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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-descstatsr 0.1.0
Propagated dependencies: r-zoo@1.8-14 r-moments@0.14.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=descstatsr
Licenses: GPL 2
Build system: r
Synopsis: Descriptive Univariate Statistics
Description:

It generates summary statistics on the input dataset using different descriptive univariate statistical measures on entire data or at a group level. Though there are other packages which does similar job but each of these are deficient in one form or other, in the measures generated, in treating numeric, character and date variables alike, no functionality to view these measures on a group level or the way the output is represented. Given the foremost role of the descriptive statistics in any of the exploratory data analysis or solution development, there is a need for a more constructive, structured and refined version over these packages. This is the idea behind the package and it brings together all the required descriptive measures to give an initial understanding of the data quality, distribution in a faster,easier and elaborative way.The function brings an additional capability to be able to generate these statistical measures on the entire dataset or at a group level. It calculates measures of central tendency (mean, median), distribution (count, proportion), dispersion (min, max, quantile, standard deviation, variance) and shape (skewness, kurtosis). Addition to these measures, it provides information on the data type, count on no. of rows, unique entries and percentage of missing entries. More importantly the measures are generated based on the data types as required by them,rather than applying numerical measures on character and data variables and vice versa. Output as a dataframe object gives a very neat representation, which often is useful when working with a large number of columns. It can easily be exported as csv and analyzed further or presented as a summary report for the data.

r-dmtl 0.1.2
Propagated dependencies: r-randomforest@4.7-1.2 r-ks@1.15.1 r-kernlab@0.9-33 r-glmnet@4.1-10 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/dhruba018/DMTL
Licenses: GPL 3
Build system: r
Synopsis: Tools for Applying Distribution Mapping Based Transfer Learning
Description:

Implementation of a transfer learning framework employing distribution mapping based domain transfer. Uses the renowned concept of histogram matching (see Gonzalez and Fittes (1977) <doi:10.1016/0094-114X(77)90062-3>, Gonzalez and Woods (2008) <isbn:9780131687288>) and extends it to include distribution measures like kernel density estimates (KDE; see Wand and Jones (1995) <isbn:978-0-412-55270-0>, Jones et al. (1996) <doi:10.2307/2291420). In the typical application scenario, one can use the underlying sample distributions (histogram or KDE) to generate a map between two distinct but related domains to transfer the target data to the source domain and utilize the available source data for better predictive modeling design. Suitable for the case where a one-to-one sample matching is not possible, thus one needs to transform the underlying data distribution to utilize the more available data for modeling.

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-discbio 1.2.3
Propagated dependencies: r-withr@3.0.2 r-vegan@2.7-2 r-tsne@0.1-3.1 r-statmod@1.5.1 r-singlecellexperiment@1.32.0 r-rweka@0.4-47 r-rpart-plot@3.1.4 r-rpart@4.1.24 r-rcolorbrewer@1.1-3 r-png@0.1-8 r-netindices@1.4.4.1 r-mclust@6.1.2 r-impute@1.84.0 r-igraph@2.2.1 r-httr@1.4.7 r-ggplot2@4.0.1 r-fpc@2.2-13 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/ocbe-uio/DIscBIO
Licenses: Expat
Build system: r
Synopsis: User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics
Description:

An open, multi-algorithmic pipeline for easy, fast and efficient analysis of cellular sub-populations and the molecular signatures that characterize them. The pipeline consists of four successive steps: data pre-processing, cellular clustering with pseudo-temporal ordering, defining differential expressed genes and biomarker identification. More details on Ghannoum et. al. (2021) <doi:10.3390/ijms22031399>. This package implements extensions of the work published by Ghannoum et. al. (2019) <doi:10.1101/700989>.

r-daewr 1.2-11
Propagated dependencies: r-stringi@1.8.7 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=daewr
Licenses: GPL 2
Build system: r
Synopsis: Design and Analysis of Experiments with R
Description:

This package contains Data frames and functions used in the book "Design and Analysis of Experiments with R", Lawson(2015) ISBN-13:978-1-4398-6813-3.

r-dtwbi 1.1
Propagated dependencies: r-rlist@0.4.6.2 r-lsa@0.73.3 r-entropy@1.3.2 r-e1071@1.7-16 r-dtw@1.23-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: http://mawenzi.univ-littoral.fr/DTWBI/
Licenses: GPL 2+
Build system: r
Synopsis: Imputation of Time Series Based on Dynamic Time Warping
Description:

This package provides functions to impute large gaps within time series based on Dynamic Time Warping methods. It contains all required functions to create large missing consecutive values within time series and to fill them, according to the paper Phan et al. (2017), <DOI:10.1016/j.patrec.2017.08.019>. Performance criteria are added to compare similarity between two signals (query and reference).

