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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-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-psymetadata 1.0.1
Propagated dependencies: r-rdpack@2.6.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=psymetadata
Licenses: GPL 2+
Build system: r
Synopsis: Open Datasets from Meta-Analyses in Psychology Research
Description:

Data and examples from meta-analyses in psychology research.

r-popreconstruct 1.0-6
Propagated dependencies: r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=popReconstruct
Licenses: GPL 3
Build system: r
Synopsis: Reconstruct Human Populations of the Recent Past
Description:

This package implements the Bayesian hierarchical model described by Wheldon, Raftery, Clark and Gerland (see: <doi:10.1080/01621459.2012.737729>) for simultaneously estimating age-specific population counts, fertility rates, mortality rates and net international migration flows, at the national level.

r-photosynthesislrc 1.0.6
Propagated dependencies: r-tidyr@1.3.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/heliotropichuman/photosynthesisLRC
Licenses: Expat
Build system: r
Synopsis: Nonlinear Least Squares Models for Photosynthetic Light Response
Description:

This package provides functions for modeling, comparing, and visualizing photosynthetic light response curves using established mechanistic and empirical models like the rectangular hyperbola Michaelis-Menton based models ((eq1 (Baly (1935) <doi:10.1098/rspb.1935.0026>)) (eq2 (Kaipiainenn (2009) <doi:10.1134/S1021443709040025>)) (eq3 (Smith (1936) <doi:10.1073/pnas.22.8.504>))), hyperbolic tangent based models ((eq4 (Jassby & Platt (1976) <doi:10.4319/LO.1976.21.4.0540>)) (eq5 (Abe et al. (2009) <doi:10.1111/j.1444-2906.2008.01619.x>))), the non-rectangular hyperbola model (eq6 (Prioul & Chartier (1977) <doi:10.1093/oxfordjournals.aob.a085354>)), exponential based models ((eq8 (Webb et al. (1974) <doi:10.1007/BF00345747>)), (eq9 (Prado & de Moraes (1997) <doi:10.1007/BF02982542>))), and finally the Ye model (eq11 (Ye (2007) <doi:10.1007/s11099-007-0110-5>)). Each of these nonlinear least squares models are commonly used to express photosynthetic response under changing light conditions and has been well supported in the literature, but distinctions in each mathematical model represent moderately different assumptions about physiology and trait relationships which ultimately produce different calculated functional trait values. These models were all thoughtfully discussed and curated by Lobo et al. (2013) <doi:10.1007/s11099-013-0045-y> to express the importance of selecting an appropriate model for analysis, and methods were established in Davis et al. (in review) to evaluate the impact of analytical choice in phylogenetic analysis of the function-valued traits. Gas exchange data on 28 wild sunflower species from Davis et al.are included as an example data set here.

r-path-chain 1.0.0
Propagated dependencies: r-stringi@1.8.7 r-rlang@1.1.6
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/krzjoa/path.chain
Licenses: Expat
Build system: r
Synopsis: Concise Structure for Chainable Paths
Description:

This package provides path_chain class and functions, which facilitates loading and saving directory structure in YAML configuration files via config package. The file structure you created during exploration can be transformed into legible section in the config file, and then easily loaded for further usage.

r-pubmed-miner 1.0.21
Propagated dependencies: r-xml@3.99-0.20 r-rjsonio@2.0.0 r-rcurl@1.98-1.17 r-r2html@2.3.4 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pubmed.mineR
Licenses: GPL 3
Build system: r
Synopsis: Text Mining of PubMed Abstracts
Description:

Text mining of PubMed Abstracts (text and XML) from <https://pubmed.ncbi.nlm.nih.gov/>.

r-ph2bye 0.1.4
Propagated dependencies: r-vgam@1.1-13 r-rcpp@1.1.0 r-nleqslv@3.3.5 r-animation@2.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://allen.shinyapps.io/BayesDesign/
Licenses: GPL 2+
Build system: r
Synopsis: Phase II Clinical Trial Design Using Bayesian Methods
Description:

Calculate the Bayesian posterior/predictive probability and determine the sample size and stopping boundaries for single-arm Phase II design.

r-pasensewear 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=PASenseWear
Licenses: GPL 2
Build system: r
Synopsis: Summarize Daily Physical Activity from 'SenseWear' Accelerometer Data
Description:

Provide summary table of daily physical activity and per-person/grouped heat map for accelerometer data from SenseWear Armband. See <https://templehealthcare.wordpress.com/the-sensewear-armband/> for more information about SenseWear Armband.

r-photobiologyinout 0.4.32
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-suncalcmeeus@0.1.3 r-stringr@1.6.0 r-readxl@1.4.5 r-readr@2.1.6 r-photobiology@0.14.1 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-dplyr@1.1.4 r-colorspec@1.8-0 r-anytime@0.3.12
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://docs.r4photobiology.info/photobiologyInOut/
Licenses: GPL 2+
Build system: r
Synopsis: Read Spectral and Logged Data from Foreign Files
Description:

This package provides functions for reading, and in some cases writing, foreign files containing spectral data from spectrometers and their associated software, output from daylight simulation models in common use, and some spectral data repositories. As well as functions for exchange of spectral data with other R packages. Part of the r4photobiology suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.

r-personalized2part 0.0.2
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-personalized@0.2.8 r-hdtweedie@1.2 r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/jaredhuling/personalized2part
Licenses: GPL 2+
Build system: r
Synopsis: Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Description:

This package implements the methodology of Huling, Smith, and Chen (2020) <doi:10.1080/01621459.2020.1801449>, which allows for subgroup identification for semi-continuous outcomes by estimating individualized treatment rules. It uses a two-part modeling framework to handle semi-continuous data by separately modeling the positive part of the outcome and an indicator of whether each outcome is positive, but still results in a single treatment rule. High dimensional data is handled with a cooperative lasso penalty, which encourages the coefficients in the two models to have the same sign.

r-psyntur 0.1.1
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-rlang@1.1.6 r-purrr@1.2.0 r-psych@2.5.6 r-plyr@1.8.9 r-magrittr@2.0.4 r-ggthemes@5.1.0 r-ggplot2@4.0.1 r-ggally@2.4.0 r-formula-tools@1.7.1 r-fastdummies@1.7.5 r-effsize@0.8.1 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=psyntur
Licenses: GPL 3
Build system: r
Synopsis: Helper Tools for Teaching Statistical Data Analysis
Description:

This package provides functions and data-sets that are helpful for teaching statistics and data analysis. It was originally designed for use when teaching students in the Psychology Department at Nottingham Trent University.

r-plis 1.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PLIS
Licenses: GPL 3
Build system: r
Synopsis: Multiplicity Control using Pooled LIS Statistic
Description:

This package provides a multiple testing procedure for testing several groups of hypotheses is implemented. Linear dependency among the hypotheses within the same group is modeled by using hidden Markov Models. It is noted that a smaller p value does not necessarily imply more significance due to the dependency. A typical application is to analyze genome wide association studies datasets, where SNPs from the same chromosome are treated as a group and exhibit strong linear genomic dependency. See Wei Z, Sun W, Wang K, Hakonarson H (2009) <doi:10.1093/bioinformatics/btp476> for more details.

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-pollen 0.83.0
Propagated dependencies: r-purrr@1.2.0 r-lubridate@1.9.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://jakubnowosad.com/pollen/
Licenses: Expat
Build system: r
Synopsis: Analysis of Aerobiological Data
Description:

Supports analysis of aerobiological data. Available features include determination of pollen season limits, replacement of outliers (Kasprzyk and Walanus (2014) <doi:10.1007/s10453-014-9332-8>), calculation of growing degree days (Baskerville and Emin (1969) <doi:10.2307/1933912>), and determination of the base temperature for growing degree days (Yang et al. (1995) <doi:10.1016/0168-1923(94)02185-M).

r-predtest 0.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PredTest
Licenses: Expat
Build system: r
Synopsis: Preparing Data For, and Calculating the Prediction Test
Description:

Global hypothesis tests combine information across multiple endpoints to test a single hypothesis. The prediction test is a recently proposed global hypothesis test with good performance for small sample sizes and many endpoints of interest. The test is also flexible in the types and combinations of expected results across the individual endpoints. This package provides functions for data processing and calculation of the prediction test.

r-prithulib 1.0.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=prithulib
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Perform Random Experiments
Description:

Enables user to perform the following: 1. Roll n number of die/dice (roll()). 2. Toss n number of coin(s) (toss()). 3. Play the game of Rock, Paper, Scissors. 4. Choose n number of card(s) from a pack of 52 playing cards (Joker optional).

