Converts R regression model outputs into publication-ready LaTeX or HTML tables for easy model comparison.
texreg is an R package that converts regression model outputs from statistical software into formatted tables suitable for publication. It automates the creation of LaTeX, HTML, or MS Word tables containing coefficients, standard errors, significance indicators, and fit statistics, solving the problem of manually assembling regression results for papers or reports.
Researchers, data analysts, and academics using R for statistical modeling who need to present regression results in publications, theses, or professional documents.
Developers choose texreg for its ability to produce publication-ready tables with minimal effort, support for multiple output formats, and flexibility in customizing table appearance, which streamlines the reporting process compared to manual table construction.
Conversion of R Regression Output to LaTeX or HTML Tables
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Generates tables in LaTeX, HTML, MS Word, and console output, catering to diverse publication needs as highlighted in the key features.
Combines multiple statistical models into single tables for side-by-side analysis, as stated in the README.
Allows extensive customization of table layout, content, and styling, making it adaptable to specific requirements.
Handles standard errors, p-values, and significance stars automatically, reducing manual work for statistical reporting.
Relies on a journal article, vignette, and multiple StackOverflow posts for guidance, which can make finding comprehensive help inefficient and fragmented.
Only functions within the R ecosystem, so it's not suitable for projects using other programming languages or statistical tools, limiting cross-environment use.
Implementing support for new model types requires understanding of texreg's internal structure, as indicated by the need to refer to StackOverflow for custom implementations.