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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-proustr 0.4.0
Propagated dependencies: r-tokenizers@0.3.0 r-tidyr@1.3.1 r-stringr@1.6.0 r-snowballc@0.7.1 r-rlang@1.1.6 r-attempt@0.3.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/ColinFay/proustr
Licenses: Expat
Build system: r
Synopsis: Tools for Natural Language Processing in French
Description:

This package provides tools for Natural Language Processing in French and texts from Marcel Proust's collection "A La Recherche Du Temps Perdu". The novels contained in this collection are "Du cote de chez Swann ", "A l'ombre des jeunes filles en fleurs","Le Cote de Guermantes", "Sodome et Gomorrhe I et II", "La Prisonniere", "Albertine disparue", and "Le Temps retrouve".

r-pcvr 1.3.1
Propagated dependencies: r-viridis@0.6.5 r-survival@3.8-3 r-scales@1.4.0 r-rlang@1.1.6 r-quantreg@6.1 r-patchwork@1.3.2 r-nlme@3.1-168 r-mgcv@1.9-4 r-lmesplines@1.1.20 r-lme4@1.1-37 r-jsonlite@2.0.0 r-igraph@2.2.1 r-ggridges@0.5.7 r-ggplot2@4.0.1 r-factominer@2.12 r-extradistr@1.10.0 r-data-table@1.17.8 r-car@3.1-3 r-bayestestr@0.17.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/danforthcenter/pcvr
Licenses: GPL 2
Build system: r
Synopsis: Plant Phenotyping and Bayesian Statistics
Description:

Analyse common types of plant phenotyping data, provide a simplified interface to longitudinal growth modeling and select Bayesian statistics, and streamline use of PlantCV output. Several Bayesian methods and reporting guidelines for Bayesian methods are described in Kruschke (2018) <doi:10.1177/2515245918771304>, Kruschke (2013) <doi:10.1037/a0029146>, and Kruschke (2021) <doi:10.1038/s41562-021-01177-7>.

r-plume 0.3.0
Propagated dependencies: r-yaml@2.3.10 r-vctrs@0.6.5 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-readr@2.1.6 r-r6@2.6.1 r-purrr@1.2.0 r-lifecycle@1.0.4 r-knitr@1.50 r-jsonlite@2.0.0 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://arnaudgallou.github.io/plume/
Licenses: GPL 3+
Build system: r
Synopsis: Simple Author Handler for Scientific Writing
Description:

Handles and formats author information in scientific writing in R Markdown and Quarto'. plume provides easy-to-use and flexible tools for inserting author data in YAML as well as generating author and contribution lists (among others) as strings from tabular data.

r-poisbinord 1.4.3
Propagated dependencies: r-mvtnorm@1.3-3 r-matrix@1.7-4 r-genord@2.0.0 r-corpcor@1.6.10
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PoisBinOrd
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Data Generation with Poisson, Binary and Ordinal Components
Description:

Generation of multiple count, binary and ordinal variables simultaneously given the marginal characteristics and association structure. Throughout the package, the word Poisson is used to imply count data under the assumption of Poisson distribution. The details of the method are explained in Amatya, A. and Demirtas, H. (2015) <DOI:10.1080/00949655.2014.953534>.

r-pbsmapping 2.74.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/pbs-software/pbs-mapping
Licenses: GPL 2+
Build system: r
Synopsis: Mapping Fisheries Data and Spatial Analysis Tools
Description:

This software has evolved from fisheries research conducted at the Pacific Biological Station (PBS) in Nanaimo', British Columbia, Canada. It extends the R language to include two-dimensional plotting features similar to those commonly available in a Geographic Information System (GIS). Embedded C code speeds algorithms from computational geometry, such as finding polygons that contain specified point events or converting between longitude-latitude and Universal Transverse Mercator (UTM) coordinates. Additionally, we include C++ code developed by Angus Johnson for the Clipper library, data for a global shoreline, and other data sets in the public domain. Under the user's R library directory .libPaths()', specifically in ./PBSmapping/doc', a complete user's guide is offered and should be consulted to use package functions effectively.

