Trends

Trending R packages reveal a strong focus on advanced statistical modeling and analysis. We see significant interest in time series analysis (VIRF), network analysis (ergm.rank, degreenet), and multivariate methods (cramer). The rise of 'EQUALSTATS' highlights a demand for user-friendly tools democratizing statistical analysis for non-coders.

Another key trend is the expansion of specialized analytical capabilities. This includes tools for causal inference (EvidenceSynthesis), fisheries stock assessment (r4ss), and antigenic cartography (Racmacs). The popularity of packages like RTextTools and GoodmanKruskal underscores the growing need for robust text analysis and categorical data association methods.

Finally, infrastructure and utility packages are also gaining traction. This is evidenced by the increased use of ROAuth for authentication, W3CMarkupValidator for web standards compliance, and nat.utils for file system management. The rise of packages like fractional and ptinpoly suggests a focus on enhancing computational efficiency and precision within specific domains.