r-pcalibrate 0.2-1
Propagated dependencies: r-mcmcpack@1.7-1 r-exact2x2@1.7.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pCalibrate
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Calibrations of p-Values
Description:

This package implements transformations of p-values to the smallest possible Bayes factor within the specified class of alternative hypotheses, as described in Held & Ott (2018, <doi:10.1146/annurev-statistics-031017-100307>). Covers several common testing scenarios such as z-tests, t-tests, likelihood ratio tests and the F-test.

r-probitspatial 1.1
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-rann@2.6.2 r-numderiv@2016.8-1.1 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=ProbitSpatial
Licenses: GPL 2+
Build system: r
Synopsis: Probit with Spatial Dependence, SAR, SEM and SARAR Models
Description:

Fast estimation of binomial spatial probit regression models with spatial autocorrelation for big datasets.

r-postinfectious 0.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=postinfectious
Licenses: GPL 2
Build system: r
Synopsis: Estimating the Incubation Period Distribution of Post-Infectious Syndrome
Description:

This package provides functions to estimate the incubation period distribution of post-infectious syndrome which is defined as the time between the symptom onset of the antecedent infection and that of the post-infectious syndrome.

r-popgenr 0.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://global.oup.com/academic/product/population-genetics-with-r-9780198829546?cc=gb&lang=en#
Licenses: CC0
Build system: r
Synopsis: Accompaniment to Population Genetics with R: An Introduction for Life Scientists
Description:

This package provides several data sets and functions to accompany the book "Population Genetics with R: An Introduction for Life Scientists" (2021, ISBN:9780198829546).

r-pomaspu 1.0.0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrixstats@1.5.0 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=POMaSPU
Licenses: GPL 3+
Build system: r
Synopsis: Adaptive Association Tests for Multiple Phenotypes using Proportional Odds Model (POM-aSPU)
Description:

POM-aSPU test evaluates an association between an ordinal response and multiple phenotypes, for details see Kim and Pan (2017) <DOI:10.1002/gepi.22033>.

r-ppbigdata 1.0.0
Propagated dependencies: r-weights@1.1.2 r-tourr@1.2.6 r-rstiefel@1.0.1 r-mclust@6.1.2 r-mass@7.3-65 r-magrittr@2.0.4 r-gtools@3.9.5 r-dplyr@1.1.4 r-datanugget@1.4.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PPbigdata
Licenses: GPL 2
Build system: r
Synopsis: Projection Pursuit for Big Data Based on Data Nuggets
Description:

Perform 1-dim/2-dim projection pursuit, grand tour and guided tour for big data based on data nuggets. Reference papers: [1] Beavers et al., (2024) <doi:10.1080/10618600.2024.2341896>. [2] Duan, Y., Cabrera, J., & Emir, B. (2023). "A New Projection Pursuit Index for Big Data." <doi:10.48550/arXiv.2312.06465>.

r-praznik 12.0.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://gitlab.com/mbq/praznik
Licenses: GPL 3
Build system: r
Synopsis: Tools for Information-Based Feature Selection and Scoring
Description:

This package provides a toolbox of fast, native and parallel implementations of various information-based importance criteria estimators and feature selection filters based on them, inspired by the overview by Brown, Pocock, Zhao and Lujan (2012) <https://www.jmlr.org/papers/v13/brown12a.html>. Contains, among other, minimum redundancy maximal relevancy ('mRMR') method by Peng, Long and Ding (2005) <doi:10.1109/TPAMI.2005.159>; joint mutual information ('JMI') method by Yang and Moody (1999) <https://papers.nips.cc/paper/1779-data-visualization-and-feature-selection-new-algorithms-for-nongaussian-data>; double input symmetrical relevance ('DISR') method by Meyer and Bontempi (2006) <doi:10.1007/11732242_9> as well as joint mutual information maximisation ('JMIM') method by Bennasar, Hicks and Setchi (2015) <doi:10.1016/j.eswa.2015.07.007>.

r-pedalfast-data 1.0.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pedalfast.data
Licenses: GPL 2
Build system: r
Synopsis: PEDALFAST Data
Description:

Data files and documentation for PEDiatric vALidation oF vAriableS in TBI (PEDALFAST). The data was used in "Functional Status Scale in Children With Traumatic Brain Injury: A Prospective Cohort Study" by Bennett, Dixon, et al (2016) <doi:10.1097/PCC.0000000000000934>.

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Total results: 68658