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r-log 1.1.1
Propagated dependencies: r-r6@2.6.1 r-crayon@1.5.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=log
Licenses: AGPL 3
Synopsis: Record Events and Issues
Description:

Logger to keep track of informational events and errors useful for debugging.

r-logr 1.3.9
Propagated dependencies: r-withr@3.0.2 r-common@1.1.3
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://logr.r-sassy.org
Licenses: CC0
Synopsis: Creates Log Files
Description:

This package contains functions to help create log files. The package aims to overcome the difficulty of the base R sink() command. The log_print() function will print to both the console and the file log, without interfering in other write operations.

r-logrx 0.4.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.2.1 r-stringr@1.5.1 r-stringi@1.8.7 r-sessioninfo@1.2.3 r-rlang@1.1.6 r-purrr@1.0.4 r-magrittr@2.0.3 r-lifecycle@1.0.4 r-dplyr@1.1.4 r-digest@0.6.37
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://pharmaverse.github.io/logrx/
Licenses: Expat
Synopsis: Logging Utility Focus on Clinical Trial Programming Workflows
Description:

This package provides a utility to facilitate the logging and review of R programs in clinical trial programming workflows.

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
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-login 0.9.3
Propagated dependencies: r-stringr@1.5.1 r-shinyjs@2.1.0 r-shinybusy@0.3.3 r-shiny@1.10.0 r-htmltools@0.5.8.1 r-emayili@0.9.3 r-digest@0.6.37 r-dbi@1.2.3 r-cookies@0.2.3
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/jbryer/login
Licenses: GPL 3+
Synopsis: 'shiny' Login Module
Description:

Framework for adding authentication to shiny applications. Provides flexibility as compared to other options for where user credentials are saved, allows users to create their own accounts, and password reset functionality. Bryer (2024) <doi:10.5281/zenodo.10987876>.

r-logos 0.1.0
Propagated dependencies: r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/jpmonteagudo28/logos
Licenses: GPL 3+
Synopsis: Access to the Hebrew, Greek, and English Version of the Bible
Description:

Access to the Greek New Testament (27 books) and the Old Testament (39 books) and allow users to do textual analysis on the data. The New and Old Testament have been provided in their original languages, Greek and Hebrew, respectively. Additionally, the Revised American Standard Bible is also provided for users who'd rather use a wordâ forâ word modern English translation.

r-logan 1.0.1
Propagated dependencies: r-stringr@1.5.1 r-rlang@1.1.6 r-psych@2.5.3 r-pander@0.6.6 r-modules@0.13.0 r-magrittr@2.0.3 r-ggplot2@3.5.2 r-foreign@0.8-90 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=LOGAN
Licenses: GPL 3
Synopsis: Log File Analysis in International Large-Scale Assessments
Description:

Enables users to handle the dataset cleaning for conducting specific analyses with the log files from two international educational assessments: the Programme for International Student Assessment (PISA, <https://www.oecd.org/pisa/>) and the Programme for the International Assessment of Adult Competencies (PIAAC, <https://www.oecd.org/skills/piaac/>). An illustration of the analyses can be found on the LOGAN Shiny app (<https://loganpackage.shinyapps.io/shiny/>) on your browser.

r-logib 0.2.0
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+
Synopsis: Salary Analysis by the Swiss Federal Office for Gender Equality
Description:

Implementation of the Swiss Confederation's standard analysis model for salary analyses <https://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-logbin 2.0.6
Propagated dependencies: r-turboem@2025.1 r-matrix@1.7-3 r-itertools2@0.1.1 r-iterators@1.0.14 r-glm2@1.2.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/mdonoghoe/logbin
Licenses: GPL 2+
Synopsis: Relative Risk Regression Using the Log-Binomial Model
Description:

This package provides methods for fitting log-link GLMs and GAMs to binomial data, including EM-type algorithms with more stable convergence properties than standard methods.

r-logger 0.4.0
Channel: guix
Location: gnu/packages/cran.scm (gnu packages cran)
Home page: https://daroczig.github.io/logger/
Licenses: AGPL 3+
Synopsis: Lightweight and flexible logging utility
Description:

Inspired by the the futile.logger R package and logging Python module, this utility provides a flexible and extensible way of formatting and delivering log messages with low overhead.

r-logkde 0.3.2
Propagated dependencies: r-rcpp@1.0.14 r-pracma@2.4.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=logKDE
Licenses: GPL 3
Synopsis: Computing Log-Transformed Kernel Density Estimates for Positive Data
Description:

Computes log-transformed kernel density estimates for positive data using a variety of kernels. It follows the methods described in Jones, Nguyen and McLachlan (2018) <doi:10.21105/joss.00870>.

r-loggit 2.1.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/ryapric/loggit
Licenses: Expat
Synopsis: Modern Logging for the R Ecosystem
Description:

An effortless ndjson (newline-delimited JSON') logger, with two primary log-writing interfaces. It provides a set of wrappings for base R's message(), warning(), and stop() functions that maintain identical functionality, but also log the handler message to an ndjson log file. loggit also exports its internal loggit() function for powerful and configurable custom logging. No change in existing code is necessary to use this package, and should only require additions to fully leverage the power of the logging system. loggit also provides a log reader for reading an ndjson log file into a data frame, log rotation, and live echo of the ndjson log messages to terminal stdout for log capture by external systems (like containers). loggit is ideal for Shiny apps, data pipelines, modeling work flows, and more. Please see the vignettes for detailed example use cases.

r-logitr 1.1.2
Propagated dependencies: r-tibble@3.2.1 r-randtoolbox@2.0.5 r-nloptr@2.2.1 r-mass@7.3-65 r-generics@0.1.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/jhelvy/logitr
Licenses: Expat
Synopsis: Logit Models w/Preference & WTP Space Utility Parameterizations
Description:

Fast estimation of multinomial (MNL) and mixed logit (MXL) models in R. Models can be estimated using "Preference" space or "Willingness-to-pay" (WTP) space utility parameterizations. Weighted models can also be estimated. An option is available to run a parallelized multistart optimization loop with random starting points in each iteration, which is useful for non-convex problems like MXL models or models with WTP space utility parameterizations. The main optimization loop uses the nloptr package to minimize the negative log-likelihood function. Additional functions are available for computing and comparing WTP from both preference space and WTP space models and for predicting expected choices and choice probabilities for sets of alternatives based on an estimated model. Mixed logit models can include uncorrelated or correlated heterogeneity covariances and are estimated using maximum simulated likelihood based on the algorithms in Train (2009) <doi:10.1017/CBO9780511805271>. More details can be found in Helveston (2023) <doi:10.18637/jss.v105.i10>.

r-logging 0.10-108
Channel: guix
Location: gnu/packages/cran.scm (gnu packages cran)
Home page: https://github.com/WLOGSolutions/r-logging
Licenses: GPL 3
Synopsis: R logging implementation of log4j
Description:

This package implements the R version of the log4j package. It offers hierarchic loggers, multiple handlers per logger, level based filtering, space handling in messages and custom formatting.

r-logngpd 0.1.0
Propagated dependencies: r-rdpack@2.6.4 r-lnpar@1.1.1 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
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-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
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-logitfd 1.0
Propagated dependencies: r-proc@1.18.5 r-fda-usc@2.2.0 r-fda@6.3.0 r-expm@1.0-0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=logitFD
Licenses: GPL 2+
Synopsis: Functional Principal Components Logistic Regression
Description:

This package provides functions for fitting a functional principal components logit regression model in four different situations: ordinary and filtered functional principal components of functional predictors, included in the model according to their variability explanation power, and according to their prediction ability by stepwise methods. The proposed methods were developed in Escabias et al (2004) <doi:10.1080/10485250310001624738> and Escabias et al (2005) <doi:10.1016/j.csda.2005.03.011>.

r-lognorm 0.1.10
Propagated dependencies: r-matrix@1.7-3
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/bgctw/lognorm
Licenses: GPL 2
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-logicdt 1.0.5
Propagated dependencies: r-glmnet@4.1-8
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=logicDT
Licenses: Expat
Synopsis: Identifying Interactions Between Binary Predictors
Description:

This package provides a statistical learning method that tries to find the best set of predictors and interactions between predictors for modeling binary or quantitative response data in a decision tree. Several search algorithms and ensembling techniques are implemented allowing for finetuning the method to the specific problem. Interactions with quantitative covariables can be properly taken into account by fitting local regression models. Moreover, a variable importance measure for assessing marginal and interaction effects is provided. Implements the procedures proposed by Lau et al. (2024, <doi:10.1007/s10994-023-06488-6>).

r-logibin 0.3
Propagated dependencies: r-partykit@1.2-24 r-iterators@1.0.14 r-foreach@1.5.2 r-doparallel@1.0.17 r-data-table@1.17.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=logiBin
Licenses: GPL 2
Synopsis: Binning Variables to Use in Logistic Regression
Description:

Fast binning of multiple variables using parallel processing. A summary of all the variables binned is generated which provides the information value, entropy, an indicator of whether the variable follows a monotonic trend or not, etc. It supports rebinning of variables to force a monotonic trend as well as manual binning based on pre specified cuts. The cut points of the bins are based on conditional inference trees as implemented in the partykit package. The conditional inference framework is described by Hothorn T, Hornik K, Zeileis A (2006) <doi:10.1198/106186006X133933>.

r-logistf 1.26.1
Propagated dependencies: r-formula-tools@1.7.1 r-matrix@1.7-3 r-mgcv@1.9-3 r-mice@3.18.0
Channel: guix
Location: gnu/packages/cran.scm (gnu packages cran)
Home page: https://cemsiis.meduniwien.ac.at/en/kb/science-research/software/statistical-software/firth-correction/
Licenses: GPL 3+
Synopsis: Firth's bias-reduced logistic regression
Description:

Fit a logistic regression model using Firth's bias reduction method, equivalent to penalization of the log-likelihood by the Jeffreys prior. Confidence intervals for regression coefficients can be computed by penalized profile likelihood. Firth's method was proposed as ideal solution to the problem of separation in logistic regression, see Heinze and Schemper (2002) <doi:10.1002/sim.1047>. If needed, the bias reduction can be turned off such that ordinary maximum likelihood logistic regression is obtained. Two new modifications of Firth's method, FLIC and FLAC, lead to unbiased predictions and are now available in the package as well, see Puhr et al (2017) <doi:10.1002/sim.7273>.

r-logmult 0.7.4
Propagated dependencies: r-qvcalc@1.0.4 r-gnm@1.1-5
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/nalimilan/logmult
Licenses: GPL 2+
Synopsis: Log-Multiplicative Models, Including Association Models
Description:

This package provides functions to fit log-multiplicative models using gnm', with support for convenient printing, plots, and jackknife/bootstrap standard errors. For complex survey data, models can be fitted from design objects from the survey package. Currently supported models include UNIDIFF (Erikson & Goldthorpe, 1992), a.k.a. log-multiplicative layer effect model (Xie, 1992) <doi:10.2307/2096242>, and several association models: Goodman (1979) <doi:10.2307/2286971> row-column association models of the RC(M) and RC(M)-L families with one or several dimensions; two skew-symmetric association models proposed by Yamaguchi (1990) <doi:10.2307/271086> and by van der Heijden & Mooijaart (1995) <doi:10.1177/0049124195024001002> Functions allow computing the intrinsic association coefficient (see Bouchet-Valat (2022) <doi:10.1177/0049124119852389>) and the Altham (1970) index <doi:10.1111/j.2517-6161.1970.tb00816.x>, including via the Bayes shrinkage estimator proposed by Zhou (2015) <doi:10.1177/0081175015570097>; and the RAS/IPF/Deming-Stephan algorithm.

r-logihist 1.1
Propagated dependencies: r-ggplot2@3.5.2
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=logihist
Licenses: GPL 2+
Synopsis: Combined Graphs for Logistic Regression
Description:

This package provides histograms, boxplots and dotplots as alternatives to scatterplots of data when plotting fitted logistic regressions.

r-logicreg 1.6.6
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LogicReg
Licenses: GPL 2+
Synopsis: Logic Regression
Description:

Routines for fitting Logic Regression models. Logic Regression is described in Ruczinski, Kooperberg, and LeBlanc (2003) <DOI:10.1198/1061860032238>. Monte Carlo Logic Regression is described in and Kooperberg and Ruczinski (2005) <DOI:10.1002/gepi.20042>.

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