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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-confmatrix 0.1.0
Propagated dependencies: r-rdpack@2.6.4 r-r6@2.6.1 r-gridextra@2.3 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ConfMatrix
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Confusion Matrix
Description:

Thematic quality indices are provided to facilitate the evaluation and quality control of geospatial data products (e.g. thematic maps, remote sensing classifications, etc.). The indices offered are based on the so-called confusion matrix. This matrix is constructed by comparing the assigned classes or attributes of a set of pairs of positions or objects in the product and the ground truth. In this package it is considered that the classes of the ground truth correspond to the columns and that the classes of the product to be valued correspond to the rows. The package offers two object classes with their methods: ConfMatrix (Confusion matrix) and QCCS (Quality Control Columns Set). The ConfMatrix class of objects offers more than 20 methods based on the confusion matrix. The QCCS class of objects offers a different perspective in which the ground truth is considered to allow the values of the column marginals to be fixed, see Ariza López et al. (2019) <doi:10.3390/app9204240> and Canran Liu et al. (2007) <doi:10.1016/j.rse.2006.10.010> for more details. The package was created with R6'.

r-colorfindr 0.1.5
Propagated dependencies: r-treemap@2.4-4 r-tiff@0.1-12 r-tibble@3.3.0 r-stringr@1.6.0 r-rsvg@2.7.0 r-purrr@1.2.0 r-png@0.1-8 r-plotwidgets@0.5.1 r-plotly@4.11.0 r-pixmap@0.4-14 r-magrittr@2.0.4 r-jpeg@0.1-11 r-dplyr@1.1.4 r-bmp@0.3.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=colorfindr
Licenses: GPL 2+
Build system: r
Synopsis: Extract Colors from Windows BMP, JPEG, PNG, TIFF, and SVG Format Images
Description:

Extracts colors from various image types, returns customized reports and plots treemaps and 3D scatterplots of image compositions. Color palettes can also be created.

r-cdsim 0.1.1
Propagated dependencies: r-vroom@1.6.6 r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-readr@2.1.6 r-ncdf4@1.24 r-lubridate@1.9.4 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/ikemillar/CDSim
Licenses: Expat
Build system: r
Synopsis: Simulating Climate Data for Research and Modelling
Description:

Generate synthetic station-based monthly climate time-series including temperature and rainfall, export to Network Common Data Form (NetCDF), and provide visualization helpers for climate workflows. The approach is inspired by statistical weather generator concepts described in Wilks (1992) <doi:10.1016/S0168-1923(99)00037-4> and Richardson (1981) <doi:10.1029/WR017i001p00182>.

r-connectapi 0.10.0
Propagated dependencies: r-vctrs@0.6.5 r-uuid@1.2-1 r-tibble@3.3.0 r-rlang@1.1.6 r-r6@2.6.1 r-purrr@1.2.0 r-mime@0.13 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-glue@1.8.0 r-fs@1.6.6 r-bit64@4.6.0-1 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://posit-dev.github.io/connectapi/
Licenses: Expat
Build system: r
Synopsis: Utilities for Interacting with the 'Posit Connect' Server API
Description:

This package provides a helpful R6 class and methods for interacting with the Posit Connect Server API along with some meaningful utility functions for regular tasks. API documentation varies by Posit Connect installation and version, but the latest documentation is also hosted publicly at <https://docs.posit.co/connect/api/>.

r-critpath 0.2.3
Propagated dependencies: r-stringr@1.6.0 r-reshape2@1.4.5 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-diagrammer@1.0.11
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=critpath
Licenses: GPL 2
Build system: r
Synopsis: Setting the Critical Path in Project Management
Description:

Solving the problem of project management using CPM (Critical Path Method), PERT (Program Evaluation and Review Technique) and LESS (Least Cost Estimating and Scheduling) methods. The package sets the critical path, schedule and Gantt chart. In addition, it allows to draw a graph even with marked critical activities. For more information about project management see: Taha H. A. "Operations Research. An Introduction" (2017, ISBN:978-1-292-16554-7), Rama Murthy P. "Operations Research" (2007, ISBN:978-81-224-2944-2), Yuval Cohen & Arik Sadeh (2006) "A New Approach for Constructing and Generating AOA Networks", Journal of Engineering, Computing and Architecture 1. 1-13, Konarzewska I., Jewczak M., Kucharski A. (2020, ISBN:978-83-8220-112-3), MiszczyÅ ska D., MiszczyÅ ski M. "Wybrane metody badaÅ operacyjnych" (2000, ISBN:83-907712-0-9).

