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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-deltd 2.6.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://CRAN.R-project.org/package=DELTD
Licenses: GPL 2
Build system: r
Synopsis: Kernel Density Estimation using Lifetime Distributions
Description:

This package provides a collection of asymmetrical kernels belong to lifetime distributions for kernel density estimation is presented. Mean Squared Errors (MSE) are calculated for estimated curves. For this purpose, R functions allow the distribution to be Gamma, Exponential or Weibull. For details see Chen (2000a,b), Jin and Kawczak (2003) and Salha et al. (2014) <doi:10.12988/pms.2014.4616>.

r-dcg 0.9.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DCG
Licenses: GPL 2+
Build system: r
Synopsis: Data Cloud Geometry (DCG): Using Random Walks to Find Community Structure in Social Network Analysis
Description:

Data cloud geometry (DCG) applies random walks in finding community structures for social networks. Fushing, VanderWaal, McCowan, & Koehl (2013) (<doi:10.1371/journal.pone.0056259>).

r-douconca 1.2.4
Propagated dependencies: r-vegan@2.7-2 r-rlang@1.1.6 r-permute@0.9-8 r-gridextra@2.3 r-ggrepel@0.9.6 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://zenodo.org/records/13970152
Licenses: GPL 3
Build system: r
Synopsis: Double Constrained Correspondence Analysis for Trait-Environment Analysis in Ecology
Description:

Double constrained correspondence analysis (dc-CA) analyzes (multi-)trait (multi-)environment ecological data by using the vegan package and native R code. Throughout the two step algorithm of ter Braak et al. (2018) is used. This algorithm combines and extends community- (sample-) and species-level analyses, i.e. the usual community weighted means (CWM)-based regression analysis and the species-level analysis of species-niche centroids (SNC)-based regression analysis. The two steps use canonical correspondence analysis to regress the abundance data on to the traits and (weighted) redundancy analysis to regress the CWM of the orthonormalized traits on to the environmental predictors. The function dc_CA() has an option to divide the abundance data of a site by the site total, giving equal site weights. This division has the advantage that the multivariate analysis corresponds with an unweighted (multi-trait) community-level analysis, instead of being weighted. The first step of the algorithm uses vegan::cca(). The second step uses wrda() but vegan::rda() if the site weights are equal. This version has a predict() function. For details see ter Braak et al. 2018 <doi:10.1007/s10651-017-0395-x>. and ter Braak & van Rossum 2025 <doi:10.1016/j.ecoinf.2025.103143>.

r-digirhythm 2.4
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-tidyr@1.3.1 r-stringr@1.6.0 r-readr@2.1.6 r-pracma@2.4.6 r-magrittr@2.0.4 r-lubridate@1.9.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://nasserdr.github.io/digiRhythm/
Licenses: GPL 3
Build system: r
Synopsis: Analyzing Animal's Rhythmicity
Description:

Analyze and visualize the rhythmic behavior of animals using the degree of functional coupling (See Scheibe (1999) <doi:10.1076/brhm.30.2.216.1420>), compute and visualize harmonic power, actograms, average activity and diurnality index.

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-dendser 1.0.2
Propagated dependencies: r-seriation@1.5.8 r-gclus@1.3.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DendSer
Licenses: GPL 2
Build system: r
Synopsis: Dendrogram Seriation: Ordering for Visualisation
Description:

Re-arranges a dendrogram to optimize visualisation-based cost functions.

r-drpt 1.1
Propagated dependencies: r-rootsolve@1.8.2.4 r-rdpack@2.6.4 r-rcpp@1.1.0 r-future-apply@1.20.0 r-future@1.68.0 r-biasedurn@2.0.12
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DRPT
Licenses: Expat
Build system: r
Synopsis: Density Ratio Permutation Test
Description:

Implementation of the Density Ratio Permutation Test for testing the goodness-of-fit of a hypothesised ratio of two densities, as described in Bordino and Berrett (2025) <doi:10.48550/arXiv.2505.24529>.

r-depons2r 1.2.8
Propagated dependencies: r-xml2@1.5.0 r-terra@1.8-86 r-sp@2.2-0 r-sf@1.0-23 r-raster@3.6-32 r-jsonlite@2.0.0 r-adehabitatlt@0.3.29 r-adehabitathr@0.4.22
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DEPONS2R
Licenses: GPL 3
Build system: r
Synopsis: Read, Plot and Analyse Output from the DEPONS Model
Description:

This package provides methods for analyzing population dynamics and movement tracks simulated using the DEPONS model <https://www.depons.eu> (v.3.0), for manipulating input raster files, shipping routes and for analyzing sound propagated from ships.

r-dfer 1.0.1
Propagated dependencies: r-withr@3.0.2 r-usethis@3.2.1 r-tidyselect@1.2.1 r-rlang@1.1.6 r-renv@1.1.5 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-emoji@16.0.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://dfe-analytical-services.github.io/dfeR/
Licenses: GPL 3+
Build system: r
Synopsis: Common Department for Education Analysis Tasks
Description:

Preferred methods for common analytical tasks that are undertaken across the Department, including number formatting, project templates and curated reference data.

r-daff 1.1.1
Propagated dependencies: r-v8@8.0.1 r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/edwindj/daff
Licenses: Expat
Build system: r
Synopsis: Diff, Patch and Merge for Data.frames
Description:

Diff, patch and merge for data frames. Document changes in data sets and use them to apply patches. Changes to data can be made visible by using render_diff(). The V8 package is used to wrap the daff.js JavaScript library which is included in the package.

r-dstat 1.0.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dstat
Licenses: GPL 2
Build system: r
Synopsis: Conditional Sensitivity Analysis for Matched Observational Studies
Description:

This package provides a d-statistic tests the null hypothesis of no treatment effect in a matched, nonrandomized study of the effects caused by treatments. A d-statistic focuses on subsets of matched pairs that demonstrate insensitivity to unmeasured bias in such an observational study, correcting for double-use of the data by conditional inference. This conditional inference can, in favorable circumstances, substantially increase the power of a sensitivity analysis (Rosenbaum (2010) <doi:10.1007/978-1-4419-1213-8_14>). There are two examples, one concerning unemployment from Lalive et al. (2006) <doi:10.1111/j.1467-937X.2006.00406.x>, the other concerning smoking and periodontal disease from Rosenbaum (2017) <doi:10.1214/17-STS621>.

r-datoramar 0.1.0
Propagated dependencies: r-tibble@3.3.0 r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/beigebrucewayne/datoramar
Licenses: Expat
Build system: r
Synopsis: Interface to the 'Datorama' API
Description:

This package provides a thin wrapper around the Datorama API. Ideal for analyzing marketing data from <https://datorama.com>.

r-dogoftest 0.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=Dogoftest
Licenses: Expat
Build system: r
Synopsis: Distributed Online Goodness-of-Fit Tests for Distributed Datasets
Description:

Distributed Online Goodness-of-Fit Test can process the distributed datasets. The philosophy of the package is described in Guo G.(2024) <doi:10.1016/j.apm.2024.115709>.

r-dialrjars 9.0.21
Dependencies: openjdk@25
Propagated dependencies: r-rjava@1.0-11
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/socialresearchcentre/dialrjars
Licenses: GPL 3+
Build system: r
Synopsis: Required 'libphonenumber' jars for the 'dialr' Package
Description:

Collects libphonenumber jars required for the dialr package.

r-dimodels 1.3.3
Propagated dependencies: r-rootsolve@1.8.2.4 r-multcompview@0.1-10 r-multcomp@1.4-29 r-hnp@1.2-7 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://dimodels.com/
Licenses: GPL 2+
Build system: r
Synopsis: Diversity-Interactions (DI) Models
Description:

The DImodels package is suitable for analysing data from biodiversity and ecosystem function studies using the Diversity-Interactions (DI) modelling approach introduced by Kirwan et al. (2009) <doi:10.1890/08-1684.1>. Suitable data will contain proportions for each species and a community-level response variable, and may also include additional factors, such as blocks or treatments. The package can perform data manipulation tasks, such as computing pairwise interactions (the DI_data() function), can perform an automated model selection process (the autoDI() function) and has the flexibility to fit a wide range of user-defined DI models (the DI() function).

r-densityarea 0.1.1
Propagated dependencies: r-vctrs@0.6.5 r-tibble@3.3.0 r-sfheaders@0.4.5 r-sf@1.0-23 r-rlang@1.1.6 r-purrr@1.2.0 r-isoband@0.2.7 r-ggdensity@1.0.0 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/JoFrhwld/densityarea
Licenses: GPL 3+
Build system: r
Synopsis: Polygons of Bivariate Density Distributions
Description:

With bivariate data, it is possible to calculate 2-dimensional kernel density estimates that return polygons at given levels of probability. densityarea returns these polygons for analysis, including for calculating their area.

