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pmlsp  

Partial Maximum Likelihood Estimation of Spatial Probit Models
View on CRAN: Click here


Download and install pmlsp package within the R console
Install from CRAN:
install.packages("pmlsp")

Install from Github:
library("remotes")
install_github("cran/pmlsp")

Install by package version:
library("remotes")
install_version("pmlsp", "1.0.1")



Attach the package and use:
library("pmlsp")
Maintained by
Daniele Spinelli
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-31
Latest Update: 2026-01-31
Description:
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>.
How to cite:
Daniele Spinelli (2026). pmlsp: Partial Maximum Likelihood Estimation of Spatial Probit Models. R package version 1.0.1, https://cran.r-project.org/web/packages/pmlsp. Accessed 07 Aug. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited pmlsp R package
View pmlsp citation profile
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Complete documentation for pmlsp
Functions, R codes and Examples using the pmlsp R package
Full pmlsp package functions and examples
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