Thank you for the confirmation! On Wed, Jun 5, 2019 at 11:07 AM Roger Bivand <roger.biv...@nhh.no> wrote:
> On Wed, 5 Jun 2019, Justin Schon wrote: > > > Hello all, > > > > I've seen that a lot of people ask about this, but I am interested in > > whether there may be any developments here. Is there a predict function > > that works for splm objects? > > > > Note that I am not referring to spLM objects, which often comes up for me > > when I google this question. > > > > I found a proposal to do this here: > > > https://github.com/rstats-gsoc/gsoc2015/wiki/Predict-methods-for-spatial-econometrics > > > > Did that effort, or any other efforts, succeed? > > Yes, spatialreg::predict.sarlm() implements cross-sectional predictions. > Contributions are still needed for spatial panel and GMM models. > > Roger > > > > > Thank you for any insight that can be shared, > > > > Justin > > > > > > > > -- > Roger Bivand > Department of Economics, Norwegian School of Economics, > Helleveien 30, N-5045 Bergen, Norway. > voice: +47 55 95 93 55; e-mail: roger.biv...@nhh.no > https://orcid.org/0000-0003-2392-6140 > https://scholar.google.no/citations?user=AWeghB0AAAAJ&hl=en > -- Justin Schon Post-Doctoral Researcher on Environmental Change and Migration MURI Migration Research Team <http://murimigration.org/> University of Florida [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo