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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-deevd 1.2.3
Propagated dependencies: r-evd@2.3-7.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://CRAN.R-project.org/package=DEEVD
Licenses: GPL 2
Build system: r
Synopsis: Density Estimation by Extreme Value Distributions
Description:

This package provides mean squared error (MSE) and plot the kernel densities related to extreme value distributions with their estimated values. By using Gumbel and Weibull Kernel. See Salha et al. (2014) <doi:10.4236/ojs.2014.48061> and Khan and Akbar (2021) <doi:10.4236/ojs.2021.112018 >.

r-dispositioneffect 1.0.1
Propagated dependencies: r-purrr@1.2.0 r-progress@1.2.3 r-magrittr@2.0.4 r-lubridate@1.9.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://marcozanotti.github.io/dispositionEffect/
Licenses: Expat
Build system: r
Synopsis: Analysis of Disposition Effect on Financial Portfolios
Description:

Evaluate the presence of disposition effect and others irrational investor's behaviors based solely on investor's transactions and financial market data. Experimental data can also be used to perform the analysis. Four different methodologies are implemented to account for the different nature of human behaviors on financial markets. Novel analyses such as portfolio driven and time series disposition effect are also allowed.

r-daewr 1.2-11
Propagated dependencies: r-stringi@1.8.7 r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=daewr
Licenses: GPL 2
Build system: r
Synopsis: Design and Analysis of Experiments with R
Description:

This package contains Data frames and functions used in the book "Design and Analysis of Experiments with R", Lawson(2015) ISBN-13:978-1-4398-6813-3.

r-diffenrich 0.1.2
Propagated dependencies: r-stringr@1.6.0 r-rlang@1.1.6 r-reshape2@1.4.5 r-here@1.0.2 r-ggplot2@4.0.1 r-ggnewscale@0.5.2 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/SabaLab/diffEnrich
Licenses: GPL 2
Build system: r
Synopsis: Given a List of Gene Symbols, Performs Differential Enrichment Analysis
Description:

Compare functional enrichment between two experimentally-derived groups of genes or proteins (Peterson, DR., et al.(2018)) <doi: 10.1371/journal.pone.0198139>. Given a list of gene symbols, diffEnrich will perform differential enrichment analysis using the Kyoto Encyclopedia of Genes and Genomes (KEGG) REST API. This package provides a number of functions that are intended to be used in a pipeline. Briefly, the user provides a KEGG formatted species id for either human, mouse or rat, and the package will download and clean species specific ENTREZ gene IDs and map them to their respective KEGG pathways by accessing KEGG's REST API. KEGG's API is used to guarantee the most up-to-date pathway data from KEGG. Next, the user will identify significantly enriched pathways from two gene sets, and finally, the user will identify pathways that are differentially enriched between the two gene sets. In addition to the analysis pipeline, this package also provides a plotting function.

r-dosearch 1.0.12
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/santikka/dosearch
Licenses: GPL 3+
Build system: r
Synopsis: Causal Effect Identification from Multiple Incomplete Data Sources
Description:

Identification of causal effects from arbitrary observational and experimental probability distributions via do-calculus and standard probability manipulations using a search-based algorithm by Tikka, Hyttinen and Karvanen (2021) <doi:10.18637/jss.v099.i05>. Allows for the presence of mechanisms related to selection bias (Bareinboim and Tian, 2015) <doi:10.1609/aaai.v29i1.9679>, transportability (Bareinboim and Pearl, 2014) <http://ftp.cs.ucla.edu/pub/stat_ser/r443.pdf>, missing data (Mohan, Pearl, and Tian, 2013) <http://ftp.cs.ucla.edu/pub/stat_ser/r410.pdf>) and arbitrary combinations of these. Also supports identification in the presence of context-specific independence (CSI) relations through labeled directed acyclic graphs (LDAG). For details on CSIs see (Corander et al., 2019) <doi:10.1016/j.apal.2019.04.004>.

