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) .


Reference manual

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install.packages("pmlsp")

1.0.1 by Daniele Spinelli, 8 months ago


https://github.com/d-spinelli/pmlsp


Report a bug at https://github.com/d-spinelli/pmlsp/issues


Browse source code at https://github.com/cran/pmlsp


Authors: Daniele Spinelli [aut, cre] , Anna Gloria Bille' [aut] , Samantha Leorato [aut]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports abind, Matrix, matrixcalc, maxLik, methods, minqa, mvtnorm, numDeriv, qrng, spatialreg, spdep, stats, utils

Suggests testthat


See at CRAN