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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-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-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-lqmix 1.2
Propagated dependencies: r-rdpack@2.6.4 r-quantreg@6.1 r-foreach@1.5.2 r-dosnow@1.0.20 r-dorng@1.8.6.2 r-doparallel@1.0.17 r-diagram@1.6.5
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lqmix
Licenses: GPL 2+
Build system: r
Synopsis: Linear Quantile Mixture Models
Description:

Estimate linear quantile mixtures based on Time-Constant (TC) and/or Time-Varying (TV), discrete, random coefficients.

r-logitnorm 0.8.39
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=logitnorm
Licenses: GPL 2
Build system: r
Synopsis: Functions for the Logitnormal Distribution
Description:

Density, distribution, quantile and random generation function for the logitnormal distribution. Estimation of the mode and the first two moments. Estimation of distribution parameters.

r-lzstring 0.2.0
Propagated dependencies: r-cpp11@0.5.2
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://parmsam.github.io/lzstring-r/
Licenses: Expat
Build system: r
Synopsis: Wrapper for 'lz-string' 'C++' Library
Description:

Provide access to the lz-string <http://pieroxy.net/blog/pages/lz-string/index.html> C++ library for Lempel-Ziv (LZ) based compression and decompression of strings.

r-lulcc 1.0.4
Propagated dependencies: r-rocr@1.0-11 r-rastervis@0.51.7 r-raster@3.6-32 r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lulcc
Licenses: GPL 2+
Build system: r
Synopsis: Land Use Change Modelling in R
Description:

This package provides classes and methods for spatially explicit land use change modelling in R.

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-lnmcluster 0.3.1
Propagated dependencies: r-stringr@1.6.0 r-rcpp@1.1.0 r-pgmm@1.2.8 r-mclust@6.1.2 r-mass@7.3-65 r-gtools@3.9.5 r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lnmCluster
Licenses: GPL 2+
Build system: r
Synopsis: Perform Logistic Normal Multinomial Clustering for Microbiome Compositional Data
Description:

An implementation of logistic normal multinomial (LNM) clustering. It is an extension of LNM mixture model proposed by Fang and Subedi (2020) <arXiv:2011.06682>, and is designed for clustering compositional data. The package includes 3 extended models: LNM Factor Analyzer (LNM-FA), LNM Bicluster Mixture Model (LNM-BMM) and Penalized LNM Factor Analyzer (LNM-FA). There are several advantages of LNM models: 1. LNM provides more flexible covariance structure; 2. Factor analyzer can reduce the number of parameters to estimate; 3. Bicluster can simultaneously cluster subjects and taxa, and provides significant biological insights; 4. Penalty term allows sparse estimation in the covariance matrix. Details for model assumptions and interpretation can be found in papers: Tu and Subedi (2021) <arXiv:2101.01871> and Tu and Subedi (2022) <doi:10.1002/sam.11555>.

r-latentbma 0.1.2
Propagated dependencies: r-reshape2@1.4.5 r-progress@1.2.3 r-mnormt@2.1.1 r-knitr@1.50 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LatentBMA
Licenses: Expat
Build system: r
Synopsis: Bayesian Model Averaging for Univariate Link Latent Gaussian Models
Description:

Bayesian model averaging (BMA) algorithms for univariate link latent Gaussian models (ULLGMs). For detailed information, refer to Steel M.F.J. & Zens G. (2024) "Model Uncertainty in Latent Gaussian Models with Univariate Link Function" <doi:10.48550/arXiv.2406.17318>. The package supports various g-priors and a beta-binomial prior on the model space. It also includes auxiliary functions for visualizing and tabulating BMA results. Currently, it offers an out-of-the-box solution for model averaging of Poisson log-normal (PLN) and binomial logistic-normal (BiL) models. The codebase is designed to be easily extendable to other likelihoods, priors, and link functions.

r-landsat 1.1.2
Propagated dependencies: r-sp@2.2-0 r-mgcv@1.9-4 r-lmodel2@1.7-4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=landsat
Licenses: GPL 2+
Build system: r
Synopsis: Radiometric and Topographic Correction of Satellite Imagery
Description:

Processing of Landsat or other multispectral satellite imagery. Includes relative normalization, image-based radiometric correction, and topographic correction options. The original package description was published as Goslee (2011) <doi:10.18637/jss.v043.i04>, and details of the topographic corrections in Goslee (2012) <doi:10.14358/PERS.78.9.973>.

r-leafarea 0.1.8
Dependencies: openjdk@25
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/mattocci27/LeafArea
Licenses: GPL 2
Build system: r
Synopsis: Rapid Digital Image Analysis of Leaf Area
Description:

An interface for the image processing program ImageJ', which allows a rapid digital image analysis for particle sizes. This package includes function to write an ImageJ macro which is optimized for a leaf area analysis by default.

r-lbspr 0.1.6
Propagated dependencies: r-tidyr@1.3.1 r-shiny@1.11.1 r-rcpp@1.1.0 r-rcolorbrewer@1.1-3 r-plotrix@3.8-13 r-gridextra@2.3 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/AdrianHordyk/LBSPR
Licenses: GPL 3
Build system: r
Synopsis: Length-Based Spawning Potential Ratio
Description:

Simulate expected equilibrium length composition, yield-per-recruit, and the spawning potential ratio (SPR) using the length-based SPR (LBSPR) model. Fit the LBSPR model to length data to estimate selectivity, relative apical fishing mortality, and the spawning potential ratio for data-limited fisheries. See Hordyk et al (2016) <doi:10.1139/cjfas-2015-0422> for more information about the LBSPR assessment method.

r-lsvar 1.2
Propagated dependencies: r-pracma@2.4.6 r-mvtnorm@1.3-3 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LSVAR
Licenses: GPL 2
Build system: r
Synopsis: Estimation of Low Rank Plus Sparse Structured Vector Auto-Regressive (VAR) Model
Description:

Implementations of estimation algorithm of low rank plus sparse structured VAR model by using Fast Iterative Shrinkage-Thresholding Algorithm (FISTA). It relates to the algorithm in Sumanta, Li, and Michailidis (2019) <doi:10.1109/TSP.2018.2887401>.

r-labapplstat 1.4.4
Propagated dependencies: r-vctrs@0.6.5 r-ggraph@2.2.2 r-ggplot2@4.0.1 r-emmeans@2.0.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LabApplStat
Licenses: GPL 3
Build system: r
Synopsis: Miscellaneous Scripts from the Data Science Laboratory (UCPH)
Description:

Miscellaneous scripts, e.g. functionality to make and plot factor diagrams for the statistical design.

r-lmomco 2.5.3
Propagated dependencies: r-mass@7.3-65 r-lmoments@1.3-2 r-goftest@1.2-3
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://www.amazon.com/dp/1463508417/
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments, and Many Distributions
Description:

Extensive functions for Lmoments (LMs) and probability-weighted moments (PWMs), distribution parameter estimation, LMs for distributions, LM ratio diagrams, multivariate Lcomoments, and asymmetric (asy) trimmed LMs (TLMs). Maximum likelihood and maximum product spacings estimation are available. Right-tail and left-tail LM censoring by threshold or indicator variable are available. LMs of residual (resid) and reversed (rev) residual life are implemented along with 13 quantile operators for reliability analyses. Exact analytical bootstrap estimates of order statistics, LMs, and LM var-covars are available. Harri-Coble Tau34-squared Normality Test is available. Distributions with L, TL, and added (+) support for right-tail censoring (RC) encompass: Asy Exponential (Exp) Power [L], Asy Triangular [L], Cauchy [TL], Eta-Mu [L], Exp. [L], Gamma [L], Generalized (Gen) Exp Poisson [L], Gen Extreme Value [L], Gen Lambda [L, TL], Gen Logistic [L], Gen Normal [L], Gen Pareto [L+RC, TL], Govindarajulu [L], Gumbel [L], Kappa [L], Kappa-Mu [L], Kumaraswamy [L], Laplace [L], Linear Mean Residual Quantile Function [L], Normal [L], 3p log-Normal [L], Pearson Type III [L], Polynomial Density-Quantile 3 and 4 [L], Rayleigh [L], Rev-Gumbel [L+RC], Rice [L], Singh Maddala [L], Slash [TL], 3p Student t [L], Truncated Exponential [L], Wakeby [L], and Weibull [L].

r-lam 0.7-22
Propagated dependencies: r-sirt@4.2-133 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-cdm@8.3-14
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/alexanderrobitzsch/LAM
Licenses: GPL 2+
Build system: r
Synopsis: Some Latent Variable Models
Description:

Includes some procedures for latent variable modeling with a particular focus on multilevel data. The LAM package contains mean and covariance structure modelling for multivariate normally distributed data (mlnormal(); Longford, 1987; <doi:10.1093/biomet/74.4.817>), a general Metropolis-Hastings algorithm (amh(); Roberts & Rosenthal, 2001, <doi:10.1214/ss/1015346320>) and penalized maximum likelihood estimation (pmle(); Cole, Chu & Greenland, 2014; <doi:10.1093/aje/kwt245>).

r-lievens 0.0.1
Propagated dependencies: r-tibble@3.3.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://rmagno.eu/lievens/
Licenses: FSDG-compatible
Build system: r
Synopsis: Real-Time PCR Data Sets by Lievens et al. (2012)
Description:

Real-time quantitative polymerase chain reaction (qPCR) data sets by Lievens et al. (2012) <doi:10.1093/nar/gkr775>. Provides one single tabular tidy data set in long format, encompassing three dilution series, targeted against the soybean Lectin endogene. Each dilution series was assayed in one of the following PCR-efficiency-modifying conditions: no PCR inhibition, inhibition by isopropanol and inhibition by tannic acid. The inhibitors were co-diluted along with the dilution series. The co-dilution series consists of a five-point, five-fold serial dilution. For each concentration there are 18 replicates. Each amplification curve is 60 cycles long. Original raw data file is available at the Supplementary Data section at Nucleic Acids Research Online <doi:10.1093/nar/gkr775>.

