The fishing data is adapted from Zuur, Hilbe and Ieno (2013) to determine whether the data appears to be generated from more than one generating mechanism. The data are originally adapted from Bailey et al. (2008) who were interested in how certain deep-sea fish populations were impacted when commercial fishing began in locations with deeper water than in previous years. Given that there are 147 sites that were researched, the model is of (1) the total number of fish counted per site (totabund); ( 2) on the mean water depth per site (meandepth); (3) adjusted by the area of the site (sweptarea); (4) the log of which is the model offset.
A data frame with 147 observations on the following variables.
total fish counted per site
mean water depth per site
adjusted area of site
folage density index
fishing is saved as a data frame. Count models use totabund as response variable. Counts start at 2
Zuur, Hilbe, Ieno (2013), A Beginner's Guide to GLM and GLMM using R,
Hilbe, Joseph M (2014), Modeling Count Data, Cambridge University Press Zuur, Hilbe, Ieno (2013), A Beginner's Guide to GLM and GLMM using R, Highlands. Bailey M. et al (2008), "Longterm changes in deep-water fish populations in the North East Atlantic", Proc Roy Soc B 275:1965-1969.
## Not run: library(MASS) library(flexmix) data(fishing) attach(fishing) fmm_pg <- flexmix(totabund~meandepth + offset(log(sweptarea)), data=rwm1984, k=2, model=list(FLXMRglm(totabund~., family="NB1"), FLXMRglm(tpdocvis~., family="NB1"))) parameters(fmm_pg, component=1, model=1) parameters(fmm_pg, component=2, model=1) summary(fmm_pg) ## End(Not run)