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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-prsr 3.1.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pRSR
Licenses: GPL 2+
Build system: r
Synopsis: Test of Periodicity using Response Surface Regression
Description:

Tests periodicity in short time series using response surface regression.

r-psw 1.1-3
Propagated dependencies: r-hmisc@5.2-4 r-gtools@3.9.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PSW
Licenses: GPL 2+
Build system: r
Synopsis: Propensity Score Weighting Methods for Dichotomous Treatments
Description:

This package provides propensity score weighting methods to control for confounding in causal inference with dichotomous treatments and continuous/binary outcomes. It includes the following functional modules: (1) visualization of the propensity score distribution in both treatment groups with mirror histogram, (2) covariate balance diagnosis, (3) propensity score model specification test, (4) weighted estimation of treatment effect, and (5) augmented estimation of treatment effect with outcome regression. The weighting methods include the inverse probability weight (IPW) for estimating the average treatment effect (ATE), the IPW for average treatment effect of the treated (ATT), the IPW for the average treatment effect of the controls (ATC), the matching weight (MW), the overlap weight (OVERLAP), and the trapezoidal weight (TRAPEZOIDAL). Sandwich variance estimation is provided to adjust for the sampling variability of the estimated propensity score. These methods are discussed by Hirano et al (2003) <DOI:10.1111/1468-0262.00442>, Lunceford and Davidian (2004) <DOI:10.1002/sim.1903>, Li and Greene (2013) <DOI:10.1515/ijb-2012-0030>, and Li et al (2016) <DOI:10.1080/01621459.2016.1260466>.

r-plinkqc 1.0.1
Dependencies: plink@1.07
Propagated dependencies: r-upsetr@1.4.0 r-tidyr@1.3.1 r-sys@3.4.3 r-randomforest@4.7-1.2 r-r-utils@2.13.0 r-optparse@1.7.5 r-igraph@2.2.1 r-ggrepel@0.9.6 r-ggplot2@4.0.1 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://meyer-lab-cshl.github.io/plinkQC/
Licenses: Expat
Build system: r
Synopsis: Genotype Quality Control with 'PLINK'
Description:

Genotyping arrays enable the direct measurement of an individuals genotype at thousands of markers. plinkQC facilitates genotype quality control for genetic association studies as described by Anderson and colleagues (2010) <doi:10.1038/nprot.2010.116>. It makes PLINK basic statistics (e.g. missing genotyping rates per individual, allele frequencies per genetic marker) and relationship functions accessible from R and generates a per-individual and per-marker quality control report. Individuals and markers that fail the quality control can subsequently be removed to generate a new, clean dataset. Removal of individuals based on relationship status is optimised to retain as many individuals as possible in the study. Additionally, there is a trained classifier to predict genomic ancestry of human samples.

r-peacesciencer 1.2.0
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-stevemisc@1.9.0 r-rlang@1.1.6 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-isard@0.1.0 r-geosphere@1.5-20 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/svmiller/peacesciencer/
Licenses: GPL 2
Build system: r
Synopsis: Tools and Data for Quantitative Peace Science Research
Description:

These are useful tools and data sets for the study of quantitative peace science. The goal for this package is to include tools and data sets for doing original research that mimics well what a user would have to previously get from a software package that may not be well-sourced or well-supported. Those software bundles were useful the extent to which they encourage replications of long-standing analyses by starting the data-generating process from scratch. However, a lot of the functionality can be done relatively quickly and more transparently in the R programming language.

r-pedigreetools 0.3
Propagated dependencies: r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/Rpedigree/pedigreeTools/
Licenses: GPL 3
Build system: r
Synopsis: Versatile Functions for Working with Pedigrees
Description:

This package provides tools to sort, edit and prune pedigrees and to extract the inbreeding coefficients and the relationship matrix (includes code for pedigrees from self-pollinated species). The use of pedigree data is central to genetics research within the animal and plant breeding communities to predict breeding values. The relationship matrix between the individuals can be derived from pedigree structure ('Vazquez et al., 2010') <doi:10.2527/jas.2009-1952>.

r-pmetar 0.7.0
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-rcurl@1.98-1.17 r-magrittr@2.0.4 r-lubridate@1.9.4 r-httr2@1.2.1 r-dplyr@1.1.4 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/prcwiek/pmetar
Licenses: GPL 3+
Build system: r
Synopsis: Processing METAR Weather Reports
Description:

Allows to download current and historical METAR weather reports extract and parse basic parameters and present main weather information. Current reports are downloaded from Aviation Weather Center <https://aviationweather.gov/data/metar/> and historical reports from Iowa Environmental Mesonet web page of Iowa State University ASOS-AWOS-METAR <http://mesonet.agron.iastate.edu/AWOS/>.

r-protoclust 1.6.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=protoclust
Licenses: GPL 2
Build system: r
Synopsis: Hierarchical Clustering with Prototypes
Description:

