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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-lmmsolver 1.0.12
Propagated dependencies: r-spam@2.11-1 r-rcpp@1.1.0 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://biometris.github.io/LMMsolver/index.html
Licenses: GPL 3
Build system: r
Synopsis: Linear Mixed Models with Sparse Matrix Methods and Smoothing
Description:

This package provides tools for fitting linear mixed models using sparse matrix methods and variance component estimation. Applications include spline-based modeling of spatial and temporal trends using penalized splines (Boer, 2023) <doi:10.1177/1471082X231178591>.

r-localfda 1.0.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/aefdz/localFDA
Licenses: GPL 3
Build system: r
Synopsis: Localization Processes for Functional Data Analysis
Description:

Implementation of a theoretically supported alternative to k-nearest neighbors for functional data to solve problems of estimating unobserved segments of a partially observed functional data sample, functional classification and outlier detection. The approximating neighbor curves are piecewise functions built from a functional sample. Instead of a distance on a function space we use a locally defined distance function that satisfies stabilization criteria. The package allows the implementation of the methodology and the replication of the results in Elà as, A., Jiménez, R. and Yukich, J. (2020) <arXiv:2007.16059>.

r-lmreg 1.3
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lmreg
Licenses: GPL 2+
Build system: r
Synopsis: Data and Functions Used in Linear Models and Regression with R: An Integrated Approach
Description:

Data files and a few functions used in the book Linear Models and Regression with R: An Integrated Approach by Debasis Sengupta and Sreenivas Rao Jammalamadaka (2019).

r-linkprediction 1.0-0
Propagated dependencies: r-intergraph@2.0-4 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/recon-icm/linkprediction
Licenses: Expat
Build system: r
Synopsis: Link Prediction Methods
Description:

Implementations of most of the existing proximity-based methods of link prediction in graphs. Among the 20 implemented methods are e.g.: Adamic L. and Adar E. (2003) <doi:10.1016/S0378-8733(03)00009-1>, Leicht E., Holme P., Newman M. (2006) <doi:10.1103/PhysRevE.73.026120>, Zhou T. and Zhang Y (2009) <doi:10.1140/epjb/e2009-00335-8>, and Fouss F., Pirotte A., Renders J., and Saerens M. (2007) <doi:10.1109/TKDE.2007.46>.

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-leafletzh 0.1.1
Propagated dependencies: r-stringr@1.6.0 r-sf@1.0-23 r-scales@1.4.0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-purrr@1.2.0 r-leaflet-extras@2.0.1 r-leaflet@2.2.3 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-geosphere@1.5-20 r-geojsonsf@2.0.5
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://damonsoul.github.io/leafletZH/
Licenses: Expat
Build system: r
Synopsis: Chinese Leaflet Map Relate Operation
Description:

This package provides sf data for Chinese provinces and cities, methods for plotting shape maps of Chinese provinces and cities, Convert Coordinates Between Different Systems, and a layer for leaflet with Gaode tiles. It is designed to facilitate geographical data visualization in China.

r-linkedinadsr 0.1.0
Propagated dependencies: r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://windsor.ai/
Licenses: GPL 3
Build system: r
Synopsis: Access to 'LinkedIn' Ads via the 'Windsor.ai' API
Description:

Collect marketing data from LinkedIn Ads using the Windsor.ai API <https://windsor.ai/api-fields/>.

r-ltcdm 1.1.0
Propagated dependencies: r-ggsignif@0.6.4 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-gdina@2.9.12
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LTCDM
Licenses: GPL 3
Build system: r
Synopsis: Latent Transition Cognitive Diagnosis Model with Covariates
Description:

Implementation of the three-step approach of (latent transition) cognitive diagnosis model (CDM) with covariates. This approach can be used for single time-point situations (cross-sectional data) and multiple time-point situations (longitudinal data) to investigate how the covariates are associated with attribute mastery. For multiple time-point situations, the three-step approach of latent transition CDM with covariates allows researchers to assess changes in attribute mastery status and to evaluate the covariate effects on both the initial states and transition probabilities over time using latent logistic regression. Because stepwise approaches often yield biased estimates, correction for classification error probabilities (CEPs) is considered in this approach. The three-step approach for latent transition CDM with covariates involves the following steps: (1) fitting a CDM to the response data without covariates at each time point separately, (2) assigning examinees to latent states at each time point and computing the associated CEPs, and (3) estimating the latent transition CDM with the known CEPs and computing the regression coefficients. The method was proposed in Liang et al. (2023) <doi:10.3102/10769986231163320> and demonstrated using mental health data in Liang et al. (in press; annotated R code and data utilized in this example are available in Mendeley data) <doi:10.17632/kpjp3gnwbt.1>.

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-loewesadditivity 0.1.0
Propagated dependencies: r-viridis@0.6.5 r-tidyr@1.3.1 r-rootsolve@1.8.2.4 r-rlang@1.1.6 r-metr@0.18.3 r-magrittr@2.0.4 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://cran.r-project.org/package=loewesadditivity
Licenses: Expat
Build system: r
Synopsis: Loewe's Additivity
Description:

Estimate model parameters to determine whether two compounds have synergy, antagonism, or Loewe's Additivity.

r-lorem 1.0.0
Propagated dependencies: r-knitr@1.50 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/gadenbuie/lorem
Licenses: Expat
Build system: r
Synopsis: Generate Lorem Ipsum Text
Description:

Quickly generate lorem ipsum placeholder text. Easy to integrate in RMarkdown documents. Includes an RStudio addin to insert lorem ipsum into the current document.

r-luajr 0.2.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/nicholasdavies/luajr
Licenses: Expat
Build system: r
Synopsis: 'LuaJIT' Scripting
Description:

An interface to LuaJIT <https://luajit.org>, a just-in-time compiler for the Lua scripting language <https://www.lua.org>. Allows users to run Lua code from R'.

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-lfactors 1.0.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lfactors
Licenses: GPL 2
Build system: r
Synopsis: Factors with Levels
Description:

This package provides an extension to factors called lfactor that are similar to factors but allows users to refer to lfactor levels by either the level or the label.

r-label-switching 1.8
Propagated dependencies: r-lpsolve@5.6.23 r-combinat@0.0-8
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=label.switching
Licenses: GPL 2
Build system: r
Synopsis: Relabelling MCMC Outputs of Mixture Models
Description:

The Bayesian estimation of mixture models (and more general hidden Markov models) suffers from the label switching phenomenon, making the MCMC output non-identifiable. This package can be used in order to deal with this problem using various relabelling algorithms.

r-litriddle 1.0.0
Propagated dependencies: 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://literaryquality.huygens.knaw.nl/
Licenses: GPL 3+
Build system: r
Synopsis: Dataset and Tools to Research the Riddle of Literary Quality
Description:

Dataset and functions to explore quality of literary novels. The package is a part of the Riddle of Literary Quality project, and it contains the data of a reader survey about fiction in Dutch, a description of the novels the readers rated, and the results of stylistic measurements of the novels. The package also contains functions to combine, analyze, and visualize these data. For more details, see: Eder M, van Zundert J, Lensink S, van Dalen-Oskam K (2022). Replicating The Riddle of Literary Quality: The litRiddle package for R. In _Digital Humanities 2022: Conference Abstracts_, 636-637.

r-lswplib 0.1.0
Propagated dependencies: r-wavethresh@4.7.3 r-waveslim@1.8.5
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LSWPlib
Licenses: GPL 3
Build system: r
Synopsis: Simulation and Spectral Estimation of Locally Stationary Wavelet Packet Processes
Description:

Library of functions for the statistical analysis and simulation of Locally Stationary Wavelet Packet (LSWP) processes. The methods implemented by this library are described in Cardinali and Nason (2017) <doi:10.1111/jtsa.12230>.

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-lsebootls 0.1.0
Propagated dependencies: r-tibble@3.3.0 r-rlecuyer@0.3-8 r-lsts@2.1 r-iterators@1.0.14 r-foreach@1.5.2 r-dorng@1.8.6.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LSEbootLS
Licenses: GPL 3+
Build system: r
Synopsis: Bootstrap Methods for Regression Models with Locally Stationary Errors
Description:

This package implements bootstrap methods for linear regression models with errors following a time-varying process, focusing on approximating the distribution of the least-squares estimator for regression models with locally stationary errors. It enables the construction of bootstrap and classical confidence intervals for regression coefficients, leveraging intensive simulation studies and real data analysis.

r-lilrhino 1.2.2
Propagated dependencies: r-tm@0.7-16 r-stringi@1.8.7 r-snowballc@0.7.1 r-readr@2.1.6 r-neuralnet@1.44.2 r-keras@2.16.0 r-ggplot2@4.0.1 r-fnn@1.1.4.1 r-fastmatch@1.1-6 r-e1071@1.7-16 r-dplyr@1.1.4 r-data-table@1.17.8 r-beepr@2.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LilRhino
Licenses: GPL 2
Build system: r
Synopsis: For Implementation of Feed Reduction, Learning Examples, NLP and Code Management
Description:

This is for code management functions, NLP tools, a Monty Hall simulator, and for implementing my own variable reduction technique called Feed Reduction. The Feed Reduction technique is not yet published, but is merely a tool for implementing a series of binary neural networks meant for reducing data into N dimensions, where N is the number of possible values of the response variable.

r-longclust 1.5
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=longclust
Licenses: GPL 2+
Build system: r
Synopsis: Model-Based Clustering and Classification for Longitudinal Data
Description:

Clustering or classification of longitudinal data based on a mixture of multivariate t or Gaussian distributions with a Cholesky-decomposed covariance structure. Details in McNicholas and Murphy (2010) <doi:10.1002/cjs.10047> and McNicholas and Subedi (2012) <doi:10.1016/j.jspi.2011.11.026>.

r-lsamitr 1.0-3
Propagated dependencies: r-lme4@1.1-37 r-hmisc@5.2-4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://www.iqs.gv.at/themen/bildungsforschung/publikationen/veroeffentlichte-publikationen
Licenses: GPL 3+
Build system: r
Synopsis: Daten, Beispiele und Funktionen zu 'Large-Scale Assessment mit R'
Description:

Dieses R-Paket stellt Zusatzmaterial in Form von Daten, Funktionen und R-Hilfe-Seiten für den Herausgeberband Breit, S. und Schreiner, C. (Hrsg.). (2016). "Large-Scale Assessment mit R: Methodische Grundlagen der österreichischen Bildungsstandardüberprüfung." Wien: facultas. (ISBN: 978-3-7089-1343-8, <https://www.iqs.gv.at/themen/bildungsforschung/publikationen/veroeffentlichte-publikationen>) zur Verfügung.

r-librarian 1.8.1
Propagated dependencies: r-remotes@2.5.0 r-biocmanager@1.30.27
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/DesiQuintans/librarian
Licenses: GPL 3
Build system: r
Synopsis: Install, Update, Load Packages from CRAN, 'GitHub', and 'Bioconductor' in One Step
Description:

Automatically install, update, and load CRAN', GitHub', and Bioconductor packages in a single function call. By accepting bare unquoted names for packages, it's easy to add or remove packages from the list.

r-lcmsqa 1.0.2
Propagated dependencies: r-shinywidgets@0.9.0 r-shinyjs@2.1.0 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-plotly@4.11.0 r-ggplot2@4.0.1 r-dt@0.34.0 r-data-table@1.17.8 r-bsplus@0.1.5
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LCMSQA
Licenses: GPL 3+
Build system: r
Synopsis: Liquid Chromatography/Mass Spectrometry (LC/MS) Quality Assessment
Description:

The goal of LCMSQA is to make it easy to check the quality of liquid chromatograph/mass spectrometry (LC/MS) experiments using a shiny application. This package provides interactive data visualizations for quality control (QC) samples, including total ion current chromatogram (TIC), base peak chromatogram (BPC), mass spectrum, extracted ion chromatogram (XIC), and feature detection results from internal standards or known metabolites.

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