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r-comorbidity
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public |
Computing Comorbidity Scores
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2026-04-10 |
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r-icd.data
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public |
International Classifcation of Diseases (ICD) Data
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2026-04-08 |
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r-medicalcoder
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public |
A Unified and Longitudinally Aware Framework for ICD-Based
Comorbidity Assessment
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2026-04-08 |
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r-synchronicity
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public |
Boost Mutex Functionality in R
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2026-03-27 |
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r-forestploter
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public |
Create a Flexible Forest Plot
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2026-03-27 |
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r-btw
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public |
A Toolkit for Connecting R and Large Language Models
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2026-01-06 |
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r-mcptools
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public |
Model Context Protocol Servers and Clients
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2026-01-06 |
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shinyswatch
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public |
Bootswatch + Bootstrap 5 themes for Shiny.
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2025-04-25 |
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r-clusterr
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public |
Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids
and Affinity Propagation Clustering
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2025-03-25 |
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r-tidyclust
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public |
A Common API to Clustering
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2025-03-25 |
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r-referenceintervals
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public |
Reference Intervals
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2025-03-25 |
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r-gamlss.add
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public |
Interface for extra smooth functions including tensor products, neural networks and decision trees.
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2025-03-25 |
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r-r-reflimr
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public |
Uses an indirect method based on truncated quantile-quantile plots to estimate reference limits from routine laboratory data. The principle of the method was developed by Robert G Hoffmann (1963) <doi:10.1001/jama.1963.03060110068020> and modified by Georg Hoffmann and colleagues (2015) <doi:10.1515/labmed-2015-0104>, (2020) <doi:10.1515/labmed-2020-0005>, and (2022) <doi:10.1007/978-3-031-15509-3_31>.
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2025-03-25 |
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r-dalextra
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public |
Provides wrapper of various machine learning models. In applied machine learning, there is a strong belief that we need to strike a balance between interpretability and accuracy. However, in field of the interpretable machine learning, there are more and more new ideas for explaining black-box models, that are implemented in 'R'. 'DALEXtra' creates 'DALEX' Biecek (2018) <arXiv:1806.08915> explainer for many type of models including those created using 'python' 'scikit-learn' and 'keras' libraries, and 'java' 'h2o' library. Important part of the package is Champion-Challenger analysis and innovative approach to model performance across subsets of test data presented in Funnel Plot.
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2025-03-25 |
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r-uwot
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public |
An implementation of the Uniform Manifold Approximation and Projection dimensionality reduction by McInnes et al. (2018) <doi:10.48550/arXiv.1802.03426>. It also provides means to transform new data and to carry out supervised dimensionality reduction. An implementation of the related LargeVis method of Tang et al. (2016) <doi:10.48550/arXiv.1602.00370> is also provided. This is a complete re-implementation in R (and C++, via the 'Rcpp' package): no Python installation is required. See the uwot website (<https://github.com/jlmelville/uwot>) for more documentation and examples.
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2025-03-25 |
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r-mvmr
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public |
An R package for performing multivariable Mendelian randomization analyses.
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2025-03-25 |
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r-twosamplemr
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public |
A package for performing Mendelian randomization using GWAS summary data. It uses the IEU GWAS database <https://gwas.mrcieu.ac.uk/> to automatically obtain data, and a wide range of methods to run the analysis. You can use the MR-Base web app <https://www.mrbase.org/> to try out a limited range of the functionality in this package, but for any serious work we strongly recommend using this R package.
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2025-03-25 |
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r-ieugwasr
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public |
Interface to the 'OpenGWAS' database API <https://gwas-api.mrcieu.ac.uk/>. Includes a wrapper to make generic calls to the API, plus convenience functions for specific queries.
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2025-03-25 |
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r-mrpresso
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public |
MR-PRESSO (Mendelian Randomization Pleiotropy RESidual Sum and Outlier) is a framework that allows for the evaluation of pleiotropy in multi-instrument Mendelian Randomization utilizing genome-wide summary association statistics.
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2025-03-25 |
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r-mrmix
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public |
This package gives robust estimation of causal effects by conducting Mendelian randomization analysis using a mixture model approach.
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2025-03-25 |
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r-radialmr
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public |
Non-linear Mendelian randomization analysis to investigate the shape of exposure-outcome relationships.
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2025-03-25 |
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r-mrinstruments
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public |
Non-linear Mendelian randomization analysis to investigate the shape of exposure-outcome relationships.
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2025-03-25 |
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r-mr.raps
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public |
Mendelian randomization is a method of identifying and estimating a confounded causal effect using genetic instrumental variables. This packages implements methods for two-sample Mendelian randomization with summary statistics by using Robust Adjusted Profile Score (RAPS). References: Qingyuan Zhao, Jingshu Wang, Jack Bowden, Dylan S. Small. Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score. <arXiv:1801.09652>.
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2025-03-25 |
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r-nlmr
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public |
Non-linear Mendelian randomization analysis to investigate the shape of exposure-outcome relationships.
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2025-03-25 |
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r-gamlss.ggplots
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public |
Functions for plotting Generalized Additive Models for Location Scale and Shape from the 'gamlss' package, Stasinopoulos and Rigby (2007) <doi:10.18637/jss.v023.i07>, using the graphical methods from 'ggplot2'.
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2025-03-25 |
