_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-pedtricks 0.5.0
Propagated dependencies: r-tidyr@1.3.1 r-nadiv@2.18.0 r-mvtnorm@1.3-3 r-mcmcglmm@2.36 r-matrix@1.7-4 r-kinship2@1.9.6.2 r-igraph@2.2.1 r-ggplot2@4.0.1 r-genetics@1.3.8.1.3 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://juliengamartin.github.io/pedtricks/
Licenses: Expat
Build system: r
Synopsis: Visualize, Summarize and Simulate Data from Pedigrees
Description:

Sensitivity and power analysis, for calculating statistics describing pedigrees from wild populations, and for visualizing pedigrees. This is a reboot of the methods developed by Morrissey and Wilson (2010) <doi: 10.1111/j.1755-0998.2009.02817.x>.

r-prp 0.1.1
Propagated dependencies: r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PRP
Licenses: GPL 2
Build system: r
Synopsis: Bayesian Prior and Posterior Predictive Replication Assessment
Description:

Utilize the Bayesian prior and posterior predictive checking approach to provide a statistical assessment of replication success and failure. The package is based on the methods proposed in Zhao,Y., Wen X.(2021) <arXiv:2105.03993>.

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-parmsurvfit 0.1.0
Propagated dependencies: r-ggplot2@4.0.1 r-flexsurv@2.3.2 r-fitdistrplus@1.2-4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/apjacobson/parmsurvfit
Licenses: GPL 2
Build system: r
Synopsis: Parametric Models for Survival Data
Description:

Executes simple parametric models for right-censored survival data. Functionality emulates capabilities in Minitab', including fitting right-censored data, assessing fit, plotting survival functions, and summary statistics and probabilities.

r-painter 0.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=painter
Licenses: GPL 3
Build system: r
Synopsis: Creation and Manipulation of Color Palettes
Description:

This package provides functions for creating color palettes, visualizing palettes, modifying colors, and assigning colors for plotting.

r-provdebugr 1.0.1
Propagated dependencies: r-textutils@0.4-3 r-provparser@1.0 r-provgraphr@1.0.1 r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=provDebugR
Licenses: GPL 3
Build system: r
Synopsis: Time-Travelling Debugger
Description:

Uses provenance post-execution to help the user understand and debug their script by providing functions to look at intermediate steps and data values, their forwards and backwards lineage, and to understand the steps leading up to warning and error messages. provDebugR uses provenance produced by rdtLite (available on CRAN), stored in PROV-JSON format.

r-plavaan 0.0.1
Propagated dependencies: r-numderiv@2016.8-1.1 r-lavaan@0.6-20
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://marklhc.github.io/plavaan/
Licenses: Expat
Build system: r
Synopsis: Penalized Estimation for Latent Variable Models with 'lavaan'
Description:

Extends the popular lavaan package by adding penalized estimation capabilities. It supports penalty on individual parameters as well as the difference between parameters.

r-pedsuite 1.4.0
Propagated dependencies: r-verbalisr@0.7.2 r-segregatr@0.5.0 r-ribd@1.7.1 r-pedtools@2.10.0 r-pedprobr@1.0.1 r-pedmut@0.9.0 r-pedfamilias@0.2.4 r-pedbuildr@0.3.0 r-paramlink2@1.0.6 r-norstr@0.2.1 r-ibdsim2@2.3.2 r-ibdfindr@0.3.1 r-forrel@1.8.1 r-dvir@3.3.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://magnusdv.github.io/pedsuite/
Licenses: GPL 3+
Build system: r
Synopsis: Easy Installation of the 'pedsuite' Packages for Pedigree Analysis
Description:

The pedsuite is a collection of packages for pedigree analysis, covering applications in forensic genetics, medical genetics and more. A detailed presentation of the pedsuite is given in the book Pedigree Analysis in R (Vigeland, 2021, ISBN: 9780128244302).

