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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-chyper 0.3.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=chyper
Licenses: Expat
Build system: r
Synopsis: Functions for Conditional Hypergeometric Distributions
Description:

An implementation of the probability mass function, cumulative density function, quantile function, random number generator, maximum likelihood estimator, and p-value generator from a conditional hypergeometric distribution: the distribution of how many items are in the overlap of all samples when samples of arbitrary size are each taken without replacement from populations of arbitrary size.

r-caretforecast 0.1.3
Propagated dependencies: r-magrittr@2.0.4 r-generics@0.1.4 r-forecast@8.24.0 r-dplyr@1.1.4 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://taf-society.github.io/caretForecast/
Licenses: GPL 3+
Build system: r
Synopsis: Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
Description:

Conformal time series forecasting using the caret infrastructure. It provides access to state-of-the-art machine learning models for forecasting applications. The hyperparameter of each model is selected based on time series cross-validation, and forecasting is done recursively.

r-centrifuger 0.1.7
Propagated dependencies: r-shinythemes@1.2.0 r-shiny@1.11.1 r-pracma@2.4.6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://phamdn.shinyapps.io/centrifugeR/
Licenses: GPL 3
Build system: r
Synopsis: Non-Trivial Balance of Centrifuge Rotors
Description:

Find the numbers of test tubes that can be balanced in centrifuge rotors and show various ways to load them. Refer to Pham (2020) <doi:10.31224/osf.io/4xs38> for more information on package functionality.

r-caesar 1.1.0
Propagated dependencies: r-binhf@1.0-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/jacobkap/caesar
Licenses: Expat
Build system: r
Synopsis: Encrypts and Decrypts Strings
Description:

Encrypts and decrypts strings using either the Caesar cipher or a pseudorandom number generation (using set.seed()) method.

r-conleyreg 0.1.9
Propagated dependencies: r-sf@1.0-23 r-s2@1.1.9 r-rdpack@2.6.4 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-lwgeom@0.2-14 r-lmtest@0.9-40 r-foreach@1.5.2 r-fixest@0.13.2 r-doparallel@1.0.17 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/cdueben/conleyreg
Licenses: Expat
Build system: r
Synopsis: Estimations using Conley Standard Errors
Description:

This package provides functions calculating Conley (1999) <doi:10.1016/S0304-4076(98)00084-0> standard errors. The package started by merging and extending multiple packages and other published scripts on this econometric technique. It strongly emphasizes computational optimization. Details are available in the function documentation and in the vignette.

r-cdf 0.1.0
Propagated dependencies: r-matrixstats@1.5.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CDF
Licenses: Expat
Build system: r
Synopsis: Centroid Decision Forest for High-Dimensional Classification
Description:

This package implements the Centroid Decision Forest (CDF) as a single user-facing function CDF(). The method selects discriminative features via a multi-class class separability score (CSS), splits by nearest class centroid, and aggregates tree votes to produce predictions and class probabilities. Returns CSS-based feature importance as well. Amjad Ali, Saeed Aldahmani, Zardad Khan (2025) <doi:10.48550/arXiv.2503.19306>.

r-clustergvis 0.1.4
Propagated dependencies: r-tibble@3.3.0 r-singlecellexperiment@1.32.0 r-scales@1.4.0 r-reshape2@1.4.5 r-purrr@1.2.0 r-matrix@1.7-4 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-factoextra@1.0.7 r-e1071@1.7-16 r-dplyr@1.1.4 r-colorramps@2.3.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/junjunlab/ClusterGVis/
Licenses: Expat
Build system: r
Synopsis: One-Step to Cluster and Visualize Gene Expression Data
Description:

Streamlining the clustering and visualization of time-series gene expression data from RNA-Seq experiments, this tool supports fuzzy c-means and k-means clustering algorithms. It is compatible with outputs from widely-used packages such as Seurat', Monocle', and WGCNA', enabling seamless downstream visualization and analysis. See Lokesh Kumar and Matthias E Futschik (2007) <doi:10.6026/97320630002005> for more details.

r-cnid 2.1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/chuxinyuan/cnid
Licenses: Expat
Build system: r
Synopsis: Get Basic Information from Chinese ID Number
Description:

The Chinese ID number contains a lot of information, this package helps you get the region, date of birth, age, age based on year, gender, zodiac, constellation information from the Chinese ID number.

r-colt 0.1.1
Propagated dependencies: r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/s-fleck/colt
Licenses: Expat
Build system: r
Synopsis: Command-Line Color Themes
Description:

This package provides a collection of command-line color styles based on the crayon package. Colt styles are defined in themes that can easily be switched, to ensure command line output looks nice on dark as well as light consoles.

r-cr2 0.2.1
Propagated dependencies: r-tibble@3.3.0 r-performance@0.15.2 r-nlme@3.1-168 r-matrix@1.7-4 r-magrittr@2.0.4 r-lme4@1.1-37 r-generics@0.1.4 r-dplyr@1.1.4 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/flh3/CR2
Licenses: Expat
Build system: r
Synopsis: Compute Cluster Robust Standard Errors with Degrees of Freedom Adjustments
Description:

Estimate different types of cluster robust standard errors (CR0, CR1, CR2) with degrees of freedom adjustments. Standard errors are computed based on Liang and Zeger (1986) <doi:10.1093/biomet/73.1.13> and Bell and McCaffrey <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2002002/article/9058-eng.pdf?st=NxMjN1YZ>. Functions used in Huang and Li <doi:10.3758/s13428-021-01627-0>, Huang, Wiedermann', and Zhang <doi:10.1080/00273171.2022.2077290>, and Huang, Zhang', and Li (forthcoming: Journal of Research on Educational Effectiveness).

r-cyphr 1.1.7
Propagated dependencies: r-sodium@1.4.0 r-openssl@2.3.4 r-getpass@0.2-4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/ropensci/cyphr
Licenses: Expat
Build system: r
Synopsis: High Level Encryption Wrappers
Description:

Encryption wrappers, using low-level support from sodium and openssl'. cyphr tries to smooth over some pain points when using encryption within applications and data analysis by wrapping around differences in function names and arguments in different encryption providing packages. It also provides high-level wrappers for input/output functions for seamlessly adding encryption to existing analyses.

r-corelearn 1.57.3.1
Propagated dependencies: r-rpart-plot@3.1.4 r-plotrix@3.8-13 r-nnet@7.3-20 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: http://lkm.fri.uni-lj.si/rmarko/software/
Licenses: GPL 3
Build system: r
Synopsis: Classification, Regression and Feature Evaluation
Description:

This package provides a suite of machine learning algorithms written in C++ with the R interface contains several learning techniques for classification and regression. Predictive models include e.g., classification and regression trees with optional constructive induction and models in the leaves, random forests, kNN, naive Bayes, and locally weighted regression. All predictions obtained with these models can be explained and visualized with the ExplainPrediction package. This package is especially strong in feature evaluation where it contains several variants of Relief algorithm and many impurity based attribute evaluation functions, e.g., Gini, information gain, MDL, and DKM. These methods can be used for feature selection or discretization of numeric attributes. The OrdEval algorithm and its visualization is used for evaluation of data sets with ordinal features and class, enabling analysis according to the Kano model of customer satisfaction. Several algorithms support parallel multithreaded execution via OpenMP. The top-level documentation is reachable through ?CORElearn.

r-chevron 0.2.12
Propagated dependencies: r-tibble@3.3.0 r-tern@0.9.10 r-stringr@1.6.0 r-rtables@0.6.15 r-rlistings@0.2.13 r-rlang@1.1.6 r-purrr@1.2.0 r-nestcolor@0.1.3 r-magrittr@2.0.4 r-lubridate@1.9.4 r-lifecycle@1.0.4 r-glue@1.8.0 r-ggplot2@4.0.1 r-formatters@0.5.12 r-forcats@1.0.1 r-dunlin@0.1.12 r-dplyr@1.1.4 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://insightsengineering.github.io/chevron/
Licenses: ASL 2.0
Build system: r
Synopsis: Standard TLGs for Clinical Trials Reporting
Description:

Provide standard tables, listings, and graphs (TLGs) libraries used in clinical trials. This package implements a structure to reformat the data with dunlin', create reporting tables using rtables and tern with standardized input arguments to enable quick generation of standard outputs. In addition, it also provides comprehensive data checks and script generation functionality.

r-complexity 1.1.2
Propagated dependencies: r-shiny@1.11.1 r-combinat@0.0-8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=complexity
Licenses: GPL 2+
Build system: r
Synopsis: Calculate the Proportion of Permutations in Line with an Informative Hypothesis
Description:

Allows for the easy computation of complexity: the proportion of the parameter space in line with the hypothesis by chance. The package comes with a Shiny application in which the calculations can be conducted as well.

r-conigrave 0.4.4
Propagated dependencies: r-stringr@1.6.0 r-stringdist@0.9.15 r-ppcor@1.1 r-mitools@2.4 r-miceadds@3.18-36 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=Conigrave
Licenses: GPL 3
Build system: r
Synopsis: Flexible Tools for Multiple Imputation
Description:

This package provides a set of tools that can be used across data.frame and imputationList objects.

r-cocorresp 0.4-6
Propagated dependencies: r-vegan@2.7-2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://gavinsimpson.github.io/cocorresp/
Licenses: GPL 2
Build system: r
Synopsis: Co-Correspondence Analysis Methods
Description:

Fits predictive and symmetric co-correspondence analysis (CoCA) models to relate one data matrix to another data matrix. More specifically, CoCA maximises the weighted covariance between the weighted averaged species scores of one community and the weighted averaged species scores of another community. CoCA attempts to find patterns that are common to both communities.

r-clampseg 1.2-0
Propagated dependencies: r-stepr@2.1-10 r-lowpassfilter@1.0-2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=clampSeg
Licenses: GPL 3
Build system: r
Synopsis: Idealisation of Patch Clamp Recordings
Description:

This package implements the model-free multiscale idealisation approaches: Jump-Segmentation by MUltiResolution Filter (JSMURF), Hotz et al. (2013) <doi:10.1109/TNB.2013.2284063>, JUmp Local dEconvolution Segmentation filter (JULES), Pein et al. (2018) <doi:10.1109/TNB.2018.2845126>, and Heterogeneous Idealization by Local testing and DEconvolution (HILDE), Pein et al. (2021) <doi:10.1109/TNB.2020.3031202>. Further details on how to use them are given in the accompanying vignette.

r-cramer 0.9-4
Propagated dependencies: r-rcpp@1.1.0 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cramer
Licenses: GPL 2+
Build system: r
Synopsis: Multivariate Nonparametric Cramer-Test for the Two-Sample-Problem
Description:

This package provides R routine for the so called two-sample Cramer-Test. This nonparametric two-sample-test on equality of the underlying distributions can be applied to multivariate data as well as univariate data. It offers two possibilities to approximate the critical value both of which are included in this package.

r-coroica 1.0.2
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/sweichwald/coroICA-R
Licenses: AGPL 3
Build system: r
Synopsis: Confounding Robust Independent Component Analysis for Noisy and Grouped Data
Description:

This package contains an implementation of a confounding robust independent component analysis (ICA) for noisy and grouped data. The main function coroICA() performs a blind source separation, by maximizing an independence across sources and allows to adjust for varying confounding based on user-specified groups. Additionally, the package contains the function uwedge() which can be used to approximately jointly diagonalize a list of matrices. For more details see the project website <https://sweichwald.de/coroICA/>.

r-chromseq 0.1.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/MSQ-123/chromseq
Licenses: Artistic License 2.0
Build system: r
Synopsis: Split Chromosome 'Fasta' File
Description:

Chromosome files in the Fasta format usually contain large sequences like human genome. Sometimes users have to split these chromosomes into different files according to their chromosome number. The chromseq can help to handle this. So the selected chromosome sequence can be used for downstream analysis like motif finding. Howard Y. Chang(2019) <doi:10.1038/s41587-019-0206-z>.

r-clustimpute 0.2.4
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-magrittr@2.0.4 r-knitr@1.50 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-copula@1.1-6 r-clusterr@1.3.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ClustImpute
Licenses: GPL 3
Build system: r
Synopsis: K-Means Clustering with Build-in Missing Data Imputation
Description:

This k-means algorithm is able to cluster data with missing values and as a by-product completes the data set. The implementation can deal with missing values in multiple variables and is computationally efficient since it iteratively uses the current cluster assignment to define a plausible distribution for missing value imputation. Weights are used to shrink early random draws for missing values (i.e., draws based on the cluster assignments after few iterations) towards the global mean of each feature. This shrinkage slowly fades out after a fixed number of iterations to reflect the increasing credibility of cluster assignments. See the vignette for details.

r-ctshiny2 0.1.0
Propagated dependencies: r-shiny@1.11.1 r-rpart-plot@3.1.4 r-rpart@4.1.24 r-rmarkdown@2.30 r-rhandsontable@0.3.8 r-party@1.3-18 r-e1071@1.7-16 r-dplyr@1.1.4 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CTShiny2
Licenses: GPL 2
Build system: r
Synopsis: Interactive Document for Working with Classification Tree Analysis
Description:

An interactive document on the topic of classification tree analysis using rmarkdown and shiny packages. Runtime examples are provided in the package function as well as at <https://kartikeyab.shinyapps.io/CTShiny/>.

r-clust-bin-pair 0.1.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/dgopstein/clust.bin.pair
Licenses: Expat
Build system: r
Synopsis: Statistical Methods for Analyzing Clustered Matched Pair Data
Description:

Tests, utilities, and case studies for analyzing significance in clustered binary matched-pair data. The central function clust.bin.pair uses one of several tests to calculate a Chi-square statistic. Implemented are the tests Eliasziw (1991) <doi:10.1002/sim.4780101211>, Obuchowski (1998) <doi:10.1002/(SICI)1097-0258(19980715)17:13%3C1495::AID-SIM863%3E3.0.CO;2-I>, Durkalski (2003) <doi:10.1002/sim.1438>, and Yang (2010) <doi:10.1002/bimj.201000035> with McNemar (1947) <doi:10.1007/BF02295996> included for comparison. The utility functions nested.to.contingency and paired.to.contingency convert data between various useful formats. Thyroids and psychiatry are the canonical datasets from Obuchowski and Petryshen (1989) <doi:10.1016/0165-1781(89)90196-0> respectively.

r-cumprinc 0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cumprinc
Licenses: GPL 2+
Build system: r
Synopsis: Functions Centered Around Microsoft Excel Cumprinc Function
Description:

This package provides similar functionality to Microsoft Excel CUMPRINC function <https://support.microsoft.com/en-us/office/cumprinc-function-94a4516d-bd65-41a1-bc16-053a6af4c04d>. Returns principal remaining at a given month, principal paid in a month, and accumulated principal paid at a given month based on original loan amount, monthly interest rate, and term of loan.

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Total results: 68655