r-lobbyr 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-rlang@1.1.6 r-keyring@1.4.1 r-httr2@1.2.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lobbyR
Licenses: LGPL 3+
Build system: r
Synopsis: Get Federal Lobbying Disclosures
Description:

Gives users seeking federal lobbying disclosures an easier way to query the API maintained by the Senate federal lobbying disclosures database <https://lda.senate.gov/api/redoc/v1/> to find out how much companies and other entities are spending to lobby Congress and the federal government. It allows for search terms such as keywords, time periods and entity names. It then attempts to clean, or at least flag, filings that could provide incorrect results when seeking to answer the question: How much is being spent on lobbying our Congress and the administration and what issues do they care about?

r-lulab-utils 1.0.0
Propagated dependencies: r-stringr@1.6.0 r-rappdirs@0.3.3 r-purrr@1.2.0 r-magrittr@2.0.4 r-httr2@1.2.1 r-dplyr@1.1.4 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/Leslie-Lu/lulab.utils
Licenses: Expat
Build system: r
Synopsis: Supporting Functions Maintained by Zhen Lu
Description:

Miscellaneous functions commonly used by LuLab. This package aims to help more researchers on epidemiology to perform data management and visualization more efficiently.

r-letsherp 0.1.0
Propagated dependencies: r-xml2@1.5.0 r-tidyr@1.3.1 r-stringr@1.6.0 r-rvest@1.0.5 r-pbmcapply@1.5.1 r-pbapply@1.7-4 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/joao-svalencar/letsHerp
Licenses: Expat
Build system: r
Synopsis: An Interface to the Reptile Database
Description:

This package provides tools to retrieve and summarize taxonomic information and synonymy data for reptile species using data scraped from The Reptile Database website (<https://reptile-database.reptarium.cz/>). Outputs include clean and structured data frames useful for ecological, evolutionary, and conservation research.

r-lilikoi 2.1.1
Propagated dependencies: r-survminer@0.5.1 r-survival@3.8-3 r-stringr@1.6.0 r-scales@1.4.0 r-rweka@0.4-47 r-reticulate@1.44.1 r-reshape@0.8.10 r-rcy3@2.30.0 r-proc@1.19.0.1 r-princurve@2.1.6 r-preprocesscore@1.72.0 r-plyr@1.8.9 r-pathview@1.50.0 r-mlmetrics@1.1.3 r-metrics@0.1.4 r-m3c@1.32.0 r-limma@3.66.0 r-infotheo@1.2.0.1 r-impute@1.84.0 r-h2o@3.44.0.3 r-glmnet@4.1-10 r-ggplot2@4.0.1 r-gbm@2.2.2 r-dplyr@1.1.4 r-caret@7.0-1 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lilikoi
Licenses: GPL 2
Build system: r
Synopsis: Metabolomics Personalized Pathway Analysis Tool
Description:

This package provides a comprehensive analysis tool for metabolomics data. It consists a variety of functional modules, including several new modules: a pre-processing module for normalization and imputation, an exploratory data analysis module for dimension reduction and source of variation analysis, a classification module with the new deep-learning method and other machine-learning methods, a prognosis module with cox-PH and neural-network based Cox-nnet methods, and pathway analysis module to visualize the pathway and interpret metabolite-pathway relationships. References: H. Paul Benton <http://www.metabolomics-forum.com/index.php?topic=281.0> Jeff Xia <https://github.com/cangfengzhe/Metabo/blob/master/MetaboAnalyst/website/name_match.R> Travers Ching, Xun Zhu, Lana X. Garmire (2018) <doi:10.1371/journal.pcbi.1006076>.

r-lookuptable 0.1
Propagated dependencies: r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lookupTable
Licenses: Expat
Build system: r
Synopsis: Look-Up Tables using S4
Description:

Fits look-up tables by filling entries with the mean or median values of observations fall in partitions of the feature space. Partitions can be determined by user of the package using input argument feature.boundaries, and dimensions of the feature space can be any combination of continuous and categorical features provided by the data set. A Predict function directly fetches corresponding entry value, and a default value is defined as the mean or median of all available observations. The table and other components are represented using the S4 class lookupTable.

r-liteq 1.1.0
Propagated dependencies: r-rsqlite@2.4.4 r-rappdirs@0.3.3 r-dbi@1.2.3 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/r-lib/liteq#readme
Licenses: Expat
Build system: r
Synopsis: Lightweight Portable Message Queue Using 'SQLite'
Description:

Temporary and permanent message queues for R. Built on top of SQLite databases. SQLite provides locking, and makes it possible to detect crashed consumers. Crashed jobs can be automatically marked as "failed", or put in the queue again, potentially a limited number of times.

r-lg 0.4.1
Propagated dependencies: r-tseries@0.10-58 r-np@0.60-18 r-mvtnorm@1.3-3 r-logspline@2.1.22 r-localgauss@0.41 r-ks@1.15.1 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lg
Licenses: GPL 3
Build system: r
Synopsis: Locally Gaussian Distributions: Estimation and Methods
Description:

An implementation of locally Gaussian distributions. It provides methods for implementing locally Gaussian multivariate density estimation, conditional density estimation, various independence tests for iid and time series data, a test for conditional independence and a test for financial contagion.

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