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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-doypacolors 0.0.2
Propagated dependencies: r-gridextra@2.3 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/jmestret/DOYPAColors
Licenses: Expat
Build system: r
Synopsis: Don't Overthink Your Palette of Colors
Description:

Access diverse ggplot2'-compatible color palettes for simplified data visualization.

r-drip 2.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://miamioh.edu/fsb/directory/?up=/directory/kangy10
Licenses: GPL 2+
Build system: r
Synopsis: Discontinuous Regression and Image Processing
Description:

This package provides a collection of functions that perform jump regression and image analysis such as denoising, deblurring and jump detection. The implemented methods are based on the following research: Qiu, P. (1998) <doi:10.1214/aos/1024691468>, Qiu, P. and Yandell, B. (1997) <doi: 10.1080/10618600.1997.10474746>, Qiu, P. (2009) <doi: 10.1007/s10463-007-0166-9>, Kang, Y. and Qiu, P. (2014) <doi: 10.1080/00401706.2013.844732>, Qiu, P. and Kang, Y. (2015) <doi: 10.5705/ss.2014.054>, Kang, Y., Mukherjee, P.S. and Qiu, P. (2018) <doi: 10.1080/00401706.2017.1415975>, Kang, Y. (2020) <doi: 10.1080/10618600.2019.1665536>.

r-difm 1.0.1
Propagated dependencies: r-spdep@1.4-1 r-sp@2.2-0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-laplacesdemon@16.1.6 r-gridextra@2.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DIFM
Licenses: GPL 2+
Build system: r
Synopsis: Dynamic ICAR Spatiotemporal Factor Models
Description:

Bayesian factor models are effective tools for dimension reduction. This is especially applicable to multivariate large-scale datasets. It allows researchers to understand the latent factors of the data which are the linear or non-linear combination of the variables. Dynamic Intrinsic Conditional Autocorrelative Priors (ICAR) Spatiotemporal Factor Models DIFM package provides function to run Markov Chain Monte Carlo (MCMC), evaluation methods and visual plots from Shin and Ferreira (2023)<doi:10.1016/j.spasta.2023.100763>. Our method is a class of Bayesian factor model which can account for spatial and temporal correlations. By incorporating these correlations, the model can capture specific behaviors and provide predictions.

r-didec 1.1.0
Propagated dependencies: r-rlang@1.1.6 r-rann@2.6.2 r-phylogram@2.1.0 r-pcapp@2.0-5 r-gtools@3.9.5 r-ggplot2@4.0.1 r-foci@0.1.3 r-dendextend@1.19.1 r-cowplot@1.2.0 r-copbasic@2.2.11
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=didec
Licenses: Expat
Build system: r
Synopsis: Directed Dependence Coefficient
Description:

Directed Dependence Coefficient (didec) is a measure of functional dependence. Multivariate Feature Ordering by Conditional Independence (MFOCI) is a variable selection algorithm based on didec. Hierarchical Variable Clustering (VarClustPartition) is a variable clustering method based on didec. For more information, see the paper by Ansari and Fuchs (2025, <doi:10.48550/arXiv.2212.01621>), and the paper by Fuchs and Wang (2024, <doi:10.1016/j.ijar.2024.109185>).

r-dsbayes 2023.1.0
Propagated dependencies: r-bb@2019.10-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DSBayes
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Subgroup Analysis in Clinical Trials
Description:

Calculate posterior modes and credible intervals of parameters of the Dixon-Simon model for subgroup analysis (with binary covariates) in clinical trials. For details of the methodology, please refer to D.O. Dixon and R. Simon (1991), Biometrics, 47: 871-881.

r-disordr 0.9-8-5
Propagated dependencies: r-matrix@1.7-4 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/RobinHankin/disordR
Licenses: GPL 2+
Build system: r
Synopsis: Non-Ordered Vectors
Description:

Functionality for manipulating values of associative maps. The package is a dependency for mvp-type packages that use the STL map class: it traps plausible idiom that is ill-defined (implementation-specific) and returns an informative error, rather than returning a possibly incorrect result. To cite the package in publications please use Hankin (2022) <doi:10.48550/ARXIV.2210.03856>.

r-drdrtest 0.1
Propagated dependencies: r-superlearner@2.0-29 r-kernsmooth@2.23-26
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DRDRtest
Licenses: GPL 3+
Build system: r
Synopsis: Nonparametric Doubly Robust Test for Continuous Treatment Effect
Description:

Implement the statistical test proposed in Weng et al. (2021) to test whether the average treatment effect curve is constant and whether a discrete covariate is a significant effect modifier.

r-decision 0.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=decision
Licenses: GPL 2+
Build system: r
Synopsis: Statistical Decision Analysis
Description:

This package contains a function called dmur() which accepts four parameters like possible values, probabilities of the values, selling cost and preparation cost. The dmur() function generates various numeric decision parameters like MEMV (Maximum (optimum) expected monitory value), best choice, EPPI (Expected profit with perfect information), EVPI (Expected value of the perfect information), EOL (Expected opportunity loss), which facilitate effective decision-making.