r-dlbayes 0.1.0
Propagated dependencies: r-mass@7.3-65 r-laplacesdemon@16.1.6 r-glmnet@4.1-10 r-gigrvg@0.8 r-expm@1.0-0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dlbayes
Licenses: Expat
Build system: r
Synopsis: Use Dirichlet Laplace Prior to Solve Linear Regression Problem and Do Variable Selection
Description:

The Dirichlet Laplace shrinkage prior in Bayesian linear regression and variable selection, featuring: utility functions in implementing Dirichlet-Laplace priors such as visualization; scalability in Bayesian linear regression; penalized credible regions for variable selection.

r-dst 1.8.0
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-matrix@1.7-4 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=dst
Licenses: GPL 2+
Build system: r
Synopsis: Using the Theory of Belief Functions
Description:

Using the Theory of Belief Functions for evidence calculus. Basic probability assignments, or mass functions, can be defined on the subsets of a set of possible values and combined. A mass function can be extended to a larger frame. Marginalization, i.e. reduction to a smaller frame can also be done. These features can be combined to analyze small belief networks and take into account situations where information cannot be satisfactorily described by probability distributions.

r-dsmolgenisarmadillo 3.0.2
Propagated dependencies: r-urltools@1.7.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-molgenisauth@1.0.0 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-dsi@1.8.0 r-dplyr@1.1.4 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/molgenis/molgenis-r-datashield/
Licenses: LGPL 2.1+
Build system: r
Synopsis: 'DataSHIELD' Client for 'MOLGENIS Armadillo'
Description:

DataSHIELD is an infrastructure and series of R packages that enables the remote and non-disclosive analysis of sensitive research data. This package is the DataSHIELD interface implementation to analyze data shared on a MOLGENIS Armadillo server. MOLGENIS Armadillo is a light-weight DataSHIELD server using a file store and an RServe server.

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-dhsic 2.1
Propagated dependencies: 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=dHSIC
Licenses: GPL 3
Build system: r
Synopsis: Independence Testing via Hilbert Schmidt Independence Criterion
Description:

This package contains an implementation of the d-variable Hilbert Schmidt independence criterion and several hypothesis tests based on it, as described in Pfister et al. (2017) <doi:10.1111/rssb.12235>.

r-dblcens 1.1.9
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/yfyang86/dblcens/
Licenses: GPL 2+
Build system: r
Synopsis: Compute the NPMLE of Distribution Function from Doubly Censored Data, Plus the Empirical Likelihood Ratio for F(T)
Description:

Doubly censored data, as described in Chang and Yang (1987) <doi: 10.1214/aos/1176350608>), are commonly seen in many fields. We use EM algorithm to compute the non-parametric MLE (NPMLE) of the cummulative probability function/survival function and the two censoring distributions. One can also specify a constraint F(T)=C, it will return the constrained NPMLE and the -2 log empirical likelihood ratio for this constraint. This can be used to test the hypothesis about the constraint and, by inverting the test, find confidence intervals for probability or quantile via empirical likelihood ratio theorem. Influence functions of hat F may also be calculated, but currently, the it may be slow.

r-dyadicarma 1.0.1
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=DyadiCarma
Licenses: GPL 2+
Build system: r
Synopsis: Dyadic Matrices and their Algebra using 'Rcpp' and 'RcppArmadillo'
Description:

This package provides methods for efficient algebraic operations and factorization of dyadic matrices using Rcpp and RcppArmadillo'. The details of dyadic matrices and the corresponding methodology are described in Kos, M., Podgórski, K., and Wu, H. (2025) <doi:10.48550/arXiv.2505.08144>.

r-doremi 1.0.0
Propagated dependencies: r-zoo@1.8-14 r-lmertest@3.1-3 r-lme4@1.1-37 r-gridextra@2.3 r-ggplot2@4.0.1 r-futile-logger@1.4.3 r-desolve@1.40 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/dcourvoisier/doremi
Licenses: GPL 3
Build system: r
Synopsis: Dynamics of Return to Equilibrium During Multiple Inputs
Description:

This package provides models to fit the dynamics of a regulated system experiencing exogenous inputs. The underlying models use differential equations and linear mixed-effects regressions to estimate the coefficients of the equation. With them, the functions can provide an estimated signal. The package provides simulation and analysis functions and also print, summary, plot and predict methods, adapted to the function outputs, for easy implementation and presentation of results.

