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2013 Apr 17
1
mgcv: how select significant predictor vars when using gam(...select=TRUE) using automatic optimization
...sibly non-manual manner to identify the significant predictor vars out of the eleven I thought the option "select=T" might do. Example: (here only 4 pedictors) first is vanilla with "select=F" > fit1<-gam(target~s(mgs)+s(gsd)+s(mud)+s(ssCmax),family=quasi(link=log),data=wspe1,select=F) > summary(fit1) Family: quasi Link function: log Formula: target ~ s(mgs) + s(gsd) + s(mud) + s(ssCmax) Parametric coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -34.57 20.47 -1.689 0.0913 . --- Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0...