_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-parquetize 0.5.8
Propagated dependencies: r-tidyselect@1.2.1 r-tibble@3.3.0 r-rsqlite@2.4.4 r-rlang@1.1.6 r-readr@2.1.6 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-haven@2.5.5 r-glue@1.8.0 r-fst@0.9.8 r-dplyr@1.1.4 r-dbi@1.2.3 r-curl@7.0.0 r-cli@3.6.5 r-arrow@22.0.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://ddotta.github.io/parquetize/
Licenses: ASL 2.0
Build system: r
Synopsis: Convert Files to Parquet Format
Description:

Collection of functions to get files in parquet format. Parquet is a columnar storage file format <https://parquet.apache.org/>. The files to convert can be of several formats ("csv", "RData", "rds", "RSQLite", "json", "ndjson", "SAS", "SPSS"...).

r-pro 0.1.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pro
Licenses: GPL 2
Build system: r
Synopsis: Point-Process Response Model for Optogenetics
Description:

Optogenetics is a new tool to study neuronal circuits that have been genetically modified to allow stimulation by flashes of light. This package implements the methodological framework, Point-process Response model for Optogenetics (PRO), for analyzing data from these experiments. This method provides explicit nonlinear transformations to link the flash point-process with the spiking point-process. Such response functions can be used to provide important and interpretable scientific insights into the properties of the biophysical process that governs neural spiking in response to optogenetic stimulation.

r-polysegratiomm 0.6-4
Propagated dependencies: r-polysegratio@0.2-5 r-lattice@0.22-7 r-gtools@3.9.5 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/petebaker/polysegratiomm
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Mixture Models for Marker Dosage in Autopolyploids
Description:

Fits Bayesian mixture models to estimate marker dosage for dominant markers in autopolyploids using JAGS (1.0 or greater) as outlined in Baker et al "Bayesian estimation of marker dosage in sugarcane and other autopolyploids" (2010, <doi:10.1007/s00122-010-1283-z>). May be used in conjunction with polySegratio for simulation studies and comparison with standard methods.

r-poms 1.0.1
Propagated dependencies: r-xnomial@1.0.4.1 r-phylolm@2.6.5 r-phangorn@2.12.1 r-mass@7.3-65 r-data-table@1.17.8 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=POMS
Licenses: GPL 3
Build system: r
Synopsis: Phylogenetic Organization of Metagenomic Signals
Description:

Code to identify functional enrichments across diverse taxa in phylogenetic tree, particularly where these taxa differ in abundance across samples in a non-random pattern. The motivation for this approach is to identify microbial functions encoded by diverse taxa that are at higher abundance in certain samples compared to others, which could indicate that such functions are broadly adaptive under certain conditions. See GitHub repository for tutorial and examples: <https://github.com/gavinmdouglas/POMS/wiki>. Citation: Gavin M. Douglas, Molly G. Hayes, Morgan G. I. Langille, Elhanan Borenstein (2022) <doi:10.1093/bioinformatics/btac655>.

r-personalized 0.2.8
Propagated dependencies: r-xgboost@1.7.11.1 r-survival@3.8-3 r-plotly@4.11.0 r-mgcv@1.9-4 r-kernlab@0.9-33 r-glmnet@4.1-10 r-ggplot2@4.0.1 r-foreach@1.5.2 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://jaredhuling.org/personalized/
Licenses: GPL 2
Build system: r
Synopsis: Estimation and Validation Methods for Subgroup Identification and Personalized Medicine
Description:

This package provides functions for fitting and validation of models for subgroup identification and personalized medicine / precision medicine under the general subgroup identification framework of Chen et al. (2017) <doi:10.1111/biom.12676>. This package is intended for use for both randomized controlled trials and observational studies and is described in detail in Huling and Yu (2021) <doi:10.18637/jss.v098.i05>.

r-paisaje 0.2.0
Propagated dependencies: r-tidyr@1.3.1 r-terra@1.8-86 r-spocc@1.2.4 r-sf@1.0-23 r-rvest@1.0.5 r-progress@1.2.3 r-magrittr@2.0.4 r-landscapemetrics@2.2.1 r-httr@1.4.7 r-h3jsr@1.3.1 r-exactextractr@0.10.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://manuelspinola.github.io/paisaje/
Licenses: Expat
Build system: r
Synopsis: Spatial and Environmental Data Tools for Landscape Ecology
Description:

