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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-uahdatasciencesf 1.0.0
Propagated dependencies: r-magick@2.9.0 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/u.scm (guix-cran packages u)
Home page: https://cran.r-project.org/package=UAHDataScienceSF
Licenses: Expat
Build system: r
Synopsis: Interactive Statistical Learning Functions
Description:

An educational toolkit for learning statistical concepts through interactive exploration. Provides functions for basic statistics (mean, variance, etc.) and probability distributions with step-by-step explanations and interactive learning modes. Each function can be used for simple calculations, detailed learning with explanations, or interactive practice with feedback.

r-uspopcenters 0.2.0
Channel: guix-cran
Location: guix-cran/packages/u.scm (guix-cran packages u)
Home page: https://www.census.gov/geographies/reference-files/time-series/geo/centers-population.html
Licenses: CC0
Build system: r
Synopsis: United States Centers of Population (Centroids)
Description:

Centers of population (centroid) data for census areas in the United States.

r-univrng 1.2.3
Channel: guix-cran
Location: guix-cran/packages/u.scm (guix-cran packages u)
Home page: https://cran.r-project.org/package=UnivRNG
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Univariate Pseudo-Random Number Generation
Description:

Pseudo-random number generation of 17 univariate distributions proposed by Demirtas. (2005) <DOI:10.22237/jmasm/1114907220>.

r-uteals 0.0.2
Channel: guix-cran
Location: guix-cran/packages/u.scm (guix-cran packages u)
Home page: https://github.com/phuse-org/uteals
Licenses: Expat
Build system: r
Synopsis: Shared Utilities to Extend the 'teal' Modules
Description:

This package provides decorators, transformators, and utility functions to extend the teal framework for interactive data analysis applications. Implements methods for data visualization enhancement, statistical data transformations, and workflow integration tools. Designed to support clinical and pharmaceutical research workflows within the teal ecosystem through modular and reusable components.

r-unitcircle 0.1.3
Channel: guix-cran
Location: guix-cran/packages/u.scm (guix-cran packages u)
Home page: https://github.com/BerriJ/UnitCircle
Licenses: GPL 3
Build system: r
Synopsis: Check if Roots of a Polynomial Lie Outside the Unit Circle
Description:

The uc.check() function checks whether the roots of a given polynomial lie outside the Unit circle. You can also easily draw an unit circle.

r-uncertainty 0.3.0
Propagated dependencies: r-triangle@1.0 r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/u.scm (guix-cran packages u)
Home page: https://cran.r-project.org/package=uncertainty
Licenses: GPL 2+
Build system: r
Synopsis: Uncertainty Estimation and Contribution Analysis
Description:

This package implements the Gaussian method of first and second order, the Kragten numerical method and the Monte Carlo simulation method for uncertainty estimation and analysis.

r-uotm 0.1.6
Propagated dependencies: r-hash@2.2.6.3 r-ggplot2@4.0.1 r-forecast@8.24.0 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/u.scm (guix-cran packages u)
Home page: https://cran.r-project.org/package=uotm
Licenses: GPL 3
Build system: r
Synopsis: Uncertainty of Time Series Model Selection Methods
Description:

We propose a new procedure, called model uncertainty variance, which can quantify the uncertainty of model selection on Autoregressive Moving Average models. The model uncertainty variance not pay attention to the accuracy of prediction, but focus on model selection uncertainty and providing more information of the model selection results. And to estimate the model measures, we propose an simplify and faster algorithm based on bootstrap method, which is proven to be effective and feasible by Monte-Carlo simulation. At the same time, we also made some optimizations and adjustments to the Model Confidence Bounds algorithm, so that it can be applied to the time series model selection method. The consistency of the algorithm result is also verified by Monte-Carlo simulation. We propose a new procedure, called model uncertainty variance, which can quantify the uncertainty of model selection on Autoregressive Moving Average models. The model uncertainty variance focuses on model selection uncertainty and providing more information of the model selection results. To estimate the model uncertainty variance, we propose an simplified and faster algorithm based on bootstrap method, which is proven to be effective and feasible by Monte-Carlo simulation. At the same time, we also made some optimizations and adjustments to the Model Confidence Bounds algorithm, so that it can be applied to the time series model selection method. The consistency of the algorithm result is also verified by Monte-Carlo simulation. Please see Li,Y., Luo,Y., Ferrari,D., Hu,X. and Qin,Y. (2019) Model Confidence Bounds for Variable Selection. Biometrics, 75:392-403.<DOI:10.1111/biom.13024> for more information.

r-upndown 0.3.0
Propagated dependencies: r-plyr@1.8.9 r-mass@7.3-65 r-expm@1.0-0 r-cir@2.5.1
Channel: guix-cran
Location: guix-cran/packages/u.scm (guix-cran packages u)
Home page: https://cran.r-project.org/package=upndown
Licenses: GPL 2
Build system: r
Synopsis: Utilities and Design Aids for Up-and-Down Dose-Finding Studies
Description:

Up-and-Down (UD) is the most popular design approach for dose-finding, but it has been severely under-served by the statistical and computing communities. This is the first package that comprehensively addresses UD's needs. Recent applied UD tutorial: Oron et al., 2022 <doi:10.1097/ALN.0000000000004282>. Recent methodological overview: Oron and Flournoy, 2024 <doi:10.51387/24-NEJSDS74>.

r-ultrapolarplot 0.1.1
Channel: guix-cran
Location: guix-cran/packages/u.scm (guix-cran packages u)
Home page: https://cran.r-project.org/package=ultrapolaRplot
Licenses: GPL 3
Build system: r
Synopsis: Plotting Ultrasound Tongue Traces
Description:

Plots traced ultrasound tongue imaging data according to a polar coordinate system. There is currently support for plotting means and standard deviations of each category's trace; Smoothing Splines Analysis of Variance (SSANOVA) could be implemented as well. The origin of the polar coordinates may be defined manually or automatically determined based on different algorithms. Currently ultrapolaRplot supports ultrasound tongue imaging trace data from UltraTrace (<https://github.com/SwatPhonLab/UltraTrace>). UltraTrace is capable of importing data from Articulate Instruments AAA. read_textgrid.R is required for opening TextGrids to determine category and alignment information of ultrasound traces.

r-ustatbookabsc 1.0.0
Channel: guix-cran
Location: guix-cran/packages/u.scm (guix-cran packages u)
Home page: https://cran.r-project.org/package=UStatBookABSC
Licenses: GPL 3
Build system: r
Synopsis: Companion Package to the Book "U-Statistics, M-Estimation and Resampling"
Description:

This package provides a set of functions leading to multivariate response L1 regression. This includes functions on computing Euclidean inner products and norms, weighted least squares estimates on multivariate responses, function to compute fitted values and residuals. This package is a companion to the book "U-Statistics, M-estimation and Resampling", by Arup Bose and Snigdhansu Chatterjee, to appear in 2017 as part of the "Texts and Readings in Mathematics" (TRIM) series of Hindustan Book Agency and Springer-Verlag.

r-unisensr 0.3.4
Propagated dependencies: r-xml@3.99-0.20 r-vroom@1.6.6 r-hexview@0.3-4
Channel: guix-cran
Location: guix-cran/packages/u.scm (guix-cran packages u)
Home page: https://unisens.org/
Licenses: LGPL 2.0+
Build system: r
Synopsis: Read 'Unisens' Data
Description:

This package provides the ability to read Unisens data into R. Unisens is a universal data format for multi sensor data.

r-uniisoregression 0.0-0
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/u.scm (guix-cran packages u)
Home page: https://github.com/xzp1995/UniIsoRegression
Licenses: GPL 2+
Build system: r
Synopsis: Unimodal and Isotonic L1, L2 and Linf Regression
Description:

Perform L1 or L2 isotonic and unimodal regression on 1D weighted or unweighted input vector and isotonic regression on 2D weighted or unweighted input vector. It also performs L infinity isotonic and unimodal regression on 1D unweighted input vector. Reference: Quentin F. Stout (2008) <doi:10.1016/j.csda.2008.08.005>. Spouge, J., Wan, H. & Wilbur, W.(2003) <doi:10.1023/A:1023901806339>. Q.F. Stout (2013) <doi:10.1007/s00453-012-9628-4>.

