Functions for fitting general linear structural
    equation models (with observed and latent variables) using the RAM approach, 
    and for fitting structural equations in observed-variable models by two-stage least squares.

Style sheets and JavaScript assets for 'shiny.semantic' package.

It offers functions for creating dashboard with Fomantic UI.

Cleans and formats language transcripts guided by a series of transformation options (e.g., lemmatize words, omit stopwords, split strings across rows). 'SemanticDistance' computes two distinct metrics of cosine semantic distance (experiential and embedding). These values reflect pairwise cosine distance between different elements or chunks of a language sample. 'SemanticDistance' can process monologues (e.g., stories, ordered text), dialogues (e.g., conversation transcripts), word pairs arrayed in columns, and unordered word lists. Users specify options for how they wish to chunk distance calculations. These options include: rolling ngram-to-word distance (window of n-words to each new word), ngram-to-ngram distance (2-word chunk to the next 2-word chunk), pairwise distance between words arrayed in columns, matrix comparisons (i.e., all possible pairwise distances between words in an unordered list), turn-by-turn distance (talker to talker in a dialogue transcript). 'SemanticDistance' includes visualization options for analyzing distances as time series data and simple semantic network dynamics (e.g., clustering, undirected graph network).

Performs exploratory factor analysis on language model embeddings
    of psychological scale items. Embeds item text with sentence transformers
    or other language models, transforms the embeddings into item-by-item
    similarity matrices, and extracts latent factor structure via standard
    exploratory factor analysis. Supports embedding-adapted parallel analysis,
    several similarity transforms (atomic reversed, SQuID centering,
    mean-centered Pearson), and fit diagnostics tailored to embedding matrices
    (TEFI, RMSR, CAF, McDonald's omega). The underlying methods are documented
    with full citations in the corresponding function help pages. Returns
    objects compatible with 'psych' and 'EFAtools' workflows.