tma0.3.1 package

Transmodal Analysis (TMA)

accumulate_contexts

accumulate_contexts

accumulate_networks

fast accumulate networks

accumulate_threads

accumulate_threads

accumulate

Accumulate Connections from a Multidimensional Array and Context Model

adjacency_key

Adjacency Key

apply_tensor

Apply windowing and weighting to context data for network accumulation...

as.character.adjacency.key

Convert Adjacency Key to Character (S3 method)

as.double.adjacency.key

Convert Adjacency Key to Double (S3 method)

as.matrix.ena.matrix

Matrix without metadata

as.matrix.network.connections

Convert Network Connections to Matrix (S3 method)

as.network.connection

Re-class vector as network.connection

as.qe.code

Convert a vector to 'qe.code' class

as.qe.data

Convert an object to 'qe.data' class

as.qe.horizon

Convert a vector to 'qe.horizon' class

as.qe.metadata

Convert a vector to 'qe.metadata' class

as.qe.unit

Convert a vector to 'qe.unit' class

as.undirected.vector

Extract Upper Triangular Elements

as.unordered.default

Default Method for as.unordered

as.unordered.ordered.ena.connections

Unorder Connections in a Matrix

as.unordered.ordered.row.connections

Convert Ordered Row Connections to Unordered (S3 method)

as.unordered

Convert to Unordered Factor

ATTR_NAMES

Special attribute names for context columns

cash-.network.matrix

Extract Metadata or Columns from Network Matrix (S3 method)

choose_two

n choose 2

colSums.ena.matrix

Column Sums for ENA Matrices (S3 method)

context_tensor

Generate a multidimensional array for window and weight parameters

contexts

Create Contexts for Units of Analysis

conversation_rules

Conversation rules

decay

Internal: Decay function factory (legacy)

find_meta_cols

Find metadata columns

hoo

Apply a Subsetting Rule to TMA Contexts (Internal)

is.qe.code

Check if an object is of class 'qe.code'

is.qe.data

Check if an object is of class 'qe.data'

is.qe.horizon

Check if an object is of class 'qe.horizon'

is.qe.metadata

Check if an object is of class 'qe.metadata'

is.qe.unit

Check if an object is of class 'qe.unit'

names.network.connections

Title

namesToAdjacencyKey

Names to Adjacency Key

print.network.matrix

Print Method for Network Matrix (S3 method)

remove_meta_data

Remove meta columns from a data.table or data.frame

rules

Capture Subsetting Rules as Expressions

simple_window

Internal: Simple window decay (legacy)

tma.conversations

Find conversations by unit

tma

TMA for ENA

units

Set Units of Analysis for a TMA Model

view

Interactive Conversation Viewer

windows_weights

Deprecated Alias for context_tensor

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>.

  • Maintainer: Cody L Marquart
  • License: GPL-3
  • Last published: 2025-09-19