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-cmbclust 0.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cmbClust
Licenses: GPL 2+
Build system: r
Synopsis: Conditional Mixture Modeling and Model-Based Clustering
Description:

Conditional mixture model fitted via EM (Expectation Maximization) algorithm for model-based clustering, including parsimonious procedure, optimal conditional order exploration, and visualization.

r-cub 1.1.5
Propagated dependencies: r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CUB
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Class of Mixture Models for Ordinal Data
Description:

For ordinal rating data, estimate and test models within the family of CUB models and their extensions (where CUB stands for Combination of a discrete Uniform and a shifted Binomial distributions); Simulation routines, plotting facilities and fitting measures are also provided.

r-chessgmoog 0.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ChessGmooG
Licenses: GPL 2+
Build system: r
Synopsis: FIDE Chess Players Ratings for 2015 and 2020
Description:

Datasets of the International Chess Federation's player ratings and country information analysed in the book Antony Unwin (2024, ISBN:978-0367674007) "Getting (more out of) Graphics".

r-cops 1.12-1
Propagated dependencies: r-subplex@1.9 r-smacofx@1.22-0 r-smacof@2.1-7 r-rsolnp@2.0.1 r-rgenoud@5.9-0.11 r-pso@1.0.4 r-nloptr@2.2.1 r-nlcoptim@0.6 r-minqa@1.2.8 r-gensa@1.1.15 r-dfoptim@2023.1.0 r-crs@0.15-39 r-cordillera@1.0-3 r-cmaes@1.0-12 r-analogue@0.18.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://r-forge.r-project.org/projects/stops/
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Cluster Optimized Proximity Scaling
Description:

Multidimensional scaling (MDS) methods that aim at pronouncing the clustered appearance of the configuration (Rusch, Mair & Hornik, 2021, <doi:10.1080/10618600.2020.1869027>). They achieve this by transforming proximities/distances with explicit power functions and penalizing the fitting criterion with a clusteredness index, the OPTICS Cordillera (Rusch, Hornik & Mair, 2018, <doi:10.1080/10618600.2017.1349664>). There are two variants: One for finding the configuration directly (COPS-C) with given explicit power transformations and implicit ratio, interval and non-metric optimal scaling transformations (Borg & Groenen, 2005, ISBN:978-0-387-28981-6), and one for using the augmented fitting criterion to find optimal hyperparameters for the explicit transformations (P-COPS). The package contains various functions, wrappers, methods and classes for fitting, plotting and displaying a large number of different MDS models (most of the functionality in smacofx) in the COPS framework. The package further contains a function for pattern search optimization, the ``Adaptive Luus-Jaakola Algorithm (Rusch, Mair & Hornik, 2021,<doi:10.1080/10618600.2020.1869027>) and a functions to calculate the phi-distances for count data or histograms.

r-codebreaker 1.0.1
Propagated dependencies: r-cli@3.6.5 r-beepr@2.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/rolkra/codebreaker
Licenses: GPL 3
Build system: r
Synopsis: Retro Logic Game
Description:

Logic game in the style of the early 1980s home computers that can be played in the R console. This game is inspired by Mastermind, a game that became popular in the 1970s. Can you break the code?

r-clustermole 1.1.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-singscore@1.30.0 r-rlang@1.1.6 r-magrittr@2.0.4 r-gsva@2.4.1 r-gseabase@1.72.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://igordot.github.io/clustermole/
Licenses: Expat
Build system: r
Synopsis: Unbiased Single-Cell Transcriptomic Data Cell Type Identification
Description:

Assignment of cell type labels to single-cell RNA sequencing (scRNA-seq) clusters is often a time-consuming process that involves manual inspection of the cluster marker genes complemented with a detailed literature search. This is especially challenging when unexpected or poorly described populations are present. The clustermole R package provides methods to query thousands of human and mouse cell identity markers sourced from a variety of databases.

r-clindatareview 1.6.2
Dependencies: pandoc@2.19.2
Propagated dependencies: r-yaml@2.3.10 r-xml2@1.5.0 r-xfun@0.54 r-stringr@1.6.0 r-rmarkdown@2.30 r-plyr@1.8.9 r-plotly@4.11.0 r-knitr@1.50 r-jsonvalidate@1.5.0 r-jsonlite@2.0.0 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-haven@2.5.5 r-ggplot2@4.0.1 r-data-table@1.17.8 r-crosstalk@1.2.2 r-clinutils@0.2.2 r-bookdown@0.45 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/openanalytics/clinDataReview
Licenses: Expat
Build system: r
Synopsis: Clinical Data Review Tool
Description:

Creation of interactive tables, listings and figures ('TLFs') and associated report for exploratory analysis of data in a clinical trial, e.g. for clinical oversight activities. Interactive figures include sunburst, treemap, scatterplot, line plot and barplot of counts data. Interactive tables include table of summary statistics (as counts of adverse events, enrollment table) and listings. Possibility to compare data (summary table or listing) across two data batches/sets. A clinical data review report is created via study-specific configuration files and template R Markdown reports contained in the package.

r-congressdata 1.5.5
Propagated dependencies: r-tidyselect@1.2.1 r-stringr@1.6.0 r-rlang@1.1.6 r-fst@0.9.8 r-dplyr@1.1.4 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CongressData
Licenses: GPL 3
Build system: r
Synopsis: Functional Tool for 'CongressData'
Description:

This package provides a tool that imports, subsets, and exports the CongressData dataset. CongressData contains approximately 800 variables concerning all US congressional districts with data back to 1789. The dataset tracks district characteristics, members of Congress, and the political behavior of those members. Users with only a basic understanding of R can subset this data across multiple dimensions, export their search results, identify the citations associated with their searches, and more.

r-causens 0.0.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://kuan-liu-lab.github.io/causens/
Licenses: Expat
Build system: r
Synopsis: Perform Causal Sensitivity Analyses Using Various Statistical Methods
Description:

While data from randomized experiments remain the gold standard for causal inference, estimation of causal estimands from observational data is possible through various confounding adjustment methods. However, the challenge of unmeasured confounding remains a concern in causal inference, where failure to account for unmeasured confounders can lead to biased estimates of causal estimands. Sensitivity analysis within the framework of causal inference can help adjust for possible unmeasured confounding. In `causens`, three main methods are implemented: adjustment via sensitivity functions (Brumback, Hernán, Haneuse, and Robins (2004) <doi:10.1002/sim.1657> and Li, Shen, Wu, and Li (2011) <doi:10.1093/aje/kwr096>), Bayesian parametric modelling and Monte Carlo approaches (McCandless, Lawrence C and Gustafson, Paul (2017) <doi:10.1002/sim.7298>).

r-cleaningvalidation 1.0
Propagated dependencies: r-rlang@1.1.6 r-lme4@1.1-37 r-ggplot2@4.0.1 r-dunn-test@1.3.6 r-dplyr@1.1.4 r-cowplot@1.2.0 r-boot@1.3-32 r-aer@1.2-15
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/ChandlerXiandeYang/CleaningValidation
Licenses: GPL 3
Build system: r
Synopsis: Cleaning Validation Functions for Pharmaceutical Cleaning Process
Description:

This package provides essential Cleaning Validation functions for complying with pharmaceutical cleaning process regulatory standards. The package includes non-parametric methods to analyze drug active-ingredient residue (DAR), cleaning agent residue (CAR), and microbial colonies (Mic) for non-Poisson distributions. Additionally, Poisson methods are provided for Mic analysis when Mic data follow a Poisson distribution.

r-corr2d 1.0.3
Propagated dependencies: r-mmand@1.6.3 r-foreach@1.5.2 r-fields@17.1 r-doparallel@1.0.17 r-colorspace@2.1-2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=corr2D
Licenses: GPL 3
Build system: r
Synopsis: Implementation of 2D Correlation Analysis in R
Description:

Implementation of two-dimensional (2D) correlation analysis based on the Fourier-transformation approach described by Isao Noda (I. Noda (1993) <DOI:10.1366/0003702934067694>). Additionally there are two plot functions for the resulting correlation matrix: The first one creates colored 2D plots, while the second one generates 3D plots.

r-cropzoning 1.0.3
Propagated dependencies: r-tidyr@1.3.1 r-terra@1.8-86 r-sf@1.0-23 r-ncdf4@1.24 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cropZoning
Licenses: FSDG-compatible
Build system: r
Synopsis: Climate Crop Zoning Based in Air Temperature for Brazil
Description:

Climate crop zoning based in minimum and maximum air temperature. The data used in the package are from TerraClimate dataset (<https://www.climatologylab.org/terraclimate.html>), but, it have been calibrated with automatic weather stations of National Meteorological Institute of Brazil. The climate crop zoning of this package can be run for all the Brazilian territory.