This package performs minimax linkage hierarchical clustering. Every cluster has an associated prototype element that represents that cluster as described in Bien, J., and Tibshirani, R. (2011), "Hierarchical Clustering with Prototypes via Minimax Linkage," The Journal of the American Statistical Association, 106(495), 1075-1084.

r-pcdimension 1.1.14
Propagated dependencies: r-oompabase@3.2.10 r-kernlab@0.9-33 r-cpm@2.3 r-classdiscovery@3.4.9 r-changepoint@2.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: http://oompa.r-forge.r-project.org/
Licenses: ASL 2.0
Build system: r
Synopsis: Finding the Number of Significant Principal Components
Description:

This package implements methods to automate the Auer-Gervini graphical Bayesian approach for determining the number of significant principal components. Automation uses clustering, change points, or simple statistical models to distinguish "long" from "short" steps in a graph showing the posterior number of components as a function of a prior parameter. See <doi:10.1101/237883>.

r-plasma 1.1.5
Propagated dependencies: r-viridislite@0.4.2 r-survival@3.8-3 r-polychrome@1.5.4 r-plsrcox@1.8.0 r-pls@2.8-5 r-oompabase@3.2.10 r-beanplot@1.3.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: http://oompa.r-forge.r-project.org/
Licenses: ASL 2.0
Build system: r
Synopsis: Partial LeAst Squares for Multiomic Analysis
Description:

This package contains tools for supervised analyses of incomplete, overlapping multiomics datasets. Applies partial least squares in multiple steps to find models that predict survival outcomes. See Yamaguchi et al. (2023) <doi:10.1101/2023.03.10.532096>.

r-pepa 1.2
Propagated dependencies: r-rcpparmadillo@15.2.2-1 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=pEPA
Licenses: GPL 3
Build system: r
Synopsis: Tests of Equal Predictive Accuracy for Panels of Forecasts
Description:

Allows to perform the tests of equal predictive accuracy for panels of forecasts. Main references: Qu et al. (2024) <doi:10.1016/j.ijforecast.2023.08.001> and Akgun et al. (2024) <doi:10.1016/j.ijforecast.2023.02.001>.

r-pov 0.1.4
Propagated dependencies: r-formula-tools@1.7.1 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/PaulAntonDeen/POV-R-Package
Licenses: GPL 3
Build system: r
Synopsis: Partition of Variation Variance Component Analysis Method
Description:

An implementation of the Partition Of variation (POV) method as developed by Dr. Thomas A Little <https://thomasalittleconsulting.com> in 1993 for the analysis of semiconductor data for hard drive manufacturing. POV is based on sequential sum of squares and is an exact method that explains all observed variation. It quantitates both the between and within factor variation effects and can quantitate the influence of both continuous and categorical factors.

r-pwrgsd 2.3.8
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PwrGSD
Licenses: GPL 2+
Build system: r
Synopsis: Power in a Group Sequential Design
Description:

This package provides tools for the evaluation of interim analysis plans for sequentially monitored trials on a survival endpoint; tools to construct efficacy and futility boundaries, for deriving power of a sequential design at a specified alternative, template for evaluating the performance of candidate plans at a set of time varying alternatives. See Izmirlian, G. (2014) <doi:10.4310/SII.2014.v7.n1.a4>.

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-pam 2.0.0
Propagated dependencies: r-rlang@1.1.6 r-minpack-lm@1.2-4 r-metrics@0.1.4 r-gridextra@2.3 r-ggthemes@5.1.0 r-ggplot2@4.0.1 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/biotoolbox/pam
Licenses: GPL 3
Build system: r
Synopsis: Fast and Efficient Processing of PAM Data
Description:

Processing Chlorophyll Fluorescence & P700 Absorbance data. Four models are provided for the regression of Pi curves, which can be compared with each other in order to select the most suitable model for the data set. Control plots ensure the successful verification of each regression. Bundled output of alpha, ETRmax, Ik etc. enables fast and reliable further processing of the data.

r-pqrfe 1.3
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 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=pqrfe
Licenses: GPL 2+
Build system: r
Synopsis: Penalized Quantile Regression with Fixed Effects
Description:

Quantile regression with fixed effects is a general model for longitudinal data. Here we proposed to solve it by several methods. The estimation methods include three loss functions as check, asymmetric least square and asymmetric Huber functions; and three structures as simple regression, fixed effects and fixed effects with penalized intercepts by LASSO.

r-profileci 1.1.1
Propagated dependencies: r-itp@1.2.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://paulnorthrop.github.io/profileCI/
Licenses: GPL 3+
Build system: r
Synopsis: Profiling a Log-Likelihood to Calculate Confidence Intervals
Description:

This package provides tools for profiling a user-supplied log-likelihood function to calculate confidence intervals for model parameters. Speed of computation can be improved by adjusting the step sizes in the profiling and/or starting the profiling from limits based on the approximate large sample normal distribution for the maximum likelihood estimator of a parameter. The accuracy of the limits can be set by the user. A plot method visualises the log-likelihood and confidence interval. Cases where the profile log-likelihood flattens above the value at which a confidence limit is defined can be handled, leading to a limit at plus or minus infinity. Disjoint confidence intervals will not be found.

