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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-chi 0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/dkahle/chi
Licenses: GPL 2
Build system: r
Synopsis: The Chi Distribution
Description:

Light weight implementation of the standard distribution functions for the chi distribution, wrapping those for the chi-squared distribution in the stats package.

r-conformalforecast 0.1.1
Propagated dependencies: r-zoo@1.8-14 r-rlang@1.1.6 r-ggdist@3.3.3 r-forecast@8.24.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/xqnwang/conformalForecast
Licenses: GPL 3
Build system: r
Synopsis: Conformal Prediction Methods for Multistep-Ahead Time Series Forecasting
Description:

This package provides methods and tools for performing multistep-ahead time series forecasting using conformal prediction methods including classical conformal prediction, adaptive conformal prediction, conformal PID (Proportional-Integral-Derivative) control, and autocorrelated multistep-ahead conformal prediction. The methods were described by Wang and Hyndman (2024) <doi:10.48550/arXiv.2410.13115>.

r-crov 0.3.0
Propagated dependencies: r-vgam@1.1-13 r-gtools@3.9.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=crov
Licenses: GPL 2
Build system: r
Synopsis: Constrained Regression Model for an Ordinal Response and Ordinal Predictors
Description:

Fits a constrained regression model for an ordinal response with ordinal predictors and possibly others, Espinosa and Hennig (2019) <DOI:10.1007/s11222-018-9842-2>. The parameter estimates associated with an ordinal predictor are constrained to be monotonic. If a monotonicity direction (isotonic or antitonic) is not specified for an ordinal predictor by the user, then one of the available methods will either establish it or drop the monotonicity assumption. Two monotonicity tests are also available to test the null hypothesis of monotonicity over a set of parameters associated with an ordinal predictor.

r-cschange 0.1.7
Propagated dependencies: r-survival@3.8-3 r-rms@8.1-0 r-hmisc@5.2-4 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=CsChange
Licenses: GPL 3
Build system: r
Synopsis: Testing for Change in C-Statistic
Description:

Calculate the confidence interval and p value for change in C-statistic. The adjusted C-statistic is calculated by using formula as "Somers Dxy rank correlation"/2+0.5. The confidence interval was calculated by using the bootstrap method. The p value was calculated by using the Z testing method. Please refer to the article of Peter Ganz et al. (2016) <doi:10.1001/jama.2016.5951>.

r-contingencytables 3.1.0
Propagated dependencies: r-mass@7.3-65 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=contingencytables
Licenses: GPL 3
Build system: r
Synopsis: Statistical Analysis of Contingency Tables
Description:

This package provides functions to perform statistical inference of data organized in contingency tables. This package is a companion to the "Statistical Analysis of Contingency Tables" book by Fagerland et al. <ISBN 9781466588172>.

r-cope 0.2.3
Propagated dependencies: r-nlme@3.1-168 r-mvtnorm@1.3-3 r-matrix@1.7-4 r-mass@7.3-65 r-maps@3.4.3 r-fields@17.1 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cope
Licenses: GPL 2
Build system: r
Synopsis: Coverage Probability Excursion (CoPE) Sets
Description:

This package provides functions to compute and plot Coverage Probability Excursion (CoPE) sets for real valued functions on a 2-dimensional domain. CoPE sets are obtained from repeated noisy observations of the function on the entire domain. They are designed to bound the excursion set of the target function at a given level from above and below with a predefined probability. The target function can be a parameter in spatially-indexed linear regression. Support by NIH grant R01 CA157528 is gratefully acknowledged.

r-calango 1.0.20
Propagated dependencies: r-rmarkdown@2.30 r-plotly@4.11.0 r-pkgdown@2.2.0 r-pbmcapply@1.5.1 r-nlme@3.1-168 r-knitr@1.50 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-heatmaply@1.6.0 r-ggplot2@4.0.1 r-dt@0.34.0 r-dendextend@1.19.1 r-biocmanager@1.30.27 r-assertthat@0.2.1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://labpackages.github.io/CALANGO/
Licenses: GPL 2
Build system: r
Synopsis: Comparative Analysis with Annotation-Based Genomic Components
Description:

This package provides a first-principle, phylogeny-aware comparative genomics tool for investigating associations between terms used to annotate genomic components (e.g., Pfam IDs, Gene Ontology terms,) with quantitative or rank variables such as number of cell types, genome size, or density of specific genomic elements. See the project website for more information, documentation and examples, and <doi:10.1016/j.patter.2023.100728> for the full paper.

