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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-do3pca 1.0.0
Propagated dependencies: r-rdimtools@1.1.3 r-ratematrix@1.2.5 r-phytools@2.5-2 r-nloptr@2.2.1 r-mclust@6.1.2 r-matrixcalc@1.0-6 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=do3PCA
Licenses: GPL 2+
Build system: r
Synopsis: Probabilistic Phylogenetic Principal Component Analysis
Description:

Estimates probabilistic phylogenetic Principal Component Analysis (PCA) and non-phylogenetic probabilistic PCA. Provides methods to implement alternative models of trait evolution including Brownian motion (BM), Ornstein-Uhlenbeck (OU), Early Burst (EB), and Pagel's lambda. Also provides flexible biplot functions.

r-dimensio 0.14.1
Propagated dependencies: r-khroma@1.17.0 r-arkhe@1.11.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://codeberg.org/tesselle/dimensio
Licenses: GPL 3+
Build system: r
Synopsis: Multivariate Data Analysis
Description:

Simple Principal Components Analysis (PCA) and (Multiple) Correspondence Analysis (CA) based on the Singular Value Decomposition (SVD). This package provides S4 classes and methods to compute, extract, summarize and visualize results of multivariate data analysis. It also includes methods for partial bootstrap validation described in Greenacre (1984, ISBN: 978-0-12-299050-2) and Lebart et al. (2006, ISBN: 978-2-10-049616-7).

r-describedata 0.1.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-lmtest@0.9-40 r-haven@2.5.5 r-ggplot2@4.0.1 r-forcats@1.0.1 r-dplyr@1.1.4 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/craigjmcgowan/describedata
Licenses: GPL 3
Build system: r
Synopsis: Miscellaneous Descriptive Functions
Description:

Helper functions for descriptive tasks such as making print-friendly bivariate tables, sample size flow counts, and visualizing sample distributions. Also contains R approximations of some common SAS and Stata functions such as PROC MEANS from SAS and ladder', gladder', and pwcorr from Stata'.

r-dcca 0.1.1
Propagated dependencies: r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DCCA
Licenses: GPL 3+
Build system: r
Synopsis: Detrended Fluctuation and Detrended Cross-Correlation Analysis
Description:

This package provides a collection of functions to perform Detrended Fluctuation Analysis (DFA) and Detrended Cross-Correlation Analysis (DCCA). This package implements the results presented in Prass, T.S. and Pumi, G. (2019). "On the behavior of the DFA and DCCA in trend-stationary processes" <arXiv:1910.10589>.

r-deform 1.0.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 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=deform
Licenses: GPL 3
Build system: r
Synopsis: Spatial Deformation and Dimension Expansion Gaussian Processes
Description:

This package provides methods for fitting nonstationary Gaussian process models by spatial deformation, as introduced by Sampson and Guttorp (1992) <doi:10.1080/01621459.1992.10475181>, and by dimension expansion, as introduced by Bornn et al. (2012) <doi:10.1080/01621459.2011.646919>. Low-rank thin-plate regression splines, as developed in Wood, S.N. (2003) <doi:10.1111/1467-9868.00374>, are used to either transform co-ordinates or create new latent dimensions.

r-datadriftr 1.0.0
Propagated dependencies: r-r6@2.6.1 r-fda-usc@2.2.0 r-doremi@1.0.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/ugurdar/datadriftR
Licenses: GPL 2+
Build system: r
Synopsis: Concept Drift Detection Methods for Stream Data
Description:

This package provides a system designed for detecting concept drift in streaming datasets. It offers a comprehensive suite of statistical methods to detect concept drift, including methods for monitoring changes in data distributions over time. The package supports several tests, such as Drift Detection Method (DDM), Early Drift Detection Method (EDDM), Hoeffding Drift Detection Methods (HDDM_A, HDDM_W), Kolmogorov-Smirnov test-based Windowing (KSWIN) and Page Hinkley (PH) tests. The methods implemented in this package are based on established research and have been demonstrated to be effective in real-time data analysis. For more details on the methods, please check to the following sources. KobyliŠska et al. (2023) <doi:10.48550/arXiv.2308.11446>, S. Kullback & R.A. Leibler (1951) <doi:10.1214/aoms/1177729694>, Gama et al. (2004) <doi:10.1007/978-3-540-28645-5_29>, Baena-Garcia et al. (2006) <https://www.researchgate.net/publication/245999704_Early_Drift_Detection_Method>, Frà as-Blanco et al. (2014) <https://ieeexplore.ieee.org/document/6871418>, Raab et al. (2020) <doi:10.1016/j.neucom.2019.11.111>, Page (1954) <doi:10.1093/biomet/41.1-2.100>, Montiel et al. (2018) <https://jmlr.org/papers/volume19/18-251/18-251.pdf>.

