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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-kehra 0.1
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-stringr@1.6.0 r-sp@2.2-0 r-reshape2@1.4.5 r-raster@3.6-32 r-hmisc@5.2-4
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://github.com/kehraProject/r_kehra
Licenses: GPL 3
Build system: r
Synopsis: Collect, Assemble and Model Air Pollution, Weather and Health Data
Description:

Collection of utility functions used in the KEHRA project (see http://www.brunel.ac.uk/ife/britishcouncil). It refers to the multidimensional analysis of air pollution, weather and health data.

r-kmd 0.1.0
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://cran.r-project.org/package=KMD
Licenses: GPL 3
Build system: r
Synopsis: Kernel Measure of Multi-Sample Dissimilarity
Description:

Implementations of the kernel measure of multi-sample dissimilarity (KMD) between several samples using K-nearest neighbor graphs and minimum spanning trees. The KMD measures the dissimilarity between multiple samples, based on the observations from them. It converges to the population quantity (depending on the kernel) which is between 0 and 1. A small value indicates the multiple samples are from the same distribution, and a large value indicates the corresponding distributions are different. The population quantity is 0 if and only if all distributions are the same, and 1 if and only if all distributions are mutually singular. The package also implements the tests based on KMD for H0: the M distributions are equal against H1: not all the distributions are equal. Both permutation test and asymptotic test are available. These tests are consistent against all alternatives where at least two samples have different distributions. For more details on KMD and the associated tests, see Huang, Z. and B. Sen (2022) <arXiv:2210.00634>.

r-kirby21-fmri 1.8.0
Propagated dependencies: r-kirby21-base@1.7.3
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://www.nitrc.org/projects/multimodal/
Licenses: GPL 2
Build system: r
Synopsis: Example Functional Imaging Data from the Multi-Modal MRI 'Reproducibility' Resource
Description:

Functional magnetic resonance imaging ('fMRI') data from the Kirby21 reproducibility study <doi:10.1016/j.neuroimage.2010.11.047>.

r-kuzco 0.1.0
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://frankiethull.github.io/kuzco/
Licenses: Expat
Build system: r
Synopsis: Computer Vision with Large Language Models
Description:

Make computer vision tasks approachable in R by leveraging Large Language Models. Providing fine-tuned prompts, boilerplate functions, and input/output helpers for common computer vision workflows, such as classifying and describing images. Functions are designed to take images as input and return structured data, helping users build practical applications with minimal code.

r-klustr 0.1.0
Propagated dependencies: r-jsonlite@2.0.0 r-htmlwidgets@1.6.4
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://mckaymdavis.github.io/klustR/
Licenses: GPL 3+
Build system: r
Synopsis: D3 Dynamic Cluster Visualizations
Description:

Used to create dynamic, interactive D3.js based parallel coordinates and principal component plots in R'. The plots make visualizing k-means or other clusters simple and informative.

r-kidney-epi 1.4.0
Propagated dependencies: r-readxl@1.4.5 r-purrr@1.2.0 r-openxlsx@4.2.8.1
Channel: guix-cran
Location: guix-cran/packages/k.scm (guix-cran packages k)
Home page: https://Scientific-Tools.Org/
Licenses: LGPL 2.0+
Build system: r
Synopsis: Kidney-Related Functions for Clinical and Epidemiological Research
Description:

This package contains kidney care oriented functions. Current version contains functions for calculation of: - Estimated glomerular filtration rate by CKD-EPI (2021 and 2009), MDRD, CKiD, FAS, EKFC, etc. - Kidney Donor Risk Index and Kidney Donor Profile Index for kidney transplant donors. - Citation: Bikbov B. kidney.epi: Kidney-Related Functions for Clinical and Epidemiological Research. Scientific-Tools.Org, <https://Scientific-Tools.Org>. <doi:10.32614/CRAN.package.kidney.epi>.

r-libbib 1.6.4
Propagated dependencies: r-xml2@1.5.0 r-stringr@1.6.0 r-pbapply@1.7-4 r-data-table@1.17.8 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=libbib
Licenses: GPL 3
Build system: r
Synopsis: Various Utilities for Library Science/Assessment and Cataloging
Description:

