TVA Models in 'Stan' using 'R' and 'StanTVA'
Retrieve parameters aliases
Model coefficients
Extract samples from a fitted RStanTVA model
Retrieve fitted parameter values
Fixed effects
Log-likelihood
Extract Stan code
Retrieve model parameter names
Maximum-likelihood estimation
Predict parameter values
Print StanTVA fit
Random effects
Read StanTVA fit
Read TVA data
Objects exported from other packages
RStanTVA: TVA Models in 'Stan' using 'R' and 'StanTVA'
Draw posterior samples from an RStanTVA model
Show StanTVA code
Show StanTVA model
Read StanTVA fit from CSV
Generate StanTVA code
StanTVA model
StanTVA path
StanTVA code class
StanTVA fit class
StanTVA model class
Summary method for RStanTVA fits
Generate typical descriptive statistics for TVA reports
Write StanTVA fit
Write StanTVA model
Write TVA data
'Stan' implementation of the Theory of Visual Attention (TVA; Bundesen, 1990; <doi:10.1037/0033-295X.97.4.523>) and numerous convenience functions for generating, compiling, fitting, and analyzing TVA models.