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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-refseqr 1.1.5
Propagated dependencies: r-tibble@3.3.0 r-rentrez@1.2.4 r-iranges@2.44.0 r-biostrings@2.78.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/jdieramon/refseqR
Licenses: Expat
Build system: r
Synopsis: Common Computational Operations Working with RefSeq Entries (GenBank)
Description:

Fetches NCBI data (RefSeq <https://www.ncbi.nlm.nih.gov/refseq/> database) and provides an environment to extract information at the level of gene, mRNA or protein accessions.

r-rrepest 1.6.11
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-officer@0.7.1 r-magrittr@2.0.4 r-labelled@2.16.0 r-foreach@1.5.2 r-flextable@0.9.10 r-dplyr@1.1.4 r-doparallel@1.0.17 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Rrepest
Licenses: Expat
Build system: r
Synopsis: An Analyzer of International Large Scale Assessments in Education
Description:

An easy way to analyze international large-scale assessments and surveys in education or any other dataset that includes replicated weights (Balanced Repeated Replication (BRR) weights, Jackknife replicate weights,...) while also allowing for analysis with multiply imputed variables (plausible values). It supports the estimation of univariate statistics (e.g. mean, variance, standard deviation, quantiles), frequencies, correlation, linear regression and any other model already implemented in R that takes a data frame and weights as parameters. It also includes options to prepare the results for publication, following the table formatting standards of the Organization for Economic Cooperation and Development (OECD).

r-rsstest 1.0
Propagated dependencies: r-huxtable@5.8.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RSStest
Licenses: GPL 2
Build system: r
Synopsis: Testing the Equality of Two Means Using RSS and MRSS
Description:

Testing the equality of two means using Ranked Set Sampling and Median Ranked Set Sampling are provided under normal distribution. Data generation functions are also given RSS and MRSS. Also, data generation functions are given under imperfect ranking data for Ranked Set Sampling and Median Ranked Set Sampling. Ozdemir Y.A., Ebegil M., & Gokpinar F. (2019), <doi:10.1007/s40995-018-0558-0> Ozdemir Y.A., Ebegil M., & Gokpinar F. (2017), <doi:10.1080/03610918.2016.1263736>.

r-rgbm 1.0-11
Propagated dependencies: r-plyr@1.8.9 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RGBM
Licenses: GPL 3+
Build system: r
Synopsis: LS-TreeBoost and LAD-TreeBoost for Gene Regulatory Network Reconstruction
Description:

This package provides an implementation of Regularized LS-TreeBoost & LAD-TreeBoost algorithm for Regulatory Network inference from any type of expression data (Microarray/RNA-seq etc).

r-rorqual-morpho 0.1.1
Propagated dependencies: r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rorqual.morpho
Licenses: Expat
Build system: r
Synopsis: Morphological Allometry of Rorquals
Description:

Predicts morphological parameters of rorquals (e.g. body mass, flipper length, maximum engulfment capacity) from body length using allometric equations from Kahane-Rapport and Goldbogen (2018) <doi:10.1002/jmor.20846>.

r-rwinedt 2.0-6
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://www.winedt.com/
Licenses: GPL 2
Build system: r
Synopsis: R Interface to 'WinEdt'
Description:

This package provides a plug in for using WinEdt as an editor for R.

r-rdacca-hp 1.1-1
Propagated dependencies: r-vegan@2.7-2 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/laijiangshan/rdacca.hp
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Hierarchical and Variation Partitioning for Canonical Analysis
Description:

This function conducts variation partitioning and hierarchical partitioning to calculate the unique, shared (referred as to "common") and individual contributions of each predictor (or matrix) towards explained variation (R-square and adjusted R-square) on canonical analysis (RDA,CCA and db-RDA), applying the algorithm of Lai J.,Zou Y., Zhang J.,Peres-Neto P.(2022) Generalizing hierarchical and variation partitioning in multiple regression and canonical analyses using the rdacca.hp R package.Methods in Ecology and Evolution,13: 782-788 <DOI:10.1111/2041-210X.13800>.

