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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-powernlsem 0.1.2
Propagated dependencies: r-stringr@1.6.0 r-rlang@1.1.6 r-pbapply@1.7-4 r-numderiv@2016.8-1.1 r-mvtnorm@1.3-3 r-lavaan@0.6-20 r-ggplot2@4.0.1 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/jpirmer/powerNLSEM
Licenses: GPL 3
Build system: r
Synopsis: Simulation-Based Power Estimation (MSPE) for Nonlinear SEM
Description:

Model-implied simulation-based power estimation (MSPE) for nonlinear (and linear) SEM, path analysis and regression analysis. A theoretical framework is used to approximate the relation between power and sample size for given type I error rates and effect sizes. The package offers an adaptive search algorithm to find the optimal N for given effect sizes and type I error rates. Plots can be used to visualize the power relation to N for different parameters of interest (POI). Theoretical justifications are given in Irmer et al. (2024a) <doi:10.31219/osf.io/pe5bj> and detailed description are given in Irmer et al. (2024b) <doi:10.3758/s13428-024-02476-3>.

r-pwlmm 1.1.2
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-matrix@1.7-4 r-lme4@1.1-37
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pwlmm
Licenses: GPL 2+
Build system: r
Synopsis: PWIGLS for Two-Level Multivariate and Multilevel Linear Models
Description:

Estimates two-level multilevel linear model and two-level multivariate linear multilevel model with weights following Probability Weighted Iterative Generalised Least Squares approach. For details see Veiga et al.(2014) <doi:10.1111/rssc.12020>.

r-pharmaverseraw 0.1.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://pharmaverse.github.io/pharmaverseraw/
Licenses: ASL 2.0
Build system: r
Synopsis: Raw Data for 'pharmaversesdtm' Package
Description:

This package provides a set of raw datasets used to create SDTM domains in pharmaversesdtm package.

r-primarycensored 1.4.0
Propagated dependencies: r-pracma@2.4.6
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://primarycensored.epinowcast.org
Licenses: Expat
Build system: r
Synopsis: Primary Event Censored Distributions
Description:

This package provides functions for working with primary event censored distributions and Stan implementations for use in Bayesian modeling. Primary event censored distributions are useful for modeling delayed reporting scenarios in epidemiology and other fields (Charniga et al. (2024) <doi:10.48550/arXiv.2405.08841>). It also provides support for arbitrary delay distributions, a range of common primary distributions, and allows for truncation and secondary event censoring to be accounted for (Park et al. (2024) <doi:10.1101/2024.01.12.24301247>). A subset of common distributions also have analytical solutions implemented, allowing for faster computation. In addition, it provides multiple methods for fitting primary event censored distributions to data via optional dependencies.

r-prefer 0.1.3
Propagated dependencies: r-mcmc@0.9-8 r-entropy@1.3.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/jlepird/prefeR
Licenses: Expat
Build system: r
Synopsis: R Package for Pairwise Preference Elicitation
Description:

Allows users to derive multi-objective weights from pairwise comparisons, which research shows is more repeatable, transparent, and intuitive other techniques. These weights can be rank existing alternatives or to define a multi-objective utility function for optimization.

r-phscs 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-purrr@1.2.0 r-jsonlite@2.0.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://yng-me.github.io/phscs/
Licenses: Expat
Build system: r
Synopsis: Philippine Statistical Classification Systems
Description:

This package provides a unified interface to access and manipulate various Philippine statistical classifications. It allows users to retrieve, filter, and harmonize classification data, making it easier to work with Philippine statistical data in R.

r-piecenorms 1.1.0
Propagated dependencies: r-vdiffr@1.0.8 r-univariateml@1.5.0 r-scales@1.4.0 r-rlang@1.1.6 r-r6@2.6.1 r-dplyr@1.1.4 r-coinr@1.1.14 r-classint@0.4-11
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/david-hammond/piecenorms
Licenses: Expat
Build system: r
Synopsis: Calculate a Piecewise Normalised Score Using Class Intervals
Description:

This package provides an implementation of piecewise normalisation techniques useful when dealing with the communication of skewed and highly skewed data. It also provides utilities that recommends a normalisation technique based on the distribution of the data.

r-picohdr 0.1.1
Propagated dependencies: r-ctypesio@0.1.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/coolbutuseless/picohdr
Licenses: Expat
Build system: r
Synopsis: Read, Write and Manipulate High Dynamic Range Images
Description:

High Dynamic Range (HDR) images support a large range in luminosity between the lightest and darkest regions of an image. To capture this range, data in HDR images is often stored as floating point numbers and in formats that capture more data and channels than standard image types. This package supports reading and writing two types of HDR images; PFM (Portable Float Map) and OpenEXR images. HDR images can be converted to lower dynamic ranges (for viewing) using tone-mapping. A number of tone-mapping algorithms are included which are based on Reinhard (2002) "Photographic tone reproduction for digital images" <doi:10.1145/566654.566575>.

r-pvars 1.1.1
Propagated dependencies: r-vars@1.6-1 r-svars@1.3.12 r-steadyica@1.0.1 r-scales@1.4.0 r-reshape2@1.4.5 r-pbapply@1.7-4 r-mass@7.3-65 r-ggplot2@4.0.1 r-expm@1.0-0 r-deoptim@2.2-8 r-copula@1.1-7 r-clue@0.3-66
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/Lenni89/pvars
Licenses: Expat
Build system: r
Synopsis: VAR Modeling for Heterogeneous Panels
Description:

This package implements (1) panel cointegration rank tests, (2) estimators for panel vector autoregressive (VAR) models, and (3) identification methods for panel structural vector autoregressive (SVAR) models as described in the accompanying vignette. The implemented functions allow to account for cross-sectional dependence and for structural breaks in the deterministic terms of the VAR processes. Among the large set of functions, particularly noteworthy are those that implement (1) the correlation-augmented inverse normal test on the cointegration rank by Arsova and Oersal (2021, <doi:10.1016/j.ecosta.2020.05.002>), (2) the two-step estimator for pooled cointegrating vectors by Breitung (2005, <doi:10.1081/ETC-200067895>), and (3) the pooled identification based on independent component analysis by Herwartz and Wang (2024, <doi:10.1002/jae.3044>).

r-phylepic 0.3.0
Propagated dependencies: r-tidygraph@1.3.1 r-scales@1.4.0 r-rlang@1.1.6 r-lifecycle@1.0.4 r-igraph@2.2.1 r-ggraph@2.2.2 r-ggplot2@4.0.1 r-ggnewscale@0.5.2 r-forcats@1.0.1 r-dplyr@1.1.4 r-cowplot@1.2.0 r-cli@3.6.5 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/cidm-ph/phylepic
Licenses: Expat
Build system: r
Synopsis: Combined Visualisation of Phylogenetic and Epidemiological Data
Description:

This package provides a collection of utilities and ggplot2 extensions to assist with visualisations in genomic epidemiology. This includes the phylepic chart, a visual combination of a phylogenetic tree and a matched epidemic curve. The included ggplot2 extensions such as date axes binned by week are relevant for other applications in epidemiology and beyond. The approach is described in Suster et al. (2024) <doi:10.1101/2024.04.02.24305229>.

r-prism-forecast 0.2.1
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/ryanddyi/prism
Licenses: GPL 2
Build system: r
Synopsis: Penalized Regression with Inferred Seasonality Module - Forecasting Unemployment Initial Claims using 'Google Trends' Data
Description:

This package implements Penalized Regression with Inferred Seasonality Module (PRISM) to generate forecast estimation of weekly unemployment initial claims using Google Trends data. It includes required data and tools for backtesting the performance in 2007-2020.

r-predictsr 0.2.0
Propagated dependencies: r-logger@0.4.1 r-jsonlite@2.0.0 r-httr2@1.2.1 r-glue@1.8.0 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://biodiversity-futures-lab.github.io/predictsr/
Licenses: Expat
Build system: r
Synopsis: Access the 'PREDICTS' Biodiversity Database
Description:

Fetches the PREDICTS database and relevant metadata from the Data Portal at the Natural History Museum, London <https://data.nhm.ac.uk>. Data were collated from over 400 existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from sites around the world. These data are described in Hudson et al. (2013) <doi:10.1002/ece3.2579>.

r-primes 1.6.1
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/ironholds/primes
Licenses: Expat
Build system: r
Synopsis: Fast Functions for Prime Numbers
Description:

Fast functions for dealing with prime numbers, such as testing whether a number is prime and generating a sequence prime numbers. Additional functions include finding prime factors and Ruth-Aaron pairs, finding next and previous prime numbers in the series, finding or estimating the nth prime, estimating the number of primes less than or equal to an arbitrary number, computing primorials, prime k-tuples (e.g., twin primes), finding the greatest common divisor and smallest (least) common multiple, testing whether two numbers are coprime, and computing Euler's totient function. Most functions are vectorized for speed and convenience.

r-pdynmc 0.9.12
Propagated dependencies: r-rdpack@2.6.4 r-optimx@2025-4.9 r-matrix@1.7-4 r-mass@7.3-65 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/markusfritsch/pdynmc
Licenses: GPL 2+
Build system: r
Synopsis: Moment Condition Based Estimation of Linear Dynamic Panel Data Models
Description:

Linear dynamic panel data modeling based on linear and nonlinear moment conditions as proposed by Holtz-Eakin, Newey, and Rosen (1988) <doi:10.2307/1913103>, Ahn and Schmidt (1995) <doi:10.1016/0304-4076(94)01641-C>, and Arellano and Bover (1995) <doi:10.1016/0304-4076(94)01642-D>. Estimation of the model parameters relies on the Generalized Method of Moments (GMM) and instrumental variables (IV) estimation, numerical optimization (when nonlinear moment conditions are employed) and the computation of closed form solutions (when estimation is based on linear moment conditions). One-step, two-step and iterated estimation is available. For inference and specification testing, Windmeijer (2005) <doi:10.1016/j.jeconom.2004.02.005> and doubly corrected standard errors (Hwang, Kang, Lee, 2021 <doi:10.1016/j.jeconom.2020.09.010>) are available. Additionally, serial correlation tests, tests for overidentification, and Wald tests are provided. Functions for visualizing panel data structures and modeling results obtained from GMM estimation are also available. The plot methods include functions to plot unbalanced panel structure, coefficient ranges and coefficient paths across GMM iterations (the latter is implemented according to the plot shown in Hansen and Lee, 2021 <doi:10.3982/ECTA16274>). For a more detailed description of the GMM-based functionality, please see Fritsch, Pua, Schnurbus (2021) <doi:10.32614/RJ-2021-035>. For more details on the IV-based estimation routines, see Fritsch, Pua, and Schnurbus (WP, 2024) and Han and Phillips (2010) <doi:10.1017/S026646660909063X>.

r-penmsm 0.99
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=penMSM
Licenses: GPL 2+
Build system: r
Synopsis: Estimating Regularized Multi-state Models Using L1 Penalties
Description:

Structured fusion Lasso penalized estimation of multi-state models with the penalty applied to absolute effects and absolute effect differences (i.e., effects on transition-type specific hazard rates).

r-posratiodist 1.2.1
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=PosRatioDist
Licenses: GPL 2+
Build system: r
Synopsis: Quotient of Random Variables Conditioned to the Positive Quadrant
Description:

Computes the exact probability density function of X/Y conditioned on positive quadrant for series of bivariate distributions,for more details see Nadarajah,Song and Si (2019) <DOI:10.1080/03610926.2019.1576893>.

r-pvcurveanalysis 1.0.0
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=pvcurveanalysis
Licenses: Expat
Build system: r
Synopsis: Analysis of Pressure Volume Curves
Description:

Enables the manufacturing, analysis and display of pressure volume curves. From the progression of the curves, turgor loss point, osmotic potential and apoplastic fraction can be derived. Methods adapted from Bartlett, Scoffoni and Sack (2012) <doi:10.1111/j.1461-0248.2012.01751.x>.

r-productivity 1.1.0
Propagated dependencies: r-lpsolveapi@5.5.2.0-17.14 r-iterators@1.0.14 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=productivity
Licenses: GPL 3
Build system: r
Synopsis: Indices of Productivity Using Data Envelopment Analysis (DEA)
Description:

Levels and changes of productivity and profitability are measured with various indices. The package contains the multiplicatively complete Färe-Primont, Fisher, Hicks-Moorsteen, Laspeyres, Lowe, and Paasche indices, as well as the classic Malmquist productivity index. Färe-Primont and Lowe indices verify the transitivity property and can therefore be used for multilateral or multitemporal comparison. Fisher, Hicks-Moorsteen, Laspeyres, Malmquist, and Paasche indices are not transitive and are only to be used for binary comparison. All indices can also be decomposed into different components, providing insightful information on the sources of productivity and profitability changes. In the use of Malmquist productivity index, the technological change index can be further decomposed into bias technological change components. The package also allows to prohibit technological regression (negative technological change). In the case of the Fisher, Hicks-Moorsteen, Laspeyres, Paasche and the transitive Färe-Primont and Lowe indices, it is furthermore possible to rule out technological change. Deflated shadow prices can also be obtained. Besides, the package allows parallel computing as an option, depending on the user's computer configuration. All computations are carried out with the nonparametric Data Envelopment Analysis (DEA), and several assumptions regarding returns to scale are available. All DEA linear programs are implemented using lp_solve'.

r-prtree 1.0.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PRTree
Licenses: GPL 3+
Build system: r
Synopsis: Probabilistic Regression Trees
Description:

Implementation of Probabilistic Regression Trees (PRTree), providing functions for model fitting and prediction, with specific adaptations to handle missing values. The main computations are implemented in Fortran for high efficiency. The package is based on the PRTree methodology described in Alkhoury et al. (2020), "Smooth and Consistent Probabilistic Regression Trees" <https://proceedings.neurips.cc/paper_files/paper/2020/file/8289889263db4a40463e3f358bb7c7a1-Paper.pdf>. Details on the treatment of missing data and implementation aspects are presented in Prass, T.S.; Neimaier, A.S.; Pumi, G. (2025), "Handling Missing Data in Probabilistic Regression Trees: Methods and Implementation in R" <doi:10.48550/arXiv.2510.03634>.

r-pci 1.0.1
Propagated dependencies: r-vek@1.0.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/samsemegne/pci
Licenses: GPL 3
Build system: r
Synopsis: Collection of Process Capability Index Functions
Description:

This package provides a collection of process capability index functions, such as C_p(), C_pk(), C_pm(), and others, along with metadata about each, like LaTeX equations and R expressions. Its primary purpose is to form a foundation for other quality control packages to build on top of, by providing basic resources and functions. The indices belong to the field of statistical quality control, and quantify the degree to which a manufacturing process is able to create items that adhere to a certain standard of quality. For details see Montgomery, D. C. (2019, ISBN:978-1-119-39930-8).

r-pk 1.3-6
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PK
Licenses: GPL 2
Build system: r
Synopsis: Basic Non-Compartmental Pharmacokinetics
Description:

Estimation of pharmacokinetic parameters using non-compartmental theory.

r-pharmaverse 0.0.2
Propagated dependencies: r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/pharmaverse/pharmaverse-pkg
Licenses: Expat
Build system: r
Synopsis: Navigate 'Pharmaverse'
Description:

The pharmaverse is a set of packages that compose multiple pathways through clinical data generation and reporting in the pharmaceutical industry. This package is designed to guide users to our work-spaces on GitHub', Slack and LinkedIn as well as our website and examples. Learn more about the pharmaverse at <https://pharmaverse.org>.

r-phase12compare 1.5
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 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=Phase12Compare
Licenses: GPL 2
Build system: r
Synopsis: Simulates SPSO and Efftox Phase 12 Trials with Correlated Outcomes
Description:

Simulating and conducting four phase 12 clinical trials with correlated binary bivariate outcomes described. Uses the Efftox (efficacy and toxicity tradeoff, <https://biostatistics.mdanderson.org/SoftwareDownload/SingleSoftware/Index/2>) and SPSO (Semi-Parametric Stochastic Ordering) models with Utility and Desirability based objective functions for dose finding.

r-pqtldata 0.5
Propagated dependencies: r-rdpack@2.6.4 r-knitr@1.50
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://jinghuazhao.github.io/pQTLdata/
Licenses: Expat
Build system: r
Synopsis: Collection of Proteome Panels and Meta-Data
Description:

It aggregates protein panel data and metadata for protein quantitative trait locus (pQTL) analysis using pQTLtools (<https://jinghuazhao.github.io/pQTLtools/>). The package includes data from affinity-based panels such as Olink (<https://olink.com/>) and SomaScan (<https://somalogic.com/>), as well as mass spectrometry-based panels from CellCarta (<https://cellcarta.com/>) and Seer (<https://seer.bio/>). The metadata encompasses updated annotations and publication details.

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Total results: 69112