r-provolleyballr 0.1.0
Propagated dependencies: r-stringr@1.6.0 r-selenider@0.4.1 r-rvest@1.0.5 r-rlang@1.1.6 r-purrr@1.2.0 r-lifecycle@1.0.4 r-janitor@2.2.1 r-dplyr@1.1.4 r-curl@7.0.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/JeffreyRStevens/provolleyballr
Licenses: Expat
Build system: r
Synopsis: Extract Data from US Women's Professional Volleyball Websites
Description:

This package provides tools for scraping match statistics and player data from the Athletes Unlimited (UA) website <https://auprosports.com/volleyball/>, the League One Volleyball website <https://lovb.com>, and the Major League (MLV) website <https://provolleyball.com>.

r-photobiologysensors 0.5.2
Propagated dependencies: r-photobiology@0.14.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://docs.r4photobiology.info/photobiologySensors/
Licenses: GPL 2+
Build system: r
Synopsis: Response Data for Light Sensors
Description:

Spectral response data for broadband ultraviolet and visible radiation sensors. Angular response data for broadband ultraviolet and visible radiation sensors and diffusers used as entrance optics. Data obtained from multiple sources were used: author-supplied data from scientific research papers, sensor-manufacturer supplied data, and published sensor specifications. Part of the r4photobiology suite Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.

r-pdr 1.9.4
Propagated dependencies: r-uroot@2.1-3 r-plm@2.6-7 r-pglm@0.2-4 r-lme4@1.1-37 r-glmmtmb@1.1.13
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pdR
Licenses: GPL 2+
Build system: r
Synopsis: Threshold Model and Unit Root Tests in Cross-Section and Time Series Data
Description:

Threshold model, panel version of Hylleberg et al. (1990) <DOI:10.1016/0304-4076(90)90080-D> seasonal unit root tests, and panel unit root test of Chang (2002) <DOI:10.1016/S0304-4076(02)00095-7>.

r-pammisc 1.12.7
Propagated dependencies: r-xml2@1.5.0 r-tuner@1.4.7 r-suncalc@0.5.1 r-signal@1.8-1 r-seewave@2.2.4 r-scales@1.4.0 r-rsqlite@2.4.4 r-rjson@0.2.23 r-rerddap@1.2.3 r-rcpproll@0.3.1 r-purrr@1.2.0 r-pambinaries@1.9.3 r-ncdf4@1.24 r-lubridate@1.9.4 r-httr@1.4.7 r-ggplot2@4.0.1 r-geosphere@1.5-20 r-fftw@1.0-9 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=PAMmisc
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Miscellaneous Functions for Passive Acoustic Analysis
Description:

This package provides a collection of miscellaneous functions for passive acoustics. Much of the content here is adapted to R from code written by other people. If you have any ideas of functions to add, please contact Taiki Sakai.

r-packagepal 0.1.0
Propagated dependencies: r-usethis@3.2.1 r-cli@3.6.5 r-available@1.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/lddurbin/packagepal
Licenses: Expat
Build system: r
Synopsis: Guidelines and Checklists for Building CRAN-Worthy Packages
Description:

This package provides essential checklists for R package developers, whether you're creating your first package or beginning a new project. This tool guides you through each step of the development process, including specific considerations for submitting your package to the Comprehensive R Archive Network (CRAN). Simplify your workflow and ensure adherence to best practices with packagepal'.

r-pscdesign 1.0.0
Propagated dependencies: r-survival@3.8-3 r-s7@0.2.1 r-psc@2.0.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/richJJackson/pscDesign
Licenses: GPL 3
Build system: r
Synopsis: Study Design for Personalised Synthetic Controls
Description:

This package provides tools for the design of prospective studies using Personalised Synthetic Controls. Can be used in either single arm or randomised studies.

r-phagecocktail 1.0.3
Propagated dependencies: r-stringr@1.6.0 r-smerc@1.8.4 r-rjsonio@2.0.0 r-readxl@1.4.5 r-factoextra@1.0.7 r-bipartite@2.23
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PhageCocktail
Licenses: GPL 3
Build system: r
Synopsis: Design of the Best Phage Cocktail
Description:

There are 4 possible methods: "ExhaustiveSearch"; "ExhaustivePhi"; "ClusteringSearch"; and "ClusteringPhi". "ExhaustiveSearch"--> gives you the best phage cocktail from a phage-bacteria infection network. It checks different phage cocktail sizes from 1 to 7 and only stops before if it lyses all bacteria. Other option is when users have decided not to obtain a phage cocktail size higher than a limit value. "ExhaustivePhi"--> firstly, it finds Phi out. Phi is a formula indicating the necessary phage cocktail size. Phi needs nestedness temperature and fill, which are internally calculated. This function will only look for the best combination (phage cocktail) with a Phi size. "ClusteringSearch"--> firstly, an agglomerative hierarchical clustering using Ward's algorithm is calculated for phages. They will be clustered according to bacteria lysed by them. PhageCocktail() chooses how many clusters are needed in order to select 1 phage per cluster. Using the phages selected during the clustering, it checks different phage cocktail sizes from 1 to 7 and only stops before if it lyses all bacteria. Other option is when users have decided not to obtain a phage cocktail size higher than a limit value. "ClusteringPhi"--> firstly, an agglomerative hierarchical clustering using Ward's algorithm is calculated for phages. They will be clustered according to bacteria lysed by them. PhageCocktail() chooses how many clusters are needed in order to select 1 phage per cluster. Once the function has one phage per cluster, it calculates Phi. If the number of clusters is less than Phi number, it will be changed to obtain, as minimum, this quantity of candidates (phages). Then, it calculates the best combination of Phi phages using those selected during the clustering with Ward algorithm. If you use PhageCocktail, please cite it as: "PhageCocktail: An R Package to Design Phage Cocktails from Experimental Phage-Bacteria Infection Networks". Marà a Victoria Dà az-Galián, Miguel A. Vega-Rodrà guez, Felipe Molina. Computer Methods and Programs in Biomedicine, 221, 106865, Elsevier Ireland, Clare, Ireland, 2022, pp. 1-9, ISSN: 0169-2607. <doi:10.1016/j.cmpb.2022.106865>.

r-psf 0.5
Propagated dependencies: r-data-table@1.17.8 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://www.neerajbokde.in/viggnette/2021-10-13-PSF/
Licenses: GPL 2+
Build system: r
Synopsis: Forecasting of Univariate Time Series Using the Pattern Sequence-Based Forecasting (PSF) Algorithm
Description:

Pattern Sequence Based Forecasting (PSF) takes univariate time series data as input and assist to forecast its future values. This algorithm forecasts the behavior of time series based on similarity of pattern sequences. Initially, clustering is done with the labeling of samples from database. The labels associated with samples are then used for forecasting the future behaviour of time series data. The further technical details and references regarding PSF are discussed in Vignette.

r-perryexamples 0.1.1
Propagated dependencies: r-robustbase@0.99-6 r-quantreg@6.1 r-perry@0.3.1 r-lars@1.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=perryExamples
Licenses: GPL 2+
Build system: r
Synopsis: Examples for Integrating Prediction Error Estimation into Regression Models
Description:

Examples for integrating package perry for prediction error estimation into regression models.

r-perplexr 0.0.3
Propagated dependencies: r-shiny@1.11.1 r-rstudioapi@0.17.1 r-miniui@0.1.2 r-jsonlite@2.0.0 r-httr@1.4.7 r-clipr@0.8.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/GabrielKaiserQFin/perplexR
Licenses: GPL 3+
Build system: r
Synopsis: Coding Assistant using Perplexity's Large Language Models
Description:

This package provides a coding assistant using Perplexity's Large Language Models <https://www.perplexity.ai/> API. A set of functions and RStudio add-ins that aim to help R developers.

