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    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
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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-catalytic 0.1.0
Propagated dependencies: r-truncnorm@1.0-9 r-survival@3.8-3 r-rstan@2.32.7 r-rlang@1.1.6 r-quadform@0.0-4 r-mass@7.3-65 r-lme4@1.1-37 r-invgamma@1.2 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=catalytic
Licenses: Expat
Build system: r
Synopsis: Tools for Applying Catalytic Priors in Statistical Modeling
Description:

To improve estimation accuracy and stability in statistical modeling, catalytic prior distributions are employed, integrating observed data with synthetic data generated from a simpler model's predictive distribution. This approach enhances model robustness, stability, and flexibility in complex data scenarios. The catalytic prior distributions are introduced by Huang et al. (2020, <doi:10.1073/pnas.1920913117>), Li and Huang (2023, <doi:10.48550/arXiv.2312.01411>).

r-circularddm 0.1.0
Propagated dependencies: 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://cran.r-project.org/package=CircularDDM
Licenses: GPL 2
Build system: r
Synopsis: Circular Drift-Diffusion Model
Description:

Circular drift-diffusion model for continuous reports.

r-colornamer 0.1.0
Propagated dependencies: r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/msanchez-beeckman/ColorNameR
Licenses: Expat
Build system: r
Synopsis: Give Colors a Name
Description:

This package provides a tool for transforming coordinates in a color space to common color names using data from the Royal Horticultural Society and the International Union for the Protection of New Varieties of Plants.

r-cmce 0.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cmce
Licenses: AGPL 3
Build system: r
Synopsis: Computer Model Calibration for Deterministic and Stochastic Simulators
Description:

This package implements the Bayesian calibration model described in Pratola and Chkrebtii (2018) <DOI:10.5705/ss.202016.0403> for stochastic and deterministic simulators. Additive and multiplicative discrepancy models are currently supported. See <http://www.matthewpratola.com/software> for more information and examples.

r-chatai4r 1.3.1
Propagated dependencies: r-rstudioapi@0.17.1 r-jsonlite@2.0.0 r-igraph@2.2.1 r-httr@1.4.7 r-glue@1.8.0 r-future@1.68.0 r-deeprstudio@0.0.9 r-curl@7.0.0 r-crayon@1.5.3 r-clipr@0.8.0 r-base64enc@0.1-3 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://kumes.github.io/chatAI4R/
Licenses: Artistic License 2.0
Build system: r
Synopsis: Chat-Based Interactive Artificial Intelligence for R
Description:

The Large Language Model (LLM) represents a groundbreaking advancement in data science and programming, and also allows us to extend the world of R. A seamless interface for integrating the OpenAI Web APIs into R is provided in this package. This package leverages LLM-based AI techniques, enabling efficient knowledge discovery and data analysis. The previous functions such as seamless translation and image generation have been moved to other packages deepRstudio and stableDiffusion4R'.

r-ctl 1.0.0-10
Propagated dependencies: r-qtl@1.72 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ctl
Licenses: GPL 3
Build system: r
Synopsis: Correlated Trait Locus Mapping
Description:

Identification and network inference of genetic loci associated with correlation changes in quantitative traits (called correlated trait loci, CTLs). Arends et al. (2016) <doi:10.21105/joss.00087>.

r-cellkey 1.0.3
Propagated dependencies: r-yaml@2.3.10 r-sdctable@0.33.0 r-sdchierarchies@0.22.0 r-rlang@1.1.6 r-ptable@1.0.0 r-digest@0.6.39 r-data-table@1.17.8 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/sdcTools/cellKey
Licenses: GPL 2
Build system: r
Synopsis: Consistent Perturbation of Statistical Frequency- And Magnitude Tables
Description:

Data from statistical agencies and other institutions often need to be protected before they can be published. This package can be used to perturb statistical tables in a consistent way. The main idea is to add - at the micro data level - a record key for each unit. Based on these keys, for any cell in a statistical table a cell key is computed as a function on the record keys contributing to a specific cell. Values that are added to the cell in order to perturb it are derived from a lookup-table that maps values of cell keys to specific perturbation values. The theoretical basis for the methods implemented can be found in Thompson, Broadfoot and Elazar (2013) <https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.46/2013/Topic_1_ABS.pdf> which was extended and enhanced by Giessing and Tent (2019) <https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.46/2019/mtg1/SDC2019_S2_Germany_Giessing_Tent_AD.pdf>.

r-cascadeselect 1.1.0
Propagated dependencies: r-shiny@1.11.1 r-reactr@0.6.1 r-htmltools@0.5.8.1 r-fontawesome@0.5.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/stla/cascadeSelect
Licenses: GPL 3
Build system: r
Synopsis: Cascade Select Input for 'Shiny'
Description:

This package provides a cascade select widget for usage in Shiny applications. This is useful for selection of hierarchical choices (e.g. continent, country, city). It is taken from the JavaScript library PrimeReact'.

