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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-distionary 0.1.0
Propagated dependencies: r-vctrs@0.6.5 r-rlang@1.1.6 r-ellipsis@0.3.2 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://distionary.probaverse.com/
Licenses: Expat
Build system: r
Synopsis: Create and Evaluate Probability Distributions
Description:

Create and evaluate probability distribution objects from a variety of families or define custom distributions. Automatically compute distributional properties, even when they have not been specified. This package supports statistical modeling and simulations, and forms the core of the probaverse suite of R packages.

r-dnaseqtest 1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DNAseqtest
Licenses: GPL 2
Build system: r
Synopsis: Generating and Testing DNA Sequences
Description:

Generates DNA sequences based on Markov model techniques for matched sequences. This can be generalized to several sequences. The sequences (taxa) are then arranged in an evolutionary tree (phylogenetic tree) depicting how taxa diverge from their common ancestors. This gives the tests and estimation methods for the parameters of different models. Standard phylogenetic methods assume stationarity, homogeneity and reversibility for the Markov processes, and often impose further restrictions on the parameters.

r-disperse 1.1
Propagated dependencies: r-sp@2.2-0 r-sf@1.0-23 r-raster@3.6-32
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dispeRse
Licenses: Expat
Build system: r
Synopsis: Simulation of Demic Diffusion with Environmental Constraints
Description:

Simulates demic diffusion building on models previously developed for the expansion of Neolithic and other food-producing economies during the Holocene (Fort et al. (2012) <doi:10.7183/0002-7316.77.2.203>, Souza et al. (2021) <doi:10.1098/rsif.2021.0499>). Growth and emigration are modelled as density-dependent processes using logistic growth and an asymptotic threshold model. Environmental and terrain layers, which can change over time, affect carrying capacity, growth and mobility. Multiple centres of origin with their respective starting times can be specified.

r-dynamaedes 2.2.9
Propagated dependencies: r-terra@1.8-86 r-geosphere@1.5-20 r-foreach@1.5.2 r-drc@3.0-1 r-doparallel@1.0.17 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://mattmar.github.io/dynamAedes/
Licenses: GPL 2+
Build system: r
Synopsis: Unified Mechanistic Model for the Population Dynamics of Invasive Aedes Mosquitoes
Description:

Generalised model for population dynamics of invasive Aedes mosquitoes. Rationale and model structure are described here: Da Re et al. (2021) <doi:10.1016/j.ecoinf.2020.101180> and Da Re et al. (2022) <doi:10.1101/2021.12.21.473628>.

r-distrib 1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DISTRIB
Licenses: LGPL 3+
Build system: r
Synopsis: Four Essential Functions for Statistical Distributions Analysis: A New Functional Approach
Description:

This package provides a different way for calculating pdf/pmf, cdf, quantile and random data such that the user is able to consider the name of related distribution as an argument and so easily can changed by a changing argument by user. It must be mentioned that the core and computation base of package DISTRIB is package stats'. Although similar functions are introduced previously in package stats', but the package DISTRIB has some special applications in some special computational programs.

r-dnamixtureslite 0.0-1
Propagated dependencies: r-rsolnp@2.0.1 r-numderiv@2016.8-1.1 r-matrix@1.7-4 r-grbase@2.0.3 r-graven@1.1.10
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DNAmixturesLite
Licenses: GPL 2+
Build system: r
Synopsis: Statistical Inference for Mixed Traces of DNA (Lite-Version)
Description:

Statistical methods for DNA mixture analysis. This package is a lite-version of the DNAmixtures package to allow users without a HUGIN software license to experiment with the statistical methodology. While the lite-version aims to provide the full functionality it is noticeably less efficient than the original DNAmixtures package. For details on implementation and methodology see <https://dnamixtures.r-forge.r-project.org/>.

r-diphiseq 0.2.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DiPhiSeq
Licenses: GPL 3
Build system: r
Synopsis: Robust Tests for Differential Dispersion and Differential Expression in RNA-Sequencing Data
Description:

This package implements the algorithm described in Jun Li and Alicia T. Lamere, "DiPhiSeq: Robust comparison of expression levels on RNA-Seq data with large sample sizes" (Unpublished). Detects not only genes that show different average expressions ("differential expression", DE), but also genes that show different diversities of expressions in different groups ("differentially dispersed", DD). DD genes can be important clinical markers. DiPhiSeq uses a redescending penalty on the quasi-likelihood function, and thus has superior robustness against outliers and other noise. Updates from version 0.1.0: (1) Added the option of using adaptive initial value for phi. (2) Added a function for estimating the proportion of outliers in the data. (3) Modified the input parameter names for clarity, and modified the output format for the main function.

r-dauphin 0.3.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dauphin
Licenses: GPL 2
Build system: r
Synopsis: Compact Standard for Australian Phone Numbers
Description:

Phone numbers are often represented as strings because there is no obvious and suitable native representation for them. This leads to high memory use and a lack of standard representation. The package provides integer representation of Australian phone numbers with optional raw vector calling code. The package name is an extension of au and ph'.

