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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-caiser 1.0.17
Propagated dependencies: r-pbmcapply@1.5.1 r-gridextra@2.3 r-ggplot2@4.0.1 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://fcampelo.github.io/CAISEr/
Licenses: GPL 2
Build system: r
Synopsis: Comparison of Algorithms with Iterative Sample Size Estimation
Description:

This package provides functions for performing experimental comparisons of algorithms using adequate sample sizes for power and accuracy. Implements the methodology originally presented in Campelo and Takahashi (2019) <doi:10.1007/s10732-018-9396-7> for the comparison of two algorithms, and later generalised in Campelo and Wanner (Submitted, 2019) <arxiv:1908.01720>.

r-copulareg 0.1.0
Propagated dependencies: r-rvinecopulib@0.7.3.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=copulareg
Licenses: FSDG-compatible
Build system: r
Synopsis: Copula Regression
Description:

Fits multivariate models in an R-vine pair copula construction framework, in such a way that the conditional copula can be easily evaluated. In addition, the package implements functionality to compute or approximate the conditional expectation via the conditional copula.

r-cinna 1.2.2
Propagated dependencies: r-viridis@0.6.5 r-sna@2.8 r-rtsne@0.17 r-plyr@1.8.9 r-pheatmap@1.0.13 r-network@1.19.0 r-intergraph@2.0-4 r-igraph@2.2.1 r-ggplot2@4.0.1 r-ggally@2.4.0 r-factominer@2.12 r-factoextra@1.0.7 r-dendextend@1.19.1 r-corrplot@0.95 r-circlize@0.4.16 r-centiserve@1.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CINNA
Licenses: GPL 3
Build system: r
Synopsis: Deciphering Central Informative Nodes in Network Analysis
Description:

Computing, comparing, and demonstrating top informative centrality measures within a network. "CINNA: an R/CRAN package to decipher Central Informative Nodes in Network Analysis" provides a comprehensive overview of the package functionality Ashtiani et al. (2018) <doi:10.1093/bioinformatics/bty819>.

r-comprehenr 0.6.10
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/gdemin/comprehenr
Licenses: GPL 2
Build system: r
Synopsis: List Comprehensions
Description:

This package provides Python'-style list comprehensions. List comprehension expressions use usual loops (for(), while() and repeat()) and usual if() as list producers. In many cases it gives more concise notation than standard "*apply + filter" strategy.

r-cols 1.5
Propagated dependencies: r-rfast2@0.1.5.6 r-rfast@2.1.5.2 r-quadprog@1.5-8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cols
Licenses: GPL 2+
Build system: r
Synopsis: Constrained Ordinary Least Squares
Description:

Constrained ordinary least squares is performed. One constraint is that all beta coefficients (including the constant) cannot be negative. They can be either 0 or strictly positive. Another constraint is that the sum of the beta coefficients equals a constant. References: Hansen, B. E. (2022). Econometrics, Princeton University Press. <ISBN:9780691235899>.

r-cobiclust 0.1.2
Propagated dependencies: r-testthat@3.3.0 r-cluster@2.1.8.1 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/julieaubert/cobiclust
Licenses: GPL 3
Build system: r
Synopsis: Biclustering via Latent Block Model Adapted to Overdispersed Count Data
Description:

Implementation of a probabilistic method for biclustering adapted to overdispersed count data. It is a Gamma-Poisson Latent Block Model. It also implements two selection criteria in order to select the number of biclusters.

r-countdata 1.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=countdata
Licenses: Modified BSD
Build system: r
Synopsis: The Beta-Binomial Test for Count Data
Description:

The beta-binomial test is used for significance analysis of independent samples by Pham et al. (2010) <doi:10.1093/bioinformatics/btp677>. The inverted beta-binomial test is used for paired sample testing, e.g. pre-treatment and post-treatment data, by Pham and Jimenez (2012) <doi:10.1093/bioinformatics/bts394>.

r-changepoint-np 1.0.5
Propagated dependencies: r-zoo@1.8-14 r-rdpack@2.6.4 r-changepoint@2.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=changepoint.np
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Methods for Nonparametric Changepoint Detection
Description:

