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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-desirability 2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/topepo/desirability
Licenses: GPL 2
Build system: r
Synopsis: Function Optimization and Ranking via Desirability Functions
Description:

S3 classes for multivariate optimization using the desirability function by Derringer and Suich (1980).

r-diagonals 6.4.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://qua.st/diagonals
Licenses: GPL 3
Build system: r
Synopsis: Block Diagonal Extraction or Replacement
Description:

Several tools for handling block-matrix diagonals and similar constructs are implemented. Block-diagonal matrices can be extracted or removed using two small functions implemented here. In addition, non-square matrices are supported. Block diagonal matrices occur when two dimensions of a data set are combined along one edge of a matrix. For example, trade-flow data in the decompr and gvc packages have each country-industry combination occur along both edges of the matrix.

r-dhga 0.1
Propagated dependencies: r-venndiagram@1.7.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dhga
Licenses: GPL 2+
Build system: r
Synopsis: Differential Hub Gene Analysis
Description:

Identification of hub genes in a gene co-expression network from gene expression data. The differential network analysis for two contrasting conditions leads to the identification of various types of hubs like Housekeeping, Unique to stress (Disease) and Unique to control (Normal) hub genes.

r-divo 1.0.2
Propagated dependencies: 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=divo
Licenses: GPL 3+
Build system: r
Synopsis: Tools for Analysis of Diversity and Similarity in Biological Systems
Description:

This package provides a set of tools for empirical analysis of diversity (a number and frequency of different types in a population) and similarity (a number and frequency of shared types in two populations) in biological or ecological systems.

r-diagrammer 1.0.11
Propagated dependencies: r-visnetwork@2.1.4 r-viridislite@0.4.2 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-scales@1.4.0 r-rstudioapi@0.17.1 r-rlang@1.1.6 r-readr@2.1.6 r-rcolorbrewer@1.1-3 r-purrr@1.2.0 r-magrittr@2.0.4 r-igraph@2.2.1 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-glue@1.8.0 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://rich-iannone.github.io/DiagrammeR/
Licenses: Expat
Build system: r
Synopsis: Graph/Network Visualization
Description:

Build graph/network structures using functions for stepwise addition and deletion of nodes and edges. Work with data available in tables for bulk addition of nodes, edges, and associated metadata. Use graph selections and traversals to apply changes to specific nodes or edges. A wide selection of graph algorithms allow for the analysis of graphs. Visualize the graphs and take advantage of any aesthetic properties assigned to nodes and edges.

r-dos 1.0.0
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=DOS
Licenses: GPL 2
Build system: r
Synopsis: Design of Observational Studies
Description:

This package contains data sets, examples and software from the book Design of Observational Studies by Paul R. Rosenbaum, New York: Springer, <doi:10.1007/978-1-4419-1213-8>, ISBN 978-1-4419-1212-1.

r-depcens 0.2.3
Propagated dependencies: r-survival@3.8-3 r-rootsolve@1.8.2.4 r-matrixstats@1.5.0 r-formula@1.2-5 r-dlm@1.1-6.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/GabrielGrandemagne/DepCens
Licenses: GPL 2+
Build system: r
Synopsis: Dependent Censoring Regression Models
Description:

Dependent censoring regression models for survival multivariate data. These models are based on extensions of the frailty models, capable to accommodating the dependence between failure and censoring times, with Weibull and piecewise exponential marginal distributions. Theoretical details regarding the models implemented in the package can be found in Schneider et al. (2019) <doi:10.1002/bimj.201800391>.

r-diftree 3.1.6
Propagated dependencies: r-vgam@1.1-13 r-plotrix@3.8-13 r-penalized@0.9-53 r-gridbase@0.4-7
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DIFtree
Licenses: GPL 2
Build system: r
Synopsis: Item Focussed Trees for the Identification of Items in Differential Item Functioning
Description:

Item focussed recursive partitioning for simultaneous selection of items and variables that induce Differential Item Functioning (DIF) in dichotomous or polytomous items.

