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predictor_9
2013 Apr 15
1
Optimisation and NaN Errors using clm() and clmm()
...ted then divided by standard deviation), using a probit link
function. From this global model I am generating a confidence set of 200
models using clm() and the 'glmulti' R package. This produces these errors:
/> model.2.10 <- glmulti(as.factor(dependent) ~
predictor_1*predictor_2*predictor_3*predictor_4*predictor_5*predictor_6*predictor_7*predictor_8*predictor_9,
data = database, fitfunc = clm, link = "probit", method = "g", crit =
aicc, confsetsize = 200, marginality = TRUE)
...
After 670 generations:
Best model:
as.factor(dependent)~1+predictor_1+predictