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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-pubchem-bio 1.0.5
Propagated dependencies: r-stringr@1.6.0 r-rsqlite@2.4.4 r-rcdk@3.8.2 r-r-utils@2.13.0 r-metabocoreutils@1.18.1 r-magrittr@2.0.4 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17 r-data-table@1.17.8 r-curl@7.0.0 r-chnosz@2.2.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pubchem.bio
Licenses: GPL 3
Build system: r
Synopsis: Biologically Informed Metabolomic Libraries from 'PubChem'
Description:

All PubChem compounds are downloaded to a local computer, but for each compound, only partial records are used. The data are organized into small files referenced by PubChem CID. This package also contains functions to parse the biologically relevant compounds from all PubChem compounds, using biological database sources, pathway presence, and taxonomic relationships. Taxonomy is used to generate a lowest common ancestor taxonomy ID (NCBI) for each biological metabolite, which then enables creation of taxonomically specific metabolome databases for any taxon.

r-pgdraw 1.1
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pgdraw
Licenses: GPL 3+
Build system: r
Synopsis: Generate Random Samples from the Polya-Gamma Distribution
Description:

Generates random samples from the Polya-Gamma distribution using an implementation of the algorithm described in J. Windle's PhD thesis (2013) <https://repositories.lib.utexas.edu/bitstream/handle/2152/21842/WINDLE-DISSERTATION-2013.pdf>. The underlying implementation is in C.

r-polarcap 1.0.1
Propagated dependencies: r-tidyr@1.3.1 r-countrycode@1.6.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/imehlhaff/PolarCAP
Licenses: CC0
Build system: r
Synopsis: Access the Polarization in Comparative Attitudes Project
Description:

Distributes data from the Polarization in Comparative Attitudes Project. Helper functions enable data retrieval in wide and tidy formats for user-defined countries and years. Provides support for case-insensitive country names in many languages. Mehlhaff (2022) <https://imehlhaff.net/files/Polarization%20and%20Democracy.pdf>.

r-pvstatem 0.2.2
Propagated dependencies: r-svglite@2.2.2 r-stringr@1.6.0 r-stringi@1.8.7 r-scales@1.4.0 r-readxl@1.4.5 r-readr@2.1.6 r-r6@2.6.1 r-r-utils@2.13.0 r-png@0.1-8 r-nplr@0.1-8 r-lubridate@1.9.4 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-fs@1.6.6 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/mini-pw/PvSTATEM
Licenses: Modified BSD
Build system: r
Synopsis: Reading, Quality Control and Preprocessing of MBA (Multiplex Bead Assay) Data
Description:

Speeds up the process of loading raw data from MBA (Multiplex Bead Assay) examinations, performs quality control checks, and automatically normalises the data, preparing it for more advanced, downstream tasks. The main objective of the package is to create a simple environment for a user, who does not necessarily have experience with R language. The package is developed within the project of the same name - PvSTATEM', which is an international project aiming for malaria elimination.

r-pixarfilms 0.2.1
Propagated dependencies: r-tibble@3.3.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/erictleung/pixarfilms
Licenses: CC0
Build system: r
Synopsis: Pixar Films and Achievements
Description:

Data about Disney Pixar films provided by Wikipedia. This package contains data about the films, the people involved, and their awards.

r-phytoclass 2.3.1
Propagated dependencies: r-tidyr@1.3.1 r-rcppml@0.3.7 r-progress@1.2.3 r-ggplot2@4.0.1 r-dynamictreecut@1.63-1 r-bestnormalize@1.9.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/phytoclass/phytoclass/
Licenses: Expat
Build system: r
Synopsis: Estimate Chla Concentrations of Phytoplankton Groups
Description:

Determine the chlorophyll a (Chl a) concentrations of different phytoplankton groups based on their pigment biomarkers. The method uses non-negative matrix factorisation and simulated annealing to minimise error between the observed and estimated values of pigment concentrations (Hayward et al. (2023) <doi:10.1002/lom3.10541>). The approach is similar to the widely used CHEMTAX program (Mackey et al. 1996) <doi:10.3354/meps144265>, but is more straightforward, accurate, and not reliant on initial guesses for the pigment to Chl a ratios for phytoplankton groups.