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-detect 0.5-1
Propagated dependencies: r-pbapply@1.7-4 r-matrix@1.7-4 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/psolymos/detect
Licenses: GPL 2
Build system: r
Synopsis: Analyzing Wildlife Data with Detection Error
Description:

Models for analyzing site occupancy and count data models with detection error, including single-visit based models (Lele et al. 2012 <doi:10.1093/jpe/rtr042>, Moreno et al. 2010 <doi:10.1890/09-1073.1>, Solymos et al. 2012 <doi:10.1002/env.1149>, Denes et al. 2016 <doi:10.1111/1365-2664.12818>), conditional distance sampling and time-removal models (QPAD) (Solymos et al. 2013 <doi:10.1111/2041-210X.12106>, Solymos et al. 2018 <doi:10.1650/CONDOR-18-32.1>), and single bin QPAD (SQPAD) models (Lele & Solymos 2025 <doi:10.1093/ornithapp/duaf078>). Package development was supported by the Alberta Biodiversity Monitoring Institute and the Boreal Avian Modelling Project.

r-datapack 1.4.2
Propagated dependencies: r-zip@2.3.3 r-xml@3.99-0.20 r-uuid@1.2-1 r-redland@1.0.17-18 r-fs@1.6.6 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://docs.ropensci.org/datapack/
Licenses: ASL 2.0
Build system: r
Synopsis: Flexible Container to Transport and Manipulate Data and Associated Resources
Description:

This package provides a flexible container to transport and manipulate complex sets of data. These data may consist of multiple data files and associated meta data and ancillary files. Individual data objects have associated system level meta data, and data files are linked together using the OAI-ORE standard resource map which describes the relationships between the files. The OAI- ORE standard is described at <https://www.openarchives.org/ore/>. Data packages can be serialized and transported as structured files that have been created following the BagIt specification. The BagIt specification is described at <https://datatracker.ietf.org/doc/html/draft-kunze-bagit-08>.

r-deliberr 0.1.0
Propagated dependencies: r-uuid@1.2-1 r-tidyr@1.3.1 r-tibble@3.3.0 r-shiny@1.11.1 r-rstatix@0.7.3 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-psych@2.5.6 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-glue@1.8.0 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/gumbelino/deliberr
Licenses: Expat
Build system: r
Synopsis: Methods for Deliberation Analysis
Description:

An implementation of deliberative reasoning index (DRI) and related tools for analysis of deliberation survey data. Calculation of DRI, plot of intersubjective correlations (IC), generation of large-language model (LLM) survey data, and permutation tests are supported. Example datasets and a graphical user interface (GUI) are also available to support analysis. For more information, see Niemeyer and Veri (2022) <doi:10.1093/oso/9780192848925.003.0007>.

r-diffmatchpatch 0.1.0
Propagated dependencies: r-rcpp@1.1.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/rundel/diffmatchpatch
Licenses: FSDG-compatible
Build system: r
Synopsis: String Diff, Match, and Patch Utilities
Description:

This package provides a wrapper for Google's diff-match-patch library. It provides basic tools for computing diffs, finding fuzzy matches, and constructing / applying patches to strings.

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-descriptivewh 1.0.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/William-HC/DescriptiveWH
Licenses: GPL 3
Build system: r
Synopsis: Descriptive Statistics
Description:

Exploratory analysis of a data base. Using the functions of this package is possible to filter the data set detecting atypical values (outliers) and to perform exploratory analysis through visual inspection or dispersion measures. With this package you can explore the structure of your data using several parameters at the same time joining statistical parameters with different graphics. Finally, this package aid to confirm or reject the hypothesis that your data structure presents a normal distribution. Therefore this package is useful to get a previous insight of your data before to carry out statistical analysis.

r-dragracer 0.1.7
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dragracer
Licenses: GPL 2
Build system: r
Synopsis: Data Sets for RuPaul's Drag Race
Description:

These are data sets for the hit TV show, RuPaul's Drag Race. Data right now include episode-level data, contestant-level data, and episode-contestant-level data. This is a work in progress, and a love letter of a kind to RuPaul's Drag Race and the performers that have appeared on the show. This may not be the most productive use of my time, but I have tenure and what are you going to do about it? I think there is at least some value in this package if it allows the show's fandom to learn more about the R programming language around its contents.

r-diemr 1.5.3
Propagated dependencies: r-zoo@1.8-14 r-vcfr@1.15.0 r-data-table@1.17.8 r-circlize@0.4.16
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://nmartinkova.github.io/genome-polarisation/
Licenses: GPL 3+
Build system: r
Synopsis: Genome Polarization via Diagnostic Index Expectation Maximization
Description:

This package implements a likelihood-based method for genome polarization, identifying which alleles of SNV markers belong to either side of a barrier to gene flow. The approach co-estimates individual assignment, barrier strength, and divergence between sides, with direct application to studies of hybridization. Includes VCF-to-diem conversion and input checks, support for mixed ploidy and parallelization, and tools for visualization and diagnostic outputs. Based on diagnostic index expectation maximization as described in Baird et al. (2023) <doi:10.1111/2041-210X.14010>.

r-decoder 1.2.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://www.bitbucket.com/cancercentrum/decoder
Licenses: GPL 2
Build system: r
Synopsis: Decode Coded Variables to Plain Text and the Other Way Around
Description:

Main function "decode" is used to decode coded key values to plain text. Function "code" can be used to code plain text to code if there is a 1:1 relation between the two. The concept relies on keyvalue objects used for translation. There are several keyvalue objects included in the areas of geographical regional codes, administrative health care unit codes, diagnosis codes and more. It is also easy to extend the use by arbitrary code sets.

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