r-cowsay 1.2.2
Propagated dependencies: r-rlang@1.1.6 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/sckott/cowsay
Licenses: Expat
Build system: r
Synopsis: Messages, Warnings, Strings with Ascii Animals
Description:

Allows printing of character strings as messages/warnings/etc. with ASCII animals, including cats, cows, frogs, chickens, ghosts, and more.

r-clustgeo 2.1
Propagated dependencies: r-spdep@1.4-1 r-sp@2.2-0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ClustGeo
Licenses: GPL 2+
Build system: r
Synopsis: Hierarchical Clustering with Spatial Constraints
Description:

This package implements a Ward-like hierarchical clustering algorithm including soft spatial/geographical constraints.

r-ciu 0.8
Propagated dependencies: r-rcpp@1.1.0 r-ggplot2@4.0.1 r-ggbeeswarm@0.7.2 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ciu
Licenses: Expat
Build system: r
Synopsis: Contextual Importance and Utility
Description:

Implementation of the Contextual Importance and Utility (CIU) concepts for Explainable AI (XAI). A description of CIU can be found in e.g. Främling (2020) <doi:10.1007/978-3-030-51924-7_4>.

r-causalreg 0.1.2
Propagated dependencies: r-mgcv@1.9-4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=causalreg
Licenses: GPL 3
Build system: r
Synopsis: Causal Generalized Linear Models
Description:

An implementation of methods for causal discovery in a structural causal model where the conditional distribution of the target node is described by a generalized linear model conditional on its causal parents.

r-coxrobust 1.0.2
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/c.scm (guix-cran packages c)
Home page: https://github.com/ShanaScogin/coxrobust
Licenses: GPL 3
Build system: r
Synopsis: Fit Robustly Proportional Hazards Regression Model
Description:

An implementation of robust estimation in Cox model. Functionality includes fitting efficiently and robustly Cox proportional hazards regression model in its basic form, where explanatory variables are time independent with one event per subject. Method is based on a smooth modification of the partial likelihood.

r-cpd 0.3.3
Propagated dependencies: r-rdpack@2.6.4 r-hypergeo@1.2-14 r-dgof@1.5.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cpd
Licenses: GPL 2+
Build system: r
Synopsis: Complex Pearson Distributions
Description:

Probability mass function, distribution function, quantile function and random generation for the Complex Triparametric Pearson (CTP) and Complex Biparametric Pearson (CBP) distributions developed by Rodriguez-Avi et al (2003) <doi:10.1007/s00362-002-0134-7>, Rodriguez-Avi et al (2004) <doi:10.1007/BF02778271> and Olmo-Jimenez et al (2018) <doi:10.1080/00949655.2018.1482897>. The package also contains maximum-likelihood fitting functions for these models.

r-cosimmr 1.0.12
Propagated dependencies: r-viridis@0.6.5 r-reshape2@1.4.5 r-rcppdist@0.1.1.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-r2jags@0.8-9 r-ggplot2@4.0.1 r-ggnewscale@0.5.2 r-checkmate@2.3.3 r-bayesplot@1.14.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/emmagovan/cosimmr
Licenses: GPL 2+
Build system: r
Synopsis: Fast Fitting of Stable Isotope Mixing Models with Covariates
Description:

Fast fitting of Stable Isotope Mixing Models in R. Allows for the inclusion of covariates. Also has built-in summary functions and plot functions which allow for the creation of isospace plots. Variational Bayes is used to fit these models, methods as described in: Tran et al., (2021) <doi:10.48550/arXiv.2103.01327>.

r-changer 0.0.5
Propagated dependencies: r-git2r@0.36.2 r-devtools@2.4.6 r-available@1.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/helske/changer
Licenses: GPL 2+
Build system: r
Synopsis: Change R Package Name
Description:

Changing the name of an existing R package is annoying but common task especially in the early stages of package development. This package (mostly) automates this task.

r-conjurer 1.7.1
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://www.foyi.co.nz/posts/documentation/documentationconjurer/
Licenses: Expat
Build system: r
Synopsis: Parametric Method for Generating Synthetic Data
Description:

Generates synthetic data distributions to enable testing various modelling techniques in ways that real data does not allow. Noise can be added in a controlled manner such that the data seems real. This methodology is generic and therefore benefits both the academic and industrial research.

r-cnvscope 3.7.2
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-shiny@1.11.1 r-rtracklayer@1.70.0 r-reshape2@1.4.5 r-rcurl@1.98-1.17 r-plyr@1.8.9 r-openimager@1.3.0 r-matrixstats@1.5.0 r-matrix@1.7-4 r-magrittr@2.0.4 r-jointseg@1.0.3 r-hmisc@5.2-4 r-ggplot2@4.0.1 r-genomicinteractions@1.44.0 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17 r-data-table@1.17.8 r-biomart@2.66.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/jamesdalg/CNVScope/
Licenses: Modified BSD
Build system: r
Synopsis: Versatile Toolkit for Copy Number Variation Relationship Data Analysis and Visualization
Description:

This package provides the ability to create interaction maps, discover CNV map domains (edges), gene annotate interactions, and create interactive visualizations of these CNV interaction maps.

r-convergenceconcepts 1.2.3
Propagated dependencies: r-tkrplot@0.0-30 r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ConvergenceConcepts
Licenses: GPL 2+
Build system: r
Synopsis: Seeing Convergence Concepts in Action
Description:

This is a pedagogical package, designed to help students understanding convergence of random variables. It provides a way to investigate interactively various modes of convergence (in probability, almost surely, in law and in mean) of a sequence of i.i.d. random variables. Visualisation of simulated sample paths is possible through interactive plots. The approach is illustrated by examples and exercises through the function investigate', as described in Lafaye de Micheaux and Liquet (2009) <doi:10.1198/tas.2009.0032>. The user can study his/her own sequences of random variables.

r-cml 0.3.1
Propagated dependencies: r-vegan@2.7-2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cml
Licenses: GPL 3
Build system: r
Synopsis: Conditional Manifold Learning
Description:

Finds a low-dimensional embedding of high-dimensional data, conditioning on available manifold information.

r-coconots 2.0.2
Propagated dependencies: r-rcpp@1.1.0 r-numderiv@2016.8-1.1 r-matrixstats@1.5.0 r-juliaconnector@1.1.5 r-hmmpa@1.0.2 r-ggplot2@4.0.1 r-forecast@8.24.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=coconots
Licenses: Expat
Build system: r
Synopsis: Convolution-Closed Models for Count Time Series
Description:

Useful tools for fitting, validating, and forecasting of practical convolution-closed time series models for low counts are provided. Marginal distributions of the data can be modelled via Poisson and Generalized Poisson innovations. Regression effects can be incorporated through time varying innovation rates. The models are described in Jung and Tremayne (2011) <doi:10.1111/j.1467-9892.2010.00697.x> and the model assessment tools are presented in Czado et al. (2009) <doi:10.1111/j.1541-0420.2009.01191.x> and, Tsay (1992) <doi:10.2307/2347612>.

r-coortweet 2.1.2
Propagated dependencies: r-tidytable@0.11.2 r-stringi@1.8.7 r-rcppsimdjson@0.1.15 r-lubridate@1.9.4 r-igraph@2.2.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/nicolarighetti/CooRTweet
Licenses: Expat
Build system: r
Synopsis: Coordinated Networks Detection on Social Media
Description:

Detects a variety of coordinated actions on social media and outputs the network of coordinated users along with related information.

r-cdss 0.3-0
Propagated dependencies: r-readods@2.3.2 r-openxlsx@4.2.8.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CDSS
Licenses: GPL 3
Build system: r
Synopsis: Course-Dependent Skill Structures
Description:

Deriving skill structures from skill assignment data for courses (sets of learning objects).

r-calibrationband 0.2.1
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-sp@2.2-0 r-rlang@1.1.6 r-rcpp@1.1.0 r-magrittr@2.0.4 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://github.com/marius-cp/calibrationband
Licenses: GPL 3
Build system: r
Synopsis: Calibration Bands
Description:

Package to assess the calibration of probabilistic classifiers using confidence bands for monotonic functions. Besides testing the classical goodness-of-fit null hypothesis of perfect calibration, the confidence bands calculated within that package facilitate inverted goodness-of-fit tests whose rejection allows for a sought-after conclusion of a sufficiently well-calibrated model. The package creates flexible graphical tools to perform these tests. For construction details see also Dimitriadis, Dümbgen, Henzi, Puke, Ziegel (2022) <arXiv:2203.04065>.

r-chunked 0.6.2
Propagated dependencies: r-rlang@1.1.6 r-progress@1.2.3 r-laf@0.8.6 r-dplyr@1.1.4 r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/edwindj/chunked
Licenses: GPL 2
Build system: r
Synopsis: Chunkwise Text-File Processing for 'dplyr'
Description:

Data stored in text file can be processed chunkwise using dplyr commands. These are recorded and executed per data chunk, so large files can be processed with limited memory using the LaF package.

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