r-params 0.7.7
Propagated dependencies: r-whisker@0.4.1 r-readr@2.1.6 r-rcpptoml@0.2.3 r-purrr@1.2.0 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/sahilseth/params
Licenses: GPL 2
Build system: r
Synopsis: Simplify Parameters
Description:

An interface to simplify organizing parameters used in a package, using external configuration files. This attempts to provide a cleaner alternative to options().

r-photobiologyplants 0.6.1-1
Propagated dependencies: r-photobiologywavebands@0.5.4 r-photobiology@0.14.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=photobiologyPlants
Licenses: GPL 2+
Build system: r
Synopsis: Plant Photobiology Related Functions and Data
Description:

This package provides functions for quantifying visible (VIS) and ultraviolet (UV) radiation in relation to the photoreceptors Phytochromes, Cryptochromes, and UVR8 which are present in plants. It also includes data sets on the optical properties of plants. Part of the r4photobiology suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.

r-pensynth 0.8.1
Propagated dependencies: r-matrix@1.7-4 r-lifecycle@1.0.4 r-cli@3.6.5 r-clarabel@0.11.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/vankesteren/pensynth
Licenses: Expat
Build system: r
Synopsis: Penalized Synthetic Control Estimation
Description:

Estimate penalized synthetic control models and perform hold-out validation to determine their penalty parameter. This method is based on the work by Abadie & L'Hour (2021) <doi:10.1080/01621459.2021.1971535>. Penalized synthetic controls smoothly interpolate between one-to-one matching and the synthetic control method.

r-ppci 0.1.5
Propagated dependencies: r-rarpack@0.11-0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PPCI
Licenses: GPL 3
Build system: r
Synopsis: Projection Pursuit for Cluster Identification
Description:

This package implements recently developed projection pursuit algorithms for finding optimal linear cluster separators. The clustering algorithms use optimal hyperplane separators based on minimum density, Pavlidis et. al (2016) <http://jmlr.org/papers/volume17/15-307/15-307.pdf>; minimum normalised cut, Hofmeyr (2017) <doi:10.1109/TPAMI.2016.2609929>; and maximum variance ratio clusterability, Hofmeyr and Pavlidis (2015) <doi:10.1109/SSCI.2015.116>.

r-powerprior 1.0.0
Propagated dependencies: r-tidyr@1.3.1 r-shinyjs@2.1.0 r-shinydashboard@0.7.3 r-shiny@1.11.1 r-rlang@1.1.6 r-mass@7.3-65 r-laplacesdemon@16.1.6 r-ggplot2@4.0.1 r-dt@0.34.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=powerprior
Licenses: Expat
Build system: r
Synopsis: Conjugate Power Priors for Bayesian Analysis of Normal Data
Description:

This package implements conjugate power priors for efficient Bayesian analysis of normal data. Power priors allow principled incorporation of historical information while controlling the degree of borrowing through a discounting parameter (Ibrahim and Chen (2000) <doi:10.1214/ss/1009212519>). This package provides closed-form conjugate representations for both univariate and multivariate normal data using Normal-Inverse-Chi-squared and Normal-Inverse-Wishart distributions, eliminating the need for MCMC sampling. The conjugate framework builds upon standard Bayesian methods described in Gelman et al. (2013, ISBN:978-1439840955).

r-plgp 1.1-13
Propagated dependencies: r-tgp@2.4-23 r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://bobby.gramacy.com/r_packages/plgp/
Licenses: LGPL 2.0+
Build system: r
Synopsis: Particle Learning of Gaussian Processes
Description:

Sequential Monte Carlo (SMC) inference for fully Bayesian Gaussian process (GP) regression and classification models by particle learning (PL) following Gramacy & Polson (2011) <doi:10.48550/arXiv.0909.5262>. The sequential nature of inference and the active learning (AL) hooks provided facilitate thrifty sequential design (by entropy) and optimization (by improvement) for classification and regression models, respectively. This package essentially provides a generic PL interface, and functions (arguments to the interface) which implement the GP models and AL heuristics. Functions for a special, linked, regression/classification GP model and an integrated expected conditional improvement (IECI) statistic provide for optimization in the presence of unknown constraints. Separable and isotropic Gaussian, and single-index correlation functions are supported. See the examples section of ?plgp and demo(package="plgp") for an index of demos.

