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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 search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-detectruns 0.9.6
Propagated dependencies: r-reshape2@1.4.5 r-rcpp@1.1.1-1.1 r-plyr@1.8.9 r-itertools@0.1-3 r-iterators@1.0.14 r-gridextra@2.3 r-ggplot2@4.0.3 r-data-table@1.18.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/bioinformatics-ptp/detectRUNS/tree/master/detectRUNS
Licenses: GPL 3
Build system: r
Synopsis: Detect Runs of Homozygosity and Runs of Heterozygosity in Diploid Genomes
Description:

Detection of runs of homozygosity and of heterozygosity in diploid genomes using two methods: sliding windows (Purcell et al (2007) <doi:10.1086/519795>) and consecutive runs (Marras et al (2015) <doi:10.1111/age.12259>).

r-des 1.0.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DES
Licenses: Expat
Build system: r
Synopsis: Discrete Event Simulation
Description:

Discrete event simulation (DES) involves modeling of systems having discrete, i.e. abrupt, state changes. For instance, when a job arrives to a queue, the queue length abruptly increases by 1. This package is an R implementation of the event-oriented approach to DES; see the tutorial in Matloff (2008) <http://heather.cs.ucdavis.edu/~matloff/156/PLN/DESimIntro.pdf>.

r-dynr 0.1.16-114
Dependencies: gsl@2.8
Propagated dependencies: r-xtable@1.8-8 r-tibble@3.3.1 r-stringi@1.8.7 r-reshape2@1.4.5 r-rdpack@2.6.6 r-plyr@1.8.9 r-numderiv@2016.8-1.1 r-mice@3.19.0 r-matrix@1.7-5 r-mass@7.3-65 r-magrittr@2.0.5 r-latex2exp@0.9.8 r-ggplot2@4.0.3 r-fda@6.3.0 r-desolve@1.42 r-car@3.1-5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://dynrr.github.io/
Licenses: GPL 3
Build system: r
Synopsis: Dynamic Models with Regime-Switching
Description:

Intensive longitudinal data have become increasingly prevalent in various scientific disciplines. Many such data sets are noisy, multivariate, and multi-subject in nature. The change functions may also be continuous, or continuous but interspersed with periods of discontinuities (i.e., showing regime switches). The package dynr (Dynamic Modeling in R) is an R package that implements a set of computationally efficient algorithms for handling a broad class of linear and nonlinear discrete- and continuous-time models with regime-switching properties under the constraint of linear Gaussian measurement functions. The discrete-time models can generally take on the form of a state-space or difference equation model. The continuous-time models are generally expressed as a set of ordinary or stochastic differential equations. All estimation and computations are performed in C, but users are provided with the option to specify the model of interest via a set of simple and easy-to-learn model specification functions in R. Model fitting can be performed using single-subject time series data or multiple-subject longitudinal data. Ou, Hunter, & Chow (2019) <doi:10.32614%2FRJ-2019-012> provided a detailed introduction to the interface and more information on the algorithms.

r-databaseconnectorjars 1.1.0
Propagated dependencies: r-rjava@1.0-18
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/OHDSI/DatabaseConnectorJars
Licenses: FSDG-compatible
Build system: r
Synopsis: JAR Dependencies for the 'DatabaseConnector' Package
Description:

This package provides external JAR dependencies for the DatabaseConnector package.

r-descsuppr 1.2
Propagated dependencies: r-tibble@3.3.1 r-rlang@1.2.0 r-rankfd@0.1.1 r-purrr@1.2.2 r-plyr@1.8.9 r-nparcomp@3.0 r-glue@1.8.1 r-foreach@1.5.2 r-dplyr@1.2.1 r-descutils@1.0 r-desctools@0.99.60 r-circular@0.5-2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=descsuppR
Licenses: GPL 3
Build system: r
Synopsis: Support Functions for (Reproducible) Descriptive Statistics
Description:

This package contains functions to help with generating tables with descriptive statistics. In addition, the package can display results of statistical tests for group comparisons. A wide range of test procedures is supported, and user-defined test functions can be incorporated.

r-datamojo 1.0.0
Propagated dependencies: r-data-table@1.18.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dataMojo
Licenses: Expat
Build system: r
Synopsis: Reshape Data Table
Description:

This package provides a grammar of data manipulation with data.table', providing a consistent a series of utility functions that help you solve the most common data manipulation challenges.