This package provides functions for landscape analysis and data retrieval. The package allows users to download environmental variables from global datasets (e.g., WorldClim, ESA WorldCover, Nighttime Lights), and to compute spatial and landscape metrics using a hexagonal grid system based on the H3 spatial index. It is useful for ecological modeling, biodiversity studies, and spatial data processing in landscape ecology. Fick and Hijmans (2017) <doi:10.1002/joc.5086>. Zanaga et al. (2022) <doi:10.5281/zenodo.7254221>. Uber Technologies Inc. (2022) "H3: Hexagonal hierarchical spatial index".

r-projectionbasedclustering 1.2.2
Propagated dependencies: r-vegan@2.7-2 r-shinythemes@1.2.0 r-shinyjs@2.1.0 r-shiny@1.11.1 r-rcpp@1.1.0 r-plotly@4.11.0 r-ggplot2@4.0.1 r-geometry@0.5.2 r-generalizedumatrix@1.3.1 r-deldir@2.0-4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://www.deepbionics.org
Licenses: GPL 3
Build system: r
Synopsis: Projection Based Clustering
Description:

This package provides a clustering approach applicable to every projection method is proposed here. The two-dimensional scatter plot of any projection method can construct a topographic map which displays unapparent data structures by using distance and density information of the data. The generalized U*-matrix renders this visualization in the form of a topographic map, which can be used to automatically define the clusters of high-dimensional data. The whole system is based on Thrun and Ultsch, "Using Projection based Clustering to Find Distance and Density based Clusters in High-Dimensional Data" <DOI:10.1007/s00357-020-09373-2>. Selecting the correct projection method will result in a visualization in which mountains surround each cluster. The number of clusters can be determined by counting valleys on the topographic map. Most projection methods are wrappers for already available methods in R. By contrast, the neighbor retrieval visualizer (NeRV) is based on C++ source code of the dredviz software package, and the Curvilinear Component Analysis (CCA) is translated from MATLAB ('SOM Toolbox 2.0) to R.

r-phyloseqgraphtest 0.1.1
Propagated dependencies: r-phyloseq@1.54.0 r-igraph@2.2.1 r-ggplot2@4.0.1 r-ggnetwork@0.5.14
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/jfukuyama/phyloseqGraphTest
Licenses: CC0
Build system: r
Synopsis: Graph-Based Permutation Tests for Microbiome Data
Description:

This package provides functions for graph-based multiple-sample testing and visualization of microbiome data, in particular data stored in phyloseq objects. The tests are based on those described in Friedman and Rafsky (1979) <http://www.jstor.org/stable/2958919>, and the tests are described in more detail in Callahan et al. (2016) <doi:10.12688/f1000research.8986.1>.

r-promor 0.2.2
Propagated dependencies: r-xgboost@1.7.11.1 r-viridis@0.6.5 r-vim@6.2.6 r-statmod@1.5.1 r-reshape2@1.4.5 r-proc@1.19.0.1 r-pcamethods@2.2.0 r-naivebayes@1.0.0 r-missforest@1.6.1 r-limma@3.66.0 r-kernlab@0.9-33 r-gridextra@2.3 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/caranathunge/promor
Licenses: LGPL 2.1+
Build system: r
Synopsis: Proteomics Data Analysis and Modeling Tools
Description:

This package provides a comprehensive, user-friendly package for label-free proteomics data analysis and machine learning-based modeling. Data generated from MaxQuant can be easily used to conduct differential expression analysis, build predictive models with top protein candidates, and assess model performance. promor includes a suite of tools for quality control, visualization, missing data imputation (Lazar et. al. (2016) <doi:10.1021/acs.jproteome.5b00981>), differential expression analysis (Ritchie et. al. (2015) <doi:10.1093/nar/gkv007>), and machine learning-based modeling (Kuhn (2008) <doi:10.18637/jss.v028.i05>).

r-pems-utils 0.3.0.8
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-loa@0.3.1.1 r-lattice@0.22-7 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-baseline@1.3-7
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: http://pems.r-forge.r-project.org/
Licenses: GPL 2+
Build system: r
Synopsis: Portable Emissions (and Other Mobile) Measurement System Utilities
Description:

Utility functions for the handling, analysis and visualisation of data from portable emissions measurement systems ('PEMS') and other similar mobile activity monitoring devices. The package includes a dedicated pems data class that manages many of the quality control, unit handling and data archiving issues that can hinder efforts to standardise PEMS research.

r-pathviewr 1.1.8
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-r-matlab@3.7.0 r-purrr@1.2.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-ggplot2@4.0.1 r-fancova@0.6-1 r-dplyr@1.1.4 r-data-table@1.17.8 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/ropensci/pathviewr/
Licenses: GPL 3
Build system: r
Synopsis: Wrangle, Analyze, and Visualize Animal Movement Data
Description:

This package provides tools to import, clean, and visualize movement data, particularly from motion capture systems such as Optitrack's Motive', the Straw Lab's Flydra', or from other sources. We provide functions to remove artifacts, standardize tunnel position and tunnel axes, select a region of interest, isolate specific trajectories, fill gaps in trajectory data, and calculate 3D and per-axis velocity. For experiments of visual guidance, we also provide functions that use subject position to estimate perception of visual stimuli.

r-phenotype 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-lme4@1.1-37
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/biozhp/Phenotype
Licenses: Artistic License 2.0
Build system: r
Synopsis: Tool for Phenotypic Data Processing
Description:

Large-scale phenotypic data processing is essential in research. Researchers need to eliminate outliers from the data in order to obtain true and reliable results. Best linear unbiased prediction (BLUP) is a standard method for estimating random effects of a mixed model. This method can be used to process phenotypic data under different conditions and is widely used in animal and plant breeding. The Phenotype can remove outliers from phenotypic data and performs the best linear unbiased prediction (BLUP), help researchers quickly complete phenotypic data analysis. H.P.Piepho. (2008) <doi:10.1007/s10681-007-9449-8>.

r-psharmonize 0.3.6
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-rmarkdown@2.30 r-rlang@1.1.6 r-rcolorbrewer@1.1-3 r-purrr@1.2.0 r-magrittr@2.0.4 r-glue@1.8.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/NUDACC/psHarmonize
Licenses: Expat
Build system: r
Synopsis: Creates a Harmonized Dataset Based on a Set of Instructions
Description:

This package provides functions which facilitate harmonization of data from multiple different datasets. Data harmonization involves taking data sources with differing values, creating coding instructions to create a harmonized set of values, then making those data modifications. psHarmonize will assist with data modification once the harmonization instructions are written. Coding instructions are written by the user to create a "harmonization sheet". This sheet catalogs variable names, domains (e.g. clinical, behavioral, outcomes), provides R code instructions for mapping or conversion of data, specifies the variable name in the harmonized data set, and tracks notes. The package will then harmonize the source datasets according to the harmonization sheet to create a harmonized dataset. Once harmonization is finished, the package also has functions that will create descriptive statistics using RMarkdown'. Data Harmonization guidelines have been described by Fortier I, Raina P, Van den Heuvel ER, et al. (2017) <doi:10.1093/ije/dyw075>. Additional details of our R package have been described by Stephen JJ, Carolan P, Krefman AE, et al. (2024) <doi:10.1016/j.patter.2024.101003>.

r-playerratings 1.1-0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PlayerRatings
Licenses: GPL 3
Build system: r
Synopsis: Dynamic Updating Methods for Player Ratings Estimation
Description:

This package implements schemes for estimating player or team skill based on dynamic updating. Implemented methods include Elo, Glicko, Glicko-2 and Stephenson. Contains pdf documentation of a reproducible analysis using approximately two million chess matches. Also contains an Elo based method for multi-player games where the result is a placing or a score. This includes zero-sum games such as poker and mahjong.

r-parade 0.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=parade
Licenses: GPL 2+
Build system: r
Synopsis: Pen's Income Parades
Description:

Tool for producing Pen's parade graphs, useful for visualizing inequalities in income, wages or other variables, as proposed by Pen (1971, ISBN: 978-0140212594). Income or another economic variable is captured by the vertical axis, while the population is arranged in ascending order of income along the horizontal axis. Pen's income parades provide an easy-to-interpret visualization of economic inequalities.

r-plattice 1.1
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=plattice
Licenses: GPL 2+
Build system: r
Synopsis: Lattice Plot for Panel Data
Description:

It creates a lattice plot to visualize panel or longitudinal data. The observed values are plotted as dots and the fitted values as lines, both against time. The plot is customizable and easy to edit, even if you do not know how to construct a lattice plot from scratch.

r-paletteknife 0.4.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/johnxhobbs/paletteknife
Licenses: Expat
Build system: r
Synopsis: Create Colour Scales and Legend from Continuous or Categorical Vectors
Description:

Streamlines the steps for adding colour scales and associated legends when working with base R graphics, especially for interactive use. Popular palettes are included and pretty legends produced when mapping a large variety of vector classes to a colour scale. An additional helper for adding axes and grid lines complements the base::plot() work flow.

r-ptitan2 1.0.2
Propagated dependencies: r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/USEPA/pTITAN2
Licenses: Expat
Build system: r
Synopsis: Permutations of Treatment Labels and TITAN2 Analysis
Description:

Permute treatment labels for taxa and environmental gradients to generate an empirical distribution of change points. This is an extension for the TITAN2 package <https://cran.r-project.org/package=TITAN2>.

r-predtoolsts 0.1.1
Propagated dependencies: r-tspred@5.1.1 r-tseries@0.10-58 r-metrics@0.1.4 r-forecast@8.24.0 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/avm00016/predtoolsTS
Licenses: GPL 2+
Build system: r
Synopsis: Time Series Prediction Tools
Description:

Makes the time series prediction easier by automatizing this process using four main functions: prep(), modl(), pred() and postp(). Features different preprocessing methods to homogenize variance and to remove trend and seasonality. Also has the potential to bring together different predictive models to make comparatives. Features ARIMA and Data Mining Regression models (using caret).

r-pdxtrees 0.5.0
Propagated dependencies: r-rlang@1.1.6 r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/mcconvil/pdxTrees
Licenses: GPL 3
Build system: r
Synopsis: Data Package of Portland, Oregon Trees
Description:

An engaging collection of datasets from Portland Parks and Recreation. The city of Portland inventoried every tree in over 170 parks and along the streets in 96 neighborhoods.

r-polaroid 0.2.1
Propagated dependencies: r-shiny@1.11.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/jhk0530/polaroid
Licenses: Expat
Build system: r
Synopsis: Create Hex Stickers with 'shiny'
Description:

Create hexagonal shape sticker image. polaroid can be used in user's web browser. polaroid can be used in shinyapps.io'. In both way, user can download created hexSticker as PNG image. polaroid is built based on argonDash', colourpicker and hexSticker R package.

r-proteinpca 0.1.1
Propagated dependencies: 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://cran.r-project.org/package=ProteinPCA
Licenses: GPL 3
Build system: r
Synopsis: Principal Component Analysis (PCA) Tool on Protein Expression Data
Description:

Analysis of protein expression data can be done through Principal Component Analysis (PCA), and this R package is designed to streamline the analysis. This package enables users to perform PCA and it generates biplot and scree plot for advanced graphical visualization. Optionally, it supports grouping/clustering visualization with PCA loadings and confidence ellipses. With this R package, researchers can quickly explore complex protein datasets, interpret variance contributions, and visualize sample clustering through intuitive biplots. For more details, see Jolliffe (2001) <doi:10.1007/b98835>, Gabriel (1971) <doi:10.1093/biomet/58.3.453>, Zhang et al. (2024) <doi:10.1038/s41467-024-53239-9>, and Anandan et al. (2022) <doi:10.1038/s41598-022-07781-5>.

r-pointblank 0.12.3
Propagated dependencies: r-yaml@2.3.10 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-testthat@3.3.0 r-scales@1.4.0 r-rlang@1.1.6 r-magrittr@2.0.4 r-knitr@1.50 r-htmltools@0.5.8.1 r-gt@1.3.0 r-glue@1.8.0 r-fs@1.6.6 r-dplyr@1.1.4 r-digest@0.6.39 r-dbplyr@2.5.1 r-dbi@1.2.3 r-cli@3.6.5 r-blastula@0.3.6 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://rstudio.github.io/pointblank/
Licenses: Expat
Build system: r
Synopsis: Data Validation and Organization of Metadata for Local and Remote Tables
Description:

Validate data in data frames, tibble objects, Spark DataFrames', and database tables. Validation pipelines can be made using easily-readable, consecutive validation steps. Upon execution of the validation plan, several reporting options are available. User-defined thresholds for failure rates allow for the determination of appropriate reporting actions. Many other workflows are available including an information management workflow, where the aim is to record, collect, and generate useful information on data tables.

r-pixelpuzzle 1.0.1
Propagated dependencies: r-stringr@1.6.0 r-cli@3.6.5 r-beepr@2.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/rolkra/pixelpuzzle
Licenses: GPL 3
Build system: r
Synopsis: Puzzle Game for the R Console
Description:

Puzzle game that can be played in the R console. Restore the pixel art by shifting rows.

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