spldv
Spatial Models for Limited Dependent Variables
The current version of this package estimates spatial autoregressive models for binary dependent variables using GMM estimators <doi:10.18637/jss.v107.i08>. It supports one-step (Pinkse and Slade, 1998) <doi:10.1016/S0304-4076(97)00097-3> and two-step GMM estimator along with the linearized GMM estimator proposed by Klier and McMillen (2008) <doi:10.1198/073500107000000188>. It also allows for either Probit or Logit model and compute the average marginal effects. All these models are presented in Sarrias and Piras (2023) <doi:10.1016/j.jocm.2023.100432>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.3 |
rolling linux/jammy R-4.5 | spldv_0.1.3.tar.gz |
108.7 KiB |
0.1.3 |
rolling linux/noble R-4.5 | spldv_0.1.3.tar.gz |
108.8 KiB |
0.1.3 |
rolling source/ R- | spldv_0.1.3.tar.gz |
20.5 KiB |
0.1.3 |
latest linux/jammy R-4.5 | spldv_0.1.3.tar.gz |
108.7 KiB |
0.1.3 |
latest linux/noble R-4.5 | spldv_0.1.3.tar.gz |
108.8 KiB |
0.1.3 |
latest source/ R- | spldv_0.1.3.tar.gz |
20.5 KiB |
0.1.3 |
2026-04-26 source/ R- | spldv_0.1.3.tar.gz |
20.5 KiB |
0.1.3 |
2026-04-23 source/ R- | spldv_0.1.3.tar.gz |
20.5 KiB |
0.1.3 |
2026-04-09 windows/windows R-4.5 | spldv_0.1.3.zip |
111.3 KiB |
0.1.3 |
2025-04-20 source/ R- | spldv_0.1.3.tar.gz |
20.5 KiB |