This package implements the multiple changepoint algorithm PELT with a nonparametric cost function based on the empirical distribution of the data. This package extends the changepoint package (see Killick, R and Eckley, I (2014) <doi:10.18637/jss.v058.i03> ).

r-cifmodeling 0.9.8
Propagated dependencies: r-scales@1.4.0 r-rcpp@1.1.0 r-patchwork@1.3.2 r-nleqslv@3.3.5 r-lifecycle@1.0.4 r-ggsurvfit@1.2.0 r-ggplot2@4.0.1 r-generics@0.1.4 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://gestimation.github.io/cifmodeling/
Licenses: Expat
Build system: r
Synopsis: Visualization and Polytomous Modeling of Survival and Competing Risks
Description:

This package provides a publication-ready toolkit for modern survival and competing risks analysis with a minimal, formula-based interface. Both nonparametric estimation and direct polytomous regression of cumulative incidence functions (CIFs) are supported. The main functions cifcurve()', cifplot()', and cifpanel() estimate survival and CIF curves and produce high-quality graphics with risk tables, censoring and competing-risk marks, and multi-panel or inset layouts built on ggplot2 and ggsurvfit'. The modeling function polyreg() performs direct polytomous regression for coherent joint modeling of all cause-specific CIFs to estimate risk ratios, odds ratios, or subdistribution hazard ratios at user-specified time points. All core functions adopt a formula-and-data syntax and return tidy and extensible outputs that integrate smoothly with modelsummary', broom', and the broader tidyverse ecosystem. Key numerical routines are implemented in C++ via Rcpp'.

r-codelist 0.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=codelist
Licenses: GPL 3
Build system: r
Synopsis: Working with Code Lists
Description:

This package provides functions for working with code lists and vectors with codes. These are an alternative for factor that keep track of both the codes and labels. Methods allow for transforming between codes and labels. Also supports hierarchical code lists.

r-cranlogs 2.1.1
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://github.com/r-hub/cranlogs
Licenses: Expat
Build system: r
Synopsis: Download Logs from the 'RStudio' 'CRAN' Mirror
Description:

API to the database of CRAN package downloads from the RStudio CRAN mirror'. The database itself is at <http://cranlogs.r-pkg.org>, see <https://github.com/r-hub/cranlogs.app> for the raw API'.

r-cicalc 0.2.0
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-purrr@1.2.0 r-glue@1.8.0 r-forcats@1.0.1 r-dplyr@1.1.4 r-cli@3.6.5 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://gsk-biostatistics.github.io/cicalc/
Licenses: FSDG-compatible
Build system: r
Synopsis: Calculate Confidence Intervals
Description:

This calculates a variety of different CIs for proportions and difference of proportions that are commonly used in the pharmaceutical industry including Wald, Wilson, Clopper-Pearson, Agresti-Coull and Jeffreys for proportions. And Miettinen-Nurminen (1985) <doi:10.1002/sim.4780040211>, Wald, Haldane, and Mee <https://www.lexjansen.com/wuss/2016/127_Final_Paper_PDF.pdf> for difference in proportions.

r-causaldata 0.1.4
Propagated dependencies: r-tibble@3.3.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/NickCH-K/causaldata
Licenses: Expat
Build system: r
Synopsis: Example Data Sets for Causal Inference Textbooks
Description:

Example data sets to run the example problems from causal inference textbooks. Currently, contains data sets for Huntington-Klein, Nick (2021 and 2025) "The Effect" <https://theeffectbook.net>, first and second edition, Cunningham, Scott (2021 and 2025, ISBN-13: 978-0-300-25168-5) "Causal Inference: The Mixtape", and Hernán, Miguel and James Robins (2020) "Causal Inference: What If" <https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/>.

r-covid19srilanka 1.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=covid19srilanka
Licenses: Expat
Build system: r
Synopsis: The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data in Sri Lanka
Description:

This package provides a daily counts of the Coronavirus (COVID19) cases by districts and country. Data source: Epidemiological Unit, Ministry of Health, Sri Lanka <https://www.epid.gov.lk/web/>.

r-crmpack 2.1.0
Propagated dependencies: r-tidyselect@1.2.1 r-tibble@3.3.0 r-survival@3.8-3 r-rlang@1.1.6 r-rjags@4-17 r-rdpack@2.6.4 r-parallelly@1.45.1 r-mvtnorm@1.3-3 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-knitr@1.50 r-kableextra@1.4.0 r-gridextra@2.3 r-ggplot2@4.0.1 r-gensa@1.1.15 r-futile-logger@1.4.3 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://github.com/openpharma/crmPack
Licenses: GPL 2+
Build system: r
Synopsis: Object-Oriented Implementation of Dose Escalation Designs
Description:

This package implements a wide range of dose escalation designs. The focus is on model-based designs, ranging from classical and modern continual reassessment methods (CRMs) based on dose-limiting toxicity endpoints to dual-endpoint designs taking into account a biomarker/efficacy outcome. Bayesian inference is performed via MCMC sampling in JAGS, and it is easy to setup a new design with custom JAGS code. However, it is also possible to implement 3+3 designs for comparison or models with non-Bayesian estimation. The whole package is written in a modular form in the S4 class system, making it very flexible for adaptation to new models, escalation or stopping rules. Further details are presented in Sabanés Bové et al. (2019) <doi:10.18637/jss.v089.i10>.

r-calcal 1.0.4
Propagated dependencies: r-vctrs@0.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://pkg.robjhyndman.com/calcal/
Licenses: FSDG-compatible
Build system: r
Synopsis: Calendrical Calculations
Description:

An R implementation of the algorithms described in Reingold and Dershowitz (4th ed., Cambridge University Press, 2018) <doi:10.1017/9781107415058>, allowing conversion between many different calendar systems. Cultural and religious holidays from several calendars can be calculated.

r-cmars 0.1.4
Propagated dependencies: r-stringr@1.6.0 r-ryacas@1.1.6 r-rocr@1.0-11 r-rmosek@1.3.5 r-mpv@2.0 r-matrix@1.7-4 r-earth@5.3.4 r-auc@0.3.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cmaRs
Licenses: GPL 2+
Build system: r
Synopsis: Implementation of the Conic Multivariate Adaptive Regression Splines in R
Description:

An implementation of Conic Multivariate Adaptive Regression Splines (CMARS) in R. See Weber et al. (2011) CMARS: a new contribution to nonparametric regression with multivariate adaptive regression splines supported by continuous optimization, <DOI:10.1080/17415977.2011.624770>. It constructs models by using the terms obtained from the forward step of MARS and then estimates parameters by using Tikhonov regularization and conic quadratic optimization. It is possible to construct models for prediction and binary classification. It provides performance measures for the model developed. The package needs the optimisation software MOSEK <https://www.mosek.com/> to construct the models. Please follow the instructions in Rmosek for the installation.

r-crossurr 1.1.2
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-superlearner@2.0-29 r-sis@0.8-8 r-rlang@1.1.6 r-rcal@2.0 r-ranger@0.17.0 r-purrr@1.2.0 r-pbapply@1.7-4 r-glue@1.8.0 r-glmnet@4.1-10 r-gbm@2.2.2 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=crossurr
Licenses: Expat
Build system: r
Synopsis: Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Description:

Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebaut R & Parast L (2022). "Doubly robust evaluation of high-dimensional surrogate markers", Biostatistics <doi:10.1093/biostatistics/kxac020>. You can use these methods to determine how much of the overall treatment effect is explained by a (possibly high-dimensional) set of surrogate markers.

r-cd 0.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/resteorts/cd
Licenses: CC0
Build system: r
Synopsis: CD Data for Entity Resolution
Description:

Duplicated music data (pre-processed and formatted) for entity resolution. The total size of the data set is 9763. There are respective gold standard records that are labeled and can be considered as a unique identifier.

r-collin 0.0.4
Propagated dependencies: r-vgam@1.1-13 r-nlme@3.1-168 r-mgcv@1.9-4 r-mass@7.3-65 r-dlnm@2.4.10
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=collin
Licenses: GPL 3
Build system: r
Synopsis: Visualization the Effects of Collinearity in Distributed Lag Models and Other Linear Models
Description:

Tool to assessing whether the results of a study could be influenced by collinearity. Simulations under a given hypothesized truth regarding effects of an exposure on the outcome are used and the resulting curves of lagged effects are visualized. A user's manual is provided, which includes detailed examples (e.g. a cohort study looking for windows of vulnerability to air pollution, a time series study examining the linear association of air pollution with hospital admissions, and a time series study examining the non-linear association between temperature and mortality). The methods are described in Basagana and Barrera-Gomez (2021) <doi:10.1093/ije/dyab179>.

r-ciw 0.0.2
Propagated dependencies: r-xml@3.99-0.20 r-data-table@1.17.8 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/eddelbuettel/ciw
Licenses: GPL 2+
Build system: r
Synopsis: Watch the CRAN Incoming Directories
Description:

Directory reads and summaries are provided for one or more of the subdirectories of the <https://cran.r-project.org/incoming/> directory, and a compact summary object is returned. The package name is a contraption of CRAN Incoming Watcher'.

r-crmetrics 0.3.2
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-sparsematrixstats@1.22.0 r-sccore@1.0.6 r-scales@1.4.0 r-r6@2.6.1 r-matrix@1.7-4 r-magrittr@2.0.4 r-ggrepel@0.9.6 r-ggpubr@0.6.2 r-ggpmisc@0.6.2 r-ggplot2@4.0.1 r-ggbeeswarm@0.7.2 r-dplyr@1.1.4 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/khodosevichlab/CRMetrics
Licenses: GPL 3
Build system: r
Synopsis: Cell Ranger Output Filtering and Metrics Visualization
Description:

Sample and cell filtering as well as visualisation of output metrics from Cell Ranger by Grace X.Y. Zheng et al. (2017) <doi:10.1038/ncomms14049>. CRMetrics allows for easy plotting of output metrics across multiple samples as well as comparative plots including statistical assessments of these. CRMetrics allows for easy removal of ambient RNA using SoupX by Matthew D Young and Sam Behjati (2020) <doi:10.1093/gigascience/giaa151> or CellBender by Stephen J Fleming et al. (2022) <doi:10.1101/791699>. Furthermore, it is possible to preprocess data using Pagoda2 by Nikolas Barkas et al. (2021) <https://github.com/kharchenkolab/pagoda2> or Seurat by Yuhan Hao et al. (2021) <doi:10.1016/j.cell.2021.04.048> followed by embedding of cells using Conos by Nikolas Barkas et al. (2019) <doi:10.1038/s41592-019-0466-z>. Finally, doublets can be detected using scrublet by Samuel L. Wolock et al. (2019) <doi:10.1016/j.cels.2018.11.005> or DoubletDetection by Gayoso et al. (2020) <doi:10.5281/zenodo.2678041>. In the end, cells are filtered based on user input for use in downstream applications.

r-conmition 0.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=conMItion
Licenses: GPL 2
Build system: r
Synopsis: Conditional Mutual Information Estimation for Multi-Omics Data
Description:

The biases introduced in association measures, particularly mutual information, are influenced by factors such as tumor purity, mutation burden, and hypermethylation. This package provides the estimation of conditional mutual information (CMI) and its statistical significance with a focus on its application to multi-omics data. Utilizing B-spline functions (inspired by Daub et al. (2004) <doi:10.1186/1471-2105-5-118>), the package offers tools to estimate the association between heterogeneous multi- omics data, while removing the effects of confounding factors. This helps to unravel complex biological interactions. In addition, it includes methods to evaluate the statistical significance of these associations, providing a robust framework for multi-omics data integration and analysis. This package is ideal for researchers in computational biology, bioinformatics, and systems biology seeking a comprehensive tool for understanding interdependencies in omics data.

r-cadftest 0.3-3
Propagated dependencies: r-urca@1.3-4 r-tseries@0.10-58 r-sandwich@3.1-1 r-dynlm@0.3-6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: http://www.jstatsoft.org/v32/i02
Licenses: GPL 2+
Build system: r
Synopsis: Package to Perform Covariate Augmented Dickey-Fuller Unit Root Tests
Description:

Hansen's (1995) Covariate-Augmented Dickey-Fuller (CADF) test. The only required argument is y, the Tx1 time series to be tested. If no stationary covariate X is passed to the procedure, then an ordinary ADF test is performed. The p-values of the test are computed using the procedure illustrated in Lupi (2009).

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