Displaying 3 results from an estimated 3 matches for "tranf".
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2008 Nov 19
2
GAMM and anove.lme question
...e, mygamm1$lme) is
valid.
How can I tell if anova.lme results are meaningful (are AIC, BIC, and
logLik estimates accurate)?
The data include hydroacoustic estimates of fish biomass (lbloat) in 1,000
meter long intervals (elementary sampling units) from multiple transects
(each 20-30 km long, tranf) in two different lakes and three different
years.
bloat.gamm1 <- gamm(lbloat ~ s(depth), correlation=corSpher(c(30000,
0.01),form = ~ x+y|tranf, nugget=TRUE), data=fish3)
bloat.gamm2 <- gamm(lbloat ~ lakef + s(depth),
correlation=corSpher(c(30000, 0.01),form = ~ x+y|tranf, nugget=TRU...
2008 Aug 06
0
About the features.conf of it's transfer
...as acting ! Could you tell me the reason ? Or
give my the method of the setting.
Thanks!
LARRY
[general]
parkext => 700
parkpos => 701-702
context => parkedcalls
[featuremap]
atxfer => *2
[applicationmap]
set(DYNAMIC_FEATURES=tranf)
tranf => *2,peer,waitexten(10|m)
2008 Nov 15
1
GAMs and GAMMS with correlated acoustic data
....611785 2005 87.59767 2
527606.6 4842426 10
#GAM example
bloat.gam8 <- gam(log10(yaobloaterbiom+0.00325) ~ lakef +s(depth,
by=lakef), data=fish3)
#GAMM example:
bloat.gamm1 <- gamm(log10(yaobloaterbiom+0.00325) ~ lakef + s(depth,
by=lakef), correlation=corAR1(form = ~ interval|tranf), data=fish3)
However, GAMM results from models including a wide variety of correlation
structures (corExp, CorSpher, CorLin, AR1, ARMA) produce autocorrelated
residuals (similar lag range as GAM), patterns in residuals plots, and
confidence intervals for predictions that are only slightly larg...