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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-chcd 0.1.1
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-readr@2.1.6 r-progress@1.2.3 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://cran.r-project.org/package=chcd
Licenses: GPL 3+
Build system: r
Synopsis: Access Canadian Historical Climate Data
Description:

This package provides easy access to historical climate data in Canada from R. Search for weather stations and download raw hourly, daily or monthly weather data across Canada from 1840 to present. Implements public API access as detailed at <https://climate.weather.gc.ca>.

r-cosmicsig 1.1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/Rozen-Lab/cosmicsig
Licenses: GPL 3
Build system: r
Synopsis: Mutational Signatures from COSMIC (Catalogue of Somatic Mutations in Cancer)
Description:

This package provides a data package with 2 main package variables: signature and etiology'. The signature variable contains the latest mutational signature profiles released on COSMIC <https://cancer.sanger.ac.uk/signatures/> for 3 mutation types: * Single base substitutions in the context of preceding and following bases, * Doublet base substitutions, and * Small insertions and deletions. The etiology variable provides the known or hypothesized causes of signatures. cosmicsig stands for COSMIC signatures. Please run ?'cosmicsig for more information.

r-creds 0.1.0
Propagated dependencies: 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=CREDS
Licenses: GPL 3
Build system: r
Synopsis: Calibrated Ratio Estimator under Double Sampling Design
Description:

Population ratio estimator (calibrated) under two-phase random sampling design has gained enormous popularity in the recent time. This package provides functions for estimation population ratio (calibrated) under two phase sampling design, including the approximate variance of the ratio estimator. The improved ratio estimator can be applicable for both the case, when auxiliary data is available at unit level or aggregate level (eg., mean or total) for first phase sampled. Calibration weight of each unit of the second phase sample was calculated. Single and combined inclusion probabilities were also estimated for both phases under two phase random [simple random sampling without replacement (SRSWOR)] sampling. The improved ratio estimator's percentage coefficient of variation was also determined as a measure of accuracy. This package has been developed based on the theoretical development of Islam et al. (2021) and Ozgul (2020) <doi:10.1080/00949655.2020.1844702>.

r-childdevdata 1.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/d-score/childdevdata
Licenses: FSDG-compatible
Build system: r
Synopsis: Child Development Data
Description:

Measuring child development starts by collecting responses to developmental milestones, such as "able to sit" or "says two words". There are many ways to combine such responses into summaries. The package bundles publicly available datasets with individual milestone data for children aged 0-5 years, with the aim of supporting the construction, evaluation, validation and interpretation of methodologies that aggregate milestone data into informative measures of child development.

r-chatrater 1.2.0
Propagated dependencies: r-openai@0.4.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=chatRater
Licenses: Expat
Build system: r
Synopsis: Tool for Rating Text/Image Stimuli
Description:

Evaluates stimuli using Large Language Models APIs with URL support.

r-capr 0.2.0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/rluo/capr
Licenses: GPL 3
Build system: r
Synopsis: Covariate Assisted Principal Regression
Description:

Covariate Assisted Principal Regression (CAPR) for multiple covariance-matrix outcomes. The method identifies (principal) projection directions that maximize the log-likelihood of a log-linear regression model of the covariates. See Zhao et al. (2021), "Covariate Assisted Principal Regression for Covariance Matrix Outcomes" <doi:10.1093/biostatistics/kxz057>.

r-cctest 2.2.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cctest
Licenses: FSDG-compatible
Build system: r
Synopsis: Canonical Correlations and Tests of Independence
Description:

This package provides a simple interface for multivariate correlation analysis that unifies various classical statistical procedures including t-tests, tests in univariate and multivariate linear models, parametric and nonparametric tests for correlation, Kruskal-Wallis tests, common approximate versions of Wilcoxon rank-sum and signed rank tests, chi-squared tests of independence, score tests of particular hypotheses in generalized linear models, canonical correlation analysis and linear discriminant analysis.

