[R] lme anova() and model simplification

I am running an lme model with the main effects of four fixed variables (3 continuous and one categorical – see below) and one random variable. The data describe the densities of a mite species – awsm – in relation to four variables: adh31 (temperature related), apsm (another plant feeding mite)

Re: [R] lme anova() and model simplification

Read section 2.4.2 of Pinheiro and Bates again. It describes the differences between the 4 methods of inference you tried (marginal t-test, sequential F-tests, LRTs and CIs) and makes some recommendations. There are some tricky issues involved in drawing inferences from mixed models, and