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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-luzlogr 0.2.1
Propagated dependencies: r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=luzlogr
Licenses: Expat
Build system: r
Synopsis: Lightweight Logging for R Scripts
Description:

This package provides flexible but lightweight logging facilities for R scripts. Supports priority levels for logs and messages, flagging messages, capturing script output, switching logs, and logging to files or connections.

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-log4r 0.4.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/johnmyleswhite/log4r
Licenses: Artistic License 2.0
Build system: r
Synopsis: Fast and Lightweight Logging System for R, Based on 'log4j'
Description:

The log4r package is meant to provide a fast, lightweight, object-oriented approach to logging in R based on the widely-emulated log4j system and etymology.

r-licoread 0.3.0
Propagated dependencies: r-yaml@2.3.10 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://jogaudard.github.io/licoread/
Licenses: GPL 3+
Build system: r
Synopsis: Reads Raw Files from Li-COR Gas Analyzers
Description:

Reads raw files from Li-COR gas analyzers and produces a dataframe that can directly be used with fluxible <https://cran.r-project.org/package=fluxible>.

r-lmofit 0.1.7
Propagated dependencies: r-sf@1.0-23 r-pracma@2.4.6 r-lmom@3.2 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=LMoFit
Licenses: GPL 3
Build system: r
Synopsis: Advanced L-Moment Fitting of Distributions
Description:

This package provides a complete framework for frequency analysis is provided by LMoFit'. It has functions related to the determination of sample L-moments as in Hosking, J.R.M. (1990) <doi:10.1111/j.2517-6161.1990.tb01775.x>, the fitting of various distributions as in Zaghloul et al. (2020) <doi:10.1016/j.advwatres.2020.103720> and Hosking, J.R.M. (2019) <https://CRAN.R-project.org/package=lmom>, besides plotting and manipulating L-space diagrams as in Papalexiou, S.M. & Koutsoyiannis, D. (2016) <doi:10.1016/j.advwatres.2016.05.005> for two-shape parametric distributions on the L-moment ratio diagram. Additionally, the quantile, probability density, and cumulative probability functions of various distributions are provided in a user-friendly manner.

r-lucid 1.11
Propagated dependencies: r-nlme@3.1-168
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://kwstat.github.io/lucid/
Licenses: Expat
Build system: r
Synopsis: Printing Floating Point Numbers in a Human-Friendly Format
Description:

Print vectors (and data frames) of floating point numbers using a non-scientific format optimized for human readers. Vectors of numbers are rounded using significant digits, aligned at the decimal point, and all zeros trailing the decimal point are dropped. See: Wright (2016). Lucid: An R Package for Pretty-Printing Floating Point Numbers. In JSM Proceedings, Statistical Computing Section. Alexandria, VA: American Statistical Association. 2270-2279.

r-lorenzregression 2.3.1
Propagated dependencies: r-rsample@1.3.1 r-rearrangement@2.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-progress@1.2.3 r-parsnip@1.3.3 r-mass@7.3-65 r-ggplot2@4.0.1 r-ga@3.2.4 r-foreach@1.5.2 r-doparallel@1.0.17 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/AlJacq/LorenzRegression
Licenses: GPL 3
Build system: r
Synopsis: Lorenz and Penalized Lorenz Regressions
Description:

Inference for the Lorenz and penalized Lorenz regressions. More broadly, the package proposes functions to assess inequality and graphically represent it. The Lorenz Regression procedure is introduced in Heuchenne and Jacquemain (2022) <doi:10.1016/j.csda.2021.107347> and in Jacquemain, A., C. Heuchenne, and E. Pircalabelu (2024) <doi:10.1214/23-EJS2200>.

r-labelmachine 1.0.0
Propagated dependencies: r-yaml@2.3.10
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://a-maldet.github.io/labelmachine
Licenses: GPL 3
Build system: r
Synopsis: Make Labeling of R Data Sets Easy
Description:

Assign meaningful labels to data frame columns. labelmachine manages your label assignment rules in yaml files and makes it easy to use the same labels in multiple projects.

r-laketemps 0.5.1
Propagated dependencies: r-reshape2@1.4.5 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=laketemps
Licenses: CC0
Build system: r
Synopsis: Lake Temperatures Collected by Situ and Satellite Methods from 1985-2009
Description:

Lake temperature records, metadata, and climate drivers for 291 global lakes during the time period 1985-2009. Temperature observations were collected using satellite and in situ methods. Climatic drivers and geomorphometric characteristics were also compiled and are included for each lake. Data are part of the associated publication from the Global Lake Temperature Collaboration project (http://www.laketemperature.org). See citation('laketemps') for dataset attribution.

r-localsp 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-sf@1.0-23 r-sdsfun@0.8.1 r-purrr@1.2.0 r-gdverse@1.6 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://ausgis.github.io/localsp/
Licenses: GPL 3
Build system: r
Synopsis: Local Indicator of Stratified Power
Description:

This package implements a local indicator of stratified power to analyze local spatial stratified association and demonstrate how spatial stratified association changes spatially and in local regions, as outlined in Hu et al. (2024) <doi:10.1080/13658816.2024.2437811>.

r-lifx 0.2.0
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7 r-curl@7.0.0 r-crayon@1.5.3 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lifx
Licenses: GPL 3
Build system: r
Synopsis: Control 'LIFX' Smart Light Bulbs
Description:

Allows you to read and change the state of LIFX smart light bulbs via the LIFX developer api <https://api.developer.lifx.com/>. Covers most LIFX api endpoints, including changing light color and brightness, selecting lights by id, group or location as well as activating effects.

r-looprig 0.1.1
Propagated dependencies: r-s4vectors@0.48.0 r-iranges@2.44.0 r-genomicranges@1.62.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LoopRig
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Integration and Analysis of Chromatin Loop Data
Description:

Common coordinate-based workflows involving processed chromatin loop and genomic element data are considered and packaged into appropriate customizable functions. Includes methods for linking element sets via chromatin loops and creating consensus loop datasets.

r-latticedensity 1.2.7
Propagated dependencies: r-splancs@2.01-45 r-spdep@1.4-1 r-spatstat-geom@3.6-1 r-spatstat@3.4-1 r-spatialreg@1.4-2 r-spam@2.11-1 r-sp@2.2-0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=latticeDensity
Licenses: GPL 2
Build system: r
Synopsis: Density Estimation and Nonparametric Regression on Irregular Regions
Description:

This package provides functions that compute the lattice-based density and regression estimators for two-dimensional regions with irregular boundaries and holes. The density estimation technique is described in Barry and McIntyre (2011) <doi:10.1016/j.ecolmodel.2011.02.016>, while the non-parametric regression technique is described in McIntyre and Barry (2018) <doi:10.1080/10618600.2017.1375935>.

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-lsmrealoptions 0.2.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LSMRealOptions
Licenses: GPL 3
Build system: r
Synopsis: Value American and Real Options Through LSM Simulation
Description:

The least-squares Monte Carlo (LSM) simulation method is a popular method for the approximation of the value of early and multiple exercise options. LSMRealOptions provides implementations of the LSM simulation method to value American option products and capital investment projects through real options analysis. LSMRealOptions values capital investment projects with cash flows dependent upon underlying state variables that are stochastically evolving, providing analysis into the timing and critical values at which investment is optimal. LSMRealOptions provides flexibility in the stochastic processes followed by underlying assets, the number of state variables, basis functions and underlying asset characteristics to allow a broad range of assets to be valued through the LSM simulation method. Real options projects are further able to be valued whilst considering construction periods, time-varying initial capital expenditures and path-dependent operational flexibility including the ability to temporarily shutdown or permanently abandon projects after initial investment has occurred. The LSM simulation method was first presented in the prolific work of Longstaff and Schwartz (2001) <doi:10.1093/rfs/14.1.113>.

r-ls2w 1.3.7
Propagated dependencies: r-wavethresh@4.7.3 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=LS2W
Licenses: GPL 2
Build system: r
Synopsis: Locally Stationary Two-Dimensional Wavelet Process Estimation Scheme
Description:

Estimates two-dimensional local wavelet spectra.

r-limonaid 25.5.5
Propagated dependencies: r-xml2@1.5.0 r-r6@2.6.1 r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://limonaid.opens.science
Licenses: GPL 3+
Build system: r
Synopsis: Working with 'LimeSurvey' Surveys and Responses
Description:

LimeSurvey is Free/Libre Open Source Software for the development and administrations of online studies, using sophisticated tailoring capabilities to support multiple study designs (see <https://www.limesurvey.org>). This package supports programmatic creation of surveys that can then be imported into LimeSurvey', as well as user friendly import of responses from LimeSurvey studies.

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-ldhmm 0.6.1
Propagated dependencies: r-zoo@1.8-14 r-yaml@2.3.10 r-xts@0.14.1 r-scales@1.4.0 r-optimx@2025-4.9 r-moments@0.14.1 r-gnorm@1.0.0 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=ldhmm
Licenses: Artistic License 2.0
Build system: r
Synopsis: Hidden Markov Model for Financial Time-Series Based on Lambda Distribution
Description:

Hidden Markov Model (HMM) based on symmetric lambda distribution framework is implemented for the study of return time-series in the financial market. Major features in the S&P500 index, such as regime identification, volatility clustering, and anti-correlation between return and volatility, can be extracted from HMM cleanly. Univariate symmetric lambda distribution is essentially a location-scale family of exponential power distribution. Such distribution is suitable for describing highly leptokurtic time series obtained from the financial market. It provides a theoretically solid foundation to explore such data where the normal distribution is not adequate. The HMM implementation follows closely the book: "Hidden Markov Models for Time Series", by Zucchini, MacDonald, Langrock (2016).

r-latent2likert 1.2.1
Propagated dependencies: r-sn@2.1.1 r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://lalovic.io/latent2likert/
Licenses: Expat
Build system: r
Synopsis: Converting Latent Variables into Likert Scale Responses
Description:

Effectively simulates the discretization process inherent to Likert scales while minimizing distortion. It converts continuous latent variables into ordinal categories to generate Likert scale item responses. Particularly useful for accurately modeling and analyzing survey data that use Likert scales, especially when applying statistical techniques that require metric data.

r-lexfindr 1.1.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/maglab-uconn/LexFindR
Licenses: GPL 3+
Build system: r
Synopsis: Find Related Items and Lexical Dimensions in a Lexicon
Description:

This package implements code to identify lexical competitors in a given list of words. We include many of the standard competitor types used in spoken word recognition research, such as functions to find cohorts, neighbors, and rhymes, amongst many others. The package includes documentation for using a variety of lexicon files, including those with form codes made up of multiple letters (i.e., phoneme codes) and also basic orthographies. Importantly, the code makes use of multiple CPU cores and vectorization when possible, making it extremely fast and able to handle large lexicons. Additionally, the package contains documentation for users to easily write new functions, allowing researchers to examine other relationships within a lexicon. Preprint: <https://osf.io/preprints/psyarxiv/8dyru/>. Open access: <doi:10.3758/s13428-021-01667-6>. Citation: Li, Z., Crinnion, A.M. & Magnuson, J.S. (2021). <doi:10.3758/s13428-021-01667-6>.

r-lognorm 0.1.10
Propagated dependencies: r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/bgctw/lognorm
Licenses: GPL 2
Build system: r
Synopsis: Functions for the Lognormal Distribution
Description:

The lognormal distribution (Limpert et al. (2001) <doi:10.1641/0006-3568(2001)051%5B0341:lndats%5D2.0.co;2>) can characterize uncertainty that is bounded by zero. This package provides estimation of distribution parameters, computation of moments and other basic statistics, and an approximation of the distribution of the sum of several correlated lognormally distributed variables (Lo 2013 <doi:10.12988/ams.2013.39511>) and the approximation of the difference of two correlated lognormally distributed variables (Lo 2012 <doi:10.1155/2012/838397>).

r-lrep 0.1.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LREP
Licenses: GPL 3+
Build system: r
Synopsis: Estimate and Test Exponential vs. Pareto Distributions
Description:

The programs were developed for estimation of parameters and testing exponential versus Pareto distribution during our work on hydrologic extremes. See Kozubowski, T.J., A.K. Panorska, F. Qeadan, and A. Gershunov (2007) <doi:10.1080/03610910802439121>, and Panorska, A.K., A. Gershunov, and T.J. Kozubowski (2007) <doi:10.1007/978-0-387-34918-3_26>.

r-lfmm 1.1
Propagated dependencies: r-rspectra@0.16-2 r-rmarkdown@2.30 r-readr@2.1.6 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-purrr@1.2.0 r-mass@7.3-65 r-knitr@1.50 r-ggplot2@4.0.1 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=lfmm
Licenses: GPL 3
Build system: r
Synopsis: Latent Factor Mixed Models
Description:

Fast and accurate inference of gene-environment associations (GEA) in genome-wide studies (Caye et al., 2019, <doi:10.1093/molbev/msz008>). We developed a least-squares estimation approach for confounder and effect sizes estimation that provides a unique framework for several categories of genomic data, not restricted to genotypes. The speed of the new algorithm is several times faster than the existing GEA approaches, then our previous version of the LFMM program present in the LEA package (Frichot and Francois, 2015, <doi:10.1111/2041-210X.12382>).

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