pmlsp
Partial Maximum Likelihood Estimation of Spatial Probit Models
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling linux/jammy R-4.5 | pmlsp_1.0.1.tar.gz |
141.2 KiB |
1.0.1 |
rolling linux/noble R-4.5 | pmlsp_1.0.1.tar.gz |
141.1 KiB |
1.0.1 |
rolling source/ R- | pmlsp_1.0.1.tar.gz |
39.0 KiB |
1.0.1 |
latest linux/jammy R-4.5 | pmlsp_1.0.1.tar.gz |
141.2 KiB |
1.0.1 |
latest linux/noble R-4.5 | pmlsp_1.0.1.tar.gz |
141.1 KiB |
1.0.1 |
latest source/ R- | pmlsp_1.0.1.tar.gz |
39.0 KiB |
1.0.1 |
2026-04-26 source/ R- | pmlsp_1.0.1.tar.gz |
39.0 KiB |
1.0.1 |
2026-04-23 source/ R- | pmlsp_1.0.1.tar.gz |
39.0 KiB |
1.0.1 |
2026-04-09 windows/windows R-4.5 | pmlsp_1.0.1.zip |
144.0 KiB |