CRAN/E | spldv

spldv

Spatial Models for Limited Dependent Variables

Installation

About

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.

Citation spldv citation info
github.com/gpiras/spldv
Bug report File report

Key Metrics

Version 0.1.3
R ≥ 4.0
Published 2023-10-11 204 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks spldv results

Downloads

Yesterday 13 +225%
Last 7 days 66 +8%
Last 30 days 228 +7%
Last 90 days 622 -32%
Last 365 days 2.664 +21%

Maintainer

Maintainer

Mauricio Sarrias

msarrias86@gmail.com

Authors

Mauricio Sarrias

aut / cre

Gianfranco Piras

aut

Daniel McMillen

ctb

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

spldv archive

Depends

R ≥ 4.0

Imports

Formula
Matrix
maxLik
stats
sphet
memisc
car
methods
numDeriv
MASS
spatialreg

Suggests

spdep