r-cffdrs 1.9.2
Propagated dependencies: r-terra@1.8-86 r-sf@1.0-23 r-geosphere@1.5-20 r-foreach@1.5.2 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/cffdrs/cffdrs_r
Licenses: GPL 2
Build system: r
Synopsis: Canadian Forest Fire Danger Rating System
Description:

This project provides a group of new functions to calculate the outputs of the two main components of the Canadian Forest Fire Danger Rating System (CFFDRS) Van Wagner and Pickett (1985) <https://ostrnrcan-dostrncan.canada.ca/entities/publication/29706108-2891-4e5d-a59a-a77c96bc507c>) at various time scales: the Fire Weather Index (FWI) System Wan Wagner (1985) <https://ostrnrcan-dostrncan.canada.ca/entities/publication/d96e56aa-e836-4394-ba29-3afe91c3aa6c> and the Fire Behaviour Prediction (FBP) System Forestry Canada Fire Danger Group (1992) <https://cfs.nrcan.gc.ca/pubwarehouse/pdfs/10068.pdf>. Some functions have two versions, table and raster based.

r-corona 0.3.0
Propagated dependencies: r-reshape2@1.4.5 r-qicharts2@0.8.1 r-plyr@1.8.9 r-gridextra@2.3 r-ggplot2@4.0.1 r-gganimate@1.0.11
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=corona
Licenses: GPL 3
Build system: r
Synopsis: Coronavirus ('Rona') Data Exploration
Description:

Manipulate and view coronavirus data and other societally relevant data at a basic level.

r-cmtest 0.1-2
Propagated dependencies: r-rdpack@2.6.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://www.r-project.org
Licenses: GPL 2+
Build system: r
Synopsis: Conditional Moments Test
Description:

Conditional moments test, as proposed by Newey (1985) <doi:10.2307/1911011 > and Tauchen (1985) <doi:10.1016/0304-4076(85)90149-6>, useful to detect specification violations for models estimated by maximum likelihood. Methods for probit and tobit models are provided.

r-cpglib 1.1.2
Propagated dependencies: 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://cran.r-project.org/package=CPGLIB
Licenses: GPL 2+
Build system: r
Synopsis: Competing Proximal Gradients Library
Description:

This package provides functions to generate ensembles of generalized linear models using competing proximal gradients. The optimal sparsity and diversity tuning parameters are selected via an alternating grid search.

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-cartogramr 1.5-1
Propagated dependencies: r-sf@1.0-23 r-data-table@1.17.8 r-cleancall@0.1.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cartogramR
Licenses: Expat
Build system: r
Synopsis: Continuous Cartogram
Description:

Procedures for making continuous cartogram. Procedures available are: flow based cartogram (Gastner & Newman (2004) <doi:10.1073/pnas.0400280101>), fast flow based cartogram (Gastner, Seguy & More (2018) <doi:10.1073/pnas.1712674115>), rubber band based cartogram (Dougenik et al. (1985) <doi:10.1111/j.0033-0124.1985.00075.x>).

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-cjbart 0.3.2
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-rdpack@2.6.4 r-randomforestsrc@2.9.3 r-ggplot2@4.0.1 r-bart@2.9.10
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/tsrobinson/cjbart
Licenses: ASL 2.0
Build system: r
Synopsis: Heterogeneous Effects Analysis of Conjoint Experiments
Description:

This package provides a tool for analyzing conjoint experiments using Bayesian Additive Regression Trees ('BART'), a machine learning method developed by Chipman, George and McCulloch (2010) <doi:10.1214/09-AOAS285>. This tool focuses specifically on estimating, identifying, and visualizing the heterogeneity within marginal component effects, at the observation- and individual-level. It uses a variable importance measure ('VIMP') with delete-d jackknife variance estimation, following Ishwaran and Lu (2019) <doi:10.1002/sim.7803>, to obtain bias-corrected estimates of which variables drive heterogeneity in the predicted individual-level effects.

r-colossus 1.4.9
Propagated dependencies: r-tibble@3.3.0 r-testthat@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-processx@3.8.6 r-lubridate@1.9.4 r-dplyr@1.1.4 r-data-table@1.17.8 r-callr@3.7.6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://ericgiunta.github.io/Colossus/
Licenses: GPL 3+
Build system: r
Synopsis: "Risk Model Regression and Analysis with Complex Non-Linear Models"
Description:

This package performs survival analysis using general non-linear models. Risk models can be the sum or product of terms. Each term is the product of exponential/linear functions of covariates. Additionally sub-terms can be defined as a sum of exponential, linear threshold, and step functions. Cox Proportional hazards <https://en.wikipedia.org/wiki/Proportional_hazards_model>, Poisson <https://en.wikipedia.org/wiki/Poisson_regression>, and Fine-Gray competing risks <https://www.publichealth.columbia.edu/research/population-health-methods/competing-risk-analysis> regression are supported. This work was sponsored by NASA Grants 80NSSC19M0161 and 80NSSC23M0129 through a subcontract from the National Council on Radiation Protection and Measurements (NCRP). The computing for this project was performed on the Beocat Research Cluster at Kansas State University, which is funded in part by NSF grants CNS-1006860, EPS-1006860, EPS-0919443, ACI-1440548, CHE-1726332, and NIH P20GM113109.

