_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-latrend 1.6.3
Propagated dependencies: r-rmarkdown@2.30 r-rlang@1.1.6 r-rdpack@2.6.4 r-r-utils@2.13.0 r-matrixstats@1.5.0 r-magrittr@2.0.4 r-foreach@1.5.2 r-data-table@1.17.8 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/niekdt/latrend
Licenses: GPL 2+
Build system: r
Synopsis: Framework for Clustering Longitudinal Data
Description:

This package provides a framework for clustering longitudinal datasets in a standardized way. The package provides an interface to existing R packages for clustering longitudinal univariate trajectories, facilitating reproducible and transparent analyses. Additionally, standard tools are provided to support cluster analyses, including repeated estimation, model validation, and model assessment. The interface enables users to compare results between methods, and to implement and evaluate new methods with ease. The akmedoids package is available from <https://github.com/MAnalytics/akmedoids>.

r-lavaanextra 0.2.2
Propagated dependencies: r-lavaan@0.6-20 r-insight@1.4.3
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://lavaanExtra.remi-theriault.com
Licenses: Expat
Build system: r
Synopsis: Convenience Functions for Package 'lavaan'
Description:

Affords an alternative, vector-based syntax to lavaan', as well as other convenience functions such as naming paths and defining indirect links automatically, in addition to convenience formatting optimized for a publication and script sharing workflow.

r-lookup 1.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://kwstat.github.io/lookup/
Licenses: Expat
Build system: r
Synopsis: Functions Similar to VLOOKUP in Excel
Description:

Simple functions to lookup items in key-value pairs. See Mehta (2021) <doi:10.1007/978-1-4842-6613-7_6>.

r-longurl 0.3.3
Propagated dependencies: r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=longurl
Licenses: Expat
Build system: r
Synopsis: Expand Short 'URLs'
Description:

This package provides tools are provided to expand vectors of short URLs into long URLs'. No API services are used, which may mean that this operates more slowly than API services do (since they usually cache results of expansions that every user of the service requests). You can setup your own caching layer with the memoise package if you wish to have a speedup during single sessions or add larger dependencies, such as Redis', to gain a longer-term performance boost at the expense of added complexity.

r-loon-data 0.1.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://great-northern-diver.github.io/loon.data/
Licenses: GPL 2
Build system: r
Synopsis: Data Used to Illustrate 'Loon' Functionality
Description:

Data used as examples in the loon package.

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-lsl 0.5.6
Propagated dependencies: r-reshape2@1.4.5 r-lavaan@0.6-20 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=lsl
Licenses: GPL 3+
Build system: r
Synopsis: Latent Structure Learning
Description:

Fits structural equation modeling via penalized likelihood.

r-lisa 0.1.2
Propagated dependencies: r-tibble@3.3.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/tyluRp/lisa
Licenses: Expat
Build system: r
Synopsis: Color Palettes from Color Lisa
Description:

This package contains 128 palettes from Color Lisa. All palettes are based on masterpieces from the worlds greatest artists. For more information, see <http://colorlisa.com/>.

r-lprelevance 3.3
Propagated dependencies: r-reshape2@1.4.5 r-polynom@1.4-1 r-mass@7.3-65 r-locfdr@1.1-8 r-leaps@3.2 r-glmnet@4.1-10 r-ggplot2@4.0.1 r-caret@7.0-1 r-bolstad2@1.0-29 r-bayesgof@5.2
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LPRelevance
Licenses: GPL 2
Build system: r
Synopsis: Relevance-Integrated Statistical Inference Engine
Description:

Provide methods to perform customized inference at individual level by taking contextual covariates into account. Three main functions are provided in this package: (i) LASER(): it generates specially-designed artificial relevant samples for a given case; (ii) g2l.proc(): computes customized fdr(z|x); and (iii) rEB.proc(): performs empirical Bayes inference based on LASERs. The details can be found in Mukhopadhyay, S., and Wang, K (2021, <arXiv:2004.09588>).

r-ltertools 2.1.0
Propagated dependencies: r-tidyr@1.3.1 r-supportr@1.6.0 r-stringr@1.6.0 r-readxl@1.4.5 r-purrr@1.2.0 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-generics@0.1.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://lter.github.io/ltertools/
Licenses: Modified BSD
Build system: r
Synopsis: Tools Developed by the Long Term Ecological Research Community
Description:

Set of the data science tools created by various members of the Long Term Ecological Research (LTER) community. These functions were initially written largely as standalone operations and have later been aggregated into this package.

r-lorme 2.0.2
Propagated dependencies: r-vegan@2.7-2 r-tidyr@1.3.1 r-stringr@1.6.0 r-scales@1.4.0 r-rcolorbrewer@1.1-3 r-multcompview@0.1-10 r-magrittr@2.0.4 r-igraph@2.2.1 r-hmisc@5.2-4 r-hh@3.1-53 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-ggalluvial@0.12.5 r-fdrtool@1.2.18 r-dplyr@1.1.4 r-desctools@0.99.60 r-coin@1.4-3 r-ape@5.8-1 r-agricolae@1.3-7
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LorMe
Licenses: GPL 3
Build system: r
Synopsis: Lightweight One-Line Resolving Microbial Ecology Program
Description:

This package provides a robust collection of functions tailored for microbial ecology analysis, encompassing both data analysis and visualization. It introduces an encapsulation feature that streamlines the process into a summary object. With the initial configuration of this summary object, users can execute a wide range of analyses with a single line of code, requiring only two essential parameters for setup. The package delivers comprehensive outputs including analysis objects, statistical outcomes, and visualization-ready data, enhancing the efficiency of research workflows. Designed with user-friendliness in mind, it caters to both novices and seasoned researchers, offering an intuitive interface coupled with adaptable customization options to meet diverse analytical needs.

r-lavaangui 0.3.2
Propagated dependencies: r-shiny@1.11.1 r-readxl@1.4.5 r-readr@2.1.6 r-promises@1.5.0 r-plyr@1.8.9 r-lavaan@0.6-20 r-jsonlite@2.0.0 r-igraph@2.2.1 r-haven@2.5.5 r-future@1.68.0 r-dt@0.34.0 r-digest@0.6.39 r-colorspace@2.1-2 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://lavaangui.org/
Licenses: GPL 3+
Build system: r
Synopsis: Graphical User Interface with Integrated 'Diagrammer' for 'Lavaan'
Description:

This package provides a graphical user interface with an integrated diagrammer for latent variable models from the lavaan package. It offers two core functions: first, lavaangui() launches a web application that allows users to specify models by drawing path diagrams, fitting them, assessing model fit, and more; second, plot_lavaan() creates interactive path diagrams from models specified in lavaan'. Karch (2024) <doi: 10.1080/10705511.2024.2420678> contains a tutorial.

r-ltfhplus 2.2.0
Propagated dependencies: r-xgboost@1.7.11.1 r-tmvtnorm@1.7 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-rcpp@1.1.0 r-purrr@1.2.0 r-igraph@2.2.1 r-ggplot2@4.0.1 r-future-apply@1.20.0 r-future@1.68.0 r-dplyr@1.1.4 r-batchmeans@1.0-4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://emilmip.github.io/LTFHPlus/
Licenses: GPL 3
Build system: r
Synopsis: Implementation of LT-FH++
Description:

Implementation of LT-FH++, an extension of the liability threshold family history (LT-FH) model. LT-FH++ uses a Gibbs sampler for sampling from the truncated multivariate normal distribution and allows for flexible family structures. LT-FH++ was first described in Pedersen, Emil M., et al. (2022) <doi:10.1016/j.ajhg.2022.01.009> as an extension to LT-FH with more flexible family structures, and again as the age-dependent liability threshold (ADuLT) model Pedersen, Emil M., et al. (2023) <https://www.nature.com/articles/s41467-023-41210-z> as an alternative to traditional time-to-event genome-wide association studies, where family history was not considered.

r-logngpd 0.1.0
Propagated dependencies: r-rdpack@2.6.4 r-lnpar@1.1.3 r-evd@2.3-7.1 r-envstats@3.1.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/marco-bee/lognGPD
Licenses: Expat
Build system: r
Synopsis: Estimation of a Lognormal - Generalized Pareto Mixture
Description:

Estimation of a lognormal - Generalized Pareto mixture via the Expectation-Maximization algorithm. Computation of bootstrap standard errors is supported and performed via parallel computing. Functions for random number simulation and density evaluation are also available. For more details see Bee and Santi (2025) <doi:10.48550/arXiv.2505.22507>.

r-leafpm 0.1.0
Propagated dependencies: r-sf@1.0-23 r-leaflet@2.2.3 r-jsonlite@2.0.0 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/r-spatial/leafpm
Licenses: Expat
Build system: r
Synopsis: Leaflet Map Plugin for Drawing and Editing
Description:

This package provides a collection of tools for interactive manipulation of (spatial) data layers on leaflet web maps. Tools include editing of existing layers, creation of new layers through drawing of shapes (points, lines, polygons), deletion of shapes as well as cutting holes into existing shapes. Provides control over options to e.g. prevent self-intersection of polygons and lines or to enable/disable snapping to align shapes.

r-llmhelper 1.0.0
Propagated dependencies: r-tidyprompt@0.3.0 r-tibble@3.3.0 r-stringr@1.6.0 r-purrr@1.2.0 r-jsonlite@2.0.0 r-httr2@1.2.1 r-httr@1.4.7 r-glue@1.8.0 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/Zaoqu-Liu/llmhelper
Licenses: GPL 3+
Build system: r
Synopsis: Unified Interface for Large Language Model Interactions
Description:

This package provides a unified interface for interacting with Large Language Models (LLMs) through various providers including OpenAI <https://platform.openai.com/docs/api-reference>, Ollama <https://ollama.com/>, and other OpenAI-compatible APIs. Features include automatic connection testing, max_tokens limit auto-adjustment, structured JSON responses with schema validation, interactive JSON schema generation, prompt templating, and comprehensive diagnostics.

r-lsmjml 0.6.0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-psych@2.5.6 r-proc@1.19.0.1 r-lavaan@0.6-20
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LSMjml
Licenses: GPL 3
Build system: r
Synopsis: Fitting Latent Space Item Response Models using Joint Maximum Likelihood Estimation
Description:

In Latent Space Item Response Models, subjects and items are embedded in a multidimensional Euclidean latent space. As such, interactions among persons, items, and person-item combinations can be revealed that are unmodelled in more conventional item response theory models. This package implements the methods from Molenaar & Jeon (in press) and can be used to fit Latent Space Item Response Models to data using joint maximum likelihood estimation. The package can handle binary data, ordinal data, and data with mixed scales. The package incorporates facilities for data simulation, rotation of the latent space, and K-fold cross-validation to select the number of dimensions of the latent space.

r-liureg 1.1.2
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=liureg
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Liu Regression with Liu Biasing Parameters and Statistics
Description:

Linear Liu regression coefficient's estimation and testing with different Liu related measures such as MSE, R-squared etc. REFERENCES i. Akdeniz and Kaciranlar (1995) <doi:10.1080/03610929508831585> ii. Druilhet and Mom (2008) <doi:10.1016/j.jmva.2006.06.011> iii. Imdadullah, Aslam, and Saima (2017) iv. Liu (1993) <doi:10.1080/03610929308831027> v. Liu (2001) <doi:10.1016/j.jspi.2010.05.030>.

r-leafgl 0.2.2
Propagated dependencies: r-sf@1.0-23 r-leaflet@2.2.3 r-jsonify@1.2.3 r-htmltools@0.5.8.1 r-geojsonsf@2.0.5
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/r-spatial/leafgl
Licenses: Expat
Build system: r
Synopsis: High-Performance 'WebGl' Rendering for Package 'leaflet'
Description:

This package provides bindings to the Leaflet.glify JavaScript library which extends the leaflet JavaScript library to render large data in the browser using WebGl'.

r-latentcor 2.0.2
Propagated dependencies: r-plotly@4.11.0 r-pcapp@2.0-5 r-mnormt@2.1.1 r-microbenchmark@1.5.0 r-matrix@1.7-4 r-mass@7.3-65 r-heatmaply@1.6.0 r-ggplot2@4.0.1 r-geometry@0.5.2 r-future@1.68.0 r-foreach@1.5.2 r-fmultivar@4031.84 r-dorng@1.8.6.2 r-dofuture@1.1.2
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=latentcor
Licenses: GPL 3
Build system: r
Synopsis: Fast Computation of Latent Correlations for Mixed Data
Description:

The first stand-alone R package for computation of latent correlation that takes into account all variable types (continuous/binary/ordinal/zero-inflated), comes with an optimized memory footprint, and is computationally efficient, essentially making latent correlation estimation almost as fast as rank-based correlation estimation. The estimation is based on latent copula Gaussian models. For continuous/binary types, see Fan, J., Liu, H., Ning, Y., and Zou, H. (2017). For ternary type, see Quan X., Booth J.G. and Wells M.T. (2018) <doi:10.48550/arXiv.1809.06255>. For truncated type or zero-inflated type, see Yoon G., Carroll R.J. and Gaynanova I. (2020) <doi:10.1093/biomet/asaa007>. For approximation method of computation, see Yoon G., Müller C.L. and Gaynanova I. (2021) <doi:10.1080/10618600.2021.1882468>. The latter method uses multi-linear interpolation originally implemented in the R package <https://cran.r-project.org/package=chebpol>.

r-languagelayer 1.2.4
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7 r-curl@7.0.0 r-attempt@0.3.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/ColinFay/languagelayer
Licenses: Expat
Build system: r
Synopsis: Access the 'languagelayer' API
Description:

Improve your text analysis with languagelayer <https://languagelayer.com>, a powerful language detection API.

r-ls2wstat 2.1-5
Propagated dependencies: r-spdep@1.4-1 r-matrixstats@1.5.0 r-ls2w@1.3.7
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LS2Wstat
Licenses: GPL 2
Build system: r
Synopsis: Multiscale Test of Spatial Stationarity for LS2W Processes
Description:

Wavelet-based methods for testing stationarity and quadtree segmenting of images, see Taylor et al (2014) <doi:10.1080/00401706.2013.823890>.

r-lue 0.2.1
Propagated dependencies: r-raster@3.6-32 r-ncdf4@1.24
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lue
Licenses: GPL 2
Build system: r
Synopsis: Light Use Efficiency Model to Estimate Biomass and YIELD with and Without Vapour Pressure Deficit
Description:

This package contains LUE_BIOMASS(),LUE_BIOMASS_VPD(), LUE_YIELD() and LUE_YIELD_VPD() to estimate aboveground biomass and crop yield firstly by calculating the Absorbed Photosynthetically Active Radiation (APAR) and secondly the actual values of light use efficiency with and without vapour presure deficit Shi et al.(2007) <doi:10.2134/agronj2006.0260>.

r-lillies 0.2.12
Propagated dependencies: r-tidyr@1.3.1 r-survival@3.8-3 r-rlang@1.1.6 r-progress@1.2.3 r-pracma@2.4.6 r-knitr@1.50 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=lillies
Licenses: Expat
Build system: r
Synopsis: Estimation of Life Years Lost
Description:

Estimation of life expectancy and Life Years Lost (LYL, or lillies for short) for a given population, for example those with a given disease or condition. In addition, the package can be used to compare estimates from different populations, or to estimate confidence intervals. Technical details of the method are available in Plana-Ripoll et al. (2020) <doi:10.1371/journal.pone.0228073> and Andersen (2017) <doi:10.1002/sim.7357>.

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