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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-learningtower 1.1.0
Propagated dependencies: r-tibble@3.3.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://kevinwang09.github.io/learningtower/
Licenses: Expat
Build system: r
Synopsis: OECD PISA Datasets from 2000-2022 in an Easy-to-Use Format
Description:

The Programme for International Student Assessment (PISA) is a global study conducted by the Organization for Economic Cooperation and Development (OECD) in member and non-member countries to assess educational systems by assessing 15-year-old school students academic performance in mathematics, science, and reading. This datasets contains information on their scores and other socioeconomic characteristics, information about their school and its infrastructure, as well as the countries that are taking part in the program.

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-lterdatasampler 0.1.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/lter/lterdatasampler
Licenses: CC0
Build system: r
Synopsis: Educational Dataset Examples from the Long Term Ecological Research Program
Description:

Curated datasets from US Long Term Ecological Research sites.

r-lama 2.0.6
Propagated dependencies: r-splines2@0.5.4 r-sn@2.1.1 r-rtmb@1.8 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-numderiv@2016.8-1.1 r-mgcv@1.9-4 r-matrix@1.7-4 r-mass@7.3-65 r-circular@0.5-2
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://janoleko.github.io/LaMa/
Licenses: GPL 3
Build system: r
Synopsis: Fast Numerical Maximum Likelihood Estimation for Latent Markov Models
Description:

This package provides a variety of latent Markov models, including hidden Markov models, hidden semi-Markov models, state-space models and continuous-time variants can be formulated and estimated within the same framework via directly maximising the likelihood function using the so-called forward algorithm. Applied researchers often need custom models that standard software does not easily support. Writing tailored R code offers flexibility but suffers from slow estimation speeds. We address these issues by providing easy-to-use functions (written in C++ for speed) for common tasks like the forward algorithm. These functions can be combined into custom models in a Lego-type approach, offering up to 10-20 times faster estimation via standard numerical optimisers. To aid in building fully custom likelihood functions, several vignettes are included that show how to simulate data from and estimate all the above model classes.

r-lomb 2.5.0
Propagated dependencies: r-pracma@2.4.6 r-plotly@4.11.0 r-knitr@1.50 r-gridextra@2.3 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=lomb
Licenses: GPL 3+
Build system: r
Synopsis: Lomb-Scargle Periodogram
Description:

Computes the Lomb-Scargle Periodogram and actogram for evenly or unevenly sampled time series. Includes a randomization procedure to obtain exact p-values. Partially based on C original by Press et al. (Numerical Recipes) and the Python module Astropy. For more information see Ruf, T. (1999). The Lomb-Scargle periodogram in biological rhythm research: analysis of incomplete and unequally spaced time-series. Biological Rhythm Research, 30(2), 178-201.

r-loggit2 2.4.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/MEO265/loggit2
Licenses: Expat
Build system: r
Synopsis: Easy-to-Use, Dependencyless Logger
Description:

An easy-to-use ndjson (newline-delimited JSON') logger. It provides a set of wrappers for base R's message(), warning(), and stop() functions that maintain identical functionality, but also log the handler message to an ndjson log file. No change in existing code is necessary to use this package, and only a few additional adjustments are needed to fully utilize its potential.

r-lowpassfilter 1.0-2
Propagated dependencies: 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=lowpassFilter
Licenses: GPL 3
Build system: r
Synopsis: Lowpass Filtering
Description:

This package creates lowpass filters which are commonly used in ion channel recordings. It supports generation of random numbers that are filtered, i.e. follow a model for ion channel recordings, see <doi:10.1109/TNB.2018.2845126>. Furthermore, time continuous convolutions of piecewise constant signals with the kernel of lowpass filters can be computed.

r-lenses 0.0.3
Propagated dependencies: r-tidyselect@1.2.1 r-rlang@1.1.6 r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: http://cfhammill.github.io/lenses
Licenses: Expat
Build system: r
Synopsis: Elegant Data Manipulation with Lenses
Description:

This package provides tools for creating and using lenses to simplify data manipulation. Lenses are composable getter/setter pairs for working with data in a purely functional way. Inspired by the Haskell library lens (Kmett, 2012) <https://hackage.haskell.org/package/lens>. For a fairly comprehensive (and highly technical) history of lenses please see the lens wiki <https://github.com/ekmett/lens/wiki/History-of-Lenses>.

r-lfdr-mle 1.0.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: http://www.cran.r-project.org
Licenses: GPL 3
Build system: r
Synopsis: Estimation of the Local False Discovery Rates by Type II Maximum Likelihood Estimation
Description:

Suite of R functions for the estimation of the local false discovery rate (LFDR) using Type II maximum likelihood estimation (MLE).

r-longke 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-purrr@1.2.0 r-mvtnorm@1.3-3 r-fdapace@0.6.0 r-dplyr@1.1.4 r-bvls@1.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=longke
Licenses: GPL 3
Build system: r
Synopsis: Nonparametric Predictive Model for Sparse and Irregular Longitudinal Data
Description:

The proposed method aims at predicting the longitudinal mean response trajectory by a kernel-based estimator. The kernel estimator is constructed by imposing weights based on subject-wise similarity on L2 metric space between predictor trajectories as well as time proximity. Users could also perform variable selections to derive functional predictors with predictive significance by the proposed multiplicative model with multivariate Gaussian kernels.

r-lsafun 0.8.1
Propagated dependencies: r-rgl@1.3.31 r-lsa@0.73.3
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LSAfun
Licenses: GPL 2+
Build system: r
Synopsis: Applied Latent Semantic Analysis (LSA) Functions
Description:

This package provides functions that allow for convenient working with vector space models of semantics/distributional semantic models/word embeddings. Originally built for LSA models (hence the name), but can be used for all such vector-based models. For actually building a vector semantic space, use the package lsa or other specialized software. Downloadable semantic spaces can be found at <https://sites.google.com/site/fritzgntr/software-resources>.

r-live 1.5.13
Propagated dependencies: r-shiny@1.11.1 r-mlr@2.19.3 r-mass@7.3-65 r-gower@1.0.2 r-ggplot2@4.0.1 r-forestmodel@0.6.2 r-e1071@1.7-16 r-dplyr@1.1.4 r-data-table@1.17.8 r-breakdown@0.2.2
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/ModelOriented/live
Licenses: Expat
Build system: r
Synopsis: Local Interpretable (Model-Agnostic) Visual Explanations
Description:

Interpretability of complex machine learning models is a growing concern. This package helps to understand key factors that drive the decision made by complicated predictive model (so called black box model). This is achieved through local approximations that are either based on additive regression like model or CART like model that allows for higher interactions. The methodology is based on Tulio Ribeiro, Singh, Guestrin (2016) <doi:10.1145/2939672.2939778>. More details can be found in Staniak, Biecek (2018) <doi:10.32614/RJ-2018-072>.

r-leadsense 0.0.2.0
Propagated dependencies: r-tidyr@1.3.1 r-signal@1.8-1 r-seewave@2.2.4 r-reshape2@1.4.5 r-ggpubr@0.6.2 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=LeadSense
Licenses: Expat
Build system: r
Synopsis: Medtronic Brain Sense Local Field Potencial Analysis
Description:

Extracts and creates an analysis pipeline for the JSON data files from Brain Sense sessions using Medtronic's Deep Brain Stimulation surgery electrode implants.

r-landscapemetrics 2.2.1
Propagated dependencies: r-tibble@3.3.0 r-terra@1.8-86 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-ggplot2@4.0.1 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://r-spatialecology.github.io/landscapemetrics/
Licenses: GPL 3
Build system: r
Synopsis: Landscape Metrics for Categorical Map Patterns
Description:

Calculates landscape metrics for categorical landscape patterns in a tidy workflow. landscapemetrics reimplements the most common metrics from FRAGSTATS (<https://www.fragstats.org/>) and new ones from the current literature on landscape metrics. This package supports terra SpatRaster objects as input arguments. It further provides utility functions to visualize patches, select metrics and building blocks to develop new metrics.

r-lacunaritycovariance 1.1-9
Propagated dependencies: r-spatstat-random@3.4-3 r-spatstat-geom@3.6-1 r-spatstat-explore@3.6-0 r-spatstat@3.4-1 r-rcpproll@0.3.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/kasselhingee/lacunaritycovariance
Licenses: GPL 2+
Build system: r
Synopsis: Gliding Box Lacunarity and Other Metrics for 2D Random Closed Sets
Description:

This package provides functions for estimating the gliding box lacunarity (GBL), covariance, and pair-correlation of a random closed set (RACS) in 2D from a binary coverage map (e.g. presence-absence land cover maps). Contains a number of newly-developed covariance-based estimators of GBL (Hingee et al., 2019) <doi:10.1007/s13253-019-00351-9> and balanced estimators, proposed by Picka (2000) <http://www.jstor.org/stable/1428408>, for covariance, centred covariance, and pair-correlation. Also contains methods for estimating contagion-like properties of RACS and simulating 2D Boolean models. Binary coverage maps are usually represented as raster images with pixel values of TRUE, FALSE or NA, with NA representing unobserved pixels. A demo for extracting such a binary map from a geospatial data format is provided. Binary maps may also be represented using polygonal sets as the foreground, however for most computations such maps are converted into raster images. The package is based on research conducted during the author's PhD studies.

r-longevity 1.3
Propagated dependencies: r-rsolnp@2.0.1 r-rlang@1.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-numderiv@2016.8-1.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://lbelzile.github.io/longevity/
Licenses: GPL 3
Build system: r
Synopsis: Statistical Methods for the Analysis of Excess Lifetimes
Description:

This package provides a collection of parametric and nonparametric methods for the analysis of survival data. Parametric families implemented include Gompertz-Makeham, exponential and generalized Pareto models and extended models. The package includes an implementation of the nonparametric maximum likelihood estimator for arbitrary truncation and censoring pattern based on Turnbull (1976) <doi:10.1111/j.2517-6161.1976.tb01597.x>, along with graphical goodness-of-fit diagnostics. Parametric models for positive random variables and peaks over threshold models based on extreme value theory are described in Rootzén and Zholud (2017) <doi:10.1007/s10687-017-0305-5>; Belzile et al. (2021) <doi:10.1098/rsos.202097> and Belzile et al. (2022) <doi:10.1146/annurev-statistics-040120-025426>.

r-learnpca 0.3.4
Propagated dependencies: r-shiny@1.11.1 r-rpart@4.1.24 r-nnet@7.3-20 r-markdown@2.0 r-class@7.3-23
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://bryanhanson.github.io/LearnPCA/
Licenses: GPL 3
Build system: r
Synopsis: Functions, Data Sets and Vignettes to Aid in Learning Principal Components Analysis (PCA)
Description:

Principal component analysis (PCA) is one of the most widely used data analysis techniques. This package provides a series of vignettes explaining PCA starting from basic concepts. The primary purpose is to serve as a self-study resource for anyone wishing to understand PCA better. A few convenience functions are provided as well.

r-listarrays 0.4.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/t-kalinowski/listarrays
Licenses: GPL 3
Build system: r
Synopsis: Toolbox for Working with R Arrays in a Functional Programming Style
Description:

This package provides a toolbox for R arrays. Flexibly split, bind, reshape, modify, subset and name arrays.

r-lpda 1.2.2
Propagated dependencies: r-rglpk@0.6-5.1 r-multiway@1.0-7
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lpda
Licenses: GPL 2+
Build system: r
Synopsis: Linear Programming Discriminant Analysis
Description:

Classification method obtained through linear programming. It is advantageous with respect to the classical developments when the distribution of the variables involved is unknown or when the number of variables is much greater than the number of individuals. Mathematical details behind the method are published in Nueda, et al. (2022) "LPDA: A new classification method based on linear programming". <doi:10.1371/journal.pone.0270403>.

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-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-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-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-lcopula 1.0.7
Propagated dependencies: r-rcpp@1.1.0 r-copula@1.1-6
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lcopula
Licenses: GPL 3
Build system: r
Synopsis: Liouville Copulas
Description:

Collections of functions allowing random number generations and estimation of Liouville copulas, as described in Belzile and Neslehova (2017) <doi:10.1016/j.jmva.2017.05.008>.

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