r-cpp11qpdf 1.3.5
Dependencies: zlib@1.3.1 libjpeg-turbo@2.1.4
Propagated dependencies: r-curl@7.0.0 r-cpp11@0.5.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://pacha.dev/cpp11qpdf/
Licenses: FSDG-compatible
Build system: r
Synopsis: Split, Combine and Compress PDF Files
Description:

Bindings to qpdf': qpdf (<https://qpdf.sourceforge.io/>) is a an open-source PDF rendering library that allows to conduct content-preserving transformations of PDF files such as split, combine, and compress PDF files.

r-cmhc 0.2.10
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-readr@2.1.6 r-httr@1.4.7 r-dplyr@1.1.4 r-digest@0.6.39 r-aws-s3@0.3.22
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/mountainMath/cmhc
Licenses: Expat
Build system: r
Synopsis: Access, Retrieve, and Work with CMHC Data
Description:

Wrapper around the Canadian Mortgage and Housing Corporation (CMHC) web interface. It enables programmatic and reproducible access to a wide variety of housing data from CMHC.

r-cito 1.1
Propagated dependencies: r-torchvision@0.8.0 r-torch@0.16.3 r-tibble@3.3.0 r-progress@1.2.3 r-parabar@1.4.2 r-lme4@1.1-37 r-gridextra@2.3 r-coro@1.1.0 r-cli@3.6.5 r-checkmate@2.3.3 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://citoverse.github.io/cito/
Licenses: GPL 3+
Build system: r
Synopsis: Building and Training Neural Networks
Description:

The cito package provides a user-friendly interface for training and interpreting deep neural networks (DNN). cito simplifies the fitting of DNNs by supporting the familiar formula syntax, hyperparameter tuning under cross-validation, and helps to detect and handle convergence problems. DNNs can be trained on CPU, GPU and MacOS GPUs. In addition, cito has many downstream functionalities such as various explainable AI (xAI) metrics (e.g. variable importance, partial dependence plots, accumulated local effect plots, and effect estimates) to interpret trained DNNs. cito optionally provides confidence intervals (and p-values) for all xAI metrics and predictions. At the same time, cito is computationally efficient because it is based on the deep learning framework torch'. The torch package is native to R, so no Python installation or other API is required for this package.

r-cure 1.1.1
Propagated dependencies: r-survival@3.8-3 r-statmod@1.5.1 r-rstpm2@1.7.1 r-reshape2@1.4.5 r-relsurv@2.3-3 r-numderiv@2016.8-1.1 r-date@1.2-42
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/LasseHjort/cuRe
Licenses: GPL 2+
Build system: r
Synopsis: Parametric Cure Model Estimation
Description:

This package contains functions for estimating generalized parametric mixture and non-mixture cure models <doi:10.1016/j.cmpb.2022.107125>, loss of lifetime, mean residual lifetime, and crude event probabilities.

r-cliftlrd 0.1-2
Propagated dependencies: r-liftlrd@1.0-9 r-cnltreg@0.1-2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CliftLRD
Licenses: GPL 2
Build system: r
Synopsis: Complex-Valued Wavelet Lifting Estimators of the Hurst Exponent for Irregularly Sampled Time Series
Description:

Implementation of Hurst exponent estimators based on complex-valued lifting wavelet energy from Knight, M. I and Nunes, M. A. (2018) <doi:10.1007/s11222-018-9820-8>.

r-conspline 1.2
Propagated dependencies: r-coneproj@1.23
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ConSpline
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Partial Linear Least-Squares Regression using Constrained Splines
Description:

Given response y, continuous predictor x, and covariate matrix, the relationship between E(y) and x is estimated with a shape constrained regression spline. Function outputs fits and various types of inference.

r-counterfactuals 1.0.0
Propagated dependencies: r-statmatch@1.4.3 r-r6@2.6.1 r-paradox@1.0.1 r-miesmuschel@0.0.4-3 r-iml@0.11.4 r-data-table@1.17.8 r-checkmate@2.3.3 r-bbotk@1.8.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/dandls/counterfactuals
Licenses: LGPL 3
Build system: r
Synopsis: Counterfactual Explanations
Description:

Modular and unified R6-based interface for counterfactual explanation methods. The following methods are currently implemented: Burghmans et al. (2022) <doi:10.48550/arXiv.2104.07411>, Dandl et al. (2020) <doi:10.1007/978-3-030-58112-1_31> and Wexler et al. (2019) <doi:10.1109/TVCG.2019.2934619>. Optional extensions allow these methods to be applied to a variety of models and use cases. Once generated, the counterfactuals can be analyzed and visualized by provided functionalities. The package is described in detail in Dandl et al. (2025) <doi:10.18637/jss.v115.i09>.

r-covkcd 0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=covKCD
Licenses: GPL 3
Build system: r
Synopsis: Covariance Estimation for Matrix Data with the Kronecker-Core Decomposition
Description:

Matrix-variate covariance estimation via the Kronecker-core decomposition. Computes the Kronecker and core covariance matrices corresponding to an arbitrary covariance matrix, and provides an empirical Bayes covariance estimator that adaptively shrinks towards the space of separable covariance matrices. For details, see Hoff, McCormack and Zhang (2022) <arXiv:2207.12484> "Core Shrinkage Covariance Estimation for Matrix-variate data".

r-codina 1.1.2
Propagated dependencies: r-visnetwork@2.1.4 r-reshape2@1.4.5 r-plyr@1.8.9 r-magrittr@2.0.4 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://cran.r-project.org/package=CoDiNA
Licenses: GPL 2
Build system: r
Synopsis: Co-Expression Differential Network Analysis
Description:

Categorize links and nodes from multiple networks in 3 categories: Common links (alpha) specific links (gamma), and different links (beta). Also categorizes the links into sub-categories and groups. The package includes a visualization tool for the networks. More information about the methodology can be found at: Gysi et. al., 2018 <arXiv:1802.00828>.

r-cata 0.1.1.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://CRAN.R-project.org/package=cata
Licenses: GPL 2+
Build system: r
Synopsis: Analysis of Check-All-that-Apply (CATA) Data
Description:

Package contains functions for analyzing check-all-that-apply (CATA) data from consumer and sensory tests. Cochran's Q test, McNemar's test, and Penalty-Lift analysis are provided; for details, see Meyners, Castura & Carr (2013) <doi:10.1016/j.foodqual.2013.06.010>. Cluster analysis can be performed using b-cluster analysis, then evaluated using various measures; for details, see Castura, Meyners, Varela & Næs (2022) <doi:10.1016/j.foodqual.2022.104564>. Consumers can also be clustered on their product-related hedonic responses; see Castura, Meyners, Pohjanheimo, Varela & Næs (2023) <doi:10.1111/joss.12860>. Permutation tests based on the L1-norm methods are provided; for details, see Chaya, Castura & Greenacre (2025) <doi:10.1016/j.foodqual.2025.105639>.

r-csutil 2023.4.25
Propagated dependencies: r-magrittr@2.0.4 r-ggplot2@4.0.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://www.csids.no/csutil/
Licenses: Expat
Build system: r
Synopsis: Common Base-R Problems Relating to Lists
Description:

Utility functions that help with common base-R problems relating to lists. Lists in base-R are very flexible. This package provides functions to quickly and easily characterize types of lists. That is, to identify if all elements in a list are null, data.frames, lists, or fully named lists. Other functionality is provided for the handling of lists, such as the easy splitting of lists into equally sized groups, and the unnesting of data.frames within fully named lists.

r-ctmcmove 1.2.10
Propagated dependencies: r-sp@2.2-0 r-raster@3.6-32 r-matrix@1.7-4 r-gdistance@1.6.5 r-fda@6.3.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ctmcmove
Licenses: GPL 2
Build system: r
Synopsis: Modeling Animal Movement with Continuous-Time Discrete-Space Markov Chains
Description:

Software to facilitates taking movement data in xyt format and pairing it with raster covariates within a continuous time Markov chain (CTMC) framework. As described in Hanks et al. (2015) <DOI:10.1214/14-AOAS803> , this allows flexible modeling of movement in response to covariates (or covariate gradients) with model fitting possible within a Poisson GLM framework.

