The residual plots of the following models are not normal, while the distribution of residuals between (-3 to 3) is normal in model m17. The worm plot of all equations appears to be correct. The goal of this project is to calculate the reference equation using the LMS approach. 1. Could you please tell me if the BCCGo distribution is adequate for this data? If not, which family would you suggest? > 2. Which of these equations performs the best? Why? Thanks so much for your time and help in advance.
m4 <- gamlss(y ~ log(Ph1_Groesse) + pb(log(Ph1_Alter_2)), sigma.fo =~pb(log(Ph1_Alter_2)), nu.fo=~log(Ph1_Alter_2), family = BCCGo(mu.link = "log"), data=DAT1.F)
m17 <- gamlss(y ~ log(Ph1_Groesse) + pb(Ph1_Alter_2), sigma.fo =~pb(Ph1_Alter_2), nu.fo =~pb(Ph1_Alter_2), family = BCCGo(mu.link = "log"), data=DAT1.F)
m24 <- gamlss(y ~ log(Ph1_Groesse) + pb(log(Ph1_Alter_2)), sigma.fo =~pb(log(Ph1_Alter_2)), nu.fo=~log(Ph1_Alter_2), tau.fo=~log(Ph1_Alter_2), family = BCPE(mu.link = "log"), data=DAT1.F)
The graphs: Model m4