Hello, everybody, There is the first time for me to post a question, because I really cannot find answer from books, websites or my colleagues. Thank you in advance for your help! I am running likelihood ratio test to find if the simpler model is not significant from more complicated model. However, when I run LRT to compare them, the test did not return F value and p-value for me. What's the reason? How can I get such important information?
#################################################### Analysis of Deviance Table Model 1: sum_surv15 ~ s(FLBS) + s(byear) + s(FLBS, byear) Model 2: sum_surv15 ~ s(FLBS) + SES + s(byear) + s(FLBS, byear) Resid. Df Resid. Dev Df Deviance F Pr(>F) 1 1202.21094 601.27 2 1201.43848 601.29 0.77246 -0.02 #################################################### Thank you very much! Jianghua Liu, University of Sheffield -- View this message in context: http://www.nabble.com/Why-there-is-no-p-value-from-likelihood-ratio-test-using-anova-in-GAM-model-fitting--tp23275224p23275224.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
