Package: spmixW
Title: Bayesian Spatial Panel Data Models with Convex Combinations of
        Weight Matrices
Version: 0.2.2
Authors@R: c(
    person("Mustapha Wasseja", "Mohammed",
           email = "muswaseja@gmail.com",
           role = c("aut", "cre")))
Description: Bayesian Markov chain Monte Carlo (MCMC) estimation of spatial
    panel data models including Spatial Autoregressive (SAR), Spatial Durbin
    Model (SDM), Spatial Error Model (SEM), Spatial Durbin Error Model (SDEM),
    and Spatial Lag of X (SLX) specifications with fixed effects. Supports
    convex combinations of multiple spatial weight matrices and Bayesian Model
    Averaging (BMA) over subsets of weight matrices. Implements the convex
    combination spatial weight matrix methodology of Debarsy and LeSage (2021)
    <doi:10.1080/07350015.2020.1840993> and the Bayesian spatial panel data
    models of LeSage and Pace (2009, ISBN:9781420064247).
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Imports: Matrix, MASS, coda
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, spdep, sf, ggplot2,
        broom
Config/testthat/edition: 3
Encoding: UTF-8
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-04-09 18:17:38 UTC; musta
Author: Mustapha Wasseja Mohammed [aut, cre]
Maintainer: Mustapha Wasseja Mohammed <muswaseja@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-16 09:20:02 UTC
Built: R 4.6.0; ; 2026-04-27 13:07:05 UTC; unix
