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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-qpcrhelper 0.1.0
Propagated dependencies: r-rstatix@0.7.3 r-magrittr@2.0.4 r-ggpubr@0.6.2 r-ggplot2@4.0.1 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=qPCRhelper
Licenses: GPL 3
Build system: r
Synopsis: qPCR Ct Values to Expression Values
Description:

Computes normalized cycle threshold (Ct) values (delta Ct) from raw quantitative polymerase chain reaction (qPCR) Ct values and conducts test of significance using t.test(). Plots expression values based from log2(2^(-1*delta delta Ct)) across groups per gene of interest. Methods for calculation of delta delta Ct and relative expression (2^(-1*delta delta Ct)) values are described in: Livak & Schmittgen, (2001) <doi:10.1006/meth.2001.1262>.

r-quantileda 1.2
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=quantileDA
Licenses: GPL 3
Build system: r
Synopsis: Quantile Classifier
Description:

Code for centroid, median and quantile classifiers.

r-qbms 2.0.0
Propagated dependencies: r-terra@1.8-86 r-rsqlite@2.4.4 r-rnetcdf@2.11-1 r-jsonlite@2.0.0 r-httr2@1.2.1 r-future-apply@1.20.0 r-future@1.68.0 r-dbi@1.2.3
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-quanteda-textstats 0.97.2
Propagated dependencies: r-stringi@1.8.7 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-quanteda@4.3.1 r-proxyc@0.5.2 r-nsyllable@1.0.1 r-matrix@1.7-4
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.

r-qindex-data 0.1.3
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=Qindex.data
Licenses: GPL 2
Build system: r
Synopsis: Data for Package 'Qindex'
Description:

Example data used in package Qindex'.

r-qrnn 2.1.1
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=qrnn
Licenses: GPL 2
Build system: r
Synopsis: Quantile Regression Neural Network
Description:

Fit quantile regression neural network models with optional left censoring, partial monotonicity constraints, generalized additive model constraints, and the ability to fit multiple non-crossing quantile functions following Cannon (2011) <doi:10.1016/j.cageo.2010.07.005> and Cannon (2018) <doi:10.1007/s00477-018-1573-6>.

r-quantcurves 1.0.0
Propagated dependencies: r-quantreggrowth@1.7-2 r-quantreg@6.1 r-np@0.60-18 r-locpol@0.9.0 r-kernsmooth@2.23-26
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=quantCurves
Licenses: CeCILL
Build system: r
Synopsis: Estimate Quantiles Curves
Description:

Non-parametric methods as local normal regression, polynomial local regression and penalized cubic B-splines regression are used to estimate quantiles curves. See Fan and Gijbels (1996) <doi:10.1201/9780203748725> and Perperoglou et al.(2019) <doi:10.1186/s12874-019-0666-3>.

r-qcrlscr 0.1.3
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/wanchanglin/qcrlscR
Licenses: GPL 2+
Build system: r
Synopsis: Quality Control–based Robust LOESS Signal Correction
Description:

An R implementation of quality controlâ based robust LOESS(local polynomial regression fitting) signal correction for metabolomics data analysis, described in Dunn, W., Broadhurst, D., Begley, P. et al. (2011) <doi:10.1038/nprot.2011.335>. The optimisation of LOESS's span parameter using generalized cross-validation (GCV) is provided as an option. In addition to signal correction, qcrlscR includes some utility functions like batch shifting and data filtering.

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-quantregglasso 1.0.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-ggplot2@4.0.1
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-qrmix 0.9.0
Propagated dependencies: r-quantreg@6.1 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=qrmix
Licenses: LGPL 2.0+
Build system: r
Synopsis: Quantile Regression Mixture Models
Description:

This package implements the robust algorithm for fitting finite mixture models based on quantile regression proposed by Emir et al., 2017 (unpublished).

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-qdiabetes 1.0-2
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/Feakster/qdiabetes
Licenses: FSDG-compatible
Build system: r
Synopsis: Type 2 Diabetes Risk Calculator
Description:

Calculate the risk of developing type 2 diabetes using risk prediction algorithms derived by ClinRisk'.