r-rqlm 4.3-1
Propagated dependencies: r-sandwich@3.1-1 r-nnet@7.3-20 r-mice@3.18.0 r-mass@7.3-65 r-lme4@1.1-37
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rqlm
Licenses: GPL 3
Build system: r
Synopsis: Modified Poisson Regression for Binary Outcome and Related Methods
Description:

Modified Poisson, logistic and least-squares regression analyses for binary outcomes of Zou (2004) <doi:10.1093/aje/kwh090>, Noma (2025)<Forthcoming>, and Cheung (2007) <doi:10.1093/aje/kwm223> have been standard multivariate analysis methods to estimate risk ratio and risk difference in clinical and epidemiological studies. This R package involves an easy-to-handle function to implement these analyses by simple commands. Missing data analysis tools (multiple imputation) are also involved. In addition, recent studies have shown the ordinary robust variance estimator possibly has serious bias under small or moderate sample size situations for these methods. This package also provides computational tools to calculate alternative accurate confidence intervals.

r-robsel 0.1.0
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-glasso@1.11
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=robsel
Licenses: GPL 2
Build system: r
Synopsis: Robust Selection Algorithm
Description:

An implementation of algorithms for estimation of the graphical lasso regularization parameter described in Pedro Cisneros-Velarde, Alexander Petersen and Sang-Yun Oh (2020) <http://proceedings.mlr.press/v108/cisneros20a.html>.

r-r-temis 0.1.4
Propagated dependencies: r-wordcloud@2.6 r-tm-plugin-lexisnexis@1.4.2 r-tm-plugin-factiva@1.8.1 r-tm-plugin-europresse@1.4.1 r-tm-plugin-alceste@1.1.2 r-tm@0.7-16 r-stringi@1.8.7 r-snowballc@0.7.1 r-slam@0.1-55 r-nlp@0.3-2 r-igraph@2.2.1 r-factominer@2.12 r-explor@0.3.10 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/nalimilan/R.TeMiS
Licenses: GPL 2+
Build system: r
Synopsis: Integrated Text Mining Solution
Description:

An integrated solution to perform a series of text mining tasks such as importing and cleaning a corpus, and analyses like terms and documents counts, lexical summary, terms co-occurrences and documents similarity measures, graphs of terms, correspondence analysis and hierarchical clustering. Corpora can be imported from spreadsheet-like files, directories of raw text files, as well as from Dow Jones Factiva', LexisNexis', Europresse and Alceste files.

r-rlab 4.5.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://www.r-project.org
Licenses: GPL 2+
Build system: r
Synopsis: Functions and Datasets Required for ST370 Class
Description:

This package provides functions and datasets required for the ST 370 course at North Carolina State University.

r-rcoletum 0.2.2
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/geo-sapiens/RColetum
Licenses: LGPL 3
Build system: r
Synopsis: Access your Coletum's Data from API
Description:

Get your data (forms, structures, answers) from Coletum <https://coletum.com> to handle and analyse.

r-rtlr 0.1.0
Propagated dependencies: r-stringr@1.6.0 r-lifecycle@1.0.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/matanhakim/rtlr
Licenses: Expat
Build system: r
Synopsis: Print Right-to-Left Languages Correctly
Description:

Convenience functions to make some common tasks with right-to-left string printing easier, more convenient and with no need to remember long Unicode characters. Specifically helpful for right-to-left languages such as Arabic, Persian and Hebrew.

r-rawhummus 0.3.3
Propagated dependencies: r-shinymatrix@0.8.0 r-shinydashboardplus@2.0.6 r-shinydashboard@0.7.3 r-shinycustomloader@0.9.0 r-shiny@1.11.1 r-rmarkdown@2.30 r-rcolorbrewer@1.1-3 r-rams@1.4.3 r-purrr@1.2.0 r-plotly@4.11.0 r-markdown@2.0 r-kableextra@1.4.0 r-golem@0.5.1 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-data-table@1.17.8 r-config@0.3.2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RawHummus
Licenses: Expat
Build system: r
Synopsis: Raw Data Quality Control Tool for LC-MS System
Description:

