Package: pmlsp
Title: Partial Maximum Likelihood Estimation of Spatial Probit Models
Version: 1.0.1
Description: Estimate spatial autoregressive nonlinear probit models with and without autoregressive disturbances using partial maximum likelihood estimation. Estimation and inference regarding marginal effects is also possible. For more details see Bille and Leorato (2020) <doi:10.1080/07474938.2019.1682314>.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.2
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Imports: abind, Matrix, matrixcalc, maxLik, methods, minqa, mvtnorm,
        numDeriv, qrng, spatialreg, spdep, stats, utils
Authors@R: 
    c(
      person(
        given = "Daniele",
        family = "Spinelli",
        role = c("aut", "cre"),
        email = "daniele.spinelli@unimib.it"
      ),
      person(
        given = c("Anna", "Gloria"),
        family = "Bille'",
        role = "aut"
      ),
      person(
        given = "Samantha",
        family = "Leorato",
        role = "aut"
      )
    )
Depends: R (>= 3.5)
LazyData: true
URL: https://github.com/d-spinelli/pmlsp
BugReports: https://github.com/d-spinelli/pmlsp/issues
NeedsCompilation: no
Packaged: 2026-01-27 14:20:09 UTC; Ospite
Author: Daniele Spinelli [aut, cre],
  Anna Gloria Bille' [aut],
  Samantha Leorato [aut]
Maintainer: Daniele Spinelli <daniele.spinelli@unimib.it>
Repository: CRAN
Date/Publication: 2026-01-31 19:00:02 UTC
Built: R 4.6.0; ; 2026-04-26 09:30:29 UTC; unix
