A robust computational framework for analyzing complex multimodal data. Extends existing state-dependent models to account for diverse data streams, addressing challenges such as varying temporal scales and learner characteristics to improve the robustness and interpretability of findings. For methodological details, see Shaffer, Wang, and Ruis (2025) "Transmodal Analysis"
TMA is an R package for Transmodal Analysis, designed to support research and analysis in Quantitative Ethnography. Working alongside the rENA package, TMA provides tools for importing, preprocessing, and analyzing data, enabling researchers to integrate and visualize multiple data modalities for deeper insights into complex learning and interaction processes.
Coming Soon
install.packages("tma", repos = c("https://cran.qe-libs.org", "https://cran.rstudio.org"))