Cross Validated
2023-01-22 22:17 UTC
By stats
AI-113-20230122-social-media-9c48bd27
Choosing whether to eliminate or keep a predictor in a GAMLSS model
I need to calculate the centile curve for y using a GAMLSS model with age and height as predictors. The plots below depict the relationship between log(y) and each of the independent variables. I incorporated log of age and log of height into the model to make the relationship between these variables more linear. The findings reveal that age does not influence all factors.The R2=0.8 and RMSE=0.3. Do you recommend me to remove sigma.fo =~pb(log(Ph1_Alter_2)) from the model and put sigma.fo =~1? Is it necessary for age and height to be significant for all parameters when the goal of a project is centile estimation? m8
I need to calculate the centile curve for y using a GAMLSS model with age and height as predictors. The plots below depict the relationship between log(y) and each of the independent variables. I incorporated log of age and log of height into the model to make the relationship between these variables more linear. The findings reveal that age does not influence all factors.The R2=0.8 and RMSE=0.3. Do you recommend me to remove sigma.fo =~pb(log(Ph1_Alter_2)) from the model and put sigma.fo =~1? Is it necessary for age and height to be significant for all parameters when the goal of a project is centile estimation? m8
Full article content could not be extracted automatically. Read the original below.
Source:
Cross Validated
· stats.stackexchange.com