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:	0.3.1
Depends:	R (≥ 3.6), data.table
Imports:	stats, methods, rlang, Rcpp
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	testthat (≥ 2.1.0), rstudioapi, knitr, rmarkdown, jsonlite
Published:	2025-09-19
DOI:	10.32614/CRAN.package.tma
Author:	Cody L Marquart [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_0.3.1.tar.gz
Windows binaries:	r-devel: tma_0.3.1.zip, r-release: tma_0.3.1.zip, r-oldrel: tma_0.3.1.zip
macOS binaries:	r-release (arm64): tma_0.3.1.tgz, r-oldrel (arm64): tma_0.3.1.tgz, r-release (x86_64): tma_0.3.1.tgz, r-oldrel (x86_64): tma_0.3.1.tgz
Old sources:	tma archive

Reverse dependencies:

Reverse imports:

rENA

Linking:

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