This package provides functions for validating and normalizing bibliographic codes such as ISBN, ISSN, and LCCN. Also includes functions to communicate with the WorldCat API, translate Call numbers (Library of Congress and Dewey Decimal) to their subject classifications or subclassifications, and provides various loadable data files such call number / subject crosswalks and code tables.

r-litterfitter 0.1.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: http://traitecoevo.github.io/litterfitter/
Licenses: Expat
Build system: r
Synopsis: Fits a Collection of Curves to Single-Cohort Decomposition Data
Description:

Fit different model forms to single-cohort litter decomposition data (mass remaining through time) using likelihood-based estimation. Models span simple empirical to process-motivated forms with differing numbers of free parameters. Provides parameter estimates, uncertainty, and tools for model comparison/selection. Based on Cornwell & Weedon (2013) <doi:10.1111/2041-210X.12138>.

r-llogistic 1.0.3
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=llogistic
Licenses: GPL 3
Build system: r
Synopsis: The L-Logistic Distribution
Description:

Density, distribution function, quantile function and random generation for the L-Logistic distribution with parameters m and phi. The parameter m is the median of the distribution.

r-locus 1.0
Propagated dependencies: r-mass@7.3-65 r-ica@1.0-3 r-far@0.6-7
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LOCUS
Licenses: GPL 2
Build system: r
Synopsis: Low-Rank Decomposition of Brain Connectivity Matrices with Uniform Sparsity
Description:

To decompose symmetric matrices such as brain connectivity matrices so that one can extract sparse latent component matrices and also estimate mixing coefficients, a blind source separation (BSS) method named LOCUS was proposed in Wang and Guo (2023) <arXiv:2008.08915>. For brain connectivity matrices, the outputs correspond to sparse latent connectivity traits and individual-level trait loadings.

r-lbpg 0.1.2
Propagated dependencies: r-gsl@2.1-9
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LBPG
Licenses: GPL 3
Build system: r
Synopsis: The Length-Biased Power Garima Distribution
Description:

The Length-Biased Power Garima distribution for computes the probability density, the cumulative density distribution and the quantile function of the distribution, and generates sample values with random variables based on Kittipong and Sirinapa(2021)<DOI: 10.14456/sjst-psu.2021.89>.

r-likelihood-model 0.9.1
Propagated dependencies: r-r6@2.6.1 r-numderiv@2016.8-1.1 r-mvtnorm@1.3-3 r-generics@0.1.4 r-boot@1.3-32 r-algebraic-mle@0.9.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/queelius/likelihood.model
Licenses: Expat
Build system: r
Synopsis: Likelihood-Based Statistical Inference in the Fisherian Tradition
Description:

Facilitates building likelihood models in the Fisherian tradition following Richard Royall (1997, ISBN:978-0412044113) "Statistical Evidence: A Likelihood Paradigm". Defines generic methods for working with likelihoods (loglik(), score(), hess_loglik(), fim()) and provides functions for pure likelihood-based inference (support(), relative_likelihood(), likelihood_interval(), profile_loglik()). Includes a likelihood contributions model for heterogeneous observation types (exact, censored, etc.) assuming i.i.d. data.

r-lehuynh 0.1.1
Propagated dependencies: r-usethis@3.2.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rio@1.2.4 r-readxl@1.4.5 r-purrr@1.2.0 r-magrittr@2.0.4 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-fs@1.6.6 r-dplyr@1.1.4 r-brms@2.23.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/le-huynh/lehuynh
Licenses: Expat
Build system: r
Synopsis: Le-Huynh Truc-Ly's R Code and Templates
Description:

Miscellaneous R functions (for graphics, data import, data transformation, and general utilities) and templates (for exploratory analysis, Bayesian modeling, and crafting scientific manuscripts).

r-lpksample 2.1
Propagated dependencies: r-mclust@6.1.2 r-lpgraph@2.1 r-igraph@2.2.1 r-apcluster@1.4.14
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LPKsample
Licenses: GPL 2
Build system: r
Synopsis: LP Nonparametric High Dimensional K-Sample Comparison
Description:

LP nonparametric high-dimensional K-sample comparison method that includes (i) confirmatory test, (ii) exploratory analysis, and (iii) options to output a data-driven LP-transformed matrix for classification. The primary reference is Mukhopadhyay, S. and Wang, K. (2020, Biometrika); <arXiv:1810.01724>.

r-learningrlab 2.4
Propagated dependencies: r-magick@2.9.0 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LearningRlab
Licenses: FSDG-compatible
Build system: r
Synopsis: Statistical Learning Functions
Description:

Aids in learning statistical functions incorporating the result of calculus done with each function and how they are obtained, that is, which equation and variables are used. Also for all these equations and their related variables detailed explanations and interactive exercises are also included. All these characteristics allow to the package user to improve the learning of statistics basics by means of their use.

r-loadshaper 1.1.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=loadshaper
Licenses: GPL 3
Build system: r
Synopsis: Producing Load Shape with Target Peak and Load Factor
Description:

Modifying a load shape to match specific peak and load factor is a fundamental component for various power system planning and operation studies. This package is an efficient tool to modify a reference load shape while matching the desired peak and load factor. The package offers both linear and non-linear method, described in <https://rpubs.com/riazakhan94/load_shape_match_peak_energy>. The user can control the shape of the final load shape by regulating certain parameters. The package provides validation metrics for assessing the derived load shape in terms of preserving time series properties. It also offers powerful graphics, that allows the user to visually assess the derived load shape.

r-lwfbrook90r 0.6.3
Propagated dependencies: r-vegperiod@0.4.0 r-progressr@0.18.0 r-parallelly@1.45.1 r-iterators@1.0.14 r-future@1.68.0 r-foreach@1.5.2 r-dofuture@1.1.2 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://pschmidtwalter.github.io/LWFBrook90R/
Licenses: GPL 3
Build system: r
Synopsis: Simulate Evapotranspiration and Soil Moisture with the SVAT Model LWF-Brook90
Description:

This package provides a flexible and easy-to use interface for the soil vegetation atmosphere transport (SVAT) model LWF-BROOK90, written in Fortran. The model simulates daily transpiration, interception, soil and snow evaporation, streamflow and soil water fluxes through a soil profile covered with vegetation, as described in Hammel & Kennel (2001, ISBN:978-3-933506-16-0) and Federer et al. (2003) <doi:10.1175/1525-7541(2003)004%3C1276:SOAETS%3E2.0.CO;2>. A set of high-level functions for model set up, execution and parallelization provides easy access to plot-level SVAT simulations, as well as multi-run and large-scale applications.

r-leakr 0.1.0
Propagated dependencies: r-workflows@1.3.0 r-stringr@1.6.0 r-readxl@1.4.5 r-openxlsx@4.2.8.1 r-jsonlite@2.0.0 r-htmltools@0.5.8.1 r-ggplot2@4.0.1 r-digest@0.6.39 r-data-table@1.17.8 r-arrow@22.0.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=leakr
Licenses: Expat
Build system: r
Synopsis: Data Leakage Detection Tools for Machine Learning
Description:

This package provides utilities to detect common data leakage patterns including train/test contamination, temporal leakage, and data duplication, enhancing model reliability and reproducibility in machine learning workflows. Generates diagnostic reports and visual summaries to support data validation. Methods based on best practices from Hastie, Tibshirani, and Friedman (2009, ISBN:978-0387848570).

r-landscaper 1.3.1
Propagated dependencies: r-terra@1.8-86 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/dariomasante/landscapeR
Licenses: GPL 2+
Build system: r
Synopsis: Categorical Landscape Simulation Facility
Description:

Simulates categorical maps on actual geographical realms, starting from either empty landscapes or landscapes provided by the user (e.g. land use maps). Allows to tweak or create landscapes while retaining a high degree of control on its features, without the hassle of specifying each location attribute. In this it differs from other tools which generate null or neutral landscapes in a theoretical space. The basic algorithm currently implemented uses a simple agent style/cellular automata growth model, with no rules (apart from areas of exclusion) and von Neumann neighbourhood (four cells, aka Rook case). Outputs are raster dataset exportable to any common GIS format.

