tma: Transmodal Analysis (TMA)

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" <doi:10.18608/jla.2025.8423>.

Version: 0.3.0
Depends: R (≥ 3.6), data.table
Imports: stats, methods, rlang, jsonlite, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (≥ 2.1.0), rstudioapi, knitr, rmarkdown
Published: 2025-08-25
DOI: 10.32614/CRAN.package.tma
Author: Cody L Marquart ORCID iD [aut, cre], Muhammad Hasnat Ashiq [aut], David Williamson Shaffer [aut]
Maintainer: Cody L Marquart <cody.marquart at wisc.edu>
License: GPL-3
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: tma results

Documentation:

Reference manual: tma.html , tma.pdf

Downloads:

Package source: tma_0.3.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): tma_0.3.0.tgz, r-oldrel (x86_64): tma_0.3.0.tgz

Linking:

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