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2011 Apr 13
0
ddply and nlminb
...Fm = Fmo*((T-TL)*(TH-T)^ phi) / ((To-TL)*(TH-To)^ phi) Aest = (qe*PAR + Fm - ((qe*PAR + Fm)^2 - 4*theta*qe*PAR*Fm)^0.5)/(2.*theta) result = sum((Aest-A)^2 ) } # ------------ Define parameter starting values and limits startval = c(0.05,-0.01,20, -5,15,0.5) lowval = c(0.01,-0.05, 5,-15, 7,0.1) uppval = c(0.2, 0.02,50, 0,25,0.99) # ------------ Fit using entire data set R3 <- nlminb(startval, fnonRecHypT, control=list(trace=1), lower=lowval, upper = uppval) # ------------ estimate fit parameter standard errors x = R3$par D3 = hessian(fnonRecHypT,x) e3 = sqrt(diag(solve(D3))) # -----...