r-discretedists 1.1.2
Propagated dependencies: r-rcpp@1.1.0 r-pracma@2.4.6 r-nleqslv@3.3.5 r-gamlss-dist@6.1-1 r-gamlss@5.5-0 r-compoissonreg@0.8.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/fhernanb/DiscreteDists
Licenses: Expat
Build system: r
Synopsis: Discrete Statistical Distributions
Description:

Implementation of new discrete statistical distributions. Each distribution includes the traditional functions as well as an additional function called the family function, which can be used to estimate parameters within the gamlss framework.

r-dartr-sexlinked 1.0.5
Propagated dependencies: r-patchwork@1.3.2 r-ggplot2@4.0.1 r-foreach@1.5.2 r-doparallel@1.0.17 r-dartr-data@1.0.8 r-dartr-base@1.0.7 r-adegenet@2.1.11
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://green-striped-gecko.github.io/dartR/
Licenses: GPL 3+
Build system: r
Synopsis: Analysing SNP Data to Identify Sex-Linked Markers
Description:

Identifies, filters and exports sex linked markers using SNP (single nucleotide polymorphism) data. To install the other packages, we recommend to install the dartRverse package, that supports the installation of all packages in the dartRverse'. If you want understand the applied rational to identify sexlinked markers and/or want to cite dartR.sexlinked', you find the information by typing citation('dartR.sexlinked') in the console.

r-diffdf 1.1.2
Propagated dependencies: r-tibble@3.3.0 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://gowerc.github.io/diffdf/
Licenses: Expat
Build system: r
Synopsis: Dataframe Difference Tool
Description:

This package provides functions for comparing two data.frames against each other. The core functionality is to provide a detailed breakdown of any differences between two data.frames as well as providing utility functions to help narrow down the source of problems and differences.

r-dmtest 1.0.0
Propagated dependencies: r-matrixstats@1.5.0 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DMtest
Licenses: GPL 2+
Build system: r
Synopsis: Differential Methylation Tests (DMtest)
Description:

Several tests for differential methylation in methylation array data, including one-sided differential mean and variance test. Methods used in the package refer to Dai, J, Wang, X, Chen, H and others (2021) "Incorporating increased variability in discovering cancer methylation markers", Biostatistics, submitted.

r-dde 1.0.7
Propagated dependencies: r-ring@1.0.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/mrc-ide/dde
Licenses: Expat
Build system: r
Synopsis: Solve Delay Differential Equations
Description:

Solves ordinary and delay differential equations, where the objective function is written in either R or C. Suitable only for non-stiff equations, the solver uses a Dormand-Prince method that allows interpolation of the solution at any point. This approach is as described by Hairer, Norsett and Wanner (1993) <ISBN:3540604529>. Support is also included for iterating difference equations.

r-dbacf 0.2.8
Propagated dependencies: r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dbacf
Licenses: GPL 2+
Build system: r
Synopsis: Autocovariance Estimation via Difference-Based Methods
Description:

This package provides methods for (auto)covariance/correlation function estimation in change point regression with stationary errors circumventing the pre-estimation of the underlying signal of the observations. Generic, first-order, (m+1)-gapped, difference-based autocovariance function estimator is based on M. Levine and I. Tecuapetla-Gómez (2023) <doi:10.48550/arXiv.1905.04578>. Bias-reducing, second-order, (m+1)-gapped, difference-based estimator is based on I. Tecuapetla-Gómez and A. Munk (2017) <doi:10.1111/sjos.12256>. Robust autocovariance estimator for change point regression with autoregressive errors is based on S. Chakar et al. (2017) <doi:10.3150/15-BEJ782>. It also includes a general projection-based method for covariance matrix estimation.

