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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-k5 0.2.1
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://k5cents.github.io/k5/
Licenses: GPL 3
Build system: r
Synopsis: Kiernan Nicholls Miscellaneous
Description:

Quality of life functions for interactive programming. Shortcuts for common combinations of functions or different default arguments. Not to be used in production level scripts, but useful for exploring and quickly manipulating data for easy analysis. Also imports a variety of packages to facilitate the installation of those imported packages on the host machine.

r-kzs 1.4.1
Propagated dependencies: r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://cran.r-project.org/package=kzs
Licenses: GPL 2+
Build system: r
Synopsis: Kolmogorov-Zurbenko Spatial Smoothing and Applications
Description:

This package provides a spatial smoothing algorithm based on convolutions of finite rectangular kernels that provides sharp resolution in the presence of high levels of noise.

r-kdevine 0.4.6
Propagated dependencies: r-vinecopula@2.6.1 r-rcpp@1.1.0 r-qrng@0.0-11 r-mass@7.3-65 r-kernsmooth@2.23-26 r-kdecopula@0.9.3 r-foreach@1.5.2 r-doparallel@1.0.17 r-cctools@0.1.3
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://github.com/tnagler/kdevine
Licenses: GPL 3
Build system: r
Synopsis: Multivariate Kernel Density Estimation with Vine Copulas
Description:

This package implements the vine copula based kernel density estimator of Nagler and Czado (2016) <doi:10.1016/j.jmva.2016.07.003>. The estimator does not suffer from the curse of dimensionality and is therefore well suited for high-dimensional applications.

r-kerasnip 0.1.0
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://cran.r-project.org/package=kerasnip
Licenses: Expat
Build system: r
Synopsis: Bridge Between 'keras' and 'tidymodels'
Description:

This package provides a seamless bridge between keras and the tidymodels frameworks. It allows for the dynamic creation of parsnip model specifications for keras models.

r-kaos 0.1.2
Propagated dependencies: r-reshape2@1.4.5 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://cran.r-project.org/package=kaos
Licenses: GPL 2+
Build system: r
Synopsis: Encoding of Sequences Based on Frequency Matrix Chaos Game Representation
Description:

Sequences encoding by using the chaos game representation. Löchel et al. (2019) <doi:10.1093/bioinformatics/btz493>.

r-kitesquare 0.0.2
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://github.com/HUGLeipzig/kitesquare
Licenses: LGPL 3+
Build system: r
Synopsis: Visualize Contingency Tables Using Kite-Square Plots
Description:

Create a kite-square plot for contingency tables using ggplot2', to display their relevant quantities in a single figure (marginal, conditional, expected, observed, chi-squared). The plot resembles a flying kite inside a square if the variables are independent, and deviates from this the more dependence exists.

r-kolaide 0.0.1
Propagated dependencies: r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://github.com/zpneal/KOLaide
Licenses: GPL 3
Build system: r
Synopsis: Pick and Plot Key Opinion Leaders from a Network Given Constraints
Description:

Assists researchers in choosing Key Opinion Leaders (KOLs) in a network to help disseminate or encourage adoption of an innovation by other network members. Potential KOL teams are evaluated using the ABCDE framework (Neal et al., 2025 <doi:10.31219/osf.io/3vxy9_v1>). This framework which considers: (1) the team members Availability, (2) the Breadth of the team's network coverage, (3) the Cost of recruiting a team of a given size, and (4) the Diversity of the team's members, (5) which are pooled into a single Evaluation score.

r-knotr 1.0-4
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://cran.r-project.org/package=knotR
Licenses: GPL 2
Build system: r
Synopsis: Knot Diagrams using Bezier Curves
Description:

Makes visually pleasing diagrams of knot projections using optimized Bezier curves.

r-ksm 1.0
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://cran.r-project.org/package=ksm
Licenses: Expat
Build system: r
Synopsis: Kernel Density Estimation for Random Symmetric Positive Definite Matrices
Description:

Kernel smoothing for Wishart random matrices described in Daayeb, Khardani and Ouimet (2025) <doi:10.48550/arXiv.2506.08816>, Gaussian and log-Gaussian models using least square or likelihood cross validation criteria for optimal bandwidth selection.

r-kensyn 0.3
Propagated dependencies: r-nlme@3.1-168 r-metafor@4.8-0 r-lme4@1.1-37
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: http://www.modelia.org
Licenses: LGPL 3
Build system: r
Synopsis: Knowledge Synthesis in Agriculture - From Experimental Network to Meta-Analysis
Description:

Demo and dataset accompaying the books : De l'analyse des réseaux expérimentaux à la méta-analyse: Méthodes et applications avec le logiciel R pour les sciences agronomiques et environnementales (Published 2018-06-28, Quae, for french version) by David Makowski, Francois Piraux and Francois Brun - <https://www.quae.com/produit/1514/9782759228164/de-l-analyse-des-reseaux-experimentaux-a-la-meta-analyse> Knowledge Synthesis in Agriculture : from Experimental Network to Meta-Analysis (in preparation for 2018-06, Springer , for English version) by David Makowski, Francois Piraux and Francois Brun A full description of all the material is in both books. ACKNOWLEDGMENTS : The French network "RMT modeling and data analysis for agriculture" (<http://www.modelia.org>) have contributed to the development of this R package. This project and network are lead by ACTA (French Technical Institute for Agriculture) and was funded by a grant from the Ministry of Agriculture and Fishing of France.