r-der 1.3
Propagated dependencies: r-rfast2@0.1.5.6 r-rfast@2.1.5.2 r-rcppparallel@5.1.11-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DER
Licenses: GPL 2+
Build system: r
Synopsis: Income Polarization Index
Description:

Extremely fast and memory efficient computation of the DER (or PaF) income polarization index as proposed by Duclos J. Y., Esteban, J. and Ray D. (2004). "Polarization: concepts, measurement, estimation". Econometrica, 72(6): 1737--1772. <doi:10.1111/j.1468-0262.2004.00552.x>. The index may be computed for a single or for a range of values of the alpha-parameter and bootstrapping is also available.

r-drhur 1.1.0
Propagated dependencies: r-learnr@0.11.6
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=drhur
Licenses: Expat
Build system: r
Synopsis: Learning R with Dr. Hu
Description:

Tutarials of R learning easily and happily.

r-dbw 1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/hirotokatsumata/dbw
Licenses: Expat
Build system: r
Synopsis: Doubly Robust Distribution Balancing Weighting Estimation
Description:

This package implements the doubly robust distribution balancing weighting proposed by Katsumata (2024) <doi:10.1017/psrm.2024.23>, which improves the augmented inverse probability weighting (AIPW) by estimating propensity scores with estimating equations suitable for the pre-specified parameter of interest (e.g., the average treatment effects or the average treatment effects on the treated) and estimating outcome models with the estimated inverse probability weights. It also implements the covariate balancing propensity score proposed by Imai and Ratkovic (2014) <doi:10.1111/rssb.12027> and the entropy balancing weighting proposed by Hainmueller (2012) <doi:10.1093/pan/mpr025>, both of which use covariate balancing conditions in propensity score estimation. The point estimate of the parameter of interest and its uncertainty as well as coefficients for propensity score estimation and outcome regression are produced using the M-estimation. The same functions can be used to estimate average outcomes in missing outcome cases.

r-doparabar 1.0.2
Propagated dependencies: r-parabar@1.4.2 r-iterators@1.0.14 r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/mihaiconstantin/doParabar
Licenses: Expat
Build system: r
Synopsis: 'foreach' Parallel Adapter for 'parabar' Backends
Description:

This package provides a foreach parallel adapter for parabar backends. This package offers a minimal implementation of the %dopar% operator, enabling users to run foreach loops in parallel, leveraging the parallel and progress-tracking capabilities of the parabar package. Learn more about parabar and doParabar at <https://parabar.mihaiconstantin.com>.

r-docore 1.0
Propagated dependencies: r-pracma@2.4.6 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=docore
Licenses: GPL 3
Build system: r
Synopsis: Utility Functions for Scientific Coding
Description:

Basic routines used in scientific coding, such as timing routines, vector/array handing functions and I/O support routines.

r-distributioniv 0.1.3
Propagated dependencies: r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DistributionIV
Licenses: Expat
Build system: r
Synopsis: Distributional Instrumental Variable (DIV) Model
Description:

Distributional instrumental variable (DIV) model for estimation of the interventional distribution of the outcome Y under a do intervention on the treatment X. Instruments, predictors and targets can be univariate or multivariate. Functionality includes estimation of the (conditional) interventional mean and quantiles, as well as sampling from the fitted (conditional) interventional distribution.

r-ddpstar 1.0-1
Propagated dependencies: r-moments@0.14.1 r-matrix@1.7-4 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=DDPstar
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Density Regression via Dirichlet Process Mixtures of Normal Structured Additive Regression Models
Description:

This package implements a flexible, versatile, and computationally tractable model for density regression based on a single-weights dependent Dirichlet process mixture of normal distributions model for univariate continuous responses. The model assumes an additive structure for the mean of each mixture component and the effects of continuous covariates are captured through smooth nonlinear functions. The key components of our modelling approach are penalised B-splines and their bivariate tensor product extension. The proposed method can also easily deal with parametric effects of categorical covariates, linear effects of continuous covariates, interactions between categorical and/or continuous covariates, varying coefficient terms, and random effects. Please see Rodriguez-Alvarez, Inacio et al. (2025) for more details.

r-datafusiongdm 1.3.2
Propagated dependencies: r-vegan@2.7-2 r-mice@3.18.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/jiashuaiz/DataFusion-GDM
Licenses: GPL 3
Build system: r
Synopsis: Machine Learning for Integrating Partially Overlapped Genetic Datasets
Description:

This package provides tools to simulate genetic distance matrices, align and compare them via multidimensional scaling (MDS) and Procrustes, and evaluate imputation with the Bootstrapping Evaluation for Structural Missingness Imputation (BESMI) framework. Methods align with Zhu et al. (2025) <doi:10.3389/fpls.2025.1543956> and the associated software resource Zhu (2025) <doi:10.26188/28602953>.

r-dizutils 0.1.3
Propagated dependencies: r-xml2@1.5.0 r-rpresto@1.4.7 r-rpostgres@1.4.8 r-rjsonio@2.0.0 r-rjdbc@0.2-10 r-psych@2.5.6 r-httr@1.4.7 r-hmisc@5.2-4 r-diztools@1.0.3 r-dbi@1.2.3 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/misc-dizutils
Licenses: GPL 3
Build system: r
Synopsis: Utilities for 'DIZ' R Package Development
Description:

Utility functions used for the R package development infrastructure inside the data integration centers ('DIZ') to standardize and facilitate repetitive tasks such as setting up a database connection or issuing notification messages and to avoid redundancy.

r-datasum 0.1.1
Propagated dependencies: r-nortest@1.0-4 r-moments@0.14.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/Uzairkhan11w/DataSum
Licenses: GPL 3
Build system: r
Synopsis: Comprehensive Data Summarization for Statistical Analysis
Description:

Summarizes data frames by calculating various statistics including central tendency, dispersion, shape, and normality diagnostics. Handles numeric, character, and factor columns with NA-aware computations.

r-differentes 0.3.2
Propagated dependencies: r-igraph@2.2.1 r-dot@0.1 r-boolnet@2.1.9
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=diffeRenTES
Licenses: GPL 3
Build system: r
Synopsis: Computation of TES-Based Cell Differentiation Trees
Description:

Computes the ATM (Attractor Transition Matrix) structure and the tree-like structure describing the cell differentiation process (based on the Threshold Ergodic Set concept introduced by Serra and Villani), starting from the Boolean networks with synchronous updating scheme of the BoolNet R package. TESs (Threshold Ergodic Sets) are the mathematical abstractions that represent the different cell types arising during ontogenesis. TESs and the powerful model of biological differentiation based on Boolean networks to which it belongs have been firstly described in "A Dynamical Model of Genetic Networks for Cell Differentiation" Villani M, Barbieri A, Serra R (2011) A Dynamical Model of Genetic Networks for Cell Differentiation. PLOS ONE 6(3): e17703.

r-distcrete 1.0.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/reconhub/distcrete
Licenses: Expat
Build system: r
Synopsis: Discrete Distribution Approximations
Description:

This package creates discretised versions of continuous distribution functions by mapping continuous values to an underlying discrete grid, based on a (uniform) frequency of discretisation, a valid discretisation point, and an integration range. For a review of discretisation methods, see Chakraborty (2015) <doi:10.1186/s40488-015-0028-6>.

r-dockerfiler 0.2.5
Propagated dependencies: r-usethis@3.2.1 r-remotes@2.5.0 r-r6@2.6.1 r-purrr@1.2.0 r-pkgbuild@1.4.8 r-pak@0.9.2 r-memoise@2.0.1 r-jsonlite@2.0.0 r-glue@1.8.0 r-fs@1.6.6 r-desc@1.4.3 r-cli@3.6.5 r-attempt@0.3.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://thinkr-open.github.io/dockerfiler/
Licenses: Expat
Build system: r
Synopsis: Easy Dockerfile Creation from R
Description:

Build a Dockerfile straight from your R session. dockerfiler allows you to create step by step a Dockerfile, and provide convenient tools to wrap R code inside this Dockerfile.

r-dataspice 1.1.1
Propagated dependencies: r-whisker@0.4.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-shiny@1.11.1 r-rhandsontable@0.3.8 r-readr@2.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-ggplot2@4.0.1 r-fs@1.6.6 r-eml@2.0.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/ropensci/dataspice
Licenses: Expat
Build system: r
Synopsis: Create Lightweight Schema.org Descriptions of Data
Description:

The goal of dataspice is to make it easier for researchers to create basic, lightweight, and concise metadata files for their datasets. These basic files can then be used to make useful information available during analysis, create a helpful dataset "README" webpage, and produce more complex metadata formats to aid dataset discovery. Metadata fields are based on the Schema.org and Ecological Metadata Language standards.

r-djl 3.9
Propagated dependencies: r-lpsolveapi@5.5.2.0-17.14 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DJL
Licenses: GPL 2
Build system: r
Synopsis: Distance Measure Based Judgment and Learning
Description:

This package implements various decision support tools related to the Econometrics & Technometrics. Subroutines include correlation reliability test, Mahalanobis distance measure for outlier detection, combinatorial search (all possible subset regression), non-parametric efficiency analysis measures: DDF (directional distance function), DEA (data envelopment analysis), HDF (hyperbolic distance function), SBM (slack-based measure), and SF (shortage function), benchmarking, Malmquist productivity analysis, risk analysis, technology adoption model, new product target setting, network DEA, dynamic DEA, intertemporal budgeting, etc.

r-doubcens 1.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=doubcens
Licenses: GPL 2
Build system: r
Synopsis: Survivor Function Estimation for Doubly Interval-Censored Failure Time Data
Description:

This package contains the discrete nonparametric survivor function estimation algorithm of De Gruttola and Lagakos for doubly interval-censored failure time data and the discrete nonparametric survivor function estimation algorithm of Sun for doubly interval-censored left-truncated failure time data [Victor De Gruttola & Stephen W. Lagakos (1989) <doi:10.2307/2532030>] [Jianguo Sun (1995) <doi:10.2307/2533008>].

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