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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 search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-pkgkitten 0.2.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/eddelbuettel/pkgkitten
Licenses: GPL 2+
Build system: r
Synopsis: Create Simple Packages Which Do not Upset R Package Checks
Description:

This package provides a function kitten() which creates cute little packages which pass R package checks. This sets it apart from package.skeleton() which it calls, and which leaves imperfect files behind. As this is not exactly helpful for beginners, kitten() offers an alternative. Unit test support can be added via the tinytest package (if present), and documentation-creation support can be added via roxygen2 (if present).

r-propublicar 1.1.4
Propagated dependencies: r-stringr@1.6.0 r-lubridate@1.9.5 r-httr@1.4.8 r-dplyr@1.2.1 r-config@0.3.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=ProPublicaR
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Access Functions for ProPublica's APIs
Description:

This package provides wrapper functions to access the ProPublica's Congress and Campaign Finance APIs. The Congress API provides near real-time access to legislative data from the House of Representatives, the Senate and the Library of Congress. The Campaign Finance API provides data from United States Federal Election Commission filings and other sources. The API covers summary information for candidates and committees, as well as certain types of itemized data. For more information about these APIs go to: <https://www.propublica.org/datastore/apis>.

r-prf 1.2
Propagated dependencies: r-reshape2@1.4.5 r-randomforest@4.7-1.2 r-permute@0.9-10 r-multtest@2.68.0 r-ggplot2@4.0.3 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pRF
Licenses: GPL 3
Build system: r
Synopsis: Permutation Significance for Random Forests
Description:

Estimate False Discovery Rates (FDRs) for importance metrics from random forest runs.

r-protrackr2 0.1.1
Propagated dependencies: r-lifecycle@1.0.5 r-cpp11@0.5.5 r-audio@0.1-12
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://pepijn-devries.github.io/ProTrackR2/
Licenses: GPL 3+
Build system: r
Synopsis: Manipulate and Play 'ProTracker' Modules
Description:

ProTracker is a popular music tracker to sequence music on a Commodore Amiga machine. This package offers the opportunity to import, export, manipulate and play ProTracker module files. Even though the file format could be considered archaic, it still remains popular to this date. This package intends to contribute to this popularity and therewith keeping the legacy of ProTracker and the Commodore Amiga alive. This package is the successor of ProTrackR providing better performance.

r-pptreeext 0.1.0
Propagated dependencies: r-shiny@1.13.0 r-rcpparmadillo@15.2.6-1 r-rcpp@1.1.1-1.1 r-pptreeviz@2.0.4 r-mixsim@1.1-8 r-mass@7.3-65 r-gridextra@2.3 r-ggplot2@4.0.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/natydasilva/PPtreeExt
Licenses: GPL 2+
Build system: r
Synopsis: Projection Pursuit Classification Tree Extensions
Description:

This package implements extensions to the projection pursuit tree algorithm for supervised classification, see Lee, Y. (2013), <doi:10.1214/13-EJS810> and Lee, E-K. (2018) <doi:10.18637/jss.v083.i08>. The algorithm is changed in two ways: improving prediction boundaries by modifying the choice of split points-through class subsetting; and increasing flexibility by allowing multiple splits per group.

r-politicsr 0.1.0
Propagated dependencies: r-ineq@0.2-13
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=politicsR
Licenses: GPL 3+
Build system: r
Synopsis: Calculating Political System Metrics
Description:

This package provides a toolbox to facilitate the calculation of political system indicators for researchers. This package offers a variety of basic indicators related to electoral systems, party systems, elections, and parliamentary studies, as well as others. Main references are: Loosemore and Hanby (1971) <doi:10.1017/S000712340000925X>; Gallagher (1991) <doi:10.1016/0261-3794(91)90004-C>; Laakso and Taagepera (1979) <doi:10.1177/001041407901200101>; Rae (1968) <doi:10.1177/001041406800100305>; HirschmaÅ (1945) <ISBN:0-520-04082-1>; Kesselman (1966) <doi:10.2307/1953769>; Jones and Mainwaring (2003) <doi:10.1177/13540688030092002>; Rice (1925) <doi:10.2307/2142407>; Pedersen (1979) <doi:10.1111/j.1475-6765.1979.tb01267.x>; SANTOS (2002) <ISBN:85-225-0395-8>.

r-persomicsarray 1.0
Propagated dependencies: r-tiff@0.1-12 r-stringr@1.6.0 r-raster@3.6-32 r-jpeg@0.1-11
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PersomicsArray
Licenses: GPL 3
Build system: r
Synopsis: Automated Persomics Array Image Extraction
Description:

Automated identification of printed array positions from high content microscopy images and the export of those positions as individual images written to output as multi-layered tiff files.