r-psre 0.4
Propagated dependencies: r-viztest@0.6 r-tidyr@1.3.1 r-tibble@3.3.0 r-sm@2.2-6.0 r-rlang@1.1.6 r-nortest@1.0-4 r-multcomp@1.4-29 r-mgcv@1.9-4 r-mass@7.3-65 r-marginaleffects@0.31.0 r-magrittr@2.0.4 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-fancova@0.6-1 r-dplyr@1.1.4 r-cowplot@1.2.0 r-car@3.1-3 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=psre
Licenses: GPL 2+
Build system: r
Synopsis: Presenting Statistical Results Effectively
Description:

Includes functions and data used in the book "Presenting Statistical Results Effectively", Andersen and Armstrong (2022, ISBN: 978-1446269800). Several functions aid in data visualization - creating compact letter displays for simple slopes, kernel density estimates with normal density overlay. Other functions aid in post-model evaluation heatmap fit statistics for binary predictors, several variable importance measures, compact letter displays and simple-slope calculation. Finally, the package makes available the example datasets used in the book.

r-platevision 0.1.0
Propagated dependencies: r-stringr@1.6.0 r-readxl@1.4.5 r-plotly@4.11.0 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=PlateVision
Licenses: GPL 3
Build system: r
Synopsis: Automated qPCR Analysis and Visual Quality Control
Description:

Directly pipes raw quantitative PCR (qPCR) machine outputs into downstream analyses using the comparative Ct (Delta-Delta Ct) method described by Livak and Schmittgen (2001) <doi:10.1006/meth.2001.1262>. Streamlines the workflow from Excel export to publication-ready plots. Integrates unique visual quality control by reconstructing 96-well plate heatmaps, allowing users to instantly detect pipetting errors, edge effects, and outliers. Key features include automated error propagation, laboratory master mix calculations, and generation of bar charts and volcano plots.

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-phantsem 1.0.1
Propagated dependencies: r-tidyr@1.3.1 r-lavaan@0.6-20 r-dplyr@1.1.4 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=phantSEM
Licenses: Expat
Build system: r
Synopsis: Create Phantom Variables in Structural Equation Models for Sensitivity Analyses
Description:

Create phantom variables, which are variables that were not observed, for the purpose of sensitivity analyses for structural equation models. The package makes it easier for a user to test different combinations of covariances between the phantom variable(s) and observed variables. The package may be used to assess a model's or effect's sensitivity to temporal bias (e.g., if cross-sectional data were collected) or confounding bias.

r-pugmm 0.1.2
Propagated dependencies: r-rcpp@1.1.0 r-ppclust@1.1.0.1 r-mcompanion@0.6 r-mclust@6.1.2 r-matrix@1.7-4 r-mass@7.3-65 r-manlymix@0.1.15.1 r-igraph@2.2.1 r-foreach@1.5.2 r-doparallel@1.0.17 r-clusterr@1.3.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/giorgiazaccaria/PUGMM
Licenses: Expat
Build system: r
Synopsis: Parsimonious Ultrametric Gaussian Mixture Models
Description:

Parsimonious Ultrametric Gaussian Mixture Models via grouped coordinate ascent (equivalent to EM) algorithm characterized by the inspection of hierarchical relationships among variables via parsimonious extended ultrametric covariance structures. The methodologies are described in Cavicchia, Vichi, Zaccaria (2024) <doi:10.1007/s11222-024-10405-9>, (2022) <doi:10.1007/s11634-021-00488-x> and (2020) <doi:10.1007/s11634-020-00400-z>.

r-phylin 2.0.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://www.r-project.org
Licenses: GPL 2+
Build system: r
Synopsis: Spatial Interpolation of Genetic Data
Description:

The spatial interpolation of genetic distances between samples is based on a modified kriging method that accepts a genetic distance matrix and generates a map of probability of lineage presence. This package also offers tools to generate a map of potential contact zones between groups with user-defined thresholds in the tree to account for old and recent divergence. Additionally, it has functions for IDW interpolation using genetic data and midpoints.

r-permalgo 1.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PermAlgo
Licenses: GPL 2
Build system: r
Synopsis: Permutational Algorithm to Simulate Survival Data
Description:

This version of the permutational algorithm generates a dataset in which event and censoring times are conditional on an user-specified list of covariates, some or all of which are time-dependent.

r-pgtools 1.0.2
Propagated dependencies: r-toolbox@0.1.1 r-stringi@1.8.7 r-odbc@1.6.4.1 r-dbi@1.2.3 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/tconwell/pgTools
Licenses: GPL 3+
Build system: r
Synopsis: Functions for Generating PostgreSQL Statements/Scripts
Description:

Create PostgreSQL statements/scripts from R, optionally executing the SQL statements. Common SQL operations are included, although not every configurable option is available at this time. SQL output is intended to be compliant with PostgreSQL syntax specifications. PostgreSQL documentation is available here <https://www.postgresql.org/docs/current/index.html>.

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