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2007 Oct 08
2
variance explained by each term in a GAM
...th (edf), but (as far as I understand) there is no information on the proportion of variance explained. One alternative may be to fit alternative models without each term, and calculate the reduction in deviance. For example: m1=gam(y~s(x1) + s(x2)) # Full model m2=gam(y~s(x2)) m3=gam(y~s(x1)) ddev1=deviance(m1)-deviance(m2) ddev2=deviance(m1)-deviance(m3) Here, ddev1 would measure the relative proportion of the variability in y explained by x1, and ddev2 would do the same for x2. Does this sound like an appropriate approach? Julian Julian Burgos FAR lab University of Washington
2011 Mar 11
0
variance explained by each term in a GAM
...riance explained. >> >> One alternative may be to fit alternative models without each term, and >> calculate the reduction in deviance. For example: >> >> m1=gam(y~s(x1) + s(x2)) # Full model >> m2=gam(y~s(x2)) >> m3=gam(y~s(x1)) >> >> ddev1=deviance(m1)-deviance(m2) >> ddev2=deviance(m1)-deviance(m3) >> >> Here, ddev1 would measure the relative proportion of the variability in y >> explained by x1, and ddev2 would do the same for x2. Does this sound like >> an appropriate approach? >> >&g...