r-diffee 1.1.0
Propagated dependencies: r-pcapp@2.0-5 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/QData/DIFFEE
Licenses: GPL 2
Build system: r
Synopsis: Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure
Description:

This is an R implementation of Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure (DIFFEE). The DIFFEE algorithm can be used to fast estimate the differential network between two related datasets. For instance, it can identify differential gene network from datasets of case and control. By performing data-driven network inference from two high-dimensional data sets, this tool can help users effectively translate two aggregated data blocks into knowledge of the changes among entities between two Gaussian Graphical Model. Please run demo(diffeeDemo) to learn the basic functions provided by this package. For further details, please read the original paper: Beilun Wang, Arshdeep Sekhon, Yanjun Qi (2018) <arXiv:1710.11223>.

r-diffmeshgp 0.1.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=diffMeshGP
Licenses: GPL 2+
Build system: r
Synopsis: Multi-Fidelity Computer Experiments Using the Tuo-Wu-Yu Model
Description:

This R function implements the nonstationary Kriging model proposed by Tuo, Wu and Yu (2014) <DOI:10.1080/00401706.2013.842935> for analyzing multi-fidelity computer outputs. This function computes the maximum likelihood estimates for the model parameters as well as the predictive means and variances of the exact solution.

r-dqagui 0.2.6
Propagated dependencies: r-waiter@0.2.5-1.927501b r-shinywidgets@0.9.0 r-shinyjs@2.1.0 r-shinyfiles@0.9.3 r-shinydashboard@0.7.3 r-shinyalert@3.1.0 r-shiny@1.11.1 r-parsedate@1.3.2 r-magrittr@2.0.4 r-lubridate@1.9.4 r-knitr@1.50 r-jsonlite@2.0.0 r-dt@0.34.0 r-dqastats@0.3.9 r-dizutils@0.1.3 r-diztools@1.0.3 r-daterangepicker@0.2.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/miracum/dqa-dqagui
Licenses: GPL 3
Build system: r
Synopsis: Graphical User Interface for Data Quality Assessment
Description:

This package provides a graphical user interface (GUI) to the functions implemented in the R package DQAstats'. Publication: Mang et al. (2021) <doi:10.1186/s12911-022-01961-z>.

r-ddhfm 1.1.4
Propagated dependencies: r-wavethresh@4.7.3 r-lokern@1.1-12
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DDHFm
Licenses: GPL 2
Build system: r
Synopsis: Variance Stabilization by Data-Driven Haar-Fisz (for Microarrays)
Description:

This package contains the normalizing and variance stabilizing Data-Driven Haar-Fisz algorithm. Also contains related algorithms for simulating from certain microarray gene intensity models and evaluation of certain transformations. Contains cDNA and shipping credit flow data.

r-drcte 1.0.65
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-survival@3.8-3 r-sandwich@3.1-1 r-plyr@1.8.9 r-nor1mix@1.3-3 r-multcomp@1.4-29 r-mclust@6.1.2 r-mass@7.3-65 r-lmtest@0.9-40 r-drc@3.0-1 r-dplyr@1.1.4 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://www.statforbiology.com
Licenses: GPL 2+
Build system: r
Synopsis: Statistical Approaches for Time-to-Event Data in Agriculture
Description:

This package provides a specific and comprehensive framework for the analyses of time-to-event data in agriculture. Fit non-parametric and parametric time-to-event models. Compare time-to-event curves for different experimental groups. Plots and other displays. It is particularly tailored to the analyses of data from germination and emergence assays. The methods are described in Onofri et al. (2022) "A unified framework for the analysis of germination, emergence, and other time-to-event data in weed science", Weed Science, 70, 259-271 <doi:10.1017/wsc.2022.8>.