r-periodics 0.5.0
Propagated dependencies: r-rms@8.1-1 r-hmisc@5.2-5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=peRiodiCS
Licenses: GPL 3
Build system: r
Synopsis: Functions for Generating Periodic Curves
Description:

This package provides functions for generating variants of curves: restricted cubic spline, periodic restricted cubic spline, periodic cubic spline. Periodic splines can be used to model data that has periodic nature / seasonality.

r-predictme 0.1
Propagated dependencies: r-reshape2@1.4.5 r-rdpack@2.6.6 r-ggplot2@4.0.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/mmiche/predictMe
Licenses: Expat
Build system: r
Synopsis: Visualize Individual Prediction Performance
Description:

Enables researchers to visualize the prediction performance of any algorithm on the individual level (or close to it), given that the predicted outcome is either binary or continuous. Visual results are instantly comprehensible.

r-proae 1.0.4
Propagated dependencies: r-magrittr@2.0.5 r-kableextra@1.4.0 r-hmisc@5.2-5 r-gridextra@2.3 r-ggtext@0.1.2 r-ggplot2@4.0.3 r-ggpattern@1.3.1 r-ggnewscale@0.5.2 r-dplyr@1.2.1 r-desctools@0.99.60
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=ProAE
Licenses: GPL 3
Build system: r
Synopsis: PRO-CTCAE Scoring, Analysis, and Graphical Tools
Description:

This package provides a collection of tools to facilitate standardized analysis and graphical procedures when using the National Cancer Instituteâ s Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) and other PRO measurements.

r-pdxtrees 0.5.1
Propagated dependencies: r-rlang@1.2.0 r-magrittr@2.0.5 r-dplyr@1.2.1
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-psinference 0.2.2
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/ricardomourarpm/PSinference
Licenses: GPL 2+
Build system: r
Synopsis: Inference for Released Plug-in Sampling Single Synthetic Dataset
Description:

Considering the singly imputed synthetic data generated via plug-in sampling under the multivariate normal model, draws inference procedures including the generalized variance, the sphericity test, the test for independence between two subsets of variables, and the test for the regression of one set of variables on the other. For more details see Klein et al. (2021) <doi:10.1007/s13571-019-00215-9>.

r-parsec 1.2.9
Propagated dependencies: r-netrankr@1.2.4 r-igraph@2.3.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=parsec
Licenses: GPL 2+
Build system: r
Synopsis: Partial Orders in Socio-Economics
Description:

This package implements tools for the analysis of partially ordered data, with a particular focus on the evaluation of multidimensional systems of indicators and on the analysis of poverty. References, Fattore M. (2016) <doi:10.1007/s11205-015-1059-6> Fattore M., Arcagni A. (2016) <doi:10.1007/s11205-016-1501-4> Arcagni A. (2017) <doi:10.1007/978-3-319-45421-4_19>.

r-polycub 0.9.4
Propagated dependencies: r-sp@2.2-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/bastistician/polyCub
Licenses: GPL 2
Build system: r
Synopsis: Cubature over Polygonal Domains
Description:

Numerical integration of continuously differentiable functions f(x,y) over simple closed polygonal domains. The following cubature methods are implemented: product Gauss cubature (Sommariva and Vianello, 2007, <doi:10.1007/s10543-007-0131-2>), the simple two-dimensional midpoint rule (wrapping spatstat.geom functions), and adaptive cubature for radially symmetric functions via line integrate() along the polygon boundary (Meyer and Held, 2014, <doi:10.1214/14-AOAS743>, Supplement B). For simple integration along the axes, the cubature package is more appropriate.

r-pterp 1.0
Propagated dependencies: r-survival@3.8-6 r-mvtnorm@1.3-7 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=PTERP
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: PTE and RP for Optimally-Transformed Surrogate
Description:

Evaluates the strength of a surrogate marker by estimating the proportion of treatment effect explained (PTE) and relative power(RP) for the optimally-transformed version of the surrogate. Details available in Wang et al (2022) <arXiv:2209.08414>.

r-parttree 0.1.3
Propagated dependencies: r-tinyplot@0.6.1 r-rpart@4.1.27 r-rlang@1.2.0 r-partykit@1.2-27 r-data-table@1.18.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://grantmcdermott.com/parttree/
Licenses: Expat
Build system: r
Synopsis: Visualize Simple 2-D Decision Tree Partitions
Description:

Visualize the partitions of simple decision trees, involving one or two predictors, on the scale of the original data. Provides an intuitive alternative to traditional tree diagrams, by visualizing how a decision tree divides the predictor space in a simple 2D plot alongside the original data. The parttree package supports both classification and regression trees from rpart and partykit', as well as trees produced by popular frontend systems like tidymodels and mlr3'. Visualization methods are provided for both base R graphics and ggplot2'.