r-clickhousehttp 0.3.4
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7 r-dbi@1.2.3 r-data-table@1.17.8 r-arrow@22.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/patzaw/ClickHouseHTTP
Licenses: GPL 3
Build system: r
Synopsis: Simple HTTP Database Interface to 'ClickHouse'
Description:

ClickHouse (<https://clickhouse.com/>) is an open-source, high performance columnar OLAP (online analytical processing of queries) database management system for real-time analytics using SQL. This DBI backend relies on the ClickHouse HTTP interface and support HTTPS protocol.

r-crtgeedr 2.0.1
Propagated dependencies: r-matrix@1.7-4 r-mass@7.3-65 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CRTgeeDR
Licenses: GPL 2+
Build system: r
Synopsis: Doubly Robust Inverse Probability Weighted Augmented GEE Estimator
Description:

This package implements a semi-parametric GEE estimator accounting for missing data with Inverse-probability weighting (IPW) and for imbalance in covariates with augmentation (AUG). The estimator IPW-AUG-GEE is Doubly robust (DR).

r-cnvreg 1.0
Propagated dependencies: r-tidyr@1.3.1 r-matrix@1.7-4 r-glmnet@4.1-10 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CNVreg
Licenses: GPL 3
Build system: r
Synopsis: CNV-Profile Regression for Copy Number Variants Association Analysis with Penalized Regression
Description:

This package performs copy number variants association analysis with Lasso and Weighted Fusion penalized regression. Creates a "CNV profile curve" to represent an individualâ s CNV events across a genomic region so to capture variations in CNV length and dosage. When evaluating association, the CNV profile curve is directly used as a predictor in the regression model, avoiding the need to predefine CNV loci. CNV profile regression estimates CNV effects at each genome position, making the results comparable across different studies. The penalization encourages sparsity in variable selection with a Lasso penalty and encourages effect smoothness between consecutive CNV events with a weighted fusion penalty, where the weight controls the level of smoothing between adjacent CNVs. For more details, see Si (2024) <doi:10.1101/2024.11.23.624994>.

r-crew-cluster 0.4.0
Propagated dependencies: r-yaml@2.3.10 r-xml2@1.5.0 r-vctrs@0.6.5 r-rlang@1.1.6 r-r6@2.6.1 r-ps@1.9.1 r-nanonext@1.7.2 r-lifecycle@1.0.4 r-crew@1.3.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://wlandau.github.io/crew.cluster/
Licenses: Expat
Build system: r
Synopsis: Crew Launcher Plugins for Traditional High-Performance Computing Clusters
Description:

In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The crew.cluster package extends the mirai'-powered crew package with worker launcher plugins for traditional high-performance computing systems. Inspiration also comes from packages mirai by Gao (2023) <https://github.com/r-lib/mirai>, future by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, rrq by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, clustermq by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and batchtools by Lang, Bischl, and Surmann (2017). <doi:10.21105/joss.00135>.

r-cascsim 0.4
Propagated dependencies: r-scatterplot3d@0.3-44 r-r2html@2.3.4 r-moments@0.14.1 r-fitdistrplus@1.2-4 r-copula@1.1-6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cascsim
Licenses: GPL 3
Build system: r
Synopsis: Casualty Actuarial Society Individual Claim Simulator
Description:

It is an open source insurance claim simulation engine sponsored by the Casualty Actuarial Society. It generates individual insurance claims including open claims, reopened claims, incurred but not reported claims and future claims. It also includes claim data fitting functions to help set simulation assumptions. It is useful for claim level reserving analysis. Parodi (2013) <https://www.actuaries.org.uk/documents/triangle-free-reserving-non-traditional-framework-estimating-reserves-and-reserve-uncertainty>.

r-colorednoise 1.1.2
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-purrr@1.2.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=colorednoise
Licenses: GPL 3
Build system: r
Synopsis: Simulate Temporally Autocorrelated Populations
Description:

Temporally autocorrelated populations are correlated in their vital rates (growth, death, etc.) from year to year. It is very common for populations, whether they be bacteria, plants, or humans, to be temporally autocorrelated. This poses a challenge for stochastic population modeling, because a temporally correlated population will behave differently from an uncorrelated one. This package provides tools for simulating populations with white noise (no temporal autocorrelation), red noise (positive temporal autocorrelation), and blue noise (negative temporal autocorrelation). The algebraic formulation for autocorrelated noise comes from Ruokolainen et al. (2009) <doi:10.1016/j.tree.2009.04.009>. Models for unstructured populations and for structured populations (matrix models) are available.

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