r-dark 0.9.9
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/emkayoh/Dark
Licenses: GPL 3
Build system: r
Synopsis: The Analysis of Dark Adaptation Data
Description:

The recovery of visual sensitivity in a dark environment is known as dark adaptation. In a clinical or research setting the recovery is typically measured after a dazzling flash of light and can be described by the Mahroo, Lamb and Pugh (MLP) model of dark adaptation. The functions in this package take dark adaptation data and use nonlinear regression to find the parameters of the model that best describe the data. They do this by firstly, generating rapid initial objective estimates of data adaptation parameters, then a multi-start algorithm is used to reduce the possibility of a local minimum. There is also a bootstrap method to calculate parameter confidence intervals. The functions rely upon a dark list or object. This object is created as the first step in the workflow and parts of the object are updated as it is processed.

r-dlmtool 6.0.7
Propagated dependencies: r-rcpp@1.1.1-1.1 r-msetool@3.7.5 r-ggplot2@4.0.3 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DLMtool
Licenses: GPL 3
Build system: r
Synopsis: Data-Limited Methods Toolkit
Description:

This package provides a collection of data-limited management procedures that can be evaluated with management strategy evaluation with the MSEtool package, or applied to fishery data to provide management recommendations.

r-datacommons 0.1.1
Propagated dependencies: r-lifecycle@1.0.5 r-jsonlite@2.0.0 r-httr2@1.2.2 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/tidy-intelligence/r-datacommons
Licenses: Expat
Build system: r
Synopsis: Client for the 'Google Data Commons API V2'
Description:

Access the Google Data Commons API V2 <https://docs.datacommons.org/api/rest/v2/>. Data Commons provides programmatic access to statistical and demographic data from dozens of sources organized in a knowledge graph.

r-distributionsrd 0.0.6
Propagated dependencies: r-rdpack@2.6.6 r-modeltools@0.2-24 r-flexmix@2.3-20
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=distributionsrd
Licenses: GPL 3
Build system: r
Synopsis: Distribution Fitting and Evaluation
Description:

This package provides a library of density, distribution function, quantile function, (bounded) raw moments and random generation for a collection of distributions relevant for the firm size literature. Additionally, the package contains tools to fit these distributions using maximum likelihood and evaluate these distributions based on (i) log-likelihood ratio and (ii) deviations between the empirical and parametrically implied moments of the distributions. We add flexibility by allowing the considered distributions to be combined into piecewise composite or finite mixture distributions, as well as to be used when truncated. See Dewitte (2020) <https://hdl.handle.net/1854/LU-8644700> for a description and application of methods available in this package.

r-dglmextpois 0.2.4
Propagated dependencies: r-nloptr@2.2.1 r-compoissonreg@0.8.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/franciscomartinezdelrio/DGLMExtPois
Licenses: GPL 2
Build system: r
Synopsis: Double Generalized Linear Models Extending Poisson Regression
Description:

Model estimation, dispersion testing and diagnosis of hyper-Poisson Saez-Castillo, A.J. and Conde-Sanchez, A. (2013) <doi:10.1016/j.csda.2012.12.009> and Conway-Maxwell-Poisson Huang, A. (2017) regression models.

r-dti 1.5.4.3
Dependencies: gsl@2.8
Propagated dependencies: r-rgl@1.3.36 r-quadprog@1.5-8 r-oro-nifti@0.11.4 r-oro-dicom@0.5.3 r-gsl@2.1-9 r-awsmethods@1.1-1 r-aws@2.5-6 r-adimpro@0.9.7.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://www.wias-berlin.de/research/ats/imaging/
Licenses: GPL 2+
Build system: r
Synopsis: Analysis of Diffusion Weighted Imaging (DWI) Data
Description:

Diffusion Weighted Imaging (DWI) is a Magnetic Resonance Imaging modality, that measures diffusion of water in tissues like the human brain. The package contains R-functions to process diffusion-weighted data. The functionality includes diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), modeling for high angular resolution diffusion weighted imaging (HARDI) using Q-ball-reconstruction and tensor mixture models, several methods for structural adaptive smoothing including POAS and msPOAS, and a streamline fiber tracking for tensor and tensor mixture models. The package provides functionality to manipulate and visualize results in 2D and 3D.