r-paretoposstable 1.1
Propagated dependencies: r-lmom@3.2 r-foreach@1.5.2 r-doparallel@1.0.17 r-adgoftest@0.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=ParetoPosStable
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Computing, Fitting and Validating the PPS Distribution
Description:

Statistical functions to describe a Pareto Positive Stable (PPS) distribution and fit it to real data. Graphical and statistical tools to validate the fits are included.

r-prepshiny 0.1.0
Propagated dependencies: r-shiny@1.11.1 r-rmarkdown@2.30 r-psycho@0.6.1 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=PREPShiny
Licenses: GPL 2
Build system: r
Synopsis: Interactive Document for Preprocessing the Dataset
Description:

An interactive document for preprocessing the dataset using rmarkdown and shiny packages. Runtime examples are provided in the package function as well as at <https://analyticmodels.shinyapps.io/PREPShiny/>.

r-ph2bayes 0.0.2
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=ph2bayes
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Single-Arm Phase II Designs
Description:

An implementation of Bayesian single-arm phase II design methods for binary outcome based on posterior probability (Thall and Simon (1994) <doi:10.2307/2533377>) and predictive probability (Lee and Liu (2008) <doi:10.1177/1740774508089279>).

r-psgp 0.3-25
Propagated dependencies: r-sp@2.2-0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-intamap@1.5-11 r-gstat@2.1-4 r-foreach@1.5.2 r-doparallel@1.0.17 r-automap@1.1-20
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=psgp
Licenses: GPL 2+
Build system: r
Synopsis: Projected Spatial Gaussian Process Methods
Description:

This package implements projected sparse Gaussian process Kriging ('Ingram et. al.', 2008, <doi:10.1007/s00477-007-0163-9>) as an additional method for the intamap package. More details on implementation ('Barillec et. al.', 2010, <doi:10.1016/j.cageo.2010.05.008>).

r-pavo 2.9.0
Propagated dependencies: r-viridislite@0.4.2 r-sf@1.0-23 r-progressr@0.18.0 r-plot3d@1.4.2 r-magick@2.9.0 r-lightr@1.9.0 r-geometry@0.5.2 r-future-apply@1.20.0 r-farver@2.1.2 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: http://pavo.colrverse.com
Licenses: GPL 2+
Build system: r
Synopsis: Perceptual Analysis, Visualization and Organization of Spectral Colour Data
Description:

This package provides a cohesive framework for the spectral and spatial analysis of colour described in Maia, Eliason, Bitton, Doucet & Shawkey (2013) <doi:10.1111/2041-210X.12069> and Maia, Gruson, Endler & White (2019) <doi:10.1111/2041-210X.13174>.

r-prevtoinc 0.12.0
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 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=prevtoinc
Licenses: Expat
Build system: r
Synopsis: Prevalence to Incidence Calculations for Point-Prevalence Studies in a Nosocomial Setting
Description:

This package provides functions to simulate point prevalence studies (PPSs) of healthcare-associated infections (HAIs) and to convert prevalence to incidence in steady state setups. Companion package to the preprint Willrich et al., From prevalence to incidence - a new approach in the hospital setting; <doi:10.1101/554725> , where methods are explained in detail.

r-posologyr 1.2.8
Propagated dependencies: r-rxode2@5.0.1 r-mvtnorm@1.3-3 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://levenc.github.io/posologyr/
Licenses: AGPL 3
Build system: r
Synopsis: Individual Dose Optimization using Population Pharmacokinetics
Description:

Personalize drug regimens using individual pharmacokinetic (PK) and pharmacokinetic-pharmacodynamic (PK-PD) profiles. By combining therapeutic drug monitoring (TDM) data with a population model, posologyr offers accurate posterior estimates and helps compute optimal individualized dosing regimens. The empirical Bayes estimates are computed following the method described by Kang et al. (2012) <doi:10.4196/kjpp.2012.16.2.97>.