r-use 0.1.6
Propagated dependencies: r-terra@1.8-86 r-sf@1.0-23 r-ks@1.15.1 r-ggplot2@4.0.1 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/u.scm (guix-cran packages u)
Home page: https://danddr.github.io/USE/
Licenses: GPL 2+
Build system: r
Synopsis: Uniform Sampling of the Environmental Space
Description:

This package provides functions for uniform sampling of the environmental space, designed to assist species distribution modellers in gathering ecologically relevant pseudo-absence data. The method ensures balanced representation of environmental conditions and helps reduce sampling bias in model calibration. Based on the framework described by Da Re et al. (2023) <doi:10.1111/2041-210X.14209>.

r-ubair 1.1.1
Channel: guix-cran
Location: guix-cran/packages/u.scm (guix-cran packages u)
Home page: https://gitlab.opencode.de/uba-ki-lab/ubair
Licenses: GPL 3+
Build system: r
Synopsis: Effects of External Conditions on Air Quality
Description:

Analyzes the impact of external conditions on air quality using counterfactual approaches, featuring methods for data preparation, modeling, and visualization.

r-utest 0.4.0
Channel: guix-cran
Location: guix-cran/packages/u.scm (guix-cran packages u)
Home page: https://github.com/jotlind/utest
Licenses: Expat
Build system: r
Synopsis: Lind/Mehlum Utest
Description:

An implementation of Lind and Mehlum's (2010) <doi:10.1111/j.1468-0084.2009.00569.x> Utest to test for the presence of a U shaped or inverted U shaped relationship between variables in (generalized) linear models. It also implements a test of upward/downward sloping relationships at the lower and upper boundary of the data range.

r-unusualprofile 0.1.4
Channel: guix-cran
Location: guix-cran/packages/u.scm (guix-cran packages u)
Home page: https://github.com/wjschne/unusualprofile
Licenses: GPL 3+
Build system: r
Synopsis: Calculates Conditional Mahalanobis Distances
Description:

Calculates a Mahalanobis distance for every row of a set of outcome variables (Mahalanobis, 1936 <doi:10.1007/s13171-019-00164-5>). The conditional Mahalanobis distance is calculated using a conditional covariance matrix (i.e., a covariance matrix of the outcome variables after controlling for a set of predictors). Plotting the output of the cond_maha() function can help identify which elements of a profile are unusual after controlling for the predictors.

r-uei 0.1.0
Propagated dependencies: r-metrics@0.1.4 r-factominer@2.12 r-factoextra@1.0.7
Channel: guix-cran
Location: guix-cran/packages/u.scm (guix-cran packages u)
Home page: https://cran.r-project.org/package=UEI
Licenses: GPL 3
Build system: r
Synopsis: Compute Uniform Error Index
Description:

Uniform Error Index is the weighted average of different error measures. Uniform Error Index utilizes output from different error function and gives more robust and stable error values. This package has been developed to compute Uniform Error Index from ten different loss function like Error Square, Square of Square Error, Quasi Likelihood Error, LogR-Square, Absolute Error, Absolute Square Error etc. The weights are determined using Principal Component Analysis (PCA) algorithm of Yeasin and Paul (2024) <doi:10.1007/s11227-023-05542-3>.

r-uptimerobot 1.0.0
Channel: guix-cran
Location: guix-cran/packages/u.scm (guix-cran packages u)
Home page: https://gabrielebaldassarre.com/r/uptimerobot
Licenses: Expat
Build system: r
Synopsis: Access the UptimeRobot Ping API
Description:

Provide a set of wrappers to call all the endpoints of UptimeRobot API which includes various kind of ping, keep-alive and speed tests. See <https://uptimerobot.com/> for more information.

