Package: hspm Type: Package Title: Heterogeneous Spatial Models Date: 2023-11-2 Version: 1.1-5 Authors@R: c(person("Gianfranco", "Piras", role = c("aut", "cre"), email = "gpiras@mac.com", comment = c(ORCID = "0000-0003-0225-6061")), person("Mauricio", "Sarrias", role = c("aut"), email = "msarrias86@gmail.com", comment = c(ORCID = "0000-0001-5932-4817"))) Maintainer: Gianfranco Piras Description: Spatial heterogeneity can be specified in various ways. 'hspm' is an ambitious project that aims at implementing various methodologies to control for heterogeneity in spatial models. The current version of 'hspm' deals with spatial and (non-spatial) regimes models. In particular, the package allows to estimate a general spatial regimes model with additional endogenous variables, specified in terms of a spatial lag of the dependent variable, the spatially lagged regressors, and, potentially, a spatially autocorrelated error term. Spatial regime models are estimated by instrumental variables and generalized methods of moments (see Arraiz et al., (2010) , Bivand and Piras, (2015) , Drukker et al., (2013) , Kelejian and Prucha, (2010) ). Encoding: UTF-8 LazyData: true RoxygenNote: 7.2.3 Depends: R (>= 4.0) Imports: Formula, sphet, stats, spdep, Matrix, stringr, maxLik, methods, plm, spldv Suggests: splm License: GPL (>= 2) URL: https://github.com/gpiras/hspm BugReports: https://github.com/gpiras/hspm/issues Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev make libicu-dev libssl-dev libproj-dev libsqlite3-dev libudunits2-dev Repository: https://gpiras.r-universe.dev Date/Publication: 2023-11-07 22:12:35 UTC RemoteUrl: https://github.com/gpiras/hspm RemoteRef: HEAD RemoteSha: ba46eb679e9f69476b75c42a6074b14038da27c3 NeedsCompilation: no Packaged: 2026-06-14 08:54:02 UTC; root Author: Gianfranco Piras [aut, cre] (ORCID: ), Mauricio Sarrias [aut] (ORCID: )