r-plotdap 1.1.1
Propagated dependencies: r-viridis@0.6.5 r-tidyr@1.3.1 r-sf@1.0-23 r-scales@1.4.0 r-rlang@1.1.6 r-rerddap@1.2.2 r-raster@3.6-32 r-maps@3.4.3 r-mapdata@2.3.1 r-magrittr@2.0.4 r-lubridate@1.9.4 r-lazyeval@0.2.2 r-ggplot2@4.0.1 r-ggnewscale@0.5.2 r-gganimate@1.0.11 r-dplyr@1.1.4 r-cmocean@0.3-2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/rmendels/plotdap
Licenses: Expat
Build system: r
Synopsis: Easily Visualize Data from 'ERDDAP™' Servers via the 'rerddap' Package
Description:

Easily visualize and animate tabledap and griddap objects obtained via the rerddap package in a simple one-line command, using either base graphics or ggplot2 graphics. plotdap handles extracting and reshaping the data, map projections and continental outlines. Optionally the data can be animated through time using the gganmiate package.

r-penguinr 0.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/jpablovargas340/PenguinR
Licenses: GPL 3
Build system: r
Synopsis: Comprehensive Collection of Penguin Datasets for Statistical Analysis and Experimental Design
Description:

Offers a comprehensive collection of penguin-related datasets suitable for descriptive statistics, hypothesis testing, and experimental design. Derived from open ecological and biological sources such as Palmer Station studies, the package integrates datasets covering adult morphology, clutch size, blood isotope composition, and heart rate. It is designed for researchers, students, and educators to explore statistical methods including ANOVA, regression, multivariate analysis, and design of experiments in an accessible and reproducible context.

r-ptmixed 1.1.3
Propagated dependencies: r-numderiv@2016.8-1.1 r-mvtnorm@1.3-3 r-moments@0.14.1 r-matrixcalc@1.0-6 r-lme4@1.1-37 r-glmmadaptive@0.9-7
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://mirkosignorelli.github.io/r
Licenses: GPL 3
Build system: r
Synopsis: Poisson-Tweedie Generalized Linear Mixed Model
Description:

Fits the Poisson-Tweedie generalized linear mixed model described in Signorelli et al. (2021, <doi:10.1177/1471082X20936017>). Likelihood approximation based on adaptive Gauss Hermite quadrature rule.

r-pakpmics2018bh 0.1.0
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/myaseen208/PakPMICS2018bh
Licenses: GPL 2
Build system: r
Synopsis: Multiple Indicator Cluster Survey (MICS) 2017-18 Birth History of Children Questionnaire Data for Punjab, Pakistan
Description:

This package provides data set and function for exploration of Multiple Indicator Cluster Survey (MICS) 2017-18 Household questionnaire data for Punjab, Pakistan. The results of the present survey are critically important for the purposes of SDG monitoring, as the survey produces information on 32 global SDG indicators. The data was collected from 53,840 households selected at the second stage with systematic random sampling out of a sample of 2,692 clusters selected using Probability Proportional to size sampling. Six questionnaires were used in the survey: (1) a household questionnaire to collect basic demographic information on all de jure household members (usual residents), the household, and the dwelling; (2) a water quality testing questionnaire administered in three households in each cluster of the sample; (3) a questionnaire for individual women administered in each household to all women age 15-49 years; (4) a questionnaire for individual men administered in every second household to all men age 15-49 years; (5) an under-5 questionnaire, administered to mothers (or caretakers) of all children under 5 living in the household; and (6) a questionnaire for children age 5-17 years, administered to the mother (or caretaker) of one randomly selected child age 5-17 years living in the household (<http://www.mics.unicef.org/surveys>).

r-preprocessing 0.1.0
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=PreProcessing
Licenses: GPL 3
Build system: r
Synopsis: Various Preprocessing Transformations of Numeric Data Matrices
Description:

Preprocess numeric data matrices into desired transformed representations. Standardization, Unitization, Cubitization and adaptive intervals are offered.

r-paice 1.0.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: <https://github.com/PAICEcode/PAICE>
Licenses: GPL 2
Build system: r
Synopsis: Phylogeographic Analysis of Island Colonization Events
Description:

Estimation of the number of colonization events between islands of the same archipelago for a species. It uses rarefaction curves to control for both field and genetic sample sizes as it was described in Coello et al. (2022) <doi:10.1111/jbi.14341>.

r-plantphysior 1.0.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/rameshram96/plantphysioR
Licenses: GPL 3+
Build system: r
Synopsis: Fundamental Formulas for Plant Physiology
Description:

This package provides functions tailored for scientific and student communities involved in plant science research. Functionalities encompass estimation chlorophyll content according to Arnon (1949) <doi:10.1104/pp.24.1.1>, determination water potential of Polyethylene glycol(PEG)6000 as in Michel and Kaufmann (1973) <doi:10.1104/pp.51.5.914> and functions related to estimation of yield related indices like Abiotic tolerance index as given by Moosavi et al.(2008)<doi:10.22059/JDESERT.2008.27115>, Geometric mean productivity (GMP) by Fernandez (1992) <ISBN:92-9058-081-X>, Golden Mean by Moradi et al.(2012)<doi:10.14207/ejsd.2012.v1n3p543>, HAM by Schneider et al.(1997)<doi:10.2135/cropsci1997.0011183X003700010007x>,MPI and TOL by Hossain etal., (1990)<doi:10.2135/cropsci1990.0011183X003000030030x>, RDI by Fischer et al. (1979)<doi:10.1071/AR9791001>,SSI by Fisher et al.(1978)<doi:10.1071/AR9780897>, STI by Fernandez (1993)<doi:10.22001/wvc.72511>,YSI by Bouslama & Schapaugh (1984)<doi:10.2135/cropsci1984.0011183X002400050026x>, Yield index by Gavuzzi et al.(1997)<doi:10.4141/P96-130>.

r-prometheetools 0.1.0
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/ifelipebj/PrometheeTools
Licenses: GPL 3+
Build system: r
Synopsis: PROMETHEE and GLNF for Ranking and Sorting Problems
Description:

PROMETHEE (Preference Ranking Organisation METHod for Enrichment of Evaluations) based method assesses alternatives to obtain partial and complete rankings. The package also provides the GLNF (Global Local Net Flow) sorting algorithm to classify alternatives into ordered categories, as well as an index function to measure the classification quality. Barrera, F., Segura, M., & Maroto, C. (2023) <doi:10.1111/itor.13288>. Brans, J.P.; De Smet, Y., (2016) <doi:10.1007/978-1-4939-3094-4_6>.

r-prim 1.0.22
Propagated dependencies: r-scales@1.4.0 r-plot3d@1.4.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://www.mvstat.net/tduong/
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Patient Rule Induction Method (PRIM)
Description:

Patient Rule Induction Method (PRIM) for bump hunting in high-dimensional data.

r-pklmtest 1.0.1
Propagated dependencies: r-ranger@0.17.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PKLMtest
Licenses: GPL 3
Build system: r
Synopsis: Classification Based MCAR Test
Description:

Implementation of a KL-based (Kullback-Leibler) test for MCAR (Missing Completely At Random) in the context of missing data as introduced in Michel et al. (2021) <arXiv:2109.10150>.

r-pcensmix 1.2-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pcensmix
Licenses: GPL 2+
Build system: r
Synopsis: Model Fitting to Progressively Censored Mixture Data
Description:

This package provides functions for generating progressively Type-II censored data in a mixture structure and fitting models using a constrained EM algorithm. It can also create a progressive Type-II censored version of a given real dataset to be considered for model fitting.

r-plde 0.1.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=plde
Licenses: GPL 2+
Build system: r
Synopsis: Penalized Log-Density Estimation Using Legendre Polynomials
Description:

We present a penalized log-density estimation method using Legendre polynomials with lasso penalty to adjust estimate's smoothness. Re-expressing the logarithm of the density estimator via a linear combination of Legendre polynomials, we can estimate parameters by maximizing the penalized log-likelihood function. Besides, we proposed an implementation strategy that builds on the coordinate decent algorithm, together with the Bayesian information criterion (BIC).

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