r-datarium 0.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=datarium
Licenses: GPL 2
Build system: r
Synopsis: Data Bank for Statistical Analysis and Visualization
Description:

This package contains data organized by topics: categorical data, regression model, means comparisons, independent and repeated measures ANOVA, mixed ANOVA and ANCOVA.

r-decp 0.1.2
Propagated dependencies: r-rlang@1.1.6 r-purrr@1.2.0 r-matrixcalc@1.0-6 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-geigen@2.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=decp
Licenses: GPL 3
Build system: r
Synopsis: Complete Change Point Analysis
Description:

This package provides a comprehensive approach for identifying and estimating change points in multivariate time series through various statistical methods. Implements the multiple change point detection methodology from Ryan & Killick (2023) <doi:10.1080/00401706.2023.2183261> and a novel estimation methodology from Fotopoulos et al. (2023) <doi:10.1007/s00362-023-01495-0> generalized to fit the detection methodologies. Performs both detection and estimation of change points, providing visualization and summary information of the estimation process for each detected change point.

r-defit 0.3.0
Propagated dependencies: r-r6@2.6.1 r-ggplot2@4.0.1 r-desolve@1.40
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=deFit
Licenses: GPL 3+
Build system: r
Synopsis: Fitting Differential Equations to Time Series Data
Description:

Use numerical optimization to fit ordinary differential equations (ODEs) to time series data to examine the dynamic relationships between variables or the characteristics of a dynamical system. It can now be used to estimate the parameters of ODEs up to second order, and can also apply to multilevel systems. See <https://github.com/yueqinhu/defit> for details.

r-dynamite 1.6.2
Propagated dependencies: r-tibble@3.3.0 r-rstan@2.32.7 r-rlang@1.1.6 r-posterior@1.6.1 r-patchwork@1.3.2 r-loo@2.8.0 r-glue@1.8.0 r-ggplot2@4.0.1 r-ggforce@0.5.0 r-data-table@1.17.8 r-cli@3.6.5 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://docs.ropensci.org/dynamite/
Licenses: GPL 3+
Build system: r
Synopsis: Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data
Description:

Easy-to-use and efficient interface for Bayesian inference of complex panel (time series) data using dynamic multivariate panel models by Helske and Tikka (2024) <doi:10.1016/j.alcr.2024.100617>. The package supports joint modeling of multiple measurements per individual, time-varying and time-invariant effects, and a wide range of discrete and continuous distributions. Estimation of these dynamic multivariate panel models is carried out via Stan'. For an in-depth tutorial of the package, see (Tikka and Helske, 2025) <doi:10.18637/jss.v115.i05>.

r-deseats 1.1.1
Propagated dependencies: r-zoo@1.8-14 r-tidyr@1.3.1 r-shiny@1.11.1 r-rlang@1.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-purrr@1.2.0 r-progressr@0.18.0 r-ggplot2@4.0.1 r-future-apply@1.20.0 r-future@1.68.0 r-furrr@0.3.1 r-animation@2.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=deseats
Licenses: GPL 3
Build system: r
Synopsis: Data-Driven Locally Weighted Regression for Trend and Seasonality in TS
Description:

Various methods for the identification of trend and seasonal components in time series (TS) are provided. Among them is a data-driven locally weighted regression approach with automatically selected bandwidth for equidistant short-memory time series. The approach is a combination / extension of the algorithms by Feng (2013) <doi:10.1080/02664763.2012.740626> and Feng, Y., Gries, T., and Fritz, M. (2020) <doi:10.1080/10485252.2020.1759598> and a brief description of this new method is provided in the package documentation. Furthermore, the package allows its users to apply the base model of the Berlin procedure, version 4.1, as described in Speth (2004) <https://www.destatis.de/DE/Methoden/Saisonbereinigung/BV41-methodenbericht-Heft3_2004.pdf?__blob=publicationFile>. Permission to include this procedure was kindly provided by the Federal Statistical Office of Germany.

