_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

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-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-dfmirror 2.2.0
Propagated dependencies: r-mass@7.3-65 r-fitdistrplus@1.2-4 r-e1071@1.7-16
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/jacobpstein/dfmirroR
Licenses: Expat
Build system: r
Synopsis: Simulate a Data Frame Mirroring an Input and Produce Shareable Simulation Code
Description:

The dfmirroR package allows users to input a data frame, simulate some number of observations based on specified columns of that data frame, and then outputs a string that contains the code to re-create the simulation. The goal is to both provide workable test data sets and provide users with the information they need to set up reproducible examples with team members. This package was created out of a need to share examples in cases where data are private and where a full data frame is not needed for testing or coordinating.

r-dove 1.11
Propagated dependencies: r-survival@3.8-3 r-rcpparmadillo@15.2.2-1 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=DOVE
Licenses: GPL 2
Build system: r
Synopsis: Durability of Vaccine Efficacy
Description:

This package implements maximum likelihood methods for evaluating the durability of vaccine efficacy in a randomized, placebo-controlled clinical trial with staggered enrollment of participants and potential crossover of placebo recipients before the end of the trial. Lin, D. Y., Zeng, D., and Gilbert, P. B. (2021) <doi:10.1093/cid/ciab226> and Lin, D. Y., Gu, Y., Zeng, D., Janes, H. E., and Gilbert, P. B. (2021) <doi:10.1093/cid/ciab630>.

r-dynpred 0.1.2
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: http://www.msbi.nl/putter
Licenses: GPL 2+
Build system: r
Synopsis: Companion Package to "Dynamic Prediction in Clinical Survival Analysis"
Description:

The dynpred package contains functions for dynamic prediction in survival analysis.

r-denguedatahub 3.2.0
Propagated dependencies: r-xml2@1.5.0 r-tidyr@1.3.1 r-tibble@3.3.0 r-tabulapdf@1.0.5-5 r-stringr@1.6.0 r-rvest@1.0.5 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-here@1.0.2 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://denguedatahub.netlify.app/
Licenses: GPL 3
Build system: r
Synopsis: Tidy Format Datasets of Dengue by Country
Description:

This package provides a weekly, monthly, yearly summary of dengue cases by state/ province/ country.

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-diyar 0.5.1
Propagated dependencies: r-rlang@1.1.6 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://olisansonwu.github.io/diyar/index.html
Licenses: GPL 3
Build system: r
Synopsis: Record Linkage and Epidemiological Case Definitions in 'R'
Description:

An R package for iterative and batched record linkage, and applying epidemiological case definitions. diyar can be used for deterministic and probabilistic record linkage, or multistage record linkage combining both approaches. It features the implementation of nested match criteria, and mechanisms to address missing data and conflicting matches during stepwise record linkage. Case definitions are implemented by assigning records to groups based on match criteria such as person or place, and overlapping time or duration of events e.g. sample collection dates or periods of hospital stays. Matching records are assigned a unique group ID. Index and duplicate records are removed or further analyses as required.

r-detrendr 0.6.15
Propagated dependencies: r-withr@3.0.2 r-stringr@1.6.0 r-rlang@1.1.6 r-rcppparallel@5.1.11-1 r-rcpp@1.1.0 r-purrr@1.2.0 r-plyr@1.8.9 r-magrittr@2.0.4 r-iterators@1.0.14 r-ijtiff@3.2.0 r-foreach@1.5.2 r-filesstrings@3.4.0 r-dplyr@1.1.4 r-doparallel@1.0.17 r-checkmate@2.3.3 r-autothresholdr@1.4.3 r-arrayhelpers@1.1-0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://rorynolan.github.io/detrendr/
Licenses: Modified BSD
Build system: r
Synopsis: Detrend Images
Description:

Detrend fluorescence microscopy image series for fluorescence fluctuation and correlation spectroscopy ('FCS and FFS') analysis. This package contains functionality published in a 2016 paper <doi:10.1093/bioinformatics/btx434> but it has been extended since then with the Robin Hood algorithm and thus contains unpublished work.

r-dmod 1.0.2
Propagated dependencies: r-stringr@1.6.0 r-rootsolve@1.8.2.4 r-plyr@1.8.9 r-ggplot2@4.0.1 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17 r-desolve@1.40 r-code@1.1.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dMod
Licenses: GPL 2+
Build system: r
Synopsis: Dynamic Modeling and Parameter Estimation in ODE Models
Description:

The framework provides functions to generate ODEs of reaction networks, parameter transformations, observation functions, residual functions, etc. The framework follows the paradigm that derivative information should be used for optimization whenever possible. Therefore, all major functions produce and can handle expressions for symbolic derivatives. The methods used in dMod were published in Kaschek et al, 2019, <doi:10.18637/jss.v088.i10>.

r-dfoptim 2023.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dfoptim
Licenses: GPL 2+
Build system: r
Synopsis: Derivative-Free Optimization
Description:

Derivative-Free optimization algorithms. These algorithms do not require gradient information. More importantly, they can be used to solve non-smooth optimization problems.

r-dlookr 0.6.5
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-sysfonts@0.8.9 r-showtext@0.9-7 r-shiny@1.11.1 r-rpart@4.1.24 r-rmarkdown@2.30 r-rlang@1.1.6 r-reactable@0.4.5 r-purrr@1.2.0 r-pagedown@0.23 r-mice@3.18.0 r-knitr@1.50 r-kableextra@1.4.0 r-htmltools@0.5.8.1 r-gridextra@2.3 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://github.com/choonghyunryu/dlookr/
Licenses: GPL 2
Build system: r
Synopsis: Tools for Data Diagnosis, Exploration, Transformation
Description:

This package provides a collection of tools that support data diagnosis, exploration, and transformation. Data diagnostics provides information and visualization of missing values, outliers, and unique and negative values to help you understand the distribution and quality of your data. Data exploration provides information and visualization of the descriptive statistics of univariate variables, normality tests and outliers, correlation of two variables, and the relationship between the target variable and predictor. Data transformation supports binning for categorizing continuous variables, imputes missing values and outliers, and resolves skewness. And it creates automated reports that support these three tasks.

r-dvir 3.3.0
Propagated dependencies: r-verbalisr@0.7.2 r-ribd@1.7.1 r-pedtools@2.10.0 r-pedprobr@1.0.1 r-pedfamilias@0.2.4 r-pbapply@1.7-4 r-forrel@1.8.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/magnusdv/dvir
Licenses: GPL 3
Build system: r
Synopsis: Disaster Victim Identification
Description:

Joint DNA-based disaster victim identification (DVI), as described in Vigeland and Egeland (2021) <doi:10.21203/rs.3.rs-296414/v1>. Identification is performed by optimising the joint likelihood of all victim samples and reference individuals. Individual identification probabilities, conditional on all available information, are derived from the joint solution in the form of posterior pairing probabilities. dvir is part of the pedsuite collection of packages for pedigree analysis.

r-dfphase1 1.2.0
Propagated dependencies: r-robustbase@0.99-6 r-rcpp@1.1.0 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=dfphase1
Licenses: LGPL 2.0+
Build system: r
Synopsis: Phase I Control Charts (with Emphasis on Distribution-Free Methods)
Description:

Statistical methods for retrospectively detecting changes in location and/or dispersion of univariate and multivariate variables. Data values are assumed to be independent, can be individual (one observation at each instant of time) or subgrouped (more than one observation at each instant of time). Control limits are computed, often using a permutation approach, so that a prescribed false alarm probability is guaranteed without making any parametric assumptions on the stable (in-control) distribution. See G. Capizzi and G. Masarotto (2018) <doi:10.1007/978-3-319-75295-2_1> for an introduction to the package.

r-devianlm 1.0.7
Propagated dependencies: r-rcpparmadillo@15.2.2-1 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=devianLM
Licenses: GPL 3
Build system: r
Synopsis: Detecting Extremal Values in a Normal Linear Model
Description:

This package provides a method to detect values poorly explained by a Gaussian linear model. The procedure is based on the maximum of the absolute value of the studentized residuals, which is a parameter-free statistic. This approach generalizes several procedures used to detect abnormal values during longitudinal monitoring of biological markers. For methodological details, see: Berthelot G., Saulière G., Dedecker J. (2025). "DEViaN-LM An R Package for Detecting Abnormal Values in the Gaussian Linear Model". HAL Id: hal-05230549. <https://hal.science/hal-05230549>.

r-dovalidation 1.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DOvalidation
Licenses: GPL 2
Build system: r
Synopsis: Kernel Hazard Estimation with Best One-Sided and Double One-Sided Cross-Validation
Description:

Local linear hazard estimator and its multiplicatively bias correction, including three bandwidth selection methods: best one-sided cross-validation, double one-sided cross-validation, and standard cross-validation.

r-datapackager 0.16.2
Propagated dependencies: r-yaml@2.3.10 r-usethis@3.2.1 r-rprojroot@2.1.1 r-roxygen2@7.3.3 r-rmarkdown@2.30 r-pkgload@1.4.1 r-pkgbuild@1.4.8 r-knitr@1.50 r-digest@0.6.39 r-desc@1.4.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/ropensci/DataPackageR
Licenses: Expat
Build system: r
Synopsis: Construct Reproducible Analytic Data Sets as R Packages
Description:

This package provides a framework to help construct R data packages in a reproducible manner. Potentially time consuming processing of raw data sets into analysis ready data sets is done in a reproducible manner and decoupled from the usual R CMD build process so that data sets can be processed into R objects in the data package and the data package can then be shared, built, and installed by others without the need to repeat computationally costly data processing. The package maintains data provenance by turning the data processing scripts into package vignettes, as well as enforcing documentation and version checking of included data objects. Data packages can be version controlled on GitHub', and used to share data for manuscripts, collaboration and reproducible research.

r-docxtractr 0.6.5
Propagated dependencies: r-xml2@1.5.0 r-purrr@1.2.0 r-magrittr@2.0.4 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: http://gitlab.com/hrbrmstr/docxtractr
Licenses: Expat
Build system: r
Synopsis: Extract Data Tables and Comments from 'Microsoft' 'Word' Documents
Description:

Microsoft Word docx files provide an XML structure that is fairly straightforward to navigate, especially when it applies to Word tables and comments. Tools are provided to determine table count/structure, comment count and also to extract/clean tables and comments from Microsoft Word docx documents. There is also nascent support for .doc and .pptx files.

r-dslice 1.2.2
Propagated dependencies: r-scales@1.4.0 r-rcpp@1.1.0 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=dslice
Licenses: GPL 2+
Build system: r
Synopsis: Dynamic Slicing
Description:

Dynamic slicing is a method designed for dependency detection between a categorical variable and a continuous variable. It could be applied for non-parametric hypothesis testing and gene set enrichment analysis.

r-dagassist 0.2.7
Propagated dependencies: r-writexl@1.5.4 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-dotwhisker@0.8.4 r-dagitty@0.3-4 r-crayon@1.5.3 r-cli@3.6.5 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/grahamgoff/DAGassist
Licenses: GPL 2+
Build system: r
Synopsis: Test Robustness with Directed Acyclic Graphs
Description:

This package provides robustness checks to align estimands with the identification that they require. Given a dagitty object and a model specification, DAGassist classifies variables by causal roles, flags problematic controls, and generates a report comparing the original model with minimal and canonical adjustment sets. Exports publication-grade reports in LaTeX', Word', Excel', dotwhisker', or plain text/'markdown'. DAGassist is built on dagitty', an R package that uses the DAGitty web tool (<https://dagitty.net/>) for creating and analyzing DAGs. Methods draw on Pearl (2009) <doi:10.1017/CBO9780511803161> and Textor et al. (2016) <doi:10.1093/ije/dyw341>.

r-dll 1.0.0
Propagated dependencies: r-sam@1.1.3 r-mass@7.3-65 r-locpol@0.9.0 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/zijguo/HighDim-Additive-Inference
Licenses: GPL 3
Build system: r
Synopsis: Decorrelated Local Linear Estimator
Description:

Implementation of the Decorrelated Local Linear estimator proposed in <arxiv:1907.12732>. It constructs the confidence interval for the derivative of the function of interest under the high-dimensional sparse additive model.

r-dir2json 0.1.0
Propagated dependencies: r-rlang@1.1.6 r-jsonlite@2.0.0 r-fs@1.6.6 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/parmsam/dir2json-r
Licenses: Expat
Build system: r
Synopsis: Convert Directory to JSON
Description:

Convert a directory structure into a JSON format. This package lets you recursively traverse a directory and convert its contents into a JSON object, making it easier to import code base from file systems into large language models.

r-drugsim2dr 0.1.2
Propagated dependencies: r-tidyr@1.3.1 r-reshape2@1.4.5 r-pheatmap@1.0.13 r-igraph@2.2.1 r-fastmatch@1.1-6
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DrugSim2DR
Licenses: GPL 2+
Build system: r
Synopsis: Predict Drug Functional Similarity to Drug Repurposing
Description:

This package provides a systematic biology tool was developed to repurpose drugs via a drug-drug functional similarity network. DrugSim2DR first predict drug-drug functional similarity in the context of specific disease, and then using the similarity constructed a weighted drug similarity network. Finally, it used a network propagation algorithm on the network to identify drugs with significant target abnormalities as candidate drugs.

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-ddd 5.2.4
Propagated dependencies: r-subplex@1.9 r-sparsem@1.84-2 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-phytools@2.5-2 r-matrix@1.7-4 r-expm@1.0-0 r-desolve@1.40 r-deoptim@2.2-8 r-bh@1.87.0-1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://rsetienne.github.io/DDD/
Licenses: GPL 3
Build system: r
Synopsis: Diversity-Dependent Diversification
Description:

This package implements maximum likelihood and bootstrap methods based on the diversity-dependent birth-death process to test whether speciation or extinction are diversity-dependent, under various models including various types of key innovations. See Etienne et al. 2012, Proc. Roy. Soc. B 279: 1300-1309, <DOI:10.1098/rspb.2011.1439>, Etienne & Haegeman 2012, Am. Nat. 180: E75-E89, <DOI:10.1086/667574>, Etienne et al. 2016. Meth. Ecol. Evol. 7: 1092-1099, <DOI:10.1111/2041-210X.12565> and Laudanno et al. 2021. Syst. Biol. 70: 389â 407, <DOI:10.1093/sysbio/syaa048>. Also contains functions to simulate the diversity-dependent process.

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