r-dataonderivatives 0.4.0
Propagated dependencies: r-vetr@0.2.20 r-tibble@3.3.0 r-readr@2.1.6 r-httr2@1.2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/imanuelcostigan/dataonderivatives
Licenses: GPL 2
Build system: r
Synopsis: Easily Source Publicly Available Data on Derivatives
Description:

Post Global Financial Crisis derivatives reforms have lifted the veil off over-the-counter (OTC) derivative markets. Swap Execution Facilities (SEFs) and Swap Data Repositories (SDRs) now publish data on swaps that are traded on or reported to those facilities (respectively). This package provides you the ability to get this data from supported sources.

r-disimformixed 0.2
Propagated dependencies: r-dplyr@1.1.4 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DisimForMixed
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Calculate Dissimilarity Matrix for Dataset with Mixed Attributes
Description:

Implement the methods proposed by Ahmad & Dey (2007) <doi:10.1016/j.datak.2007.03.016> in calculating the dissimilarity matrix at the presence of mixed attributes. This Package includes functions to discretize quantitative variables, calculate conditional probability for each pair of attribute values, distance between every pair of attribute values, significance of attributes, calculate dissimilarity between each pair of objects.

r-dyspiadata 0.1.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DysPIAData
Licenses: GPL 2+
Build system: r
Synopsis: Background and Pathway Data Used in 'DysPIA'
Description:

This dataset includes Background and Pathway data used in package DysPIA'.

r-desk 1.1.2
Propagated dependencies: r-rstudioapi@0.17.1 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/OvGU-SH/desk
Licenses: GPL 3+
Build system: r
Synopsis: Didactic Econometrics Starter Kit
Description:

Written to help undergraduate as well as graduate students to get started with R for basic econometrics without the need to import specific functions and datasets from many different sources. Primarily, the package is meant to accompany the German textbook Auer, L.v., Hoffmann, S., Kranz, T. (2024, ISBN: 978-3-662-68263-0) from which the exercises cover all the topics from the textbook Auer, L.v. (2023, ISBN: 978-3-658-42699-6).

r-demodelr 2.0.1
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-ggplot2@4.0.1 r-ggally@2.4.0 r-formula-tools@1.7.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/jmzobitz/demodelr
Licenses: Expat
Build system: r
Synopsis: Simulating Differential Equations with Data
Description:

Designed to support the visualization, numerical computation, qualitative analysis, model-data fusion, and stochastic simulation for autonomous systems of differential equations. Euler and Runge-Kutta methods are implemented, along with tools to visualize the two-dimensional phaseplane. Likelihood surfaces and a simple Markov Chain Monte Carlo parameter estimator can be used for model-data fusion of differential equations and empirical models. The Euler-Maruyama method is provided for simulation of stochastic differential equations. The package was originally written for internal use to support teaching by Zobitz, and refined to support the text "Exploring modeling with data and differential equations using R" by John Zobitz (2021) <https://jmzobitz.github.io/ModelingWithR/index.html>.

r-ddplot 0.0.2
Propagated dependencies: r-r2d3@0.2.6
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/feddelegrand7/ddplot
Licenses: GPL 3+
Build system: r
Synopsis: Create D3 Based SVG Graphics
Description:

Create D3 based SVG ('Scalable Vector Graphics') graphics using a simple R API. The package aims to simplify the creation of many SVG plot types using a straightforward R API. The package relies on the r2d3 R package and the D3 JavaScript library. See <https://rstudio.github.io/r2d3/> and <https://d3js.org/> respectively.

r-depower 2026.1.30
Propagated dependencies: r-scales@1.4.0 r-rdpack@2.6.4 r-mvnfast@0.2.8 r-multidplyr@0.1.4 r-glmmtmb@1.1.13 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://brettklamer.com/work/depower/
Licenses: Expat
Build system: r
Synopsis: Power Analysis for Differential Expression Studies
Description:

This package provides a convenient framework to simulate, test, power, and visualize data for differential expression studies with lognormal or negative binomial outcomes. Supported designs are two-sample comparisons of independent or dependent outcomes. Power may be summarized in the context of controlling the per-family error rate or family-wise error rate. Negative binomial methods are described in Yu, Fernandez, and Brock (2017) <doi:10.1186/s12859-017-1648-2> and Yu, Fernandez, and Brock (2020) <doi:10.1186/s12859-020-3541-7>.