r-longiturf 0.9
Propagated dependencies: r-rpart@4.1.24 r-randomforest@4.7-1.2 r-mvtnorm@1.3-3 r-latex2exp@0.9.6
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LongituRF
Licenses: GPL 2
Build system: r
Synopsis: Random Forests for Longitudinal Data
Description:

Random forests are a statistical learning method widely used in many areas of scientific research essentially for its ability to learn complex relationships between input and output variables and also its capacity to handle high-dimensional data. However, current random forests approaches are not flexible enough to handle longitudinal data. In this package, we propose a general approach of random forests for high-dimensional longitudinal data. It includes a flexible stochastic model which allows the covariance structure to vary over time. Furthermore, we introduce a new method which takes intra-individual covariance into consideration to build random forests. The method is fully detailled in Capitaine et.al. (2020) <doi:10.1177/0962280220946080> Random forests for high-dimensional longitudinal data.

r-lmompi 0.6.7
Propagated dependencies: r-stringr@1.6.0 r-lmom@3.2
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lmomPi
Licenses: GPL 3+
Build system: r
Synopsis: (Precipitation) Frequency Analysis and Variability with L-Moments from 'lmom'
Description:

It is an extension of lmom R package: pel...()','cdf...()',qua...() function families are lumped and called from one function per each family respectively in order to create robust automatic tools to fit data with different probability distributions and then to estimate probability values and return periods. The implemented functions are able to manage time series with constant and/or missing values without stopping the execution with error messages. The package also contains tools to calculate several indices based on variability (e.g. SPI , Standardized Precipitation Index, see <https://climatedataguide.ucar.edu/climate-data/standardized-precipitation-index-spi> and <http://spei.csic.es/>) for multiple time series or spatially gridded values.

r-lomar 0.5.2
Dependencies: gmp@6.3.0 fftw@3.3.10
Propagated dependencies: r-transport@0.15-4 r-rhdf5@2.54.0 r-reshape2@1.4.5 r-rcpp@1.1.0 r-rann@2.6.2 r-proxy@0.4-27 r-pracma@2.4.6 r-mclust@6.1.2 r-foreach@1.5.2 r-fnn@1.1.4.1 r-ff@4.5.2 r-ebimage@4.52.0 r-doparallel@1.0.17 r-dbscan@1.2.3 r-data-table@1.17.8 r-bh@1.87.0-1 r-alphashape3d@1.3.3 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://git.embl.org/heriche/lomar
Licenses: GPL 3
Build system: r
Synopsis: Localization Microscopy Data Analysis
Description:

Read, register and compare point sets from single molecule localization microscopy.

r-ldrtools 0.2-2
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LDRTools
Licenses: GPL 2+
Build system: r
Synopsis: Tools for Linear Dimension Reduction
Description:

Linear dimension reduction subspaces can be uniquely defined using orthogonal projection matrices. This package provides tools to compute distances between such subspaces and to compute the average subspace. For details see Liski, E.Nordhausen K., Oja H., Ruiz-Gazen A. (2016) Combining Linear Dimension Reduction Subspaces <doi:10.1007/978-81-322-3643-6_7>.

r-l1spectral 0.99.6
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-igraph@2.2.1 r-glmnet@4.1-10 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cvtools@0.3.3 r-caret@7.0-1 r-aricode@1.0.3
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=l1spectral
Licenses: GPL 2
Build system: r
Synopsis: An L1-Version of the Spectral Clustering
Description:

This package provides an l1-version of the spectral clustering algorithm devoted to robustly clustering highly perturbed graphs using l1-penalty. This algorithm is described with more details in the preprint C. Champion, M. Champion, M. Blazère, R. Burcelin and J.M. Loubes, "l1-spectral clustering algorithm: a spectral clustering method using l1-regularization" (2022).

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