r-privacyr 1.0.1
Propagated dependencies: r-lubridate@1.9.5 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=privacyR
Licenses: Expat
Build system: r
Synopsis: Privacy-Preserving Data Anonymization
Description:

This package provides tools for anonymizing sensitive patient and research data. Helps protect privacy while keeping data useful for analysis. Anonymizes IDs, names, dates, locations, and ages while maintaining referential integrity. Methods based on: Sweeney (2002) <doi:10.1142/S0218488502001648>, Dwork et al. (2006) <doi:10.1007/11681878_14>, El Emam et al. (2011) <doi:10.1371/journal.pone.0028071>, Fung et al. (2010) <doi:10.1145/1749603.1749605>.

r-pim 2.0.4
Propagated dependencies: r-nleqslv@3.3.7 r-bb@2026.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/CenterForStatistics-UGent/pim
Licenses: GPL 2+
Build system: r
Synopsis: Fit Probabilistic Index Models
Description:

Fit a probabilistic index model as described in Thas et al, 2012: <doi:10.1111/j.1467-9868.2011.01020.x>. The interface to the modeling function has changed in this new version. The old version is still available at R-Forge.

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-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-psim 0.1.0
Propagated dependencies: r-tidyverse@2.0.0 r-matrixstats@1.5.0 r-magrittr@2.0.5 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/luana1909/PSIM
Licenses: GPL 3
Build system: r
Synopsis: Preference Selection Index Method (PSIM)
Description:

The Preference Selection Index Method was created in (2010) and provides an innovative approach to determining the relative importance of criteria without pairwise comparisons, unlike the Analytic Hierarchy Process. The Preference Selection Index Method uses statistical methods to calculate the criteria weights and reflects their relative importance in the final decision-making process, offering an objective and non-subjective solution. This method is beneficial in multi-criteria decision analysis. The PSIM package provides a practical and accessible tool for implementing the Preference Selection Index Method in R. It calculates the weights of criteria and makes the method available to researchers, analysts, and professionals without the need to develop complex calculations manually. More details about the Preference Selection Index Method can be found in Maniya K. and Bhatt M. G.(2010) <doi:10.1016/j.matdes.2009.11.020>.

r-predhy 2.1.2
Propagated dependencies: r-xgboost@3.2.1.1 r-pls@2.9-0 r-lightgbm@4.6.0 r-glmnet@5.0 r-foreach@1.5.2 r-doparallel@1.0.17 r-bglr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=predhy
Licenses: GPL 3
Build system: r
Synopsis: Genomic Prediction of Hybrid Performance
Description:

This package performs genomic prediction of hybrid performance using eight statistical methods including GBLUP, BayesB, RKHS, PLS, LASSO, EN, LightGBM and XGBoost along with additive and additive-dominance models. Users are able to incorporate parental phenotypic information in all methods based on their specific needs. (Xu S et al(2017) <doi:10.1534/g3.116.038059>; Xu Y et al (2021) <doi: 10.1111/pbi.13458>).

r-paramhetero 1.0.0
Propagated dependencies: r-mass@7.3-65 r-ggplot2@4.0.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=paramhetero
Licenses: GPL 3
Build system: r
Synopsis: Numeric and Visual Comparisons of Heterogeneity in Parametric Models
Description:

This package performs statistical tests to compare coefficients and residual variance across models. Also provides graphical methods for assessing heterogeneity in coefficients and residuals. Currently supports linear and generalized linear models.

r-pmcalibration 0.2.0
Propagated dependencies: r-survival@3.8-6 r-pbapply@1.7-4 r-mgcv@1.9-4 r-mass@7.3-65 r-hmisc@5.2-5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/stephenrho/pmcalibration
Licenses: GPL 3
Build system: r
Synopsis: Calibration Curves for Clinical Prediction Models
Description:

Fit calibrations curves for clinical prediction models and calculate several associated metrics (Eavg, E50, E90, Emax). Ideally predicted probabilities from a prediction model should align with observed probabilities. Calibration curves relate predicted probabilities (or a transformation thereof) to observed outcomes via a flexible non-linear smoothing function. pmcalibration allows users to choose between several smoothers (regression splines, generalized additive models/GAMs, lowess, loess). Both binary and time-to-event outcomes are supported. See Van Calster et al. (2016) <doi:10.1016/j.jclinepi.2015.12.005>; Austin and Steyerberg (2019) <doi:10.1002/sim.8281>; Austin et al. (2020) <doi:10.1002/sim.8570>.

Total packages: 72693