r-packer 0.1.3
Propagated dependencies: r-usethis@3.2.1 r-rstudioapi@0.17.1 r-rprojroot@2.1.1 r-roxygen2@7.3.3 r-jsonlite@2.0.0 r-htmlwidgets@1.6.4 r-fs@1.6.6 r-cli@3.6.5 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/JohnCoene/packer
Licenses: Expat
Build system: r
Synopsis: An Opinionated Framework for Using 'JavaScript'
Description:

Enforces good practice and provides convenience functions to make work with JavaScript not just easier but also scalable. It is a robust wrapper to NPM', yarn', and webpack that enables to compartmentalize JavaScript code, leverage NPM and yarn packages, include TypeScript', React', or Vue in web applications, and much more.

r-polypoly 0.0.3
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-reshape2@1.4.5 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/tjmahr/polypoly
Licenses: GPL 3
Build system: r
Synopsis: Helper Functions for Orthogonal Polynomials
Description:

This package provides tools for reshaping, plotting, and manipulating matrices of orthogonal polynomials.

r-plmmr 4.2.3
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-ncvreg@3.16.0 r-matrix@1.7-4 r-glmnet@4.1-10 r-data-table@1.17.8 r-bigmemory@4.6.4 r-biglasso@1.6.1 r-bigalgebra@3.0.0 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://pbreheny.github.io/plmmr/
Licenses: GPL 3
Build system: r
Synopsis: Penalized Linear Mixed Models for Correlated Data
Description:

Fits penalized linear mixed models that correct for unobserved confounding factors. plmmr infers and corrects for the presence of unobserved confounding effects such as population stratification and environmental heterogeneity. It then fits a linear model via penalized maximum likelihood. Originally designed for the multivariate analysis of single nucleotide polymorphisms (SNPs) measured in a genome-wide association study (GWAS), plmmr eliminates the need for subpopulation-specific analyses and post-analysis p-value adjustments. Functions for the appropriate processing of PLINK files are also supplied. For examples, see the package homepage. <https://pbreheny.github.io/plmmr/>.

r-pbo 1.3.5
Propagated dependencies: r-latticeextra@0.6-31 r-lattice@0.22-7 r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/mrbcuda/pbo
Licenses: Expat
Build system: r
Synopsis: Probability of Backtest Overfitting
Description:

Following the method of Bailey et al., computes for a collection of candidate models the probability of backtest overfitting, the performance degradation and probability of loss, and the stochastic dominance.

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-prioriactions 0.5.0
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-proto@1.0.0 r-matrix@1.7-4 r-magrittr@2.0.4 r-dplyr@1.1.4 r-bh@1.87.0-1 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://prioriactions.github.io/prioriactions/
Licenses: GPL 2+
Build system: r
Synopsis: Multi-Action Conservation Planning
Description:

This uses a mixed integer mathematical programming (MIP) approach for building and solving multi-action planning problems, where the goal is to find an optimal combination of management actions that abate threats, in an efficient way while accounting for spatial aspects. Thus, optimizing the connectivity and conservation effectiveness of the prioritized units and of the deployed actions. The package is capable of handling different commercial (gurobi, CPLEX) and non-commercial (symphony, CBC) MIP solvers. Gurobi optimization solver can be installed using comprehensive instructions in the gurobi installation vignette of the prioritizr package (available in <https://prioritizr.net/articles/gurobi_installation_guide.html>). Instead, CPLEX optimization solver can be obtain from IBM CPLEX web page (available here <https://www.ibm.com/es-es/products/ilog-cplex-optimization-studio>). Additionally, the rcbc R package (available at <https://github.com/dirkschumacher/rcbc>) can be used to obtain solutions using the CBC optimization software (<https://github.com/coin-or/Cbc>). Methods used in the package refers to Salgado-Rojas et al. (2020) <doi:10.1016/j.ecolmodel.2019.108901>, Beyer et al. (2016) <doi:10.1016/j.ecolmodel.2016.02.005>, Cattarino et al. (2015) <doi:10.1371/journal.pone.0128027> and Watts et al. (2009) <doi:10.1016/j.envsoft.2009.06.005>. See the prioriactions website for more information, documentations and examples.

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