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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-daghmm 0.1.1
Propagated dependencies: r-prroc@1.4 r-matrixstats@1.5.0 r-gtools@3.9.5 r-future@1.68.0 r-bnlearn@5.1 r-bnclassify@0.4.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dagHMM
Licenses: FSDG-compatible
Build system: r
Synopsis: Directed Acyclic Graph HMM with TAN Structured Emissions
Description:

Hidden Markov models (HMMs) are a formal foundation for making probabilistic models of linear sequence. They provide a conceptual toolkit for building complex models just by drawing an intuitive picture. They are at the heart of a diverse range of programs, including genefinding, profile searches, multiple sequence alignment and regulatory site identification. HMMs are the Legos of computational sequence analysis. In graph theory, a tree is an undirected graph in which any two vertices are connected by exactly one path, or equivalently a connected acyclic undirected graph. Tree represents the nodes connected by edges. It is a non-linear data structure. A poly-tree is simply a directed acyclic graph whose underlying undirected graph is a tree. The model proposed in this package is the same as an HMM but where the states are linked via a polytree structure rather than a simple path.

r-disdat 1.0-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=disdat
Licenses: GPL 3+
Build system: r
Synopsis: Data for Comparing Species Distribution Modeling Methods
Description:

Easy access to species distribution data for 6 regions in the world, for a total of 226 anonymised species. These data are described and made available by Elith et al (2020) <doi:10.17161/bi.v15i2.13384> to compare species distribution modelling methods.

r-dci 1.0.3
Propagated dependencies: r-units@1.0-0 r-tidyselect@1.2.1 r-tidygraph@1.3.1 r-sfnetworks@0.6.5 r-sf@1.0-23 r-rlang@1.1.6 r-magrittr@2.0.4 r-igraph@2.2.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/aarkilanian/dci
Licenses: Expat
Build system: r
Synopsis: Calculate the Dendritic Connectivity Index in River Networks
Description:

Calculate and analyze ecological connectivity across the watercourse of river networks using the Dendritic Connectivity Index.

r-dacc 0.0-7
Propagated dependencies: r-sp@2.2-0 r-pracma@2.4.6 r-ncdf4@1.24 r-mass@7.3-65 r-magrittr@2.0.4 r-janitor@2.2.1 r-iso@0.0-21 r-cftime@1.7.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/LiYanStat/dacc
Licenses: GPL 3+
Build system: r
Synopsis: Detection and Attribution Analysis of Climate Change
Description:

Detection and attribution of climate change using methods including optimal fingerprinting via generalized total least squares or an estimating equation approach (Li et al., 2025, <doi:10.1175/JCLI-D-24-0193.1>; Ma et al., 2023, <doi:10.1175/JCLI-D-22-0681.1>). Provides shrinkage estimators for the covariance matrix following Ledoit and Wolf (2004, <doi:10.1016/S0047-259X(03)00096-4>) and Ledoit and Wolf (2017, <doi:10.2139/ssrn.2383361>).

r-dpseg 0.1.1
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://gitlab.com/raim/dpseg/
Licenses: GPL 2+
Build system: r
Synopsis: Piecewise Linear Segmentation by Dynamic Programming
Description:

Piecewise linear segmentation of ordered data by a dynamic programming algorithm. The algorithm was developed for time series data, e.g. growth curves, and for genome-wide read-count data from next generation sequencing, but is broadly applicable. Generic implementations of dynamic programming routines allow to scan for optimal segmentation parameters and test custom segmentation criteria ("scoring functions").

r-direct 1.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DIRECT
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Clustering of Multivariate Data Under the Dirichlet-Process Prior
Description:

This package provides a Bayesian clustering method for replicated time series or replicated measurements from multiple experimental conditions, e.g., time-course gene expression data. It estimates the number of clusters directly from the data using a Dirichlet-process prior. See Fu, A. Q., Russell, S., Bray, S. and Tavare, S. (2013) Bayesian clustering of replicated time-course gene expression data with weak signals. The Annals of Applied Statistics. 7(3) 1334-1361. <doi:10.1214/13-AOAS650>.