r-desirability2 0.2.0
Propagated dependencies: r-tibble@3.3.0 r-s7@0.2.1 r-rlang@1.1.6 r-purrr@1.2.0 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://desirability2.tidymodels.org
Licenses: Expat
Build system: r
Synopsis: Desirability Functions for Multiparameter Optimization
Description:

In-line functions for multivariate optimization via desirability functions (Derringer and Suich, 1980, <doi:10.1080/00224065.1980.11980968>) with easy use within dplyr pipelines.

r-dataprep 0.1.5
Propagated dependencies: r-zoo@1.8-14 r-scales@1.4.0 r-reshape2@1.4.5 r-ggplot2@4.0.1 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dataprep
Licenses: GPL 2+
Build system: r
Synopsis: Efficient and Flexible Data Preprocessing Tools
Description:

Efficiently and flexibly preprocess data using a set of data filtering, deletion, and interpolation tools. These data preprocessing methods are developed based on the principles of completeness, accuracy, threshold method, and linear interpolation and through the setting of constraint conditions, time completion & recovery, and fast & efficient calculation and grouping. Key preprocessing steps include deletions of variables and observations, outlier removal, and missing values (NA) interpolation, which are dependent on the incomplete and dispersed degrees of raw data. They clean data more accurately, keep more samples, and add no outliers after interpolation, compared with ordinary methods. Auto-identification of consecutive NA via run-length based grouping is used in observation deletion, outlier removal, and NA interpolation; thus, new outliers are not generated in interpolation. Conditional extremum is proposed to realize point-by-point weighed outlier removal that saves non-outliers from being removed. Plus, time series interpolation with values to refer to within short periods further ensures reliable interpolation. These methods are based on and improved from the reference: Liang, C.-S., Wu, H., Li, H.-Y., Zhang, Q., Li, Z. & He, K.-B. (2020) <doi:10.1016/j.scitotenv.2020.140923>.

r-doestrare 0.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DoEstRare
Licenses: GPL 2+
Build system: r
Synopsis: Rare Variant Association Test Based on Position Density Estimation
Description:

Rare variant association test integrating variant position information. It aims to identify the presence of clusters of disease-risk variants in specific gene regions. For more details, please read the publication from Persyn et al. (2017) <doi:10.1371/journal.pone.0179364>.

r-deltatest 0.1.0
Propagated dependencies: r-rlang@1.1.6 r-r6@2.6.1 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/hoxo-m/deltatest
Licenses: Expat
Build system: r
Synopsis: Statistical Hypothesis Testing Using the Delta Method
Description:

Statistical hypothesis testing using the Delta method as proposed by Deng et al. (2018) <doi:10.1145/3219819.3219919>. This method replaces the standard variance estimation formula in the Z-test with an approximate formula derived via the Delta method, which can account for within-user correlation.

r-datasetsicr 1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=datasetsICR
Licenses: GPL 2+
Build system: r
Synopsis: Datasets from the Book "An Introduction to Clustering with R"
Description:

Companion to the book "An Introduction to Clustering with R" by P. Giordani, M.B. Ferraro and F. Martella (Springer, Singapore, 2020). The datasets are used in some case studies throughout the text.

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-dotwhisker 0.8.4
Propagated dependencies: r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-performance@0.15.2 r-patchwork@1.3.2 r-parameters@0.28.3 r-marginaleffects@0.31.0 r-gtable@0.3.6 r-gridextra@2.3 r-ggstance@0.3.7 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://fsolt.org/dotwhisker/
Licenses: Expat
Build system: r
Synopsis: Dot-and-Whisker Plots of Regression Results
Description:

Create quick and easy dot-and-whisker plots of regression results. It takes as input either (1) a coefficient table in standard form or (2) one (or a list of) fitted model objects (of any type that has methods implemented in the parameters package). It returns ggplot objects that can be further customized using tools from the ggplot2 package. The package also includes helper functions for tasks such as rescaling coefficients or relabeling predictor variables. See more methodological discussion of the visualization and data management methods used in this package in Kastellec and Leoni (2007) <doi:10.1017/S1537592707072209> and Gelman (2008) <doi:10.1002/sim.3107>.

r-dtts 0.1.3
Propagated dependencies: r-rcppdate@0.0.6 r-rcppcctz@0.2.13 r-rcpp@1.1.0 r-nanotime@0.3.12 r-data-table@1.17.8 r-bit64@4.6.0-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dtts
Licenses: GPL 2+
Build system: r
Synopsis: 'data.table' Time-Series
Description:

High-frequency time-series support via nanotime and data.table'.

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Total results: 68658