r-datareporter 1.0.5
Dependencies: coreutils@9.1 pandoc@2.19.2 git@2.52.0
Propagated dependencies: r-whoami@1.3.0 r-stringi@1.8.7 r-robustbase@0.99-6 r-rmarkdown@2.30 r-rlang@1.1.6 r-pander@0.6.6 r-magrittr@2.0.4 r-htmltools@0.5.8.1 r-haven@2.5.5 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/ekstroem/dataReporter
Licenses: GPL 2
Build system: r
Synopsis: Reproducible Data Screening Checks and Report of Possible Errors
Description:

Data screening is an important first step of any statistical analysis. dataReporter auto generates a customizable data report with a thorough summary of the checks and the results that a human can use to identify possible errors. It provides an extendable suite of test for common potential errors in a dataset. See Petersen AH, Ekstrøm CT (2019). "dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R." _Journal of Statistical Software_, *90*(6), 1-38 <doi:10.18637/jss.v090.i06> for more information.

r-deflatebr 1.1.2
Propagated dependencies: r-lubridate@1.9.4 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/meirelesff/deflatebr/
Licenses: Expat
Build system: r
Synopsis: Deflate Nominal Brazilian Reais
Description:

Simple functions to deflate nominal Brazilian Reais using several popular price indexes downloaded from the Brazilian Institute for Applied Economic Research.

r-distro 0.1.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://enpiar.com/distro/
Licenses: ASL 2.0
Build system: r
Synopsis: Linux Distribution Properties
Description:

In order to provide unified access to Linux distribution details in R, this package wraps the various files and commands that may exist on a system. It is similar in spirit to the lsb_release command and the Python package of the same name.

r-dumbbell 0.1
Propagated dependencies: r-tidyverse@2.0.0 r-tidyr@1.3.1 r-rstatix@0.7.3 r-rlang@1.1.6 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/foocheung2/dumbbell
Licenses: Expat
Build system: r
Synopsis: Displaying Changes Between Two Points Using Dumbbell Plots
Description:

This package creates a Dumbbell Plot.

r-dowser 2.4.0
Propagated dependencies: r-treeio@1.34.0 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-stringr@1.6.0 r-shazam@1.3.1 r-rlang@1.1.6 r-rcolorbrewer@1.1-3 r-phylotate@1.3 r-phangorn@2.12.1 r-markdown@2.0 r-gridextra@2.3 r-ggtree@4.0.1 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-biostrings@2.78.0 r-ape@5.8-1 r-alakazam@1.4.2 r-airr@1.5.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://dowser.readthedocs.io
Licenses: AGPL 3
Build system: r
Synopsis: B Cell Receptor Phylogenetics Toolkit
Description:

This package provides a set of functions for inferring, visualizing, and analyzing B cell phylogenetic trees. Provides methods to 1) reconstruct unmutated ancestral sequences, 2) build B cell phylogenetic trees using multiple methods, 3) visualize trees with metadata at the tips, 4) reconstruct intermediate sequences, 5) detect biased ancestor-descendant relationships among metadata types Workflow examples available at documentation site (see URL). Citations: Hoehn et al (2022) <doi:10.1371/journal.pcbi.1009885>, Hoehn et al (2021) <doi:10.1101/2021.01.06.425648>.

r-distancehd 1.2
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=distanceHD
Licenses: GPL 2+
Build system: r
Synopsis: Distance Metrics for High-Dimensional Clustering
Description:

We provide three distance metrics for measuring the separation between two clusters in high-dimensional spaces. The first metric is the centroid distance, which calculates the Euclidean distance between the centers of the two groups. The second is a ridge Mahalanobis distance, which incorporates a ridge correction constant, alpha, to ensure that the covariance matrix is invertible. The third metric is the maximal data piling distance, which computes the orthogonal distance between the affine spaces spanned by each class. These three distances are asymptotically interconnected and are applicable in tasks such as discrimination, clustering, and outlier detection in high-dimensional settings.

