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     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
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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-lifepack 0.1.0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lifepack
Licenses: GPL 3
Build system: r
Synopsis: Insurance Reserve Calculations
Description:

Calculates insurance reserves and equivalence premiums using advanced numerical methods, including the Runge-Kutta algorithm and product integrals for transition probabilities. This package is useful for actuarial analyses and life insurance modeling, facilitating accurate financial projections.

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-lexisnexistools 1.0.0
Propagated dependencies: r-tibble@3.3.0 r-stringi@1.8.7 r-stringdist@0.9.15 r-quanteda-textstats@0.97.2 r-quanteda@4.3.1 r-pbapply@1.7-4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/JBGruber/LexisNexisTools
Licenses: GPL 3
Build system: r
Synopsis: Working with Files from 'LexisNexis'
Description:

My PhD supervisor once told me that everyone doing newspaper analysis starts by writing code to read in files from the LexisNexis newspaper archive (retrieved e.g., from <https://www.lexisnexis.com/> or any of the partner sites). However, while this is a nice exercise I do recommend, not everyone has the time. This package takes files downloaded from the newspaper archive of LexisNexis', reads them into R and offers functions for further processing.

r-locuszoomr 0.3.8
Propagated dependencies: r-zoo@1.8-14 r-rtracklayer@1.70.0 r-rlang@1.1.6 r-plotly@4.11.0 r-memoise@2.0.1 r-ldlinkr@1.4.0 r-iranges@2.44.0 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-gggrid@0.2-0 r-genomicranges@1.62.0 r-genomeinfodb@1.46.0 r-ensembldb@2.34.0 r-dplyr@1.1.4 r-cowplot@1.2.0 r-biocgenerics@0.56.0 r-annotationfilter@1.34.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/myles-lewis/locuszoomr
Licenses: GPL 3+
Build system: r
Synopsis: Gene Locus Plot with Gene Annotations
Description:

Publication-ready regional gene locus plots similar to those produced by the web interface LocusZoom <https://my.locuszoom.org>, but running locally in R. Genetic or genomic data with gene annotation tracks are plotted via R base graphics, ggplot2 or plotly', allowing flexibility and easy customisation including laying out multiple locus plots on the same page. It uses the LDlink API <https://ldlink.nih.gov/?tab=apiaccess> to query linkage disequilibrium data from the 1000 Genomes Project and can overlay this on plots <doi:10.1093/bioadv/vbaf006>.

r-loedata 1.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=loedata
Licenses: GPL 3
Build system: r
Synopsis: Data Sets from "Lectures on Econometrics" by Chirok Han
Description:

Data sets for Chirok Han (2024, ISBN:979-11-303-1964-3, "Lectures on Econometrics"). Students, teachers, and self-learners will find the data sets essential for replicating the results in the book.

r-lognormreg 0.5-0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=logNormReg
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: log Normal Linear Regression
Description:

This package provides functions to fits simple linear regression models with log normal errors and identity link, i.e. taking the responses on the original scale. See Muggeo (2018) <doi:10.13140/RG.2.2.18118.16965>.

r-lax 1.2.4
Propagated dependencies: r-sandwich@3.1-1 r-revdbayes@1.5.6 r-numderiv@2016.8-1.1 r-exdex@1.2.4 r-chandwich@1.1.6
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://paulnorthrop.github.io/lax/
Licenses: GPL 2+
Build system: r
Synopsis: Loglikelihood Adjustment for Extreme Value Models
Description:

This package performs adjusted inferences based on model objects fitted, using maximum likelihood estimation, by the extreme value analysis packages eva <https://cran.r-project.org/package=eva>, evd <https://cran.r-project.org/package=evd>, evir <https://cran.r-project.org/package=evir>, extRemes <https://cran.r-project.org/package=extRemes>, fExtremes <https://cran.r-project.org/package=fExtremes>, ismev <https://cran.r-project.org/package=ismev>, mev <https://cran.r-project.org/package=mev>, POT <https://cran.r-project.org/package=POT> and texmex <https://cran.r-project.org/package=texmex>. Adjusted standard errors and an adjusted loglikelihood are provided, using the chandwich package <https://cran.r-project.org/package=chandwich> and the object-oriented features of the sandwich package <https://cran.r-project.org/package=sandwich>. The adjustment is based on a robust sandwich estimator of the parameter covariance matrix, based on the methodology in Chandler and Bate (2007) <doi:10.1093/biomet/asm015>. This can be used for cluster correlated data when interest lies in the parameters of the marginal distributions, or for performing inferences that are robust to certain types of model misspecification. Univariate extreme value models, including regression models, are supported.

r-l1pack 0.62
Propagated dependencies: r-fastmatrix@0.6-6
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/faosorios/L1pack
Licenses: GPL 3
Build system: r
Synopsis: Routines for L1 Estimation
Description:

L1 estimation for linear regression using Barrodale and Roberts method <doi:10.1145/355616.361024> and the EM algorithm <doi:10.1023/A:1020759012226>. Estimation of mean and covariance matrix using the multivariate Laplace distribution, density, distribution function, quantile function and random number generation for univariate and multivariate Laplace distribution <doi:10.1080/03610929808832115>. Implementation of Naik and Plungpongpun <doi:10.1007/0-8176-4487-3_7> for the Generalized spatial median estimator is included.

r-lingglosses 0.0.11
Propagated dependencies: r-rmarkdown@2.30 r-knitr@1.50 r-kableextra@1.4.0 r-htmltools@0.5.8.1 r-gt@1.3.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://CRAN.R-project.org/package=phonfieldwork
Licenses: GPL 3+
Build system: r
Synopsis: Interlinear Glossed Linguistic Examples and Abbreviation Lists Generation
Description:

Helps to render interlinear glossed linguistic examples in html rmarkdown documents and then semi-automatically compiles the list of glosses at the end of the document. It also provides a database of linguistic glosses.

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-logib 0.2.1
Propagated dependencies: r-readxl@1.4.5 r-lubridate@1.9.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/admin-ebg/logib
Licenses: GPL 3+
Build system: r
Synopsis: Salary Analysis by the Swiss Federal Office for Gender Equality
Description:

Implementation of the Swiss Confederation's standard analysis model for salary analyses <www.ebg.admin.ch/en/equal-pay-analysis-with-logib> in R. The analysis is run at company-level and the model is intended for medium-sized and large companies. It can technically be used with 50 or more employees (apprentices, trainees/interns and expats are not included in the analysis). Employees with at least 100 employees are required by the Gender Equality Act to conduct an equal pay analysis. This package allows users to run the equal salary analysis in R, providing additional transparency with respect to the methodology and simple automation possibilities.

r-longsurr 1.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-survival@3.8-3 r-stringr@1.6.0 r-rsurrogate@3.2 r-refund@0.1-38 r-readr@2.1.6 r-purrr@1.2.0 r-plyr@1.8.9 r-mvnfast@0.2.8 r-mgcv@1.9-4 r-mass@7.3-65 r-magrittr@2.0.4 r-lme4@1.1-37 r-kernsmooth@2.23-26 r-here@1.0.2 r-grf@2.5.0 r-glue@1.8.0 r-fs@1.6.6 r-fdapace@0.6.0 r-fda-usc@2.2.0 r-fda@6.3.0 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=longsurr
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Longitudinal Surrogate Marker Analysis
Description:

Assess the proportion of treatment effect explained by a longitudinal surrogate marker as described in Agniel D and Parast L (2021) <doi:10.1111/biom.13310>; and estimate the treatment effect on a longitudinal surrogate marker as described in Wang et al. (2025) <doi:10.1093/biomtc/ujaf104>. A tutorial for this package can be found at <https://www.laylaparast.com/longsurr>.

r-lipidomicsr 0.3.6
Propagated dependencies: r-tidyverse@2.0.0 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-stringr@1.6.0 r-scales@1.4.0 r-reshape2@1.4.5 r-rcompanion@2.5.2 r-rcolorbrewer@1.1-3 r-pheatmap@1.0.13 r-ggsci@4.1.0 r-ggrepel@0.9.6 r-ggplotify@0.1.3 r-ggplot2@4.0.1 r-ggiraph@0.9.2 r-ggforce@0.5.0 r-fmsb@0.7.6 r-dplyr@1.1.4 r-cowplot@1.2.0 r-car@3.1-3 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/mingshi1/LipidomicsR
Licenses: Expat
Build system: r
Synopsis: Elegant Tools for Processing and Visualization of Lipidomics Data
Description:

An elegant tool for processing and visualizing lipidomics data generated by mass spectrometry. LipidomicsR simplifies channel and replicate handling while providing thorough lipid species annotation. Its visualization capabilities encompass principal components analysis plots, heatmaps, volcano plots, and radar plots, enabling concise data summarization and quality assessment. Additionally, it can generate bar plots and line plots to visualize the abundance of each lipid species.

r-lpgraph 2.1
Propagated dependencies: r-pma@1.2-4 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=LPGraph
Licenses: GPL 2
Build system: r
Synopsis: Nonparametric Smoothing of Laplacian Graph Spectra
Description:

This package provides a nonparametric method to approximate Laplacian graph spectra of a network with ordered vertices. This provides a computationally efficient algorithm for obtaining an accurate and smooth estimate of the graph Laplacian basis. The approximation results can then be used for tasks like change point detection, k-sample testing, and so on. The primary reference is Mukhopadhyay, S. and Wang, K. (2018, Technical Report).

r-loopevd 1.0.2
Propagated dependencies: r-terra@1.8-86 r-ncdf4@1.24 r-ismev@1.43 r-evd@2.3-7.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=loopevd
Licenses: GPL 3+
Build system: r
Synopsis: Loop Functions for Extreme Value Distributions
Description:

This package performs extreme value analysis at multiple locations using functions from the evd package. Supports both point-based and gridded input data using the terra package, enabling flexible looping across spatial datasets for batch processing of generalised extreme value, Gumbel fits.

r-lexiconpt 0.1.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lexiconPT
Licenses: GPL 2 FSDG-compatible
Build system: r
Synopsis: Lexicons for Portuguese Text Analysis
Description:

This package provides easy access for sentiment lexicons for those who want to do text analysis in Portuguese texts. As of now, two Portuguese lexicons are available: SentiLex-PT02 and OpLexicon (v2.1 and v3.0).

r-lcmm 2.2.2
Propagated dependencies: r-survival@3.8-3 r-spacefillr@0.4.0 r-numderiv@2016.8-1.1 r-nlme@3.1-168 r-mvtnorm@1.3-3 r-marqlevalg@2.0.8 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cecileproust-lima.github.io/lcmm/
Licenses: GPL 2+
Build system: r
Synopsis: Extended Mixed Models Using Latent Classes and Latent Processes
Description:

Estimation of various extensions of the mixed models including latent class mixed models, joint latent class mixed models, mixed models for curvilinear outcomes, mixed models for multivariate longitudinal outcomes using a maximum likelihood estimation method (Proust-Lima, Philipps, Liquet (2017) <doi:10.18637/jss.v078.i02>).

r-limnopalettes 0.1.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/SwampThingPaul/LimnoPalettes
Licenses: GPL 3
Build system: r
Synopsis: Limnology Themed Palette Generator
Description:

Palettes generated from limnology based field and laboratory photos. Palettes can be used to generate color values to be used in any functions that calls for a color (i.e. ggplot(), plot(), flextable(), etc.).

r-lodgwas 1.0-7
Propagated dependencies: r-survival@3.8-3 r-rms@8.1-0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lodGWAS
Licenses: GPL 3+
Build system: r
Synopsis: Genome-Wide Association Analysis of a Biomarker Accounting for Limit of Detection
Description:

Genome-wide association (GWAS) analyses of a biomarker that account for the limit of detection.

r-lsbs 0.1
Propagated dependencies: r-numderiv@2016.8-1.1 r-matrix@1.7-4 r-ks@1.15.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: http://arxiv.org/abs/1806.00731
Licenses: GPL 3
Build system: r
Synopsis: Bandwidth Selection for Level Sets and HDR Estimation
Description:

Bandwidth selection for kernel density estimators of 2-d level sets and highest density regions. It applies a plug-in strategy to estimate the asymptotic risk function and minimize to get the optimal bandwidth matrix. See Doss and Weng (2018) <arXiv:1806.00731> for more detail.

r-lddmm 0.4.2
Propagated dependencies: r-tidyr@1.3.1 r-rgen@0.0.1 r-reshape2@1.4.5 r-rcppprogress@0.4.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-rcolorbrewer@1.1-3 r-plyr@1.8.9 r-latex2exp@0.9.6 r-laplacesdemon@16.1.6 r-gtools@3.9.5 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=lddmm
Licenses: Expat
Build system: r
Synopsis: Longitudinal Drift-Diffusion Mixed Models (LDDMM)
Description:

Implementation of the drift-diffusion mixed model for category learning as described in Paulon et al. (2021) <doi:10.1080/01621459.2020.1801448>.

r-lares 5.3.2
Propagated dependencies: r-yaml@2.3.10 r-tidyr@1.3.1 r-stringr@1.6.0 r-rvest@1.0.5 r-rpart-plot@3.1.4 r-rpart@4.1.24 r-rlang@1.1.6 r-proc@1.19.0.1 r-patchwork@1.3.2 r-openxlsx@4.2.8.1 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-httr@1.4.7 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/laresbernardo/lares
Licenses: AGPL 3
Build system: r
Synopsis: Lean Analytics and Robust Exploration Sidekick
Description:

Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Marketing Mix Modeling (Robyn), Exploratory, API, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or advanced R programming skills.

r-lmboot 0.0.1
Propagated dependencies: r-evd@2.3-7.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lmboot
Licenses: GPL 2
Build system: r
Synopsis: Bootstrap in Linear Models
Description:

Various efficient and robust bootstrap methods are implemented for linear models with least squares estimation. Functions within this package allow users to create bootstrap sampling distributions for model parameters, test hypotheses about parameters, and visualize the bootstrap sampling or null distributions. Methods implemented for linear models include the wild bootstrap by Wu (1986) <doi:10.1214/aos/1176350142>, the residual and paired bootstraps by Efron (1979, ISBN:978-1-4612-4380-9), the delete-1 jackknife by Quenouille (1956) <doi:10.2307/2332914>, and the Bayesian bootstrap by Rubin (1981) <doi:10.1214/aos/1176345338>.

r-liblinear 2.10-24
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: <https://dnalytics.com/software/liblinear/>
Licenses: GPL 2
Build system: r
Synopsis: Linear Predictive Models Based on the LIBLINEAR C/C++ Library
Description:

This package provides a wrapper around the LIBLINEAR C/C++ library for machine learning (available at <https://www.csie.ntu.edu.tw/~cjlin/liblinear/>). LIBLINEAR is a simple library for solving large-scale regularized linear classification and regression. It currently supports L2-regularized classification (such as logistic regression, L2-loss linear SVM and L1-loss linear SVM) as well as L1-regularized classification (such as L2-loss linear SVM and logistic regression) and L2-regularized support vector regression (with L1- or L2-loss). The main features of LiblineaR include multi-class classification (one-vs-the rest, and Crammer & Singer method), cross validation for model selection, probability estimates (logistic regression only) or weights for unbalanced data. The estimation of the models is particularly fast as compared to other libraries.

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