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First public release.
rMASC() simulates the Multi-Attribute Search and Choice
(MASC) model of Gluth, Deakin and Rieskamp (2026) — sequential
information search, Bayesian belief updating, and choice.Sigma_belief argument enables the multivariate
MASC-C belief update: when the assumed correlation
structure is non-diagonal, observing one attribute updates beliefs about
correlated attributes via a Kalman filter (“belief spread”). With a
diagonal or NULL Sigma_belief the model
reduces exactly to the original univariate MASC update.Sigma_true argument generates stimuli with a
specified correlation structure (a matrix, or a single uniform
off-diagonal correlation).hotelgluth2024 dataset from the hotel-choice
experiment.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.