r-ubayfs 1.0
Propagated dependencies: r-shiny@1.11.1 r-rdimtools@1.1.3 r-mrmre@2.1.2.2 r-matrixstats@1.5.0 r-hyper2@3.2 r-gridextra@2.3 r-ggplot2@4.0.1 r-ga@3.2.4 r-dirichletreg@0.7-2
Channel: guix-cran
Location: guix-cran/packages/u.scm (guix-cran packages u)
Home page: https://annajenul.github.io/UBayFS/
Licenses: GPL 3
Build system: r
Synopsis: User-Guided Bayesian Framework for Ensemble Feature Selection
Description:

The framework proposed in Jenul et al., (2022) <doi:10.1007/s10994-022-06221-9>, together with an interactive Shiny dashboard. UBayFS is an ensemble feature selection technique embedded in a Bayesian statistical framework. The method combines data and user knowledge, where the first is extracted via data-driven ensemble feature selection. The user can control the feature selection by assigning prior weights to features and penalizing specific feature combinations. UBayFS can be used for common feature selection as well as block feature selection.

r-undidr 3.0.2
Channel: guix-cran
Location: guix-cran/packages/u.scm (guix-cran packages u)
Home page: https://github.com/ebjamieson97/undidR
Licenses: Expat
Build system: r
Synopsis: Difference-in-Differences with Unpoolable Data
Description:

This package provides a framework for estimating difference-in-differences with unpoolable data, based on Karim, Webb, Austin, and Strumpf (2025) <doi:10.48550/arXiv.2403.15910>. Supports common or staggered adoption, multiple groups, and the inclusion of covariates. Also computes p-values for the aggregate average treatment effect on the treated via the randomization inference procedure described in MacKinnon and Webb (2020) <doi:10.1016/j.jeconom.2020.04.024>.

r-vembedr 0.1.5
Propagated dependencies: r-stringr@1.6.0 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-httr@1.4.7 r-htmltools@0.5.8.1 r-glue@1.8.0 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/ijlyttle/vembedr
Licenses: Expat
Build system: r
Synopsis: Embed Video in HTML
Description:

This package provides a set of functions for generating HTML to embed hosted video in your R Markdown documents or Shiny applications.

r-vcbart 1.2.4
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/skdeshpande91/VCBART
Licenses: GPL 3+
Build system: r
Synopsis: Fit Varying Coefficient Models with Bayesian Additive Regression Trees
Description:

Fits linear varying coefficient (VC) models, which assert a linear relationship between an outcome and several covariates but allow that relationship (i.e., the coefficients or slopes in the linear regression) to change as functions of additional variables known as effect modifiers, by approximating the coefficient functions with Bayesian Additive Regression Trees. Implements a Metropolis-within-Gibbs sampler to simulate draws from the posterior over coefficient function evaluations. VC models with independent observations or repeated observations can be fit. For more details see Deshpande et al. (2024) <doi:10.1214/24-BA1470>.

r-vca 1.5.2
Propagated dependencies: r-numderiv@2016.8-1.1 r-matrix@1.7-4 r-lme4@1.1-37
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=VCA
Licenses: GPL 3+
Build system: r
Synopsis: Variance Component Analysis
Description:

ANOVA and REML estimation of linear mixed models is implemented, once following Searle et al. (1991, ANOVA for unbalanced data), once making use of the lme4 package. The primary objective of this package is to perform a variance component analysis (VCA) according to CLSI EP05-A3 guideline "Evaluation of Precision of Quantitative Measurement Procedures" (2014). There are plotting methods for visualization of an experimental design, plotting random effects and residuals. For ANOVA type estimation two methods for computing ANOVA mean squares are implemented (SWEEP and quadratic forms). The covariance matrix of variance components can be derived, which is used in estimating confidence intervals. Linear hypotheses of fixed effects and LS means can be computed. LS means can be computed at specific values of covariables and with custom weighting schemes for factor variables. See ?VCA for a more comprehensive description of the features.

r-vennplot 1.0
Propagated dependencies: r-stringr@1.6.0 r-rgl@1.3.31 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=vennplot
Licenses: GPL 3+
Build system: r
Synopsis: Venn Diagrams in 2D and 3D
Description:

Calculate and plot Venn diagrams in 2D and 3D.

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Total results: 69112