r-drumr 0.1.0
Propagated dependencies: r-stringr@1.6.0 r-audio@0.1-11
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=drumr
Licenses: GPL 3
Build system: r
Synopsis: Turn R into a Drum Machine
Description:

Includes various functions for playing drum sounds. beat() plays a drum sound from one of the six included drum kits. tempo() sets spacing between calls to beat() in bpm. Together the two functions can be used to create many different drum patterns.

r-dsp 1.2.0
Propagated dependencies: r-truncdist@1.0-2 r-stochvol@3.2.9 r-spam@2.11-1 r-rlang@1.1.6 r-rcppziggurat@0.1.8 r-rcppeigen@0.3.4.0.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-purrr@1.2.0 r-progress@1.2.3 r-pgdraw@1.1 r-msm@1.8.2 r-mgcv@1.9-4 r-mcmcpack@1.7-1 r-matrix@1.7-4 r-lifecycle@1.0.4 r-glue@1.8.0 r-fda@6.3.0 r-coda@0.19-4.1 r-bayeslogit@2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/schafert/dsp
Licenses: GPL 3+
Build system: r
Synopsis: Dynamic Shrinkage Process and Change Point Detection
Description:

This package provides efficient Markov chain Monte Carlo (MCMC) algorithms for dynamic shrinkage processes, which extend global-local shrinkage priors to the time series setting by allowing shrinkage to depend on its own past. These priors yield locally adaptive estimates, useful for time series and regression functions with irregular features. The package includes full MCMC implementations for trend filtering using dynamic shrinkage on signal differences, producing locally constant or linear fits with adaptive credible bands. Also included are models with static shrinkage and normal-inverse-Gamma priors for comparison. Additional tools cover dynamic regression with time-varying coefficients and B-spline models with shrinkage on basis differences, allowing for flexible curve-fitting with unequally spaced data. Some support for heteroscedastic errors, outlier detection, and change point estimation. Methods in this package are described in Kowal et al. (2019) <doi:10.1111/rssb.12325>, Wu et al. (2024) <doi:10.1080/07350015.2024.2362269>, Schafer and Matteson (2024) <doi:10.1080/00401706.2024.2407316>, and Cho and Matteson (2024) <doi:10.48550/arXiv.2408.11315>.

r-demokde 1.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=demoKde
Licenses: GPL 2
Build system: r
Synopsis: Kernel Density Estimation for Demonstration Purposes
Description:

Demonstration code showing how (univariate) kernel density estimates are computed, at least conceptually, and allowing users to experiment with different kernels, should they so wish. The method used follows directly the definition, but gains efficiency by replacing the observations by frequencies in a very fine grid covering the sample range. A canonical reference is B. W. Silverman, (1998) <doi: 10.1201/9781315140919>. NOTE: the density function in the stats package uses a more sophisticated method based on the fast Fourier transform and that function should be used if computational efficiency is a prime consideration.

r-dynwrap 1.2.5
Propagated dependencies: r-yaml@2.3.10 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-reshape2@1.4.5 r-readr@2.1.6 r-purrr@1.2.0 r-processx@3.8.6 r-matrix@1.7-4 r-magrittr@2.0.4 r-igraph@2.2.1 r-glue@1.8.0 r-dynutils@1.0.12 r-dynparam@1.0.2 r-dplyr@1.1.4 r-crayon@1.5.3 r-babelwhale@1.2.0 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/dynverse/dynwrap
Licenses: Expat
Build system: r
Synopsis: Representing and Inferring Single-Cell Trajectories
Description:

This package provides functionality to infer trajectories from single-cell data, represent them into a common format, and adapt them. Other biological information can also be added, such as cellular grouping, RNA velocity and annotation. Saelens et al. (2019) <doi:10.1038/s41587-019-0071-9>.

r-deltaplotr 1.6
Propagated dependencies: 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=deltaPlotR
Licenses: GPL 2+
Build system: r
Synopsis: Identification of Dichotomous Differential Item Functioning (DIF) using Angoff's Delta Plot Method
Description:

The deltaPlotR package implements Angoff's Delta Plot method to detect dichotomous DIF. Several detection thresholds are included, either from multivariate normality assumption or by prior determination. Item purification is supported (Magis and Facon (2014) <doi:10.18637/jss.v059.c01>).

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