DESCRIPTION

Package: BGSL
Title: Bayesian Structural Learning of Block Graphs
Version: 0.1
Authors@R: 
    person(given = "Alessandro",
           family = "Colombi",
           role = c("aut", "cre"),
           email = "colombi.alessandro@hotmail.it",
           comment = c(ORCID = "YOUR-ORCID-ID"))
Description: A R package for Bayesian structual learning in undirected graphical models which allows to impose a block structure. This kind of modeling is applied to functional data analysis, improving the classical smoothing technique.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
RdMacros: mathjaxr
Depends: 
    R (>= 4.0.2)
LinkingTo: 
    Rcpp (>= 1.0.5),
    RcppParallel (>= 5.0.2),
    RcppEigen (>= 0.3.3.7.0)
Imports: 
    Rcpp,
    mathjaxr (>= 1.0-2)
Suggests: 
    plot.matrix (>= 1.5.2),
    fields (>= 11.6),
    tidyverse