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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-lbm 0.9.0.2
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lbm
Licenses: GPL 2+
Synopsis: Log Binomial Regression Model in Exact Method
Description:

Fit the log binomial regression model (LBM) by Exact method. Limited parameter space of LBM causes trouble to find admissible estimates and fail to converge when MLE is close to or on the boundary of space. Exact method utilizes the property of boundary vectors to re-parametrize the model without losing any information, and fits the model on the standard fitting algorithm with no convergence issues.

r-lmfor 1.7
Propagated dependencies: r-spatstat-geom@3.6-1 r-spatstat@3.4-1 r-nlme@3.1-168 r-matrix@1.7-4 r-mass@7.3-65 r-magic@1.6-1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lmfor
Licenses: GPL 2
Synopsis: Functions for Forest Biometrics
Description:

This package provides functions for different purposes related to forest biometrics, including illustrative graphics, numerical computation, modeling height-diameter relationships, prediction of tree volumes, modelling of diameter distributions and estimation off stand density using ITD. Several empirical datasets are also included.

r-lst 2.0.0
Propagated dependencies: r-terra@1.8-86
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LST
Licenses: AGPL 3
Synopsis: Land Surface Temperature Retrieval for Landsat 8
Description:

Calculates Land Surface Temperature from Landsat band 10 and 11. Revision of the Single-Channel Algorithm for Land Surface Temperature Retrieval From Landsat Thermal-Infrared Data. Jimenez-Munoz JC, Cristobal J, Sobrino JA, et al (2009). <doi: 10.1109/TGRS.2008.2007125>. Land surface temperature retrieval from LANDSAT TM 5. Sobrino JA, Jiménez-Muñoz JC, Paolini L (2004). <doi:10.1016/j.rse.2004.02.003>. Surface temperature estimation in Singhbhum Shear Zone of India using Landsat-7 ETM+ thermal infrared data. Srivastava PK, Majumdar TJ, Bhattacharya AK (2009). <doi: 10.1016/j.asr.2009.01.023>. Mapping land surface emissivity from NDVI: Application to European, African, and South American areas. Valor E (1996). <doi:10.1016/0034-4257(96)00039-9>. On the relationship between thermal emissivity and the normalized difference vegetation index for natural surfaces. Van de Griend AA, Owe M (1993). <doi:10.1080/01431169308904400>. Land Surface Temperature Retrieval from Landsat 8 TIRSâ Comparison between Radiative Transfer Equation-Based Method, Split Window Algorithm and Single Channel Method. Yu X, Guo X, Wu Z (2014). <doi:10.3390/rs6109829>. Calibration and Validation of land surface temperature for Landsat8-TIRS sensor. Land product validation and evolution. SkokoviÄ D, Sobrino JA, Jimenez-Munoz JC, Soria G, Julien Y, Mattar C, Cristóbal J. (2014).

r-libdeflate 1.24-7
Dependencies: cmake@4.1.3
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=libdeflate
Licenses: Expat
Synopsis: DEFLATE Compression and Static Library
Description:

Whole-buffer DEFLATE-based compression and decompression of raw vectors using the libdeflate library (see <https://github.com/ebiggers/libdeflate>). Provides the user with additional control over the speed and the quality of DEFLATE compression compared to the fixed level of compression offered in R's memCompress() function. Also provides the libdeflate static library and C headers along with a CMake target and packageâ config file that ease linking of libdeflate in packages that compile and statically link bundled libraries using CMake'.

r-lmtestrob 0.1
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=lmtestrob
Licenses: GPL 2
Synopsis: Outlier Robust Specification Testing
Description:

Robust test(s) for model diagnostics in regression. The current version contains a robust test for functional specification (linearity). The test is based on the robust bounded-influence test by Heritier and Ronchetti (1994) <doi:10.1080/01621459.1994.10476822>.

r-longrpart2 0.2.3
Propagated dependencies: r-rpart@4.1.24 r-nlme@3.1-168 r-mass@7.3-65 r-ggplot2@4.0.1 r-formula-tools@1.7.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=longRPart2
Licenses: GPL 2+ GPL 3+
Synopsis: Recursive Partitioning of Longitudinal Data
Description:

This package performs recursive partitioning of linear and nonlinear mixed effects models, specifically for longitudinal data. The package is an extension of the original longRPart package by Stewart and Abdolell (2013) <https://cran.r-project.org/package=longRPart>.

r-l1ball 0.1.0
Propagated dependencies: r-vgam@1.1-13
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=l1ball
Licenses: GPL 2+
Synopsis: L1-Ball Prior for Sparse Regression
Description:

This package provides function for the l1-ball prior on high-dimensional regression. The main function, l1ball(), yields posterior samples for linear regression, as introduced by Xu and Duan (2020) <arXiv:2006.01340>.

r-lnirt 0.5.1
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=LNIRT
Licenses: GPL 3
Synopsis: LogNormal Response Time Item Response Theory Models
Description:

Allows the simultaneous analysis of responses and response times in an Item Response Theory (IRT) modelling framework. Supports variable person speed functions (intercept, trend, quadratic), and covariates for item and person (random) parameters. Data missing-by-design can be specified. Parameter estimation is done with a MCMC algorithm. LNIRT replaces the package CIRT, which was written by Rinke Klein Entink. For reference, see the paper by Fox, Klein Entink and Van der Linden (2007), "Modeling of Responses and Response Times with the Package cirt", Journal of Statistical Software, <doi:10.18637/jss.v020.i07>.

r-lifttest 0.2.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LiftTest
Licenses: GPL 3+
Synopsis: Bootstrap Proportion Test for Brand Lift Testing
Description:

This package provides a bootstrap proportion test for Brand Lift Testing to quantify the effectiveness of online advertising. Methods of the bootstrap proportion test are presented in Liu, Yu, Mao, Wu, Dyer (2023) <doi:10.1145/3583780.3615021>.

r-lorenzregression 2.3.0
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
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-lgewis 1.1
Propagated dependencies: r-skat@2.2.5 r-mvtnorm@1.3-3 r-geem@0.10.1 r-compquadform@1.4.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=LGEWIS
Licenses: GPL 3
Synopsis: Tests for Genetic Association/Gene-Environment Interaction in Longitudinal Studies
Description:

This package provides functions for genome-wide association studies (GWAS)/gene-environment-wide interaction studies (GEWIS) with longitudinal outcomes and exposures. He et al. (2017) "Set-Based Tests for Gene-Environment Interaction in Longitudinal Studies" and He et al. (2017) "Rare-variant association tests in longitudinal studies, with an application to the Multi-Ethnic Study of Atherosclerosis (MESA)".

r-lacm 0.1.2
Propagated dependencies: r-statmod@1.5.1 r-numderiv@2016.8-1.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cran.r-project.org/package=lacm
Licenses: GPL 2+
Synopsis: Latent Autoregressive Count Models
Description:

Perform pairwise likelihood inference in latent autoregressive count models. See Pedeli and Varin (2020) for details.

r-l0ara 0.1.6
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=l0ara
Licenses: GPL 2
Synopsis: Sparse Generalized Linear Model with L0 Approximation for Feature Selection
Description:

An efficient procedure for feature selection for generalized linear models with L0 penalty, including linear, logistic, Poisson, gamma, inverse Gaussian regression. Adaptive ridge algorithms are used to fit the models.

r-lightsf 0.1.0
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/roming20/lightsf
Licenses: GPL 3
Synopsis: Curated Collection of Georeferenced and Spatial Datasets
Description:

This package provides a diverse collection of georeferenced and spatial datasets from different domains including urban studies, housing markets, environmental monitoring, transportation, and socio-economic indicators. The package consolidates datasets from multiple open sources such as Kaggle, chopin, spData, adespatial, and bivariateLeaflet. It is designed for researchers, analysts, and educators interested in spatial analysis, geostatistics, and geographic data visualization. The datasets include point patterns, polygons, socio-economic data frames, and network-like structures, allowing flexible exploration of geospatial phenomena.

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+
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-longmixr 1.0.0
Propagated dependencies: r-statmatch@1.4.3 r-flexmix@2.3-20 r-consensusclusterplus@1.74.0 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://cellmapslab.github.io/longmixr/
Licenses: GPL 2+
Synopsis: Longitudinal Consensus Clustering with 'flexmix'
Description:

An adaption of the consensus clustering approach from ConsensusClusterPlus for longitudinal data. The longitudinal data is clustered with flexible mixture models from flexmix', while the consensus matrices are hierarchically clustered as in ConsensusClusterPlus'. By using the flexibility from flexmix and FactoMineR', one can use mixed data types for the clustering.

r-localiv 0.3.1
Propagated dependencies: r-sampleselection@1.2-12 r-rlang@1.1.6 r-mgcv@1.9-4 r-kernsmooth@2.23-26
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/xiangzhou09/localIV
Licenses: GPL 3+
Synopsis: Estimation of Marginal Treatment Effects using Local Instrumental Variables
Description:

In the generalized Roy model, the marginal treatment effect (MTE) can be used as a building block for constructing conventional causal parameters such as the average treatment effect (ATE) and the average treatment effect on the treated (ATT). Given a treatment selection equation and an outcome equation, the function mte() estimates the MTE via the semiparametric local instrumental variables method or the normal selection model. The function mte_at() evaluates MTE at different values of the latent resistance u with a given X = x, and the function mte_tilde_at() evaluates MTE projected onto the estimated propensity score. The function ace() estimates population-level average causal effects such as ATE, ATT, or the marginal policy relevant treatment effect.

r-libr 1.3.9
Propagated dependencies: r-tibble@3.3.0 r-readxl@1.4.5 r-readr@2.1.6 r-rcpp@1.1.0 r-openxlsx@4.2.8.1 r-haven@2.5.5 r-dplyr@1.1.4 r-data-table@1.17.8 r-crayon@1.5.3 r-common@1.1.4
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://libr.r-sassy.org
Licenses: CC0
Synopsis: Libraries, Data Dictionaries, and a Data Step for R
Description:

This package contains a set of functions to create data libraries, generate data dictionaries, and simulate a data step. The libname() function will load a directory of data into a library in one line of code. The dictionary() function will generate data dictionaries for individual data frames or an entire library. And the datestep() function will perform row-by-row data processing.

r-limorhyde 1.0.1
Propagated dependencies: r-pbs@1.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://limorhyde.hugheylab.org
Licenses: GPL 2
Synopsis: Differential Analysis of Rhythmic Transcriptome Data
Description:

This package provides a flexible approach, inspired by cosinor regression, for differential analysis of rhythmic transcriptome data. See Singer and Hughey (2018) <doi:10.1177/0748730418813785>.

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+
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-lrd 0.1.0
Propagated dependencies: r-knitr@1.50
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://npm27.github.io/lrd/
Licenses: LGPL 3
Synopsis: Package for Processing Lexical Response Data
Description:

Lexical response data is a package that can be used for processing cued-recall, free-recall, and sentence responses from memory experiments.

r-ldats 0.3.0
Dependencies: gsl@2.8
Propagated dependencies: r-viridis@0.6.5 r-topicmodels@0.2-17 r-progress@1.2.3 r-nnet@7.3-20 r-mvtnorm@1.3-3 r-memoise@2.0.1 r-magrittr@2.0.4 r-lubridate@1.9.4 r-extradistr@1.10.0 r-digest@0.6.39 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://weecology.github.io/LDATS/
Licenses: Expat
Synopsis: Latent Dirichlet Allocation Coupled with Time Series Analyses
Description:

Combines Latent Dirichlet Allocation (LDA) and Bayesian multinomial time series methods in a two-stage analysis to quantify dynamics in high-dimensional temporal data. LDA decomposes multivariate data into lower-dimension latent groupings, whose relative proportions are modeled using generalized Bayesian time series models that include abrupt changepoints and smooth dynamics. The methods are described in Blei et al. (2003) <doi:10.1162/jmlr.2003.3.4-5.993>, Western and Kleykamp (2004) <doi:10.1093/pan/mph023>, Venables and Ripley (2002, ISBN-13:978-0387954578), and Christensen et al. (2018) <doi:10.1002/ecy.2373>.

r-lavaan-mi 0.1-0
Propagated dependencies: r-lavaan@0.6-20
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/TDJorgensen/lavaan.mi
Licenses: GPL 2+
Synopsis: Fit Structural Equation Models to Multiply Imputed Data
Description:

The primary purpose of lavaan.mi is to extend the functionality of the R package lavaan', which implements structural equation modeling (SEM). When incomplete data have been multiply imputed, the imputed data sets can be analyzed by lavaan using complete-data estimation methods, but results must be pooled across imputations (Rubin, 1987, <doi:10.1002/9780470316696>). The lavaan.mi package automates the pooling of point and standard-error estimates, as well as a variety of test statistics, using a familiar interface that allows users to fit an SEM to multiple imputations as they would to a single data set using the lavaan package.

r-lterpalettefinder 1.1.0
Propagated dependencies: r-tiff@0.1-12 r-tidyr@1.3.1 r-png@0.1-8 r-magrittr@2.0.4 r-magick@2.9.0 r-jpeg@0.1-11 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=lterpalettefinder
Licenses: Modified BSD
Synopsis: Extract Color Palettes from Photos and Pick Official LTER Palettes
Description:

Allows identification of palettes derived from LTER (Long Term Ecological Research) photographs based on user criteria. Also facilitates extraction of palettes from users photos directly.

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