r-cvcrand 0.1.1
Propagated dependencies: r-tableone@0.13.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cvcrand
Licenses: GPL 2+
Build system: r
Synopsis: Efficient Design and Analysis of Cluster Randomized Trials
Description:

Constrained randomization by Raab and Butcher (2001) <doi:10.1002/1097-0258(20010215)20:3%3C351::AID-SIM797%3E3.0.CO;2-C> is suitable for cluster randomized trials (CRTs) with a small number of clusters (e.g., 20 or fewer). The procedure of constrained randomization is based on the baseline values of some cluster-level covariates specified. The intervention effect on the individual outcome can then be analyzed through clustered permutation test introduced by Gail, et al. (1996) <doi:10.1002/(SICI)1097-0258(19960615)15:11%3C1069::AID-SIM220%3E3.0.CO;2-Q>. Motivated from Li, et al. (2016) <doi:10.1002/sim.7410>, the package performs constrained randomization on the baseline values of cluster-level covariates and clustered permutation test on the individual-level outcomes for cluster randomized trials.

r-codebookr 0.1.8
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-officer@0.7.1 r-haven@2.5.5 r-flextable@0.9.10 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/brad-cannell/codebookr
Licenses: Expat
Build system: r
Synopsis: Create Codebooks from Data Frames
Description:

Quickly and easily create codebooks (i.e. data dictionaries) directly from a data frame.

r-cuda-ml 0.3.2
Propagated dependencies: r-rlang@1.1.6 r-rcpp@1.1.0 r-parsnip@1.3.3 r-hardhat@1.4.2 r-ellipsis@0.3.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://mlverse.github.io/cuda.ml/
Licenses: Expat
Build system: r
Synopsis: R Interface for the RAPIDS cuML Suite of Libraries
Description:

R interface for RAPIDS cuML (<https://github.com/rapidsai/cuml>), a suite of GPU-accelerated machine learning libraries powered by CUDA (<https://en.wikipedia.org/wiki/CUDA>).

r-contourfunctions 0.1.2
Propagated dependencies: r-rmarkdown@2.30 r-rlang@1.1.6 r-lhs@1.2.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/CollinErickson/ContourFunctions
Licenses: GPL 3
Build system: r
Synopsis: Create Contour Plots from Data or a Function
Description:

This package provides functions for making contour plots. The contour plot can be created from grid data, a function, or a data set. If non-grid data is given, then a Gaussian process is fit to the data and used to create the contour plot.

r-charisma 1.0.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-recolorize@0.2.0 r-purrr@1.2.0 r-png@0.1-8 r-plyr@1.8.9 r-magrittr@2.0.4 r-jpeg@0.1-11 r-imager@1.0.5 r-dplyr@1.1.4 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/shawntz/charisma
Licenses: Expat
Build system: r
Synopsis: Reproducible Color Characterization of Digital Images for Biological Studies
Description:

This package provides a standardized and reproducible framework for characterizing and classifying discrete color classes from digital images of biological organisms. The package automatically determines the presence or absence of 10 human-visible color categories (black, blue, brown, green, grey, orange, purple, red, white, yellow) using a biologically-inspired Color Look-Up Table (CLUT) that partitions HSV color space. Supports both fully automated and semi-automated (interactive) workflows with complete provenance tracking for reproducibility. Pre-processes images using the recolorize package (Weller et al. 2024 <doi:10.1111/ele.14378>) for spatial-color binning, and integrates with pavo (Maia et al. 2019 <doi:10.1111/2041-210X.13174>) for color pattern geometry statistics. Designed for high-throughput analysis and seamless integration with downstream evolutionary analyses.

r-clusterrepro 0.9
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://www.ncbi.nlm.nih.gov/pubmed/16613834.
Licenses: GPL 2
Build system: r
Synopsis: Reproducibility of Gene Expression Clusters
Description:

This is a function for validating microarray clusters via reproducibility, based on the paper referenced below.

r-cubing 1.0-5
Propagated dependencies: r-rgl@1.3.31
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cubing
Licenses: GPL 3
Build system: r
Synopsis: Rubik's Cube Solving
Description:

This package provides functions for visualizing, animating, solving and analyzing the Rubik's cube. Includes data structures for solvable and unsolvable cubes, random moves and random state scrambles and cubes, 3D displays and animations using OpenGL', patterned cube generation, and lightweight solvers. See Rokicki, T. (2008) <arXiv:0803.3435> for the Kociemba solver.

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