r-discrim 1.1.0
Propagated dependencies: r-withr@3.0.2 r-tibble@3.3.0 r-rlang@1.1.6 r-parsnip@1.3.3 r-dials@1.4.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/tidymodels/discrim
Licenses: Expat
Build system: r
Synopsis: Model Wrappers for Discriminant Analysis
Description:

Bindings for additional classification models for use with the parsnip package. Models include flavors of discriminant analysis, such as linear (Fisher (1936) <doi:10.1111/j.1469-1809.1936.tb02137.x>), regularized (Friedman (1989) <doi:10.1080/01621459.1989.10478752>), and flexible (Hastie, Tibshirani, and Buja (1994) <doi:10.1080/01621459.1994.10476866>), as well as naive Bayes classifiers (Hand and Yu (2007) <doi:10.1111/j.1751-5823.2001.tb00465.x>).

r-distrmod 2.9.7
Propagated dependencies: r-startupmsg@1.0.0 r-sfsmisc@1.1-23 r-randvar@1.2.5 r-mass@7.3-65 r-distrex@2.9.6 r-distr@2.9.7
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: http://distr.r-forge.r-project.org/
Licenses: LGPL 3
Build system: r
Synopsis: Object Oriented Implementation of Probability Models
Description:

This package implements S4 classes for probability models based on packages distr and distrEx'.

r-dggridr 3.1.1
Propagated dependencies: r-sf@1.0-23 r-s2@1.1.9 r-rcpp@1.1.0 r-collapse@2.1.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/r-barnes/dggridR/
Licenses: AGPL 3+
Build system: r
Synopsis: Discrete Global Grids
Description:

Spatial analyses involving binning require that every bin have the same area, but this is impossible using a rectangular grid laid over the Earth or over any projection of the Earth. Discrete global grids use hexagons, triangles, and diamonds to overcome this issue, overlaying the Earth with equally-sized bins. This package provides utilities for working with discrete global grids, along with utilities to aid in plotting such data.

r-distinctiveness 1.0.1
Propagated dependencies: r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/iandreafc/distinctiveness-R
Licenses: Expat
Build system: r
Synopsis: Distinctiveness Centrality
Description:

Calculates Distinctiveness Centrality in social networks. For formulas and descriptions, see Fronzetti Colladon and Naldi (2020) <doi:10.1371/journal.pone.0233276>.

r-detmcd 0.0.5
Propagated dependencies: r-robustbase@0.99-6 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-pcapp@2.0-5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DetMCD
Licenses: GPL 2+
Build system: r
Synopsis: Implementation of the DetMCD Algorithm (Robust and Deterministic Estimation of Location and Scatter)
Description:

Implementation of DetMCD, a new algorithm for robust and deterministic estimation of location and scatter. The benefits of robust and deterministic estimation are explained in Hubert, Rousseeuw and Verdonck (2012) <doi:10.1080/10618600.2012.672100>.

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-drpop 0.0.3
Propagated dependencies: r-tidyr@1.3.1 r-superlearner@2.0-29 r-stringr@1.6.0 r-reshape2@1.4.5 r-ranger@0.17.0 r-nnls@1.6 r-nnet@7.3-20 r-janitor@2.2.1 r-ggplot2@4.0.1 r-gam@1.22-6 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=drpop
Licenses: GPL 3
Build system: r
Synopsis: Efficient and Doubly Robust Population Size Estimation
Description:

Estimation of the total population size from capture-recapture data efficiently and with low bias implementing the methods from Das M, Kennedy EH, and Jewell NP (2021) <arXiv:2104.14091>. The estimator is doubly robust against errors in the estimation of the intermediate nuisance parameters. Users can choose from the flexible estimation models provided in the package, or use any other preferred model.

r-dietr 1.1.6-1
Propagated dependencies: r-rfishbase@5.0.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/sborstein/dietr
Licenses: GPL 2+
Build system: r
Synopsis: Diet Estimated Trophic Levels
Description:

Estimates fractional trophic level from quantitative and qualitative diet data and calculates electivity indices in R. Borstein (2020) <doi:10.1007/s10750-020-04417-5>.

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Total results: 68658