High-Performance Open-Source Archive
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 |
| 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 |
| Reference manual: | pmlsp.html , pmlsp.pdf |
| Package source: | pmlsp_1.0.1.tar.gz |
| Windows binaries: | r-devel: pmlsp_1.0.1.zip, r-release: pmlsp_1.0.1.zip, r-oldrel: pmlsp_1.0.1.zip |
| macOS binaries: | r-release (arm64): pmlsp_1.0.1.tgz, r-oldrel (arm64): pmlsp_1.0.1.tgz, r-release (x86_64): pmlsp_1.0.1.tgz, r-oldrel (x86_64): pmlsp_1.0.1.tgz |
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