r-dagirlite 0.1.0
Propagated dependencies: r-rdpack@2.6.4 r-knitr@1.50
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dagirlite
Licenses: Expat
Build system: r
Synopsis: Spatial Vector Data for Danmarks Administrative Geografiske Inddeling DAGI
Description:

Compressed spatial vector data originally from <https://dawadocs.dataforsyningen.dk/> saved as Simple Features, SF, objects with data on population, age and gender from Statistics Denmark <https://www.dst.dk/da/>.

r-depth-plot 0.1
Propagated dependencies: r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=depth.plot
Licenses: GPL 2
Build system: r
Synopsis: Multivariate Analogy of Quantiles
Description:

Could be used to obtain spatial depths, spatial ranks and outliers of multivariate random variables. Could also be used to visualize DD-plots (a multivariate generalization of QQ-plots).

r-drsurvcrt 0.0.1
Propagated dependencies: r-survival@3.8-3 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pracma@2.4.6 r-ggplot2@4.0.1 r-frailtyem@1.0.1 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DRsurvCRT
Licenses: Expat
Build system: r
Synopsis: Doubly-Robust Estimation for Survival Outcomes in Cluster-Randomized Trials
Description:

Cluster-randomized trials (CRTs) assign treatment to groups rather than individuals, so valid analyses must distinguish cluster-level and individual-level effects and define estimands within a potential-outcomes framework. This package supports right-censored survival outcomes for both single-state (binary) and multi-state settings. For single-state outcomes, it provides estimands based on stage-specific survival contrasts (SPCE) and restricted mean survival time (RMST). For multi-state outcomes, it provides SPCE as well as a generalized win-based restricted mean time-in-favor estimand (RMT-IF). The package implements doubly robust estimators that accommodate covariate-dependent censoring and remain consistent if either the outcome model or the censoring model is correctly specified. Users can choose marginal Cox or gamma-frailty Cox working models for nuisance estimation, and inference is supported via leave-one-cluster-out jackknife variance and confidence interval estimation. Methods are described in Fang et al. (2025) "Estimands and doubly robust estimation for cluster-randomized trials with survival outcomes" <doi:10.48550/arXiv.2510.08438>.

r-dos2 0.5.2
Propagated dependencies: r-senstrat@1.0.3 r-sensitivitymv@1.4.4 r-sensitivitymult@1.0.2 r-sensitivity2x2xk@1.01 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=DOS2
Licenses: GPL 2
Build system: r
Synopsis: Design of Observational Studies, Companion to the Second Edition
Description:

This package contains data sets, examples and software from the Second Edition of "Design of Observational Studies"; see Rosenbaum, P.R. (2010) <doi:10.1007/978-1-4419-1213-8>.

r-dwreg 3.0
Propagated dependencies: r-survival@3.8-3 r-maxlik@1.5-2.1 r-ecdat@0.4.7 r-discreteweibull@1.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DWreg
Licenses: GPL 3
Build system: r
Synopsis: Parametric Regression for Discrete Response
Description:

Regression for a discrete response, where the conditional distribution is modelled via a discrete Weibull distribution.

r-dibble 0.3.2
Propagated dependencies: r-vctrs@0.6.5 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-pillar@1.11.1 r-memoise@2.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/UchidaMizuki/dibble
Licenses: Expat
Build system: r
Synopsis: Dimensional Data Frames
Description:

This package provides a dibble that implements data cubes (derived from dimensional tibble'), and allows broadcasting by dimensional names.

r-dbmodelselect 0.2.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/shkoeneman/DBModelSelect
Licenses: GPL 3
Build system: r
Synopsis: Distribution-Based Model Selection
Description:

Perform model selection using distribution and probability-based methods, including standardized AIC, BIC, and AICc. These standardized information criteria allow one to perform model selection in a way similar to the prevalent "Rule of 2" method, but formalize the method to rely on probability theory. A novel goodness-of-fit procedure for assessing linear regression models is also available. This test relies on theoretical properties of the estimated error variance for a normal linear regression model, and employs a bootstrap procedure to assess the null hypothesis that the fitted model shows no lack of fit. For more information, see Koeneman and Cavanaugh (2023) <arXiv:2309.10614>. Functionality to perform all subsets linear or generalized linear regression is also available.

r-diffpriv 0.4.2
Propagated dependencies: r-gsl@2.1-9
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/brubinstein/diffpriv
Licenses: Expat
Build system: r
Synopsis: Easy Differential Privacy
Description:

An implementation of major general-purpose mechanisms for privatizing statistics, models, and machine learners, within the framework of differential privacy of Dwork et al. (2006) <doi:10.1007/11681878_14>. Example mechanisms include the Laplace mechanism for releasing numeric aggregates, and the exponential mechanism for releasing set elements. A sensitivity sampler (Rubinstein & Alda, 2017) <arXiv:1706.02562> permits sampling target non-private function sensitivity; combined with the generic mechanisms, it permits turn-key privatization of arbitrary programs.

r-diffcorr 0.4.5
Propagated dependencies: r-pcamethods@2.2.0 r-multtest@2.66.0 r-igraph@2.2.1 r-fdrtool@1.2.18
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DiffCorr
Licenses: GPL 3
Build system: r
Synopsis: Analyzing and Visualizing Differential Correlation Networks in Biological Data
Description:

This package provides a method for identifying pattern changes between 2 experimental conditions in correlation networks (e.g., gene co-expression networks), which builds on a commonly used association measure, such as Pearson's correlation coefficient. This package includes functions to calculate correlation matrices for high-dimensional dataset and to test differential correlation, which means the changes in the correlation relationship among variables (e.g., genes and metabolites) between 2 experimental conditions.

r-drawr 1.0.3
Propagated dependencies: r-rocr@1.0-11 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=DRaWR
Licenses: GPL 2
Build system: r
Synopsis: Discriminative Random Walk with Restart
Description:

We present DRaWR, a network-based method for ranking genes or properties related to a given gene set. Such related genes or properties are identified from among the nodes of a large, heterogeneous network of biological information. Our method involves a random walk with restarts, performed on an initial network with multiple node and edge types, preserving more of the original, specific property information than current methods that operate on homogeneous networks. In this first stage of our algorithm, we find the properties that are the most relevant to the given gene set and extract a subnetwork of the original network, comprising only the relevant properties. We then rerank genes by their similarity to the given gene set, based on a second random walk with restarts, performed on the above subnetwork.

r-duckdbfs 0.1.2
Propagated dependencies: r-glue@1.8.0 r-fs@1.6.6 r-duckdb@1.4.2 r-dplyr@1.1.4 r-dbplyr@2.5.1 r-dbi@1.2.3
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-degross 0.9.0
Propagated dependencies: r-cubicbsplines@1.0.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=degross
Licenses: GPL 3
Build system: r
Synopsis: Density Estimation from GROuped Summary Statistics
Description:

Estimation of a density from grouped (tabulated) summary statistics evaluated in each of the big bins (or classes) partitioning the support of the variable. These statistics include class frequencies and central moments of order one up to four. The log-density is modelled using a linear combination of penalised B-splines. The multinomial log-likelihood involving the frequencies adds up to a roughness penalty based on the differences in the coefficients of neighbouring B-splines and the log of a root-n approximation of the sampling density of the observed vector of central moments in each class. The so-obtained penalized log-likelihood is maximized using the EM algorithm to get an estimate of the spline parameters and, consequently, of the variable density and related quantities such as quantiles, see Lambert, P. (2021) <arXiv:2107.03883> for details.

r-dynnom 5.1
Propagated dependencies: r-survival@3.8-3 r-stargazer@5.2.3 r-shiny@1.11.1 r-rms@8.1-0 r-plotly@4.11.0 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-compare@0.2-6 r-broom@1.0.10 r-bbmisc@1.13
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DynNom
Licenses: GPL 2
Build system: r
Synopsis: Visualising Statistical Models using Dynamic Nomograms
Description:

Demonstrate the results of a statistical model object as a dynamic nomogram in an RStudio panel or web browser. The package provides two generics functions: DynNom, which display statistical model objects as a dynamic nomogram; DNbuilder, which builds required scripts to publish a dynamic nomogram on a web server such as the <https://www.shinyapps.io/>. Current version of DynNom supports stats::lm, stats::glm, survival::coxph, rms::ols, rms::Glm, rms::lrm, rms::cph, and mgcv::gam model objects.

r-dtangle 2.0.9
Propagated dependencies: r-deoptimr@1.1-4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dtangle
Licenses: GPL 3
Build system: r
Synopsis: Cell Type Deconvolution from Gene Expressions
Description:

Deconvolving cell types from high-throughput gene profiling data. For more information on dtangle see Hunt et al. (2019) <doi:10.1093/bioinformatics/bty926>.

r-dspline 1.0.3
Propagated dependencies: r-rlang@1.1.6 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/glmgen/dspline
Licenses: Expat
Build system: r
Synopsis: Tools for Computations with Discrete Splines
Description:

Discrete splines are a class of univariate piecewise polynomial functions which are analogous to splines, but whose smoothness is defined via divided differences rather than derivatives. Tools for efficient computations relating to discrete splines are provided here. These tools include discrete differentiation and integration, various matrix computations with discrete derivative or discrete spline bases matrices, and interpolation within discrete spline spaces. These techniques are described in Tibshirani (2020) <doi:10.48550/arXiv.2003.03886>.

r-dverse 0.2.0
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-glue@1.8.0 r-dplyr@1.1.4 r-curl@7.0.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/maurolepore/dverse
Licenses: Expat
Build system: r
Synopsis: Document a Universe of Packages
Description:

This package creates a data frame containing the metadata associated with the documentation of a collection of R packages. It allows for linking topic names to their corresponding documentation online. If you maintain a universe meta-package, it helps create a comprehensive reference for its website.

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