r-knapsacksampling 0.1.1
Propagated dependencies: r-lpsolve@5.6.23
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://github.com/chinsoon12/KnapsackSampling
Licenses: GPL 2+ FSDG-compatible
Build system: r
Synopsis: Generate Feasible Samples of a Knapsack Problem
Description:

The sampl.mcmc function creates samples of the feasible region of a knapsack problem with both equalities and inequalities constraints.

r-kcsknnshiny 0.1.0
Propagated dependencies: r-shiny@1.11.1 r-rhandsontable@0.3.8 r-fnn@1.1.4.1 r-dplyr@1.1.4 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://cran.r-project.org/package=KCSKNNShiny
Licenses: GPL 2
Build system: r
Synopsis: K-Nearest Neighbour Classifier
Description:

It predicts any attribute (categorical) given a set of input numeric predictor values. Note that only numeric input predictors should be given. The k value can be chosen according to accuracies provided. The attribute to be predicted can be selected from the dropdown provided (select categorical attribute). This is because categorical attributes cannot be given as inputs here. A handsontable is also provided to enter the input predictor values.

r-khq 0.2.0
Propagated dependencies: r-openxlsx@4.2.8.1 r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://github.com/augustobrusaca/KHQ
Licenses: Expat
Build system: r
Synopsis: Methods for Calculating 'KHQ' Scores and 'KHQ5D' Utility Index Scores
Description:

The King's Health Questionnaire (KHQ) is a disease-specific, self-administered questionnaire designed specific to assess the impact of Urinary Incontinence (UI) on Quality of Life. The questionnaire was developed by Kelleher and collaborators (1997) <doi:10.1111/j.1471-0528.1997.tb11006.x>. It is a simple, acceptable and reliable measure to use in the clinical setting and a research tool that is useful in evaluating UI treatment outcomes. The KHQ five dimensions (KHQ5D) is a condition-specific preference-based measure developed by Brazier and collaborators (2008) <doi:10.1177/0272989X07301820>. Although not as popular as the SF6D <doi:10.1016/S0895-4356(98)00103-6> and EQ-5D <https://euroqol.org/>, the KHQ5D measures health-related quality of life (HRQoL) specifically for UI, not general conditions like the others two instruments mentioned. The KHQ5D ca be used in the clinical and economic evaluation of health care. The subject self-rates their health in terms of five dimensions: Role Limitation (RL), Physical Limitations (PL), Social Limitations (SL), Emotions (E), and Sleep (S). Frequently the states on these five dimensions are converted to a single utility index using country specific value sets, which can be used in the clinical and economic evaluation of health care as well as in population health surveys. This package provides methods to calculate scores for each dimension of the KHQ; converts KHQ item scores to KHQ5D scores; and also calculates the utility index of the KHQ5D.

r-knitxl 0.1.0
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://github.com/dreanod/knitxl
Licenses: GPL 3+
Build system: r
Synopsis: Generates a Spreadsheet Report from an 'rmarkdown' File
Description:

Convert an R Markdown documents into an .xlsx spreadsheet reports with the knitxl() function, which works similarly to knit() from the knitr package. The generated report can be opened in Excel or similar software for further analysis and presentation.

r-kfas 1.6.0
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://github.com/helske/KFAS
Licenses: GPL 2+
Build system: r
Synopsis: Kalman Filter and Smoother for Exponential Family State Space Models
Description:

State space modelling is an efficient and flexible framework for statistical inference of a broad class of time series and other data. KFAS includes computationally efficient functions for Kalman filtering, smoothing, forecasting, and simulation of multivariate exponential family state space models, with observations from Gaussian, Poisson, binomial, negative binomial, and gamma distributions. See the paper by Helske (2017) <doi:10.18637/jss.v078.i10> for details.

r-kinematics 1.0.0
Propagated dependencies: r-numderiv@2016.8-1.1
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://cran.r-project.org/package=kinematics
Licenses: Expat
Build system: r
Synopsis: Studying Sampled Trajectories
Description:

Allows analyzing time series representing two-dimensional movements. It accepts a data frame with a time (t), horizontal (x) and vertical (y) coordinate as columns, and returns several dynamical properties such as speed, acceleration or curvature.

r-kfpca 2.0
Propagated dependencies: r-pracma@2.4.6 r-kader@0.0.8 r-fdapace@0.6.0 r-fda@6.3.0
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://cran.r-project.org/package=KFPCA
Licenses: GPL 3+
Build system: r
Synopsis: Kendall Functional Principal Component Analysis
Description:

Implementation for Kendall functional principal component analysis. Kendall functional principal component analysis is a robust functional principal component analysis technique for non-Gaussian functional/longitudinal data. The crucial function of this package is KFPCA() and KFPCA_reg(). Moreover, least square estimates of functional principal component scores are also provided. Refer to Rou Zhong, Shishi Liu, Haocheng Li, Jingxiao Zhang. (2021) <arXiv:2102.01286>. Rou Zhong, Shishi Liu, Haocheng Li, Jingxiao Zhang. (2021) <doi:10.1016/j.jmva.2021.104864>.

r-kdglm 1.2.12
Propagated dependencies: r-rfast@2.1.5.2 r-rdpack@2.6.4 r-generics@0.1.4 r-extradistr@1.10.0
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://silvaneojunior.github.io/kDGLM/
Licenses: GPL 3+
Build system: r
Synopsis: Bayesian Analysis of Dynamic Generalized Linear Models
Description:

Provide routines for filtering and smoothing, forecasting, sampling and Bayesian analysis of Dynamic Generalized Linear Models using the methodology described in Alves et al. (2024)<doi:10.48550/arXiv.2201.05387> and dos Santos Jr. et al. (2024)<doi:10.48550/arXiv.2403.13069>.

r-karsts 2.4.1
Propagated dependencies: r-zoo@1.8-14 r-tserieschaos@0.1-13.1 r-tseries@0.10-58 r-tcltk2@1.6.1 r-stlplus@0.5.1 r-stinepack@1.5 r-rgl@1.3.31 r-plot3d@1.4.2 r-nonlineartseries@0.3.1 r-mvn@6.3 r-missforest@1.6.1 r-mgcv@1.9-4 r-infotheo@1.2.0.1 r-forecast@8.24.0 r-circular@0.5-2
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://cran.r-project.org/package=KarsTS
Licenses: GPL 2+
Build system: r
Synopsis: An Interface for Microclimate Time Series Analysis
Description:

An R code with a GUI for microclimate time series, with an emphasis on underground environments. KarsTS provides linear and nonlinear methods, including recurrence analysis (Marwan et al. (2007) <doi:10.1016/j.physrep.2006.11.001>) and filling methods (Moffat et al. (2007) <doi:10.1016/j.agrformet.2007.08.011>), as well as tools to manipulate easily time series and gap sets.

r-kairos 2.3.0
Propagated dependencies: r-extradistr@1.10.0 r-dimensio@0.14.1 r-arkhe@1.11.0 r-aion@1.7.0
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://codeberg.org/tesselle/kairos
Licenses: GPL 3+
Build system: r
Synopsis: Analysis of Chronological Patterns from Archaeological Count Data
Description:

This package provides a toolkit for absolute and relative dating and analysis of chronological patterns. This package includes functions for chronological modeling and dating of archaeological assemblages from count data. It provides methods for matrix seriation. It also allows to compute time point estimates and density estimates of the occupation and duration of an archaeological site.

r-kbmvtskew 1.1.0
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://cran.r-project.org/package=KbMvtSkew
Licenses: GPL 3+
Build system: r
Synopsis: Khattree-Bahuguna's Univariate and Multivariate Skewness
Description:

Computes Khattree-Bahuguna's univariate and multivariate skewness, principal-component-based Khattree-Bahuguna's multivariate skewness. It also provides several measures of univariate or multivariate skewnesses including, Pearsonâ s coefficient of skewness, Bowleyâ s univariate skewness and Mardia's multivariate skewness. See Khattree, R. and Bahuguna, M. (2019) <doi: 10.1007/s41060-018-0106-1>.

r-kazaam 0.1-0
Propagated dependencies: r-pbdmpi@0.5-4
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: http://r-pbd.org/
Licenses: FSDG-compatible
Build system: r
Synopsis: Tools for Tall Distributed Matrices
Description:

Many data science problems reduce to operations on very tall, skinny matrices. However, sometimes these matrices can be so tall that they are difficult to work with, or do not even fit into main memory. One strategy to deal with such objects is to distribute their rows across several processors. To this end, we offer an S4 class for tall, skinny, distributed matrices, called the shaq'. We also provide many useful numerical methods and statistics operations for operating on these distributed objects. The naming is a bit "tongue-in-cheek", with the class a play on the fact that Shaquille ONeal ('Shaq') is very tall, and he starred in the film Kazaam'.

r-kerdaa 0.1.1
Propagated dependencies: r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://cran.r-project.org/package=kerDAA
Licenses: GPL 2+
Build system: r
Synopsis: New Kernel-Based Test for Differential Association Analysis
Description:

This package provides a new practical method to evaluate whether relationships between two sets of high-dimensional variables are different or not across two conditions. Song, H. and Wu, M.C. (2023) <arXiv:2307.15268>.

r-kappasize 1.2
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://cran.r-project.org/package=kappaSize
Licenses: GPL 2+
Build system: r
Synopsis: Sample Size Estimation Functions for Studies of Interobserver Agreement
Description:

This package contains basic tools for sample size estimation in studies of interobserver/interrater agreement (reliability). Includes functions for both the power-based and confidence interval-based methods, with binary or multinomial outcomes and two through six raters.

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Total results: 69112