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-devemf 4.5-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/plfjohnson/devEMF
Licenses: GPL 3
Build system: r
Synopsis: EMF Graphics Output Device
Description:

Output graphics to EMF+/EMF.

r-discretization 1.0-1.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=discretization
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Data Preprocessing, Discretization for Classification
Description:

This package provides a collection of supervised discretization algorithms. It can also be grouped in terms of top-down or bottom-up, implementing the discretization algorithms.

r-dendrosync 0.1.5
Propagated dependencies: r-nlme@3.1-168 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://bitbucket.org/josucham/dendrosync/src/issues/
Licenses: GPL 2
Build system: r
Synopsis: Set of Tools for Calculating Spatial Synchrony Between Tree-Ring Chronologies
Description:

This package provides functions for the calculation and plotting of synchrony in tree growth from tree-ring width chronologies (TRW index). It combines variance-covariance (VCOV) mixed modelling with functions that quantify the degree to which the TRW chronologies contain a common temporal signal. It also implements temporal trends in spatial synchrony using a moving window. These methods can also be used with other kind of ecological variables that have temporal autocorrelation corrected.

r-drhotnet 2.3
Propagated dependencies: r-spdep@1.4-1 r-spatstat-linnet@3.3-2 r-spatstat-geom@3.6-1 r-spatstat@3.4-1 r-sp@2.2-0 r-raster@3.6-32 r-pbsmapping@2.74.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DRHotNet
Licenses: GPL 2
Build system: r
Synopsis: Differential Risk Hotspots in a Linear Network
Description:

This package performs the identification of differential risk hotspots (Briz-Redon et al. 2019) <doi:10.1016/j.aap.2019.105278> along a linear network. Given a marked point pattern lying on the linear network, the method implemented uses a network-constrained version of kernel density estimation (McSwiggan et al. 2017) <doi:10.1111/sjos.12255> to approximate the probability of occurrence across space for the type of event specified by the user through the marks of the pattern (Kelsall and Diggle 1995) <doi:10.2307/3318678>. The goal is to detect microzones of the linear network where the type of event indicated by the user is overrepresented.

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-doebioresearch 0.1.0
Propagated dependencies: r-agricolae@1.3-7
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=doebioresearch
Licenses: GPL 3
Build system: r
Synopsis: Analysis of Design of Experiments for Biological Research
Description:

This package performs analysis of popular experimental designs used in the field of biological research. The designs covered are completely randomized design, randomized complete block design, factorial completely randomized design, factorial randomized complete block design, split plot design, strip plot design and latin square design. The analysis include analysis of variance, coefficient of determination, normality test of residuals, standard error of mean, standard error of difference and multiple comparison test of means. The package has functions for transformation of data and yield data conversion. Some datasets are also added in order to facilitate examples.

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-dyncorr 1.1.0
Propagated dependencies: r-lpridge@1.1-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dynCorr
Licenses: GPL 2
Build system: r
Synopsis: Dynamic Correlation Package
Description:

Computes dynamical correlation estimates and percentile bootstrap confidence intervals for pairs of longitudinal responses, including consideration of lags and derivatives.

r-dtableone 1.1.0
Propagated dependencies: r-proc@1.19.0.1 r-irr@0.84.1 r-epir@2.0.90 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=Dtableone
Licenses: GPL 2
Build system: r
Synopsis: Tabular Comparison of Paired Diagnostic Tests
Description:

Offers statistical methods to compare diagnostic performance between two binary diagnostic tests on the same subject in clinical studies. Includes functions for generating formatted tables to display diagnostic outcomes, facilitating a clear and comprehensive comparison directly through the R console. Inspired by and extending the functionalities of the DTComPair', tableone', and gtsummary packages.

r-didhad 2.0.0
Propagated dependencies: r-yatchewtest@1.1.1 r-rnames@1.0.1 r-rlang@1.1.6 r-plm@2.6-7 r-nprobust@0.5.0 r-haven@2.5.5 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=DIDHAD
Licenses: Expat
Build system: r
Synopsis: Difference-in-Differences in Heterogeneous Adoption Designs with Quasi Untreated Groups
Description:

Estimation of Difference-in-Differences (DiD) estimators from de Chaisemartin et al. (2025) <doi:10.48550/arXiv.2405.04465> in Heterogeneous Adoption Designs with Quasi Untreated Groups.

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