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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-lahman 14.0-0
Propagated dependencies: r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cdalzell.github.io/Lahman/
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Sean 'Lahman' Baseball Database
Description:

This package provides the tables from the Sean Lahman Baseball Database as a set of R data.frames. It uses the data on pitching, hitting and fielding performance and other tables from 1871 through 2024, as recorded in the 2025 version of the database. Documentation examples show how many baseball questions can be investigated.

r-lmridge 1.2.2
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lmridge
Licenses: GPL 2+
Build system: r
Synopsis: Linear Ridge Regression with Ridge Penalty and Ridge Statistics
Description:

Linear ridge regression coefficient's estimation and testing with different ridge related measures such as MSE, R-squared etc. REFERENCES i. Hoerl and Kennard (1970) <doi:10.1080/00401706.1970.10488634>, ii. Halawa and El-Bassiouni (2000) <doi:10.1080/00949650008812006>, iii. Imdadullah, Aslam, and Saima (2017), iv. Marquardt (1970) <doi:10.2307/1267205>.

r-lqr 5.2
Propagated dependencies: r-spatstat-univar@3.1-5 r-quantreg@6.1 r-numderiv@2016.8-1.1 r-momtrunc@6.1 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=lqr
Licenses: GPL 2+
Build system: r
Synopsis: Robust Linear Quantile Regression
Description:

It fits a robust linear quantile regression model using a new family of zero-quantile distributions for the error term. Missing values and censored observations can be handled as well. This family of distribution includes skewed versions of the Normal, Student's t, Laplace, Slash and Contaminated Normal distribution. It also performs logistic quantile regression for bounded responses as shown in Galarza et.al.(2020) <doi:10.1007/s13571-020-00231-0>. It provides estimates and full inference. It also provides envelopes plots for assessing the fit and confidences bands when several quantiles are provided simultaneously.

r-lcpm 0.1.1
Propagated dependencies: r-plyr@1.8.9 r-numderiv@2016.8-1.1 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lcpm
Licenses: GPL 3
Build system: r
Synopsis: Ordinal Outcomes: Generalized Linear Models with the Log Link
Description:

An implementation of the Log Cumulative Probability Model (LCPM) and Proportional Probability Model (PPM) for which the Maximum Likelihood Estimates are determined using constrained optimization. This implementation accounts for the implicit constraints on the parameter space. Other features such as standard errors, z tests and p-values use standard methods adapted from the results based on constrained optimization.

r-llming 1.1.0
Dependencies: python-pandas@2.2.3 python-numpy@1.26.4
Propagated dependencies: r-text@1.8.1 r-stringi@1.8.7 r-stopwords@2.3 r-reticulate@1.44.1 r-rdpack@2.6.4 r-quanteda@4.3.1 r-pracma@2.4.6 r-jsonlite@2.0.0 r-dbscan@1.2.3
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/sliplr19/LLMing
Licenses: Expat
Build system: r
Synopsis: Large Language Model (LLM) Tools for Psychological Text Analysis
Description:

This package provides a collection of large language model (LLM) text analysis methods designed with psychological data in mind. Currently, LLMing (aka "lemming") includes a text anomaly detection method based on the angle-based subspace approach described by Zhang, Lin, and Karim (2015) and a text generation method. <doi:10.1016/j.ress.2015.05.025>.

r-lmf 1.2.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lmf
Licenses: GPL 2
Build system: r
Synopsis: Functions for Estimation and Inference of Selection in Age-Structured Populations
Description:

This package provides methods for estimation and statistical inference on directional and fluctuating selection in age-structured populations.

r-lingmatch 1.0.7
Propagated dependencies: r-rcppparallel@5.1.11-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://miserman.github.io/lingmatch/
Licenses: GPL 2+
Build system: r
Synopsis: Linguistic Matching and Accommodation
Description:

Measure similarity between texts. Offers a variety of processing tools and similarity metrics to facilitate flexible representation of texts and matching. Implements forms of Language Style Matching (Ireland & Pennebaker, 2010) <doi:10.1037/a0020386> and Latent Semantic Analysis (Landauer & Dumais, 1997) <doi:10.1037/0033-295X.104.2.211>.

r-lin-eval 0.1.2
Propagated dependencies: r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lin.eval
Licenses: Expat
Build system: r
Synopsis: Perform Polynomial Evaluation of Linearity
Description:

Evaluates whether the relationship between two vectors is linear or nonlinear. Performs a test to determine how well a linear model fits the data compared to higher order polynomial models. Jhang et al. (2004) <doi:10.1043/1543-2165(2004)128%3C44:EOLITC%3E2.0.CO;2>.

r-lokern 1.1-12
Propagated dependencies: r-sfsmisc@1.1-23
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://curves-etc.r-forge.r-project.org/
Licenses: GPL 2+
Build system: r
Synopsis: Kernel Regression Smoothing with Local or Global Plug-in Bandwidth
Description:

Kernel regression smoothing with adaptive local or global plug-in bandwidth selection.

r-lineartestr 1.0.0
Propagated dependencies: r-viridis@0.6.5 r-tidyr@1.3.1 r-sandwich@3.1-1 r-readr@2.1.6 r-matrix@1.7-4 r-ggplot2@4.0.1 r-forecast@8.24.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/FedericoGarza/lineartestr
Licenses: GPL 2+
Build system: r
Synopsis: Linear Specification Testing
Description:

Tests whether the linear hypothesis of a model is correct specified using Dominguez-Lobato test. Also Ramsey's RESET (Regression Equation Specification Error Test) test is implemented and Wald tests can be carried out. Although RESET test is widely used to test the linear hypothesis of a model, Dominguez and Lobato (2019) proposed a novel approach that generalizes well known specification tests such as Ramsey's. This test relies on wild-bootstrap; this package implements this approach to be usable with any function that fits linear models and is compatible with the update() function such as stats'::lm(), lfe'::felm() and forecast'::Arima(), for ARMA (autoregressiveâ moving-average) models. Also the package can handle custom statistics such as Cramer von Mises and Kolmogorov Smirnov, described by the authors, and custom distributions such as Mammen (discrete and continuous) and Rademacher. Manuel A. Dominguez & Ignacio N. Lobato (2019) <doi:10.1080/07474938.2019.1687116>.

r-linreginteractive 0.3-4
Propagated dependencies: r-xtable@1.8-4 r-rpanel@1.1-5.2
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LinRegInteractive
Licenses: GPL 2
Build system: r
Synopsis: Interactive Interpretation of Linear Regression Models
Description:

Interactive visualization of effects, response functions and marginal effects for different kinds of regression models. In this version linear regression models, generalized linear models, generalized additive models and linear mixed-effects models are supported. Major features are the interactive approach and the handling of the effects of categorical covariates: if two or more factors are used as covariates every combination of the levels of each factor is treated separately. The automatic calculation of marginal effects and a number of possibilities to customize the graphical output are useful features as well.

r-lkt 1.7.0
Propagated dependencies: r-sparsem@1.84-2 r-proc@1.19.0.1 r-matrix@1.7-4 r-lme4@1.1-37 r-liblinear@2.10-24 r-hdinterval@0.2.4 r-glmnetutils@1.1.9 r-glmnet@4.1-10 r-data-table@1.17.8 r-crayon@1.5.3 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LKT
Licenses: GPL 3
Build system: r
Synopsis: Logistic Knowledge Tracing
Description:

Computes Logistic Knowledge Tracing ('LKT') which is a general method for tracking human learning in an educational software system. Please see Pavlik, Eglington, and Harrel-Williams (2021) <https://ieeexplore.ieee.org/document/9616435>. LKT is a method to compute features of student data that are used as predictors of subsequent performance. LKT allows great flexibility in the choice of predictive components and features computed for these predictive components. The system is built on top of LiblineaR', which enables extremely fast solutions compared to base glm() in R.

r-lira 2.0.1
Dependencies: jags@4.3.1
Propagated dependencies: r-rjags@4-17 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lira
Licenses: GPL 2
Build system: r
Synopsis: LInear Regression in Astronomy
Description:

This package performs Bayesian linear regression and forecasting in astronomy. The method accounts for heteroscedastic errors in both the independent and the dependent variables, intrinsic scatters (in both variables) and scatter correlation, time evolution of slopes, normalization, scatters, Malmquist and Eddington bias, upper limits and break of linearity. The posterior distribution of the regression parameters is sampled with a Gibbs method exploiting the JAGS library.

r-ltable 2.0.4
Propagated dependencies: r-nloptr@2.2.1 r-mass@7.3-65 r-clipr@0.8.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=ltable
Licenses: GPL 2+
Build system: r
Synopsis: Easy to Make (Lazy) Tables
Description:

Constructs tables of counts and proportions out of data sets with possibility to insert tables to Excel, Word, HTML, and PDF documents. Transforms tables to data suitable for modelling. Features Gibbs sampling based log-linear (NB2) and power analyses (original by Oleksandr Ocheredko <doi:10.35566/isdsa2019c5>) for tabulated data.

r-lpint 2.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lpint
Licenses: GPL 2+
Build system: r
Synopsis: Local Polynomial Estimators of the Intensity Function and Its Derivatives
Description:

This package provides functions to estimate the intensity function and its derivative of a given order of a multiplicative counting process using the local polynomial method.

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-logbin 2.0.6
Propagated dependencies: r-turboem@2025.1 r-matrix@1.7-4 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+
Build system: r
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-lca 0.1.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://www.r-project.org
Licenses: GPL 2+
Build system: r
Synopsis: Localised Co-Dependency Analysis
Description:

This package performs model fitting and significance estimation for Localised Co-Dependency between pairs of features of a numeric dataset.

r-lbreg 1.3
Propagated dependencies: 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=lbreg
Licenses: GPL 2
Build system: r
Synopsis: Log-Binomial Regression with Constrained Optimization
Description:

Maximum likelihood estimation of log-binomial regression with special functionality when the MLE is on the boundary of the parameter space.

r-linguisticsdown 1.2.0
Propagated dependencies: r-stringr@1.6.0 r-shiny@1.11.1 r-rstudioapi@0.17.1 r-miniui@0.1.2 r-magrittr@2.0.4 r-knitr@1.50 r-dt@0.34.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://liao961120.github.io/linguisticsdown/
Licenses: FSDG-compatible
Build system: r
Synopsis: Easy Linguistics Document Writing with R Markdown
Description:

This package provides Shiny gadgets to search, type, and insert IPA symbols into documents or scripts, requiring only knowledge about phonetics or X-SAMPA'. Also provides functions to facilitate the rendering of IPA symbols in LaTeX and PDF format, making IPA symbols properly rendered in all output formats. A minimal R Markdown template for authoring Linguistics related documents is also bundled with the package. Some helper functions to facilitate authoring with R Markdown is also provided.

r-lindleypowerseries 1.0.1
Propagated dependencies: r-lamw@2.2.5
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LindleyPowerSeries
Licenses: GPL 2+
Build system: r
Synopsis: Lindley Power Series Distribution
Description:

Computes the probability density function, the cumulative distribution function, the hazard rate function, the quantile function and random generation for Lindley Power Series distributions, see Nadarajah and Si (2018) <doi:10.1007/s13171-018-0150-x>.

r-lpower 0.1.1
Propagated dependencies: r-nlme@3.1-168 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=LPower
Licenses: FSDG-compatible
Build system: r
Synopsis: Calculates Power, Sample Size, or Detectable Effect for Longitudinal Analyses
Description:

Computes power, or sample size or the detectable difference for a repeated measures model with attrition. It requires the variance covariance matrix of the observations but can compute this matrix for several common random effects models. See Diggle, P, Liang, KY and Zeger, SL (1994, ISBN:9780198522843).

r-lpdensity 2.5
Propagated dependencies: r-mass@7.3-65 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=lpdensity
Licenses: GPL 2
Build system: r
Synopsis: Local Polynomial Density Estimation and Inference
Description:

Without imposing stringent distributional assumptions or shape restrictions, nonparametric estimation has been popular in economics and other social sciences for counterfactual analysis, program evaluation, and policy recommendations. This package implements a novel density (and derivatives) estimator based on local polynomial regressions, documented in Cattaneo, Jansson and Ma (2022) <doi:10.18637/jss.v101.i02>: lpdensity() to construct local polynomial based density (and derivatives) estimator, and lpbwdensity() to perform data-driven bandwidth selection.

r-lifetablefertility 0.1.0
Propagated dependencies: r-shiny@1.11.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/almarazkrae-4081/LifeTableFertility
Licenses: Expat
Build system: r
Synopsis: 'shiny' Application for Life Table and Fertility Analysis
Description:

This package provides a shiny application to construct age-specific life tables and fertility schedules from individual female daily egg records. The application computes age-specific survival and fertility functions and estimates key demographic parameters including the net reproductive rate, mean generation time, intrinsic rate of increase, finite rate of increase and doubling time. Optional confidence intervals can be obtained using percentile bootstrap or delete-1 jackknife resampling at the female level. Methods and definitions follow Stevens (2009) <doi:10.1007/978-0-387-89882-7> and Rossini et al. (2024) <doi:10.1371/journal.pone.0299598>.

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Total results: 69112