r-promotionimpact 0.1.5
Propagated dependencies: r-strucchange@1.5-4 r-stringr@1.6.0 r-scales@1.4.0 r-reshape2@1.4.5 r-rcpp@1.1.0 r-prophet@1.1.7 r-lmtest@0.9-40 r-kernsmooth@2.23-26 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/ncsoft/promotionImpact
Licenses: Modified BSD
Build system: r
Synopsis: Analysis & Measurement of Promotion Effectiveness
Description:

Analysis and measurement of promotion effectiveness on a given target variable (e.g. daily sales). After converting promotion schedule into dummy or smoothed predictor variables, the package estimates the effects of these variables controlled for trend/periodicity/structural change using prophet by Taylor and Letham (2017) <doi:10.7287/peerj.preprints.3190v2> and some prespecified variables (e.g. start of a month).

r-pmmltransformations 1.3.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://www.softwareag.com/zementis
Licenses: FSDG-compatible
Build system: r
Synopsis: Transforms Input Data from a PMML Perspective
Description:

Allows for data to be transformed before using it to construct models. Builds structures to allow functions in the PMML package to output transformation details in addition to the model in the resulting PMML file. The Predictive Model Markup Language (PMML) is an XML-based language which provides a way for applications to define machine learning, statistical and data mining models and to share models between PMML compliant applications. More information about the PMML industry standard and the Data Mining Group can be found at <http://www.dmg.org>. The generated PMML can be imported into any PMML consuming application, such as Zementis Predictive Analytics products, which integrate with web services, relational database systems and deploy natively on Hadoop in conjunction with Hive, Spark or Storm, as well as allow predictive analytics to be executed for IBM z Systems mainframe applications and real-time, streaming analytics platforms.

r-pompom 0.2.1
Propagated dependencies: r-reshape2@1.4.5 r-qgraph@1.9.8 r-lavaan@0.6-20 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pompom
Licenses: GPL 2
Build system: r
Synopsis: Person-Oriented Method and Perturbation on the Model
Description:

An implementation of a hybrid method of person-oriented method and perturbation on the model. Pompom is the initials of the two methods. The hybrid method will provide a multivariate intraindividual variability metric (iRAM). The person-oriented method used in this package refers to uSEM (unified structural equation modeling, see Kim et al., 2007, Gates et al., 2010 and Gates et al., 2012 for details). Perturbation on the model was conducted according to impulse response analysis introduced in Lutkepohl (2007). Kim, J., Zhu, W., Chang, L., Bentler, P. M., & Ernst, T. (2007) <doi:10.1002/hbm.20259>. Gates, K. M., Molenaar, P. C. M., Hillary, F. G., Ram, N., & Rovine, M. J. (2010) <doi:10.1016/j.neuroimage.2009.12.117>. Gates, K. M., & Molenaar, P. C. M. (2012) <doi:10.1016/j.neuroimage.2012.06.026>. Lutkepohl, H. (2007, ISBN:3540262393).

r-propagate 1.0-7
Propagated dependencies: r-tmvtnorm@1.7 r-rcpp@1.1.0 r-minpack-lm@1.2-4 r-mass@7.3-65 r-ff@4.5.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=propagate
Licenses: GPL 2+
Build system: r
Synopsis: Propagation of Uncertainty
Description:

Propagation of uncertainty using higher-order Taylor expansion and Monte Carlo simulation. Calculations of propagated uncertainties are based on matrix calculus including covariance structure according to Arras 1998 <doi:10.3929/ethz-a-010113668> (first order), Wang & Iyer 2005 <doi:10.1088/0026-1394/42/5/011> (second order) and BIPM Supplement 1 (Monte Carlo) <doi:10.59161/JCGM101-2008>.

r-pptreeext 0.1.0
Propagated dependencies: r-shiny@1.11.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pptreeviz@2.0.4 r-mixsim@1.1-8 r-mass@7.3-65 r-gridextra@2.3 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/natydasilva/PPtreeExt
Licenses: GPL 2+
Build system: r
Synopsis: Projection Pursuit Classification Tree Extensions
Description:

This package implements extensions to the projection pursuit tree algorithm for supervised classification, see Lee, Y. (2013), <doi:10.1214/13-EJS810> and Lee, E-K. (2018) <doi:10.18637/jss.v083.i08>. The algorithm is changed in two ways: improving prediction boundaries by modifying the choice of split points-through class subsetting; and increasing flexibility by allowing multiple splits per group.

r-psdr 1.0.3
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=psdr
Licenses: GPL 3+ FSDG-compatible
Build system: r
Synopsis: Use Time Series to Generate and Compare Power Spectral Density
Description:

This package provides functions that allow you to generate and compare power spectral density (PSD) plots given time series data. Fast Fourier Transform (FFT) is used to take a time series data, analyze the oscillations, and then output the frequencies of these oscillations in the time series in the form of a PSD plot.Thus given a time series, the dominant frequencies in the time series can be identified. Additional functions in this package allow the dominant frequencies of multiple groups of time series to be compared with each other. To see example usage with the main functions of this package, please visit this site: <https://yhhc2.github.io/psdr/articles/Introduction.html>. The mathematical operations used to generate the PSDs are described in these sites: <https://www.mathworks.com/help/matlab/ref/fft.html>. <https://www.mathworks.com/help/signal/ug/power-spectral-density-estimates-using-fft.html>.

r-patientprofiles 1.4.5
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-omopgenerics@1.3.6 r-lifecycle@1.0.4 r-dplyr@1.1.4 r-clock@0.7.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://darwin-eu.github.io/PatientProfiles/
Licenses: FSDG-compatible
Build system: r
Synopsis: Identify Characteristics of Patients in the OMOP Common Data Model
Description:

Identify the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model.

r-pwr4exp 1.0.1
Propagated dependencies: r-numderiv@2016.8-1.1 r-nlme@3.1-168 r-matrix@1.7-4 r-mass@7.3-65 r-emmeans@2.0.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/an-ethz/pwr4exp
Licenses: GPL 2+
Build system: r
Synopsis: Power Analysis for Research Experiments
Description:

This package provides tools for calculating statistical power for experiments analyzed using linear mixed models. It supports standard designs, including randomized block, split-plot, and Latin Square designs, while offering flexibility to accommodate a variety of other complex study designs.

r-polymatching 1.0.1
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-optmatch@0.10.8 r-magrittr@2.0.4 r-gridextra@2.3 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=polymatching
Licenses: GPL 3
Build system: r
Synopsis: Matching Algorithm for Designs with Multiple Groups
Description:

Includes functions implementing the conditionally optimal matching algorithm, which can be used to generate matched samples in designs with multiple groups. The algorithm is described in Nattino, Song and Lu (2022) <doi:10.1016/j.csda.2021.107364>.

r-precipe 3.0.3
Dependencies: proj@9.3.1 gdal@3.8.2
Propagated dependencies: r-twc@0.0.2 r-scales@1.4.0 r-raster@3.6-32 r-openair@2.19.0 r-magrittr@2.0.4 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/MiRoVaGo/pRecipe
Licenses: GPL 3
Build system: r
Synopsis: Precipitation R Recipes
Description:

An open-access tool/framework to download, validate, visualize, and analyze multi-source precipitation data. More information and an example of implementation can be found in Vargas Godoy and Markonis (2023, <doi:10.1016/j.envsoft.2023.105711>).

r-polite 0.1.3
Propagated dependencies: r-usethis@3.2.1 r-rvest@1.0.5 r-robotstxt@0.7.15 r-ratelimitr@0.4.2 r-memoise@2.0.1 r-magrittr@2.0.4 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/dmi3kno/polite
Licenses: Expat
Build system: r
Synopsis: Be Nice on the Web
Description:

Be responsible when scraping data from websites by following polite principles: introduce yourself, ask for permission, take slowly and never ask twice.

r-pathfindr-data 2.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/egeulgen/pathfindR.data
Licenses: Expat
Build system: r
Synopsis: Data Package for 'pathfindR'
Description:

This is a data-only package, containing data needed to run the CRAN package pathfindR', a package for enrichment analysis utilizing active subnetworks. This package contains protein-protein interaction network data, data related to gene sets and example input/output data.

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