r-domino 0.3.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: http://www.dominodatalab.com
Licenses: Expat
Build system: r
Synopsis: R Console Bindings for the 'Domino Command-Line Client'
Description:

This package provides a wrapper on top of the Domino Command-Line Client'. It lets you run Domino commands (e.g., "run", "upload", "download") directly from your R environment. Under the hood, it uses R's system function to run the Domino executable, which must be installed as a prerequisite. Domino is a service that makes it easy to run your code on scalable hardware, with integrated version control and collaboration features designed for analytical workflows (see <http://www.dominodatalab.com> for more information).

r-denseflmm 0.1.3
Propagated dependencies: r-mvtnorm@1.3-7 r-mgcv@1.9-4 r-matrix@1.7-5 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=denseFLMM
Licenses: GPL 2
Build system: r
Synopsis: Functional Linear Mixed Models for Densely Sampled Data
Description:

Estimation of functional linear mixed models for densely sampled data based on functional principal component analysis.

r-dycdtools 0.4.4
Propagated dependencies: r-tidyr@1.3.2 r-rcolorbrewer@1.1-3 r-r-utils@2.13.0 r-ncdf4@1.24 r-lubridate@1.9.5 r-ggplot2@4.0.3 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/SongyanYu/dycdtools
Licenses: Expat
Build system: r
Synopsis: Calibration Assistant and Post-Processing Tool for Aquatic Ecosystem Model DYRESM-CAEDYM
Description:

Dynamic Reservoir Simulation Model (DYRESM) and Computational Aquatic Ecosystem Dynamics Model (CAEDYM) model development, including assisting with calibrating selected model parameters and visualising model output through time series plot, profile plot, contour plot, and scatter plot. For more details, see Yu et al. (2023) <https://journal.r-project.org/articles/RJ-2023-008/>.

r-drugprepr 0.0.7
Propagated dependencies: r-tidyr@1.3.2 r-stringr@1.6.0 r-sqldf@0.4-12 r-rlang@1.2.0 r-purrr@1.2.2 r-dplyr@1.2.1 r-doseminer@0.2.1 r-desctools@0.99.60
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/belayb/drugprepr
Licenses: Expat
Build system: r
Synopsis: Prepare Electronic Prescription Record Data to Estimate Drug Exposure
Description:

Prepare prescription data (such as from the Clinical Practice Research Datalink) into an analysis-ready format, with start and stop dates for each patient's prescriptions. Based on Pye et al (2018) <doi:10.1002/pds.4440>.

r-dirstats 0.1.10
Propagated dependencies: r-rotasym@1.3.1 r-movmf@0.2-11
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/egarpor/DirStats
Licenses: GPL 3
Build system: r
Synopsis: Nonparametric Methods for Directional Data
Description:

Nonparametric kernel density estimation, bandwidth selection, and other utilities for analyzing directional data. Implements the estimator in Bai, Rao and Zhao (1987) <doi:10.1016/0047-259X(88)90113-3>, the cross-validation bandwidth selectors in Hall, Watson and Cabrera (1987) <doi:10.1093/biomet/74.4.751> and the plug-in bandwidth selectors in Garcà a-Portugués (2013) <doi:10.1214/13-ejs821>.

r-dictionary 0.1.1
Propagated dependencies: r-tibble@3.3.1 r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/stevecondylios/dictionaRy
Licenses: Expat
Build system: r
Synopsis: Retrieve the Dictionary Definitions of English Words
Description:

An R interface to the Free Dictionary API <https://dictionaryapi.dev/>, <https://github.com/meetDeveloper/freeDictionaryAPI>. Retrieve dictionary definitions for English words, as well as additional information including phonetics, part of speech, origins, audio pronunciation, example usage, synonyms and antonyms, returned in tidy format for ease of use.

r-dfr 0.1.6
Propagated dependencies: r-sgs@0.3.9 r-matrix@1.7-5 r-mass@7.3-65 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/ff1201/dfr
Licenses: GPL 3+
Build system: r
Synopsis: Dual Feature Reduction for SGL
Description:

Implementation of the Dual Feature Reduction (DFR) approach for the Sparse Group Lasso (SGL) and the Adaptive Sparse Group Lasso (aSGL) (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.17094>). The DFR approach is a feature reduction approach that applies strong screening to reduce the feature space before optimisation, leading to speed-up improvements for fitting SGL (Simon et al. (2013) <doi:10.1080/10618600.2012.681250>) and aSGL (Mendez-Civieta et al. (2020) <doi:10.1007/s11634-020-00413-8> and Poignard (2020) <doi:10.1007/s10463-018-0692-7>) models. DFR is implemented using the Adaptive Three Operator Splitting (ATOS) (Pedregosa and Gidel (2018) <doi:10.48550/arXiv.1804.02339>) algorithm, with linear and logistic SGL models supported, both of which can be fit using k-fold cross-validation. Dense and sparse input matrices are supported.

r-decomposedpsf 0.2
Propagated dependencies: r-tseries@0.10-61 r-rlibeemd@1.4.4 r-psf@0.5 r-forecast@9.0.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://www.neerajbokde.in/software/
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Time Series Prediction with PSF and Decomposition Methods (EMD and EEMD)
Description:

Predict future values with hybrid combinations of Pattern Sequence based Forecasting (PSF), Autoregressive Integrated Moving Average (ARIMA), Empirical Mode Decomposition (EMD) and Ensemble Empirical Mode Decomposition (EEMD) methods based hybrid methods.

r-duckdbfs 0.1.2
Propagated dependencies: r-glue@1.8.1 r-fs@2.1.0 r-duckdb@1.5.2 r-dplyr@1.2.1 r-dbplyr@2.5.2 r-dbi@1.3.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/cboettig/duckdbfs
Licenses: Expat
Build system: r
Synopsis: High Performance Remote File System, Database and 'Geospatial' Access Using 'duckdb'
Description:

This package provides friendly wrappers for creating duckdb'-backed connections to tabular datasets ('csv', parquet, etc) on local or remote file systems. This mimics the behaviour of "open_dataset" in the arrow package, but in addition to S3 file system also generalizes to any list of http URLs.

r-dtrkernsmooth 1.1.0
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.1-1.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DTRKernSmooth
Licenses: GPL 2+
Build system: r
Synopsis: Estimate and Make Inference About Optimal Treatment Regimes via Smoothed Methods
Description:

This package provides methods to estimate the optimal treatment regime among all linear regimes via smoothed estimation methods, and construct element-wise confidence intervals for the optimal linear treatment regime vector, as well as the confidence interval for the optimal value via wild bootstrap procedures, if the population follows treatments recommended by the optimal linear regime. See more details in: Wu, Y. and Wang, L. (2021), "Resampling-based Confidence Intervals for Model-free Robust Inference on Optimal Treatment Regimes", Biometrics, 77: 465â 476, <doi:10.1111/biom.13337>.

r-ducklake 0.6.0
Propagated dependencies: r-duckdb@1.5.2 r-dplyr@1.2.1 r-dbplyr@2.5.2 r-dbi@1.3.0 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://tgerke.github.io/ducklake-r/
Licenses: Expat
Build system: r
Synopsis: Interact with 'DuckLake' from R
Description:

This package provides a tidyverse'-friendly interface to DuckLake <https://ducklake.select/>, the DuckDB lakehouse format. Attach versioned data lakes from R and work with them using familiar dplyr verbs, with support for ACID transactions, time travel queries, snapshot audit trails, data inlining, encrypted storage, multiple catalog backends ('DuckDB', PostgreSQL', SQLite', MySQL'), and remote access over the Quack protocol from DuckDB'.

r-depthproc 2.1.6
Propagated dependencies: r-zoo@1.8-15 r-sm@2.2-6.0 r-rrcov@1.7-7 r-rcpparmadillo@15.2.6-1 r-rcpp@1.1.1-1.1 r-np@0.70-2 r-mass@7.3-65 r-lattice@0.22-9 r-ggplot2@4.0.3 r-geometry@0.5.2 r-colorspace@2.1-2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://www.depthproc.zstat.pl/
Licenses: GPL 2
Build system: r
Synopsis: Statistical Depth Functions for Multivariate Analysis
Description:

Data depth concept offers a variety of powerful and user friendly tools for robust exploration and inference for multivariate data. The offered techniques may be successfully used in cases of lack of our knowledge on parametric models generating data due to their nature. The package consist of among others implementations of several data depth techniques involving multivariate quantile-quantile plots, multivariate scatter estimators, multivariate Wilcoxon tests and robust regressions.

Total packages: 73954