Package: SCDA
Type: Package
Title: Spatially-Clustered Data Analysis
Version: 0.0.1
Description: Contains functions for statistical data analysis based on spatially-clustered techniques.
    The package allows estimating the spatially-clustered spatial regression models presented in Cerqueti, Maranzano \& Mattera (2024), "Spatially-clustered spatial autoregressive models
    with application to agricultural market concentration in Europe", arXiv preprint 2407.15874 <doi:10.48550/arXiv.2407.15874>.
    Specifically, the current release allows the estimation of the spatially-clustered linear regression model (SCLM), the spatially-clustered spatial autoregressive model (SCSAR),
    the spatially-clustered spatial Durbin model (SCSEM), and the spatially-clustered linear regression model with spatially-lagged exogenous covariates (SCSLX).
License: GPL (>= 2)
Imports:
        spatialreg,sp,spdep,utils,rlang,performance,stats,methods,dplyr
Depends: R (>= 3.5.0)
Suggests: tidyverse, ggplot2, sf
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.3.1
LazyData: true
Maintainer: Paolo Maranzano <pmaranzano.ricercastatistica@gmail.com>
Authors@R: 
    c(person(given = "Paolo",
             family = "Maranzano",
             role = c("aut","cre","cph"),
             email = "pmaranzano.ricercastatistica@gmail.com",
             comment = c(ORCID = "0000-0002-9228-2759")),
      person(given = "Raffaele",
             family = "Mattera",
             role = c("aut","cph"),
             email = "raffaele.mattera@uniroma1.it",
             comment = c(ORCID = "0000-0001-8770-7049"))
             )
NeedsCompilation: no
Packaged: 2024-10-10 17:05:52 UTC; paulm
Author: Paolo Maranzano [aut, cre, cph]
    (<https://orcid.org/0000-0002-9228-2759>),
  Raffaele Mattera [aut, cph] (<https://orcid.org/0000-0001-8770-7049>)
Repository: CRAN
Date/Publication: 2024-10-14 12:20:04 UTC
