Dear all. I try to fit conditional auto regressive models (CAR and SAR) in package spdep. Also, I have fitted some other models like GLM, Empirical Bayes and ...
My program to CAR and SAR is: esar1f1 <- spautolm(IMR.m~ 0+PCFP+Sup+B.F,data =data1, listw=nb2listw(nb6, style="W"), family="SAR", method="full", verbose=TRUE) summary(esar1f1) esar1f2 <- spautolm(IMR.m~ 0+PCFP+Sup+B.F,data =data1, listw=nb2listw(nb6, style="W"), family="CAR", method="full", verbose=TRUE) > esar1f1 Call: spautolm(formula = IMR.m ~ 0 + PCFP + Sup + B.F, data = data1, listw = nb2listw(nb6, style = "W"), family = "SAR", method = "full", verbose = TRUE) Coefficients: PCFP Sup B.F lambda 0.1711382 -0.2262700 0.2414336 -1.7946991 Log likelihood: -56.24405 What is lambda?? I couldn't find a good refrences to understand tese model!!! How can I predict this model for new data?? How can I cross validate results of CAR and SAR?? -- Saman Monfared Msc, Department of Statistics, Shiraz University, Shiraz 71454, Iran Email: samanmonfar...@gmail.com Tel: +98 917 5305167 _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo