TMA is an R package for Transmodal Analysis, a computational framework for analyzing complex multimodal data in Quantitative Ethnography. It extends state-dependent models such as Epistemic Network Analysis (ENA) to account for diverse data streams — addressing challenges like varying temporal scales and learner characteristics — to improve the robustness and interpretability of findings.
TMA imports, preprocesses, and accumulates coded data across modalities with granular control over windows and weights, producing connection structures that downstream packages such as rENA and ONA can model and visualize.
For methodological details, see Shaffer, Wang, and Ruis (2025), “Transmodal Analysis,” https://doi.org/10.18608/jla.2025.8423.
Installation
TMA is distributed through the Epistemic Analytics CRAN-style repository at qe-libs.org/cran. Add the repository, then install as you would any CRAN package. TMA depends on libqe, which is served from the same repository, so keep the cranqe entry in repos.
# Register the repositories once per session (cranqe first, then CRAN):
options(repos = c(
cranqe = "https://qe-libs.org/cran",
CRAN = "https://cloud.r-project.org"
))
install.packages("tma")Or as a single call:
install.packages(
"tma",
repos = c(
cranqe = "https://qe-libs.org/cran",
CRAN = "https://cloud.r-project.org"
)
)
cran.qe-libs.orgalso works and resolves to the same repository.
Development builds
Every push to main publishes a development build with a .9000-style version suffix. Install a specific development version (see the version listed in the repository index) with:
remotes::install_version(
"tma",
version = "0.3.2.9000", # replace with the version shown in the index
repos = c(
cranqe = "https://qe-libs.org/cran",
CRAN = "https://cloud.r-project.org"
)
)Source
Source code and issues live on GitLab: https://gitlab.com/epistemic-analytics/qe-packages/tma
License
GPL-3. See LICENSE.