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-queueing 0.2.12
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://www.r-project.org
Licenses: GPL 2
Build system: r
Synopsis: Analysis of Queueing Networks and Models
Description:

It provides versatile tools for analysis of birth and death based Markovian Queueing Models and Single and Multiclass Product-Form Queueing Networks. It implements M/M/1, M/M/c, M/M/Infinite, M/M/1/K, M/M/c/K, M/M/c/c, M/M/1/K/K, M/M/c/K/K, M/M/c/K/m, M/M/Infinite/K/K, Multiple Channel Open Jackson Networks, Multiple Channel Closed Jackson Networks, Single Channel Multiple Class Open Networks, Single Channel Multiple Class Closed Networks and Single Channel Multiple Class Mixed Networks. Also it provides a B-Erlang, C-Erlang and Engset calculators. This work is dedicated to the memory of D. Sixto Rios Insua.

r-quarrint 1.0.0
Propagated dependencies: r-neuralnet@1.44.2
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/jojo-/quarrint
Licenses: GPL 2
Build system: r
Synopsis: Interaction Prediction Between Groundwater and Quarry Extension Using Discrete Choice Models and Artificial Neural Networks
Description:

An implementation of two interaction indices between extractive activity and groundwater resources based on hazard and vulnerability parameters used in the assessment of natural hazards. One index is based on a discrete choice model and the other is relying on an artificial neural network.

r-qcc 2.7
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/luca-scr/qcc
Licenses: GPL 2+
Build system: r
Synopsis: Quality Control Charts
Description:

Shewhart quality control charts for continuous, attribute and count data. Cusum and EWMA charts. Operating characteristic curves. Process capability analysis. Pareto chart and cause-and-effect chart. Multivariate control charts.

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-qtlbook 0.20
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://rqtl.org/book/
Licenses: GPL 3
Build system: r
Synopsis: Datasets for the R/qtl Book
Description:

Datasets for the book, A Guide to QTL Mapping with R/qtl. Broman and Sen (2009) <doi:10.1007/978-0-387-92125-9>.

r-qcqpcr 1.5
Propagated dependencies: 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=qcQpcr
Licenses: Expat
Build system: r
Synopsis: Histone ChIP-Seq qPCR Analyzer
Description:

Quality control of chromatin immunoprecipitation libraries (ChIP-seq) by quantitative polymerase chain reaction (qPCR). This function calculates Enrichment value with respect to reference for each histone modification (specific to Vii7 software <http://www.thermofisher.com/ca/en/home/life-science/pcr/real-time-pcr/real-time-pcr-instruments/viia-7-real-time-pcr-system/viia-7-software.html>). This function is applicable to full panel of histone modifications described by International Human Epigenomic Consortium (IHEC).

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.

r-qualvar 0.2.0
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: http://joelgombin.github.io/qualvar/
Licenses: GPL 3
Build system: r
Synopsis: Implements Indices of Qualitative Variation Proposed by Wilcox (1973)
Description:

This package implements indices of qualitative variation proposed by Wilcox (1973).

r-quantbondcurves 0.3.2
Propagated dependencies: r-rsolnp@2.0.1 r-quantdates@2.0.4 r-lubridate@1.9.4
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://cran.r-project.org/package=QuantBondCurves
Licenses: GPL 3+
Build system: r
Synopsis: Calculates Bond Values and Interest Rate Curves for Finance
Description:

Values different types of assets and calibrates discount curves for quantitative financial analysis. It covers fixed coupon assets, floating note assets, interest and cross currency swaps with different payment frequencies. Enables the calibration of spot, instantaneous forward and basis curves, making it a powerful tool for accurate and flexible bond valuation and curve generation. The valuation and calibration techniques presented here are consistent with industry standards and incorporates author's own calculations. Tuckman, B., Serrat, A. (2022, ISBN: 978-1-119-83555-4).

r-qcba 1.0.2
Dependencies: openjdk@25
Propagated dependencies: r-rjava@1.0-11 r-arulescba@1.2.9 r-arules@1.7-11 r-arc@1.4.2
Channel: guix-cran
Location: guix-cran/packages/q.scm (guix-cran packages q)
Home page: https://github.com/kliegr/QCBA
Licenses: GPL 3
Build system: r
Synopsis: Postprocessing of Rule Classification Models Learnt on Quantized Data
Description:

This package implements the Quantitative Classification-based on Association Rules (QCBA) algorithm (<doi:10.1007/s10489-022-04370-x>). QCBA postprocesses rule classification models making them typically smaller and in some cases more accurate. Supported are CBA implementations from rCBA', arulesCBA and arc packages, and CPAR', CMAR', FOIL2 and PRM implementations from arulesCBA package and SBRL implementation from the sbrl package. The result of the post-processing is an ordered CBA-like rule list.

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Total results: 68655