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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-clustermi 1.5
Propagated dependencies: r-withr@3.0.2 r-rfast@2.1.5.2 r-reshape2@1.4.5 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-npbayesimputecat@0.6 r-mix@1.0-13 r-micemd@1.10.1 r-mice@3.18.0 r-mclust@6.1.2 r-knockoff@0.3.6 r-gridextra@2.3 r-glmnet@4.1-10 r-ggplot2@4.0.1 r-fpc@2.2-13 r-factominer@2.12 r-e1071@1.7-16 r-dicer@3.1.0 r-clusterr@1.3.5 r-cat@0.0-9
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=clusterMI
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Cluster Analysis with Missing Values by Multiple Imputation
Description:

Allows clustering of incomplete observations by addressing missing values using multiple imputation. For achieving this goal, the methodology consists in three steps, following Audigier and Niang 2022 <doi:10.1007/s11634-022-00519-1>. I) Missing data imputation using dedicated models. Four multiple imputation methods are proposed, two are based on joint modelling and two are fully sequential methods, as discussed in Audigier et al. (2021) <doi:10.48550/arXiv.2106.04424>. II) cluster analysis of imputed data sets. Six clustering methods are available (distances-based or model-based), but custom methods can also be easily used. III) Partition pooling. The set of partitions is aggregated using Non-negative Matrix Factorization based method. An associated instability measure is computed by bootstrap (see Fang, Y. and Wang, J., 2012 <doi:10.1016/j.csda.2011.09.003>). Among applications, this instability measure can be used to choose a number of clusters with missing values. The package also proposes several diagnostic tools to tune the number of imputed data sets, to tune the number of iterations in fully sequential imputation, to check the fit of imputation models, etc.

r-cohorttools 0.1.7
Propagated dependencies: r-survival@3.8-3 r-rsvg@2.7.0 r-mgcv@1.9-4 r-ggplot2@4.0.1 r-epi@2.61 r-diagrammersvg@0.1 r-diagrammer@1.0.11 r-cmprsk@2.2-12
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cohorttools
Licenses: GPL 2
Build system: r
Synopsis: Cohort Data Analyses
Description:

This package provides functions to make lifetables and to calculate hazard function estimate using Poisson regression model with splines. Includes function to draw simple flowchart of cohort study. Function boxesLx() makes boxes of transition rates between states. It utilizes Epi package Lexis data.

r-copularemada 1.7.5
Propagated dependencies: r-tensor@1.5.1 r-statmod@1.5.1 r-mc2d@0.2.1 r-matlab@1.0.4.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CopulaREMADA
Licenses: GPL 2+
Build system: r
Synopsis: Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic Test Accuracy Studies
Description:

The bivariate copula mixed model for meta-analysis of diagnostic test accuracy studies in Nikoloulopoulos (2015) <doi:10.1002/sim.6595> and Nikoloulopoulos (2018) <doi:10.1007/s10182-017-0299-y>. The vine copula mixed model for meta-analysis of diagnostic test accuracy studies accounting for disease prevalence in Nikoloulopoulos (2017) <doi:10.1177/0962280215596769> and also accounting for non-evaluable subjects in Nikoloulopoulos (2020) <doi:10.1515/ijb-2019-0107>. The hybrid vine copula mixed model for meta-analysis of diagnostic test accuracy case-control and cohort studies in Nikoloulopoulos (2018) <doi:10.1177/0962280216682376>. The D-vine copula mixed model for meta-analysis and comparison of two diagnostic tests in Nikoloulopoulos (2019) <doi:10.1177/0962280218796685>. The multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic tests with non-evaluable subjects in Nikoloulopoulos (2020) <doi:10.1177/0962280220913898>. The one-factor copula mixed model for joint meta-analysis of multiple diagnostic tests in Nikoloulopoulos (2022) <doi:10.1111/rssa.12838>. The multinomial six-variate 1-truncated D-vine copula mixed model for meta-analysis of two diagnostic tests accounting for within and between studies dependence in Nikoloulopoulos (2024) <doi:10.1177/09622802241269645>. The 1-truncated D-vine copula mixed models for meta-analysis of diagnostic accuracy studies without a gold standard (Nikoloulopoulos, 2025) <doi:10.1093/biomtc/ujaf037>.

r-colombiapi 0.3.1
Propagated dependencies: r-tibble@3.3.0 r-scales@1.4.0 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/lightbluetitan/colombiapi
Licenses: GPL 3
Build system: r
Synopsis: Access Colombian Data via APIs and Curated Datasets
Description:

This package provides a comprehensive interface to access diverse public data about Colombia through multiple APIs and curated datasets. The package integrates four different APIs: API-Colombia for Colombian-specific data including geography, culture, tourism, and government information; World Bank API for economic and demographic indicators; Nager.Date for public holidays; and REST Countries API for general country information. The package enables users to explore various aspects of Colombia such as geographic locations, cultural attractions, economic indicators, demographic data, and public holidays. Additionally, ColombiAPI includes curated datasets covering Bogota air stations, business and holiday dates, public schools, Colombian coffee exports, cannabis licenses, Medellin rainfall, malls in Bogota, as well as datasets on indigenous languages, student admissions and school statistics, forest liana mortality, municipal and regional data, connectivity and digital infrastructure, program graduates, vehicle counts, international visitors, and GDP projections. These datasets provide users with a rich and multifaceted view of Colombian social, economic, environmental, and technological information, making ColombiAPI a comprehensive tool for exploring Colombia's diverse data landscape. For more information on the APIs, see: API-Colombia <https://api-colombia.com/>, Nager.Date <https://date.nager.at/Api>, World Bank API <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>, and REST Countries API <https://restcountries.com/>.

r-complexlm 1.1.3
Propagated dependencies: r-pracma@2.4.6 r-mathjaxr@1.8-0 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/QuantumOfMoose/complexlm
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Linear Fitting for Complex Valued Data
Description:

This package provides tools for linear fitting with complex variables. Includes ordinary least-squares (zlm()) and robust M-estimation (rzlm()), and complex methods for oft used generics. Originally adapted from the rlm() functions of MASS and the lm() functions of stats'.

r-cutools 0.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CUtools
Licenses: GPL 3
Build system: r
Synopsis: Clinical Utility Tools to Analyze a Predictive Model
Description:

Package to analyze the clinical utility of a biomarker. It provides the clinical utility curve, clinical utility table, efficacy of a biomarker, clinical efficacy curve and tests to compare efficacy between markers.

r-cransearcher 1.0.0
Propagated dependencies: r-stringr@1.6.0 r-shinyjs@2.1.0 r-shiny@1.11.1 r-miniui@0.1.2 r-lubridate@1.9.4 r-dt@0.34.0 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://github.com/RhoInc/CRANsearcher
Licenses: Expat
Build system: r
Synopsis: RStudio Addin for Searching Packages in CRAN Database Based on Keywords
Description:

One of the strengths of R is its vast package ecosystem. Indeed, R packages extend from visualization to Bayesian inference and from spatial analyses to pharmacokinetics (<https://cran.r-project.org/web/views/>). There is probably not an area of quantitative research that isn't represented by at least one R package. At the time of this writing, there are more than 10,000 active CRAN packages. Because of this massive ecosystem, it is important to have tools to search and learn about packages related to your personal R needs. For this reason, we developed an RStudio addin capable of searching available CRAN packages directly within RStudio.

r-coda-base 1.0.5
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://mcomas.net/coda.base/
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Basic Set of Functions for Compositional Data Analysis
Description:

This package provides a minimum set of functions to perform compositional data analysis using the log-ratio approach introduced by John Aitchison (1982). Main functions have been implemented in c++ for better performance.

r-cophescan 1.4.2
Propagated dependencies: r-viridis@0.6.5 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pheatmap@1.0.13 r-matrixstats@1.5.0 r-magrittr@2.0.4 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-data-table@1.17.8 r-coloc@5.2.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/ichcha-m/cophescan
Licenses: GPL 3
Build system: r
Synopsis: Adaptation of the Coloc Method for PheWAS
Description:

This package provides a Bayesian method for Phenome-wide association studies (PheWAS) that identifies causal associations between genetic variants and traits, while simultaneously addressing confounding due to linkage disequilibrium. For details see Manipur et al (2024, Nature Communications) <doi:10.1038/s41467-024-49990-8>.

r-csstools 1.0
Propagated dependencies: r-sna@2.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cssTools
Licenses: GPL 2+
Build system: r
Synopsis: Cognitive Social Structure Tools
Description:

This package provides a collection of tools for estimating a network from a random sample of cognitive social structure (CSS) slices. Also contains functions for evaluating a CSS in terms of various error types observed in each slice.

r-csa 0.7.1
Propagated dependencies: r-scales@1.4.0 r-reshape2@1.4.5 r-raster@3.6-32 r-moments@0.14.1 r-lmoments@1.3-2 r-ggpubr@0.6.2 r-ggplot2@4.0.1 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/imarkonis/csa
Licenses: GPL 2
Build system: r
Synopsis: Cross-Scale Analysis Tool for Model-Observation Visualization and Integration
Description:

Integration of Earth system data from various sources is a challenging task. Except for their qualitative heterogeneity, different data records exist for describing similar Earth system process at different spatio-temporal scales. Data inter-comparison and validation are usually performed at a single spatial or temporal scale, which could hamper the identification of potential discrepancies in other scales. csa package offers a simple, yet efficient, graphical method for synthesizing and comparing observed and modelled data across a range of spatio-temporal scales. Instead of focusing at specific scales, such as annual means or original grid resolution, we examine how their statistical properties change across spatio-temporal continuum.

r-colorhcplot 1.5.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=colorhcplot
Licenses: GPL 3
Build system: r
Synopsis: Colorful Hierarchical Clustering Dendrograms
Description:

Build dendrograms with sample groups highlighted by different colors. Visualize results of hierarchical clustering analyses as dendrograms whose leaves and labels are colored according to sample grouping. Assess whether data point grouping aligns to naturally occurring clusters.

r-comparedf 2.3.5
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-openxlsx@4.2.8.1 r-htmltable@2.4.3 r-dplyr@1.1.4 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=compareDF
Licenses: Expat
Build system: r
Synopsis: Do a Git Style Diff of the Rows Between Two Dataframes with Similar Structure
Description:

Compares two dataframes which have the same column structure to show the rows that have changed. Also gives a git style diff format to quickly see what has changed in addition to summary statistics.

r-citools 0.6.1
Propagated dependencies: r-survival@3.8-3 r-mass@7.3-65 r-lme4@1.1-37 r-dplyr@1.1.4 r-boot@1.3-32 r-arm@1.14-4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/jthaman/ciTools
Licenses: GPL 3+
Build system: r
Synopsis: Confidence or Prediction Intervals, Quantiles, and Probabilities for Statistical Models
Description:

This package provides functions to append confidence intervals, prediction intervals, and other quantities of interest to data frames. All appended quantities are for the response variable, after conditioning on the model and covariates. This package has a data frame first syntax that allows for easy piping. Currently supported models include (log-) linear, (log-) linear mixed, generalized linear models, generalized linear mixed models, and accelerated failure time models.

r-clipp 1.1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=clipp
Licenses: GPL 3
Build system: r
Synopsis: Calculating Likelihoods by Pedigree Paring
Description:

This package provides a fast and general implementation of the Elston-Stewart algorithm that can calculate the likelihoods of large and complex pedigrees. References for the Elston-Stewart algorithm are Elston & Stewart (1971) <doi:10.1159/000152448>, Lange & Elston (1975) <doi:10.1159/000152714> and Cannings et al. (1978) <doi:10.2307/1426718>.

r-con2lki 0.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=con2lki
Licenses: Expat
Build system: r
Synopsis: Calculate the Dutch Air Quality Index (LKI)
Description:

Calculates the dutch air quality index (LKI). This index was created on the basis of scientific studies of the health effects of air pollution. From these studies it can be deduced at what concentrations a certain percentage of the population can be affected. For more information see: <https://www.rivm.nl/bibliotheek/rapporten/2014-0050.pdf>.

r-covtracer 0.0.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/genentech/covtracer
Licenses: Expat
Build system: r
Synopsis: Contextualizing Tests
Description:

Dissects a package environment or covr coverage object in order to cross reference tested code with the lines that are evaluated, as well as linking those evaluated lines to the documentation that they are described within. Connecting these three pieces of information provides a mechanism of linking tests to documented behaviors.

r-cppsim 0.2
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://ischlo.github.io/cppSim/
Licenses: Expat
Build system: r
Synopsis: Fast and Memory Efficient Spatial Interaction Models
Description:

Building on top of the RcppArmadillo linear algebra functionalities to do fast spatial interaction models in the context of urban analytics, geography, transport modelling. It uses the Newton root search algorithm to determine the optimal cost exponent and can run country level models with thousands of origins and destinations. It aims at implementing an easy approach based on matrices, that can originate from various routing and processing steps earlier in an workflow. Currently, the simplest form of production, destination and doubly constrained models are implemented. Schlosser et al. (2023) <doi:10.48550/arXiv.2309.02112>.

r-cnps 1.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CNPS
Licenses: GPL 2
Build system: r
Synopsis: Nonparametric Statistics
Description:

We unify various nonparametric hypothesis testing problems in a framework of permutation testing, enabling hypothesis testing on multi-sample, multidimensional data and contingency tables. Most of the functions available in the R environment to implement permutation tests are single functions constructed for specific test problems; to facilitate the use of the package, the package encapsulates similar tests in a categorized manner, greatly improving ease of use. We will all provide functions for self-selected permutation scoring methods and self-selected p-value calculation methods (asymptotic, exact, and sampling). For two-sample tests, we will provide mean tests and estimate drift sizes; we will provide tests on variance; we will provide paired-sample tests; we will provide correlation coefficient tests under three measures. For multi-sample problems, we will provide both ordinary and ordered alternative test problems. For multidimensional data, we will implement multivariate means (including ordered alternatives) and multivariate pairwise tests based on four statistics; the components with significant differences are also calculated. For contingency tables, we will perform permutation chi-square test or ordered alternative.

r-carat 2.2.1
Propagated dependencies: r-stringr@1.6.0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 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=carat
Licenses: GPL 2+
Build system: r
Synopsis: Covariate-Adaptive Randomization for Clinical Trials
Description:

This package provides functions and command-line user interface to generate allocation sequence by covariate-adaptive randomization for clinical trials. The package currently supports six covariate-adaptive randomization procedures. Three hypothesis testing methods that are valid and robust under covariate-adaptive randomization are also available in the package to facilitate the inference for treatment effect under the included randomization procedures. Additionally, the package provides comprehensive and efficient tools to allow one to evaluate and compare the performance of randomization procedures and tests based on various criteria. See Ma W, Ye X, Tu F, and Hu F (2023) <doi: 10.18637/jss.v107.i02> for details.

r-conigrave 0.4.4
Propagated dependencies: r-stringr@1.6.0 r-stringdist@0.9.15 r-ppcor@1.1 r-mitools@2.4 r-miceadds@3.18-36 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://cran.r-project.org/package=Conigrave
Licenses: GPL 3
Build system: r
Synopsis: Flexible Tools for Multiple Imputation
Description:

This package provides a set of tools that can be used across data.frame and imputationList objects.

r-cder 0.3-1
Propagated dependencies: r-stringr@1.6.0 r-readr@2.1.6 r-lubridate@1.9.4 r-glue@1.8.0 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://github.com/mkoohafkan/cder
Licenses: GPL 3+
Build system: r
Synopsis: Interface to the California Data Exchange Center (CDEC)
Description:

Connect to the California Data Exchange Center (CDEC) Web Service <http://cdec.water.ca.gov/>. CDEC provides a centralized database to store, process, and exchange real-time hydrologic information gathered by various cooperators throughout California. The CDEC Web Service <http://cdec.water.ca.gov/dynamicapp/wsSensorData> provides a data download service for accessing historical records.

r-cbl 0.1.3
Propagated dependencies: r-lightgbm@4.6.0 r-glmnet@4.1-10 r-foreach@1.5.2 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/dswatson/cbl
Licenses: GPL 3+
Build system: r
Synopsis: Causal Discovery under a Confounder Blanket
Description:

This package provides methods for learning causal relationships among a set of foreground variables X based on signals from a (potentially much larger) set of background variables Z, which are known non-descendants of X. The confounder blanket learner (CBL) uses sparse regression techniques to simultaneously perform many conditional independence tests, with complementary pairs stability selection to guarantee finite sample error control. CBL is sound and complete with respect to a so-called "lazy oracle", and works with both linear and nonlinear systems. For details, see Watson & Silva (2022) <arXiv:2205.05715>.

r-cmhnpa 1.1.1
Propagated dependencies: r-mass@7.3-65 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CMHNPA
Licenses: GPL 3
Build system: r
Synopsis: Cochran-Mantel-Haenszel and Nonparametric ANOVA
Description:

Cochran-Mantel-Haenszel methods (Cochran (1954) <doi:10.2307/3001616>; Mantel and Haenszel (1959) <doi:10.1093/jnci/22.4.719>; Landis et al. (1978) <doi:10.2307/1402373>) are a suite of tests applicable to categorical data. A competitor to those tests is the procedure of Nonparametric ANOVA which was initially introduced in Rayner and Best (2013) <doi:10.1111/anzs.12041>. The methodology was then extended in Rayner et al. (2015) <doi:10.1111/anzs.12113>. This package employs functions related to both methodologies and serves as an accompaniment to the book: An Introduction to Cochranâ Mantelâ Haenszel and Non-Parametric ANOVA. The package also contains the data sets used in that text.

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