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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-karen 1.0
Propagated dependencies: r-xtable@1.8-4 r-tmvtnorm@1.7 r-stringr@1.6.0 r-scales@1.4.0 r-mvtnorm@1.3-3 r-matrix@1.7-4 r-mass@7.3-65 r-igraph@2.2.1 r-gaussquad@1.0-3 r-expm@1.0-0 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://cran.r-project.org/package=Karen
Licenses: GPL 3
Build system: r
Synopsis: Kalman Reaction Networks
Description:

This is a stochastic framework that combines biochemical reaction networks with extended Kalman filter and Rauch-Tung-Striebel smoothing. This framework allows to investigate the dynamics of cell differentiation from high-dimensional clonal tracking data subject to measurement noise, false negative errors, and systematically unobserved cell types. Our tool can provide statistical support to biologists in gene therapy clonal tracking studies for a deeper understanding of clonal reconstitution dynamics. Further details on the methods can be found in L. Del Core et al., (2022) <doi:10.1101/2022.07.08.499353>.

r-kpc 0.1.2
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://www.jmlr.org/papers/v23/21-493.html
Licenses: GPL 3
Build system: r
Synopsis: Kernel Partial Correlation Coefficient
Description:

Implementations of two empirical versions the kernel partial correlation (KPC) coefficient and the associated variable selection algorithms. KPC is a measure of the strength of conditional association between Y and Z given X, with X, Y, Z being random variables taking values in general topological spaces. As the name suggests, KPC is defined in terms of kernels on reproducing kernel Hilbert spaces (RKHSs). The population KPC is a deterministic number between 0 and 1; it is 0 if and only if Y is conditionally independent of Z given X, and it is 1 if and only if Y is a measurable function of Z and X. One empirical KPC estimator is based on geometric graphs, such as K-nearest neighbor graphs and minimum spanning trees, and is consistent under very weak conditions. The other empirical estimator, defined using conditional mean embeddings (CMEs) as used in the RKHS literature, is also consistent under suitable conditions. Using KPC, a stepwise forward variable selection algorithm KFOCI (using the graph based estimator of KPC) is provided, as well as a similar stepwise forward selection algorithm based on the RKHS based estimator. For more details on KPC, its empirical estimators and its application on variable selection, see Huang, Z., N. Deb, and B. Sen (2022). â Kernel partial correlation coefficient â a measure of conditional dependenceâ (URL listed below). When X is empty, KPC measures the unconditional dependence between Y and Z, which has been described in Deb, N., P. Ghosal, and B. Sen (2020), â Measuring association on topological spaces using kernels and geometric graphsâ <arXiv:2010.01768>, and it is implemented in the functions KMAc() and Klin() in this package. The latter can be computed in near linear time.

r-kcop 1.0.0
Propagated dependencies: r-orthopolynom@1.0-6.1 r-gtools@3.9.5 r-dplyr@1.1.4 r-copula@1.1-7
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://cran.r-project.org/package=Kcop
Licenses: GPL 3+
Build system: r
Synopsis: Smooth Test for Equality of Copulas and Clustering Multivariate
Description:

This package implements approaches of non-parametric smooth test to compare simultaneously K(K>1) copulas and non-parametric clustering of multivariate populations with arbitrary sizes. See Yves I. Ngounou Bakam and Denys Pommeret (2022) <arXiv:2112.05623> and Yves I. Ngounou Bakam and Denys Pommeret (2022) <arXiv:2211.06338>.

r-ksic 1.0.2
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://github.com/urbanjj/KSIC
Licenses: GPL 3+
Build system: r
Synopsis: Korea Standard Industrial Classification (KSIC)
Description:

This package provides tools for working with the Korea Standard Industrial Classification (KSIC). Includes datasets for the 9th, 10th, and 11th revisions. Functions include searching codes and names by keyword, converting codes across revisions, validating KSIC codes, and navigating the classification hierarchy (e.g., identifying parent or child categories). Intended for use in statistical analysis, data processing, and research involving South Koreaâ s industrial classification system.

r-kpart 1.2.2
Propagated dependencies: r-leaps@3.2
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://cran.r-project.org/package=Kpart
Licenses: GPL 2+
Build system: r
Synopsis: Cubic Spline Fitting with Knot Selection
Description:

Cubic spline fitting along with knot selection, includes support for additional variables.

r-karyotapr 1.0.2
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://github.com/joeymays/karyotapR
Licenses: Expat
Build system: r
Synopsis: DNA Copy Number Analysis for Genome-Wide Tapestri Panels
Description:

Analysis of DNA copy number in single cells using custom genome-wide targeted DNA sequencing panels for the Mission Bio Tapestri platform. Users can easily parse, manipulate, and visualize datasets produced from the automated Tapestri Pipeline', with support for normalization, clustering, and copy number calling. Functions are also available to deconvolute multiplexed samples by genotype and parsing barcoded reads from exogenous lentiviral constructs.

r-kalmanfilter 2.2.0
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://cran.r-project.org/package=kalmanfilter
Licenses: GPL 2+
Build system: r
Synopsis: Kalman Filter
Description:

Rcpp implementation of the multivariate Kalman filter for state space models that can handle missing values and exogenous data in the observation and state equations. There is also a function to handle time varying parameters. Kim, Chang-Jin and Charles R. Nelson (1999) "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications" <doi:10.7551/mitpress/6444.001.0001><http://econ.korea.ac.kr/~cjkim/>.

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-kuiper-2samp 1.0
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://cran.r-project.org/package=kuiper.2samp
Licenses: AGPL 3
Build system: r
Synopsis: Two-Sample Kuiper Test
Description:

This function performs the two-sample Kuiper test to assess the anomaly of continuous, one-dimensional probability distributions. References used for this method are (1). Kuiper, N. H. (1960). <DOI:10.1016/S1385-7258(60)50006-0> and (2). Paltani, S. (2004). <DOI:10.1051/0004-6361:20034220>.

r-klausur 0.12-14
Propagated dependencies: r-xtable@1.8-4 r-psych@2.5.6
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://reaktanz.de/?c=hacking&s=klausuR
Licenses: GPL 3+
Build system: r
Synopsis: Multiple Choice Test Evaluation
Description:

This package provides a set of functions designed to quickly generate results of a multiple choice test. Generates detailed global results, lists for anonymous feedback and personalised result feedback (in LaTeX and/or PDF format), as well as item statistics like Cronbach's alpha or disciminatory power. klausuR also includes a plugin for the R GUI and IDE RKWard, providing graphical dialogs for its basic features. The respective R package rkward cannot be installed directly from a repository, as it is a part of RKWard. To make full use of this feature, please install RKWard from <https://rkward.kde.org> (plugins are detected automatically). Due to some restrictions on CRAN, the full package sources are only available from the project homepage.

r-keypress 1.3.1
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://github.com/gaborcsardi/keypress#readme
Licenses: Expat
Build system: r
Synopsis: Wait for a Key Press in a Terminal
Description:

Wait for a single key press at the R prompt. This works in terminals, but does not currently work in the Windows GUI', the OS X GUI ('R.app'), in Emacs ESS', in an Emacs shell buffer or in R Studio'. In these cases keypress stops with an error message.

r-kangar00 1.4.2
Propagated dependencies: r-sqldf@0.4-11 r-lattice@0.22-7 r-igraph@2.2.1 r-data-table@1.17.8 r-compquadform@1.4.4 r-bigmemory@4.6.4
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://kangar00.manitz.org/
Licenses: GPL 2
Build system: r
Synopsis: Kernel Approaches for Nonlinear Genetic Association Regression
Description:

This package provides methods to extract information on pathways, genes and various single-nucleotid polymorphisms (SNPs) from online databases. It provides functions for data preparation and evaluation of genetic influence on a binary outcome using the logistic kernel machine test (LKMT). Three different kernel functions are offered to analyze genotype information in this variance component test: A linear kernel, a size-adjusted kernel and a network-based kernel).

r-kronos 1.0.0
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://github.com/thomazbastiaanssen/kronos
Licenses: GPL 3+
Build system: r
Synopsis: Microbiome Oriented Circadian Rhythm Analysis Toolkit
Description:

The goal of kronos is to provide an easy-to-use framework to analyse circadian or otherwise rhythmic data using the familiar R linear modelling syntax, while taking care of the trigonometry under the hood.

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-kde1d 1.1.1
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://tnagler.github.io/kde1d/
Licenses: Expat
Build system: r
Synopsis: Univariate Kernel Density Estimation
Description:

This package provides an efficient implementation of univariate local polynomial kernel density estimators that can handle bounded and discrete data. See Geenens (2014) <doi:10.48550/arXiv.1303.4121>, Geenens and Wang (2018) <doi:10.48550/arXiv.1602.04862>, Nagler (2018a) <doi:10.48550/arXiv.1704.07457>, Nagler (2018b) <doi:10.48550/arXiv.1705.05431>.