r-dtpcrm 0.1.1
Propagated dependencies: r-diagram@1.6.5 r-dfcrm@0.2-2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dtpcrm
Licenses: GPL 2+
Build system: r
Synopsis: Dose Transition Pathways for Continual Reassessment Method
Description:

This package provides the dose transition pathways (DTP) to project in advance the doses recommended by a model-based design for subsequent patients (stay, escalate, deescalate or stop early) using all the accumulated toxicity information; See Yap et al (2017) <doi: 10.1158/1078-0432.CCR-17-0582>. DTP can be used as a design and an operational tool and can be displayed as a table or flow diagram. The dtpcrm package also provides the modified continual reassessment method (CRM) and time-to-event CRM (TITE-CRM) with added practical considerations to allow stopping early when there is sufficient evidence that the lowest dose is too toxic and/or there is a sufficient number of patients dosed at the maximum tolerated dose.

r-datetime 0.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=datetime
Licenses: GPL 3
Build system: r
Synopsis: Nominal Dates, Times, and Durations
Description:

This package provides methods for working with nominal dates, times, and durations. Base R has sophisticated facilities for handling time, but these can give unexpected results if, for example, timezone is not handled properly. This package provides a more casual approach to support cases which do not require rigorous treatment. It systematically deconstructs the concepts origin and timezone, and de-emphasizes the display of seconds. It also converts among nominal durations such as seconds, hours, days, and weeks. See ?datetime and ?duration for examples. Adapted from metrumrg <http://r-forge.r-project.org/R/?group_id=1215>.

r-ditwahlandslide 1.2.0
Propagated dependencies: r-stringr@1.6.0 r-shiny@1.11.1 r-plotly@4.11.0 r-lubridate@1.9.4 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://cran.r-project.org/package=ditwahLandslide
Licenses: GPL 3+
Build system: r
Synopsis: Early Warning Information on Landslides in Sri Lanka During the Ditwah Storm
Description:

This package provides curated early warning data on landslides in Sri Lanka during the Ditwah storm. It includes structured, machine-readable tidy dataset. This is developed for education and research purposes.

r-decorater 0.1.2
Propagated dependencies: r-rwekajars@3.9.3-2 r-rweka@0.4-47 r-rjava@1.0-11
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DecorateR
Licenses: GPL 2+
Build system: r
Synopsis: Fit and Deploy DECORATE Trees
Description:

DECORATE (Diverse Ensemble Creation by Oppositional Relabeling of Artificial Training Examples) builds an ensemble of J48 trees by recursively adding artificial samples of the training data ("Melville, P., & Mooney, R. J. (2005) <DOI:10.1016/j.inffus.2004.04.001>").

r-distrteach 2.9.2
Propagated dependencies: r-startupmsg@1.0.0 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: Extensions of Package 'distr' for Teaching Stochastics/Statistics in Secondary School
Description:

This package provides flexible examples of LLN and CLT for teaching purposes in secondary school.

r-dirmr 0.5.0
Propagated dependencies: r-mvtnorm@1.3-3 r-mass@7.3-65 r-lava@1.8.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DIRMR
Licenses: GPL 2
Build system: r
Synopsis: Distributed Imputation for Random Effects Models with Missing Responses
Description:

By adding over-relaxation factor to PXEM (Parameter Expanded Expectation Maximization) method, the MOPXEM (Monotonically Overrelaxed Parameter Expanded Expectation Maximization) method is obtained. Compare it with the existing EM (Expectation-Maximization)-like methods. Then, distribute and process five methods and compare them, achieving good performance in convergence speed and result quality.The philosophy of the package is described in Guo G. (2022) <doi:10.1007/s00180-022-01270-z>.

r-datavisualizations 1.4.0
Propagated dependencies: r-sp@2.2-0 r-reshape2@1.4.5 r-rcppparallel@5.1.11-1 r-rcpp@1.1.0 r-pracma@2.4.6 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://www.deepbionics.org/
Licenses: GPL 3
Build system: r
Synopsis: Visualizations of High-Dimensional Data
Description:

Gives access to data visualisation methods that are relevant from the data scientist's point of view. The flagship idea of DataVisualizations is the mirrored density plot (MD-plot) for either classified or non-classified multivariate data published in Thrun, M.C. et al.: "Analyzing the Fine Structure of Distributions" (2020), PLoS ONE, <DOI:10.1371/journal.pone.0238835>. The MD-plot outperforms the box-and-whisker diagram (box plot), violin plot and bean plot and geom_violin plot of ggplot2. Furthermore, a collection of various visualization methods for univariate data is provided. In the case of exploratory data analysis, DataVisualizations makes it possible to inspect the distribution of each feature of a dataset visually through a combination of four methods. One of these methods is the Pareto density estimation (PDE) of the probability density function (pdf). Additionally, visualizations of the distribution of distances using PDE, the scatter-density plot using PDE for two variables as well as the Shepard density plot and the Bland-Altman plot are presented here. Pertaining to classified high-dimensional data, a number of visualizations are described, such as f.ex. the heat map and silhouette plot. A political map of the world or Germany can be visualized with the additional information defined by a classification of countries or regions. By extending the political map further, an uncomplicated function for a Choropleth map can be used which is useful for measurements across a geographic area. For categorical features, the Pie charts, slope charts and fan plots, improved by the ABC analysis, become usable. More detailed explanations are found in the book by Thrun, M.C.: "Projection-Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9>.

r-drgee 1.1.10-4
Propagated dependencies: r-survival@3.8-3 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-nleqslv@3.3.5 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=drgee
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Doubly Robust Generalized Estimating Equations
Description:

Estimates the conditional association between an exposure and an outcome given covariates. Three methods are implemented: O-estimation, where a nuisance model for the association between the covariates and the outcome is used; E-estimation where a nuisance model for the association between the covariates and the exposure is used, and doubly robust (DR) estimation where both nuisance models are used. In DR-estimation, the estimates will be consistent when at least one of the nuisance models is correctly specified, not necessarily both. For more information, see Zetterqvist and Sjölander (2015) <doi:10.1515/em-2014-0021>.

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-diflasso 1.0-5
Propagated dependencies: r-penalized@0.9-53 r-misctools@0.6-28 r-grplasso@0.4-7
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DIFlasso
Licenses: GPL 2
Build system: r
Synopsis: Penalty Approach to Differential Item Functioning in Rasch Models
Description:

This package performs DIFlasso as proposed by Tutz and Schauberger (2015) <doi:10.1007/s11336-013-9377-6>, a method to detect DIF (Differential Item Functioning) in Rasch Models. It can handle settings with many variables and also metric variables.

r-dishet 1.0.0
Propagated dependencies: r-matrixstats@1.5.0 r-gtools@3.9.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DisHet
Licenses: GPL 2
Build system: r
Synopsis: Estimate the Gene Expression Levels and Component Proportions of the Normal, Stroma (Immune) and Tumor Components of Bulk Tumor Samples
Description:

Model cell type heterogeneity of bulk renal cell carcinoma. The observed gene expression in bulk tumor sample is modeled by a log-normal distribution with the location parameter structured as a linear combination of the component-specific gene expressions.

r-duckplyr 1.2.0
Propagated dependencies: r-vctrs@0.6.5 r-tidyselect@1.2.1 r-tibble@3.3.0 r-rlang@1.1.6 r-pillar@1.11.1 r-memoise@2.0.1 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-glue@1.8.0 r-duckdb@1.4.2 r-dplyr@1.1.4 r-dbi@1.2.3 r-collections@0.3.9 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://duckplyr.tidyverse.org
Licenses: Expat
Build system: r
Synopsis: 'DuckDB'-Backed Version of 'dplyr'
Description:

This package provides a drop-in replacement for dplyr', powered by DuckDB for performance. Offers convenient utilities for working with in-memory and larger-than-memory data while retaining full dplyr compatibility.

