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>.
| Version: |
1.0.1 |
| Depends: |
R (≥ 3.5) |
| Imports: |
abind, Matrix, matrixcalc, maxLik, methods, minqa, mvtnorm, numDeriv, qrng, spatialreg, spdep, stats, utils |
| Suggests: |
testthat (≥ 3.0.0) |
| Published: |
2026-01-31 |
| DOI: |
10.32614/CRAN.package.pmlsp (may not be active yet) |
| Author: |
Daniele Spinelli [aut, cre],
Anna Gloria Bille' [aut],
Samantha Leorato [aut] |
| Maintainer: |
Daniele Spinelli <daniele.spinelli at unimib.it> |
| BugReports: |
https://github.com/d-spinelli/pmlsp/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/d-spinelli/pmlsp |
| NeedsCompilation: |
no |
| CRAN checks: |
pmlsp results |