwide web including the flanking markers of QTLs.

r-qape 2.1
Propagated dependencies: r-reshape2@1.4.5 r-plyr@1.8.9 r-mvtnorm@1.3-3 r-matrixcalc@1.0-6 r-matrix@1.7-4 r-lme4@1.1-37 r-future-apply@1.20.0 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=qape
Licenses: GPL 2
Build system: r
Synopsis: Quantile of Absolute Prediction Errors
Description:

Estimates QAPE using bootstrap procedures. The residual, parametric and double bootstrap is used. The test of normality using Cholesky decomposition is added. Y pop is defined.

r-qripkg 0.2.2
Propagated dependencies: r-quantreg@6.1 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=QRIpkg
Licenses: GPL 2+
Build system: r
Synopsis: Quantile Regression Index Score
Description:

The QRI_func() function performs quantile regression analysis using age and sex as predictors to calculate the Quantile Regression Index (QRI) score for each individualâ s regional brain imaging metrics and then averages across the regional scores to generate an average tissue specific score for each subject. The QRI_plot() is used to plot QRI and generate the normative curves for individual measurements.

r-qch 2.1.2
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=qch
Licenses: GPL 3
Build system: r
Synopsis: Query Composite Hypotheses
Description:

This package provides functions for the joint analysis of Q sets of p-values obtained for the same list of items. This joint analysis is performed by querying a composite hypothesis, i.e. an arbitrary complex combination of simple hypotheses, as described in Mary-Huard et al. (2021) <doi:10.1093/bioinformatics/btab592> and De Walsche et al.(2025) <doi: 10.1093/nargab/lqaf118>. In this approach, the Q-uplet of p-values associated with each item is distributed as a multivariate mixture, where each of the 2^Q components corresponds to a specific combination of simple hypotheses. The dependence between the p-value series is considered using a Gaussian copula function. A p-value for the composite hypothesis test is derived from the posterior probabilities.

r-queuecomputer 1.2.0
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/AnthonyEbert/queuecomputer
Licenses: GPL 2 FSDG-compatible
Build system: r
Synopsis: Computationally Efficient Queue Simulation
Description:

Implementation of a computationally efficient method for simulating queues with arbitrary arrival and service times. Please see Ebert, Wu, Mengersen & Ruggeri (2020, <doi:10.18637/jss.v095.i05>) for further details.

r-qte 1.3.1
Propagated dependencies: r-texreg@1.39.5 r-quantreg@6.1 r-pbapply@1.7-4 r-hmisc@5.2-4 r-ggplot2@4.0.1 r-formula-tools@1.7.1 r-data-table@1.17.8 r-bmisc@1.4.8
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=qte
Licenses: GPL 2
Build system: r
Synopsis: Quantile Treatment Effects
Description:

This package provides several methods for computing the Quantile Treatment Effect (QTE) and Quantile Treatment Effect on the Treated (QTT). The main cases covered are (i) Treatment is randomly assigned, (ii) Treatment is as good as randomly assigned after conditioning on some covariates (also called conditional independence or selection on observables) using the methods developed in Firpo (2007) <doi:10.1111/j.1468-0262.2007.00738.x>, (iii) Identification is based on a Difference in Differences assumption (several varieties are available in the package e.g. Athey and Imbens (2006) <doi:10.1111/j.1468-0262.2006.00668.x> Callaway and Li (2019) <doi:10.3982/QE935>, Callaway, Li, and Oka (2018) <doi:10.1016/j.jeconom.2018.06.008>).

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-quanteda-textstats 0.97.2
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://quanteda.io
Licenses: GPL 3
Build system: r
Synopsis: Textual Statistics for the Quantitative Analysis of Textual Data
Description:

Textual statistics functions formerly in the quanteda package. Textual statistics for characterizing and comparing textual data. Includes functions for measuring term and document frequency, the co-occurrence of words, similarity and distance between features and documents, feature entropy, keyword occurrence, readability, and lexical diversity. These functions extend the quanteda package and are specially designed for sparse textual data.

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