masc: Simulate the Multi-Attribute Search and Choice (MASC) Model

Simulates the Multi-Attribute Search and Choice (MASC) model of Gluth, Deakin and Rieskamp (2026) <doi:10.1037/rev0000614> for multi-attribute decision-making, including sequential information search, Bayesian belief updating, and choice. Beliefs may be treated as univariate (independent attributes), or multivariate over correlated attributes ('MASC-C'), in which observing one attribute updates beliefs about correlated attributes via a Kalman filter.

Version:	0.1.0
Depends:	R (≥ 2.10)
Imports:	Rcpp, stats
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0), broom, patchwork, ggplot2, dplyr, tibble, purrr
Published:	2026-05-27
DOI:	10.32614/CRAN.package.masc
Author:	Kiante Fernandez [aut, cre, cph]
Maintainer:	Kiante Fernandez <kiantefernan at gmail.com>
BugReports:	https://github.com/kiante-fernandez/masc/issues
License:	MIT + file LICENSE
URL:	https://github.com/kiante-fernandez/masc
NeedsCompilation:	yes
Materials:	README, NEWS
CRAN checks:	masc results

Documentation:

Reference manual:	masc.html , masc.pdf
Vignettes:	Attribute Weights and Attention with Varying Sampling Noise (source, R code) Overall Value and Predicted Number of Fixations (source, R code) MASC Parameters and Reward Rate (source, R code) Response Time and The Number of Options (source, R code) Simulating Time Pressure with Varying Levels of Search Sensitivity (source, R code)

Downloads:

Package source:	masc_0.1.0.tar.gz
Windows binaries:	r-devel: masc_0.1.0.zip, r-release: masc_0.1.0.zip, r-oldrel: masc_0.1.0.zip
macOS binaries:	r-release (arm64): masc_0.1.0.tgz, r-oldrel (arm64): masc_0.1.0.tgz, r-release (x86_64): masc_0.1.0.tgz, r-oldrel (x86_64): masc_0.1.0.tgz

Linking:

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