r-demulticoder 0.1.2
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-readr@2.1.6 r-purrr@1.2.0 r-ggplot2@4.0.1 r-furrr@0.3.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://grunwaldlab.github.io/demulticoder/
Licenses: Expat
Build system: r
Synopsis: Simultaneous Analysis of Multiplexed Metabarcodes
Description:

This package provides a comprehensive set of wrapper functions for the analysis of multiplex metabarcode data. It includes robust wrappers for Cutadapt and DADA2 to trim primers, filter reads, perform amplicon sequence variant (ASV) inference, and assign taxonomy. The package can handle single metabarcode datasets, datasets with two pooled metabarcodes, or multiple datasets simultaneously. The final output is a matrix per metabarcode, containing both ASV abundance data and associated taxonomic assignments. An optional function converts these matrices into phyloseq and taxmap objects. For more information on DADA2', including information on how DADA2 infers samples sequences, see Callahan et al. (2016) <doi:10.1038/nmeth.3869>. For more details on the demulticoder R package see Sudermann et al. (2025) <doi:10.1094/PHYTO-02-25-0043-FI>.

r-disasteralert 1.0.0
Propagated dependencies: r-wordcloud@2.6 r-tidyverse@2.0.0 r-tidytext@0.4.3 r-tidyr@1.3.1 r-textdata@0.4.5 r-stringr@1.6.0 r-scales@1.4.0 r-rcolorbrewer@1.1-3 r-quanteda@4.3.1 r-plotly@4.11.0 r-leaflet@2.2.3 r-htmlwidgets@1.6.4 r-ggplot2@4.0.1 r-dt@0.34.0 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=DisasterAlert
Licenses: GPL 3
Build system: r
Synopsis: Disaster Alert and Sentiment Analysis
Description:

By systematically aggregating and processing textual reports from earthquakes, floods, storms, wildfires, and other natural disasters, the framework enables a holistic assessment of crisis narratives. Intelligent cleaning and normalization techniques transform raw commentary into structured data, ensuring precise extraction of disaster-specific insights. Collective sentiments of affected communities are quantitatively scored and qualitatively categorized, providing a multifaceted view of societal responses under duress. Interactive geographic maps and temporal charts illustrate the evolution and spatial dispersion of emotional reactions and impact indicators.

r-diagmeta 0.5-1
Propagated dependencies: r-meta@8.2-1 r-lme4@1.1-37
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/guido-s/diagmeta
Licenses: GPL 2+
Build system: r
Synopsis: Meta-Analysis of Diagnostic Accuracy Studies with Several Cutpoints
Description:

This package provides methods by Steinhauser et al. (2016) <DOI:10.1186/s12874-016-0196-1> for meta-analysis of diagnostic accuracy studies with several cutpoints.

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-dssd 1.0.3
Propagated dependencies: r-sf@1.0-23 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dssd
Licenses: GPL 2+
Build system: r
Synopsis: Distance Sampling Survey Design
Description:

This package creates survey designs for distance sampling surveys. These designs can be assessed for various effort and coverage statistics. Once the user is satisfied with the design characteristics they can generate a set of transects to use in their distance sampling survey. Many of the designs implemented in this R package were first made available in our Distance for Windows software and are detailed in Chapter 7 of Advanced Distance Sampling, Buckland et. al. (2008, ISBN-13: 978-0199225873). Find out more about estimating animal/plant abundance with distance sampling at <https://distancesampling.org/>.

r-dendrometer 1.1.1
Propagated dependencies: r-zoo@1.8-14 r-pspline@1.0-21 r-forecast@8.24.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/smiljanicm/dendrometeR
Licenses: GPL 2+
Build system: r
Synopsis: Analyzing Dendrometer Data
Description:

Various functions to import, verify, process and plot high-resolution dendrometer data using daily and stem-cycle approaches as described in Deslauriers et al, 2007 <doi:10.1016/j.dendro.2007.05.003>. For more details about the package please see: Van der Maaten et al. 2016 <doi:10.1016/j.dendro.2016.06.001>.

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