This package is considered a duplicate. The official version of this package is found at:https://kiante-fernandez.r-universe.dev/masc

Package: masc 0.1.0

Kiante Fernandez

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.

Authors:Kiante Fernandez [aut, cre, cph]

masc_0.1.0.tar.gz
masc_0.1.0.tar.gz(r-4.7-arm64)masc_0.1.0.tar.gz(r-4.7-x86_64)masc_0.1.0.tar.gz(r-4.6-arm64)masc_0.1.0.tar.gz(r-4.6-x86_64)
masc_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
masc/json (API)
NEWS

# Install 'masc' in R:

install.packages('masc', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kiante-fernandez/masc/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

Datasets:

hotelgluth2024 - Hotel Choice Experiment Dataset from Gluth et al.

On CRAN:

openblas cpp

3.70 score 20 scripts 1 exports 2 dependencies

Last updated from:03ea12c6e9. Checks:6 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	139
linux-devel-x86_64	OK	148
source / vignettes	OK	264
linux-release-arm64	OK	153
linux-release-x86_64	OK	141
wasm-release	OK	145

Exports:rMASC

Dependencies:Rcpp RcppArmadillo