r-cdparcoord 1.0.1
Propagated dependencies: r-plotly@4.11.0 r-partools@1.1.7 r-freqparcoord@1.0.1 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=cdparcoord
Licenses: GPL 2+
Build system: r
Synopsis: Top Frequency-Based Parallel Coordinates
Description:

Parallel coordinate plotting with resolutions for large data sets and missing values.

r-coxaipw 0.0.3
Propagated dependencies: r-tidyr@1.3.1 r-survival@3.8-3 r-ranger@0.17.0 r-randomforestsrc@2.9.3 r-pracma@2.4.6 r-polspline@1.1.25 r-gbm@2.2.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/charlesluo1002/CoxAIPW
Licenses: GPL 3
Build system: r
Synopsis: Doubly Robust Inference for Cox Marginal Structural Model with Informative Censoring
Description:

Doubly robust estimation and inference of log hazard ratio under the Cox marginal structural model with informative censoring. An augmented inverse probability weighted estimator that involves 3 working models, one for conditional failure time T, one for conditional censoring time C and one for propensity score. Both models for T and C can depend on both a binary treatment A and additional baseline covariates Z, while the propensity score model only depends on Z. With the help of cross-fitting techniques, achieves the rate-doubly robust property that allows the use of most machine learning or non-parametric methods for all 3 working models, which are not permitted in classic inverse probability weighting or doubly robust estimators. When the proportional hazard assumption is violated, CoxAIPW estimates a causal estimated that is a weighted average of the time-varying log hazard ratio. Reference: Luo, J. (2023). Statistical Robustness - Distributed Linear Regression, Informative Censoring, Causal Inference, and Non-Proportional Hazards [Unpublished doctoral dissertation]. University of California San Diego.; Luo & Xu (2022) <doi:10.48550/arXiv.2206.02296>; Rava (2021) <https://escholarship.org/uc/item/8h1846gs>.

r-crossnma 1.3.0
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-rjags@4-17 r-plyr@1.8.9 r-netmeta@3.3-1 r-meta@8.2-1 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/htx-r/crossnma
Licenses: GPL 2+
Build system: r
Synopsis: Cross-Design & Cross-Format Network Meta-Analysis and Regression
Description:

Network meta-analysis and meta-regression (allows including up to three covariates) for individual participant data, aggregate data, and mixtures of both formats using the three-level hierarchical model. Each format can come from randomized controlled trials or non-randomized studies or mixtures of both. Estimates are generated in a Bayesian framework using JAGS. The implemented models are described by Hamza et al. 2023 <DOI:10.1002/jrsm.1619>.

r-coinprofile 0.1.9
Propagated dependencies: r-zoo@1.8-14 r-rdpack@2.6.4 r-plyr@1.8.9 r-ggplot2@4.0.1 r-exactranktests@0.8-35 r-coin@1.4-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/WilmerMartinezR/Coinprofile
Licenses: GPL 2
Build system: r
Synopsis: Coincident Profile
Description:

Builds the coincident profile proposed by Martinez, W and Nieto, Fabio H and Poncela, P (2016) <doi:10.1016/j.spl.2015.11.008>. This methodology studies the relationship between a couple of time series based on the the set of turning points of each time series. The coincident profile establishes if two time series are coincident, or one of them leads the second.

r-crsuggest 0.4
Propagated dependencies: r-units@1.0-0 r-sf@1.0-23 r-purrr@1.2.0 r-mapview@2.11.4 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=crsuggest
Licenses: Expat
Build system: r
Synopsis: Obtain Suggested Coordinate Reference System Information for Spatial Data
Description:

Uses data from the EPSG Registry to look up suitable coordinate reference system transformations for spatial datasets in R. Returns a data frame with CRS codes that can be used for CRS transformation and mapping projects. Please see the EPSG Dataset Terms of Use at <https://epsg.org/terms-of-use.html> for more information.

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Total results: 68658