Assess LCâ MS system performance by visualizing instrument log files and monitoring raw quality control samples within a project.

r-roots 1.0
Propagated dependencies: r-rarpack@0.11-0 r-igraph@2.2.1 r-animation@2.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=roots
Licenses: GPL 2+
Build system: r
Synopsis: Reconstructing Ordered Ontogenic Trajectories
Description:

This package provides a set of tools to reconstruct ordered ontogenic trajectories from single cell RNAseq data.

r-rwbo 0.1.2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Rwbo
Licenses: GPL 3+
Build system: r
Synopsis: Run the 'Open-WBO' MaxSAT Solver
Description:

This package provides a wrapper for running the bundled Open-WBO Maximum Satisfiability (MaxSAT) solver (<https://github.com/sat-group/open-wbo>). Users can pass command-line arguments to the solver and capture its output as a character string or file.

r-roracle 1.5-1
Propagated dependencies: r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://www.oracle.com
Licenses: LGPL 2.0+
Build system: r
Synopsis: OCI Based Oracle Database Interface for R
Description:

Oracle Database interface (DBI) driver for R. This is a DBI-compliant Oracle driver based on the OCI.

r-rmixtcompio 4.0.11
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-foreach@1.5.2 r-doparallel@1.0.17 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/modal-inria/MixtComp
Licenses: AGPL 3
Build system: r
Synopsis: Minimal Interface of the C++ 'MixtComp' Library for Mixture Models with Heterogeneous and (Partially) Missing Data
Description:

Mixture Composer <https://github.com/modal-inria/MixtComp> is a project to build mixture models with heterogeneous data sets and partially missing data management. It includes models for real, categorical, counting, functional and ranking data. This package contains the minimal R interface of the C++ MixtComp library.

r-raybevel 0.2.2
Propagated dependencies: r-sf@1.0-23 r-rcppthread@2.2.0 r-rcppcgal@6.1 r-rcpp@1.1.0 r-rayvertex@0.12.0 r-progress@1.2.3 r-digest@0.6.39 r-decido@0.4.0 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://www.raybevel.com
Licenses: GPL 3
Build system: r
Synopsis: Generates Polygon Straight Skeletons and 3D Bevels
Description:

Generates polygon straight skeletons and 3D models. Provides functions to create and visualize interior polygon offsets, 3D beveled polygons, and 3D roof models.

r-rangr 1.0.9
Propagated dependencies: r-zoo@1.8-14 r-terra@1.8-86 r-pbapply@1.7-4 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/ropensci/rangr
Licenses: Expat
Build system: r
Synopsis: Mechanistic Simulation of Species Range Dynamics
Description:

Integrates population dynamics and dispersal into a mechanistic virtual species simulator. The package can be used to study the effects of environmental change on population growth and range shifts. It allows for simple and straightforward definition of population dynamics (including positive density dependence), extensive possibilities for defining dispersal kernels, and the ability to generate virtual ecologist data. Learn more about the rangr at <https://docs.ropensci.org/rangr/>. This work was supported by the National Science Centre, Poland, grant no. 2018/29/B/NZ8/00066 and the PoznaÅ Supercomputing and Networking Centre (grant no. pl0090-01).

r-rcali 0.3.7
Propagated dependencies: r-splancs@2.01-45
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://gitlab.paca.inrae.fr/biosp/RCALI
Licenses: GPL 3
Build system: r
Synopsis: Calculation of the Integrated Flow of Particles Between Polygons
Description:

Calculate the flow of particles between polygons by two integration methods: integration by a cubature method and integration on a grid of points. Annie Bouvier, Kien Kieu, Kasia Adamczyk and Herve Monod (2009) <doi:10.1016/j.envsoft.2008.11.006>.

r-rsurveycto 0.2.4
Propagated dependencies: r-withr@3.0.2 r-vctrs@0.6.5 r-rlang@1.1.6 r-readxl@1.4.5 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-glue@1.8.0 r-data-table@1.17.8 r-curl@7.0.0 r-cli@3.6.5 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://agency-fund.github.io/rsurveycto/
Licenses: Expat
Build system: r
Synopsis: Interact with Data on 'SurveyCTO'
Description:

SurveyCTO is a platform for mobile data collection in offline settings. The rsurveycto R package uses the SurveyCTO REST API <https://docs.surveycto.com/05-exporting-and-publishing-data/05-api-access/01.api-access.html> to read datasets and forms from a SurveyCTO server into R as data.table's and to download file attachments. The package also has limited support to write datasets to a server.

r-riskscorescvd 0.3.1
Propagated dependencies: r-pooledcohort@0.0.2 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/dvicencio/RiskScorescvd
Licenses: Expat
Build system: r
Synopsis: Cardiovascular Risk Scores Calculator
Description:

This package provides a tool to calculate Cardiovascular Risk Scores in large data frames as published in Perez-Vicencio, et al (2024) <doi:10.1136/openhrt-2024-002755>. Cardiovascular risk scores are statistical tools used to assess an individual's likelihood of developing a cardiovascular disease based on various risk factors, such as age, gender, blood pressure, cholesterol levels, and smoking. Here we bring together the six most commonly used in the emergency department. Using RiskScorescvd', you can calculate all the risk scores in an extended dataset in seconds. PCE (ASCVD) described in Goff, et al (2013) <doi:10.1161/01.cir.0000437741.48606.98>. EDACS described in Mark DG, et al (2016) <doi:10.1016/j.jacc.2017.11.064>. GRACE described in Fox KA, et al (2006) <doi:10.1136/bmj.38985.646481.55>. HEART is described in Mahler SA, et al (2017) <doi:10.1016/j.clinbiochem.2017.01.003>. SCORE2/OP described in SCORE2 working group and ESC Cardiovascular risk collaboration (2021) <doi:10.1093/eurheartj/ehab309>. TIMI described in Antman EM, et al (2000) <doi:10.1001/jama.284.7.835>. SCORE2-Diabetes described in SCORE2-Diabetes working group and ESC Cardiovascular risk collaboration (2023) <doi:10.1093/eurheartj/ehab260>. SCORE2/OP with CKD add-on described in Kunihiro M et al (2022) <doi:10.1093/eurjpc/zwac176>.

r-ream 1.0-10
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/RaphaelHartmann/ream
Licenses: GPL 2+
Build system: r
Synopsis: Density, Distribution, and Sampling Functions for Evidence Accumulation Models
Description:

Calculate the probability density functions (PDFs) for two threshold evidence accumulation models (EAMs). These are defined using the following Stochastic Differential Equation (SDE), dx(t) = v(x(t),t)*dt+D(x(t),t)*dW, where x(t) is the accumulated evidence at time t, v(x(t),t) is the drift rate, D(x(t),t) is the noise scale, and W is the standard Wiener process. The boundary conditions of this process are the upper and lower decision thresholds, represented by b_u(t) and b_l(t), respectively. Upper threshold b_u(t) > 0, while lower threshold b_l(t) < 0. The initial condition of this process x(0) = z where b_l(t) < z < b_u(t). We represent this as the relative start point w = z/(b_u(0)-b_l(0)), defined as a ratio of the initial threshold location. This package generates the PDF using the same approach as the python package it is based upon, PyBEAM by Murrow and Holmes (2023) <doi:10.3758/s13428-023-02162-w>. First, it converts the SDE model into the forwards Fokker-Planck equation dp(x,t)/dt = d(v(x,t)*p(x,t))/dt-0.5*d^2(D(x,t)^2*p(x,t))/dx^2, then solves this equation using the Crank-Nicolson method to determine p(x,t). Finally, it calculates the flux at the decision thresholds, f_i(t) = 0.5*d(D(x,t)^2*p(x,t))/dx evaluated at x = b_i(t), where i is the relevant decision threshold, either upper (i = u) or lower (i = l). The flux at each thresholds f_i(t) is the PDF for each threshold, specifically its PDF. We discuss further details of this approach in this package and PyBEAM publications. Additionally, one can calculate the cumulative distribution functions of and sampling from the EAMs.

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