Package: spifa
Type: Package
Title: Bayesian Spatial Item Factor Analysis
Version: 0.1.0
Encoding: UTF-8
Authors@R: c(
    person(c("Erick", "A."), "Chacón-Montalván", , "erick.chaconmontalvan@wur.nl",
        role = c("aut", "cre"), comment = c(ORCID = "0000-0001-8068-1034")),
    person("Emanuele", "Giorgi", role = "ctb"),
    person("Benjamin M.", "Taylor", role = "ctb"))
Description: Fits spatial item factor analysis models for binary responses, following
    Chacón-Montalván, E. A., Parry, L., Giorgi, E., Torres, P., Orellana, J. D. Y.,
    Moraga, P., and Taylor, B. M. (2025) <doi:10.1214/25-AOAS2072>, using full Bayesian
    inference via adaptive Metropolis-Hastings within Gibbs sampling and auxiliary
    variables with a probit link function. The latent factors are modelled as the sum of a
    predictor effect, a multivariate Gaussian process capturing spatial dependence, and a
    multivariate non-spatial term, allowing users to fit and predict spatially-referenced
    constructs such as food insecurity or socioeconomic indices. Standard exploratory and
    confirmatory item factor analysis are supported as particular cases, simply by
    dropping the spatial structure.
License: GPL-3
URL: https://github.com/ErickChacon/spifa,
        https://ErickChacon.github.io/spifa/
Depends: R (>= 4.1.0)
BugReports: https://github.com/ErickChacon/spifa/issues
Imports: Rcpp (>= 0.12.13), RcppTN, tibble, dplyr, tidyr, sf, ggplot2,
        posterior, ggridges, patchwork
LinkingTo: Rcpp, RcppArmadillo, RcppTN
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), mirt, gstat
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
NeedsCompilation: yes
Packaged: 2026-10-13 14:41:24 UTC; rstudio
Author: Erick A. Chacón-Montalván [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-8068-1034>),
  Emanuele Giorgi [ctb],
  Benjamin M. Taylor [ctb]
Maintainer: Erick A. Chacón-Montalván <erick.chaconmontalvan@wur.nl>
Repository: CRAN
Date/Publication: 2026-10-22 10:30:02 UTC