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-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-kris 1.1.6
Propagated dependencies: r-rarpack@0.11-0
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://gitlab.com/kris.ccp/kris
Licenses: Expat
Build system: r
Synopsis: Keen and Reliable Interface Subroutines for Bioinformatic Analysis
Description:

This package provides useful functions which are needed for bioinformatic analysis such as calculating linear principal components from numeric data and Single-nucleotide polymorphism (SNP) dataset, calculating fixation index (Fst) using Hudson method, creating scatter plots in 3 views, handling with PLINK binary file format, detecting rough structures and outliers using unsupervised clustering, and calculating matrix multiplication in the faster way for big data.

r-klar 1.7-4
Propagated dependencies: r-questionr@0.8.2 r-mass@7.3-65 r-combinat@0.0-8
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://statistik.tu-dortmund.de
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Classification and Visualization
Description:

Miscellaneous functions for classification and visualization, e.g. regularized discriminant analysis, sknn() kernel-density naive Bayes, an interface to svmlight and stepclass() wrapper variable selection for supervised classification, partimat() visualization of classification rules and shardsplot() of cluster results as well as kmodes() clustering for categorical data, corclust() variable clustering, variable extraction from different variable clustering models and weight of evidence preprocessing.

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-kindisperse 0.10.2
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://github.com/moshejasper/kindisperse
Licenses: Expat
Build system: r
Synopsis: Simulate and Estimate Close-Kin Dispersal Kernels
Description:

This package provides functions for simulating and estimating kinship-related dispersal. Based on the methods described in M. Jasper, T.L. Schmidt., N.W. Ahmad, S.P. Sinkins & A.A. Hoffmann (2019) <doi:10.1111/1755-0998.13043> "A genomic approach to inferring kinship reveals limited intergenerational dispersal in the yellow fever mosquito". Assumes an additive variance model of dispersal in two dimensions, compatible with Wright's neighbourhood area. Simple and composite dispersal simulations are supplied, as well as the functions needed to estimate parent-offspring dispersal for simulated or empirical data, and to undertake sampling design for future field studies of dispersal. For ease of use an integrated Shiny app is also included.

r-kdensity 1.1.1
Propagated dependencies: r-univariateml@1.5.0 r-eql@1.0-1 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://github.com/JonasMoss/kdensity
Licenses: Expat
Build system: r
Synopsis: Kernel Density Estimation with Parametric Starts and Asymmetric Kernels
Description:

Handles univariate non-parametric density estimation with parametric starts and asymmetric kernels in a simple and flexible way. Kernel density estimation with parametric starts involves fitting a parametric density to the data before making a correction with kernel density estimation, see Hjort & Glad (1995) <doi:10.1214/aos/1176324627>. Asymmetric kernels make kernel density estimation more efficient on bounded intervals such as (0, 1) and the positive half-line. Supported asymmetric kernels are the gamma kernel of Chen (2000) <doi:10.1023/A:1004165218295>, the beta kernel of Chen (1999) <doi:10.1016/S0167-9473(99)00010-9>, and the copula kernel of Jones & Henderson (2007) <doi:10.1093/biomet/asm068>. User-supplied kernels, parametric starts, and bandwidths are supported.

r-krmm 1.0
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://cran.r-project.org/package=KRMM
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Kernel Ridge Mixed Model
Description:

Solves kernel ridge regression, within the the mixed model framework, for the linear, polynomial, Gaussian, Laplacian and ANOVA kernels. The model components (i.e. fixed and random effects) and variance parameters are estimated using the expectation-maximization (EM) algorithm. All the estimated components and parameters, e.g. BLUP of dual variables and BLUP of random predictor effects for the linear kernel (also known as RR-BLUP), are available. The kernel ridge mixed model (KRMM) is described in Jacquin L, Cao T-V and Ahmadi N (2016) A Unified and Comprehensible View of Parametric and Kernel Methods for Genomic Prediction with Application to Rice. Front. Genet. 7:145. <doi:10.3389/fgene.2016.00145>.

r-kriens 0.1
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: http://www.alephdue.com
Licenses: Modified BSD
Build system: r
Synopsis: Continuation Passing Style Development
Description:

This package provides basic functions for Continuation-Passing Style development.

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Total results: 69112