lpmec provides tools for analyzing latent variable models with measurement error correction. Particularly in scenarios with identification restrictions. It implements various correction methods. Partitioning + bootstrapping for standard errors. [On CRAN]
GitHub repository with 5 stars and 0 forks.
Language: R
Topics: attenuation-bias, identification-restrictions, latent-traits, measurement-error
2026-06-05: 5 stars and 0 forks.
An R package for single-cell and spatial omics analysis, integration, interpretation, and visualization.
GitHub repository with 254 stars and 31 forks.
Trending score: 0.57; stars gained: +2; forks gained: +0.
Language: R
Produce PRISMA-2020 compliant flow diagrams
GitHub repository with 276 stars and 116 forks.
Trending score: 0.49; stars gained: +2; forks gained: +0.
Language: R
Topics: prisma, review, systematic, visualization, meta-analysis, reporting
Tools for making beautiful & useful command line interfaces
GitHub repository with 711 stars and 85 forks.
Trending score: 0.37; stars gained: +1; forks gained: +0.
Language: R
Topics: r, cli
GitHub repository with 10 stars and 0 forks.
Trending score: 0.33; stars gained: +1; forks gained: -1.
Language: R
📊 A Scalable Phenotyping and Statistical Pipeline for UK Biobank RAP Data Analysis
GitHub repository with 33 stars and 4 forks.
Trending score: 0.33; stars gained: +1; forks gained: +0.
Language: R
Constituent history of the S&P 500 from various data sources
GitHub repository with 35 stars and 13 forks.
Trending score: 0.33; stars gained: +1; forks gained: +1.
Language: R
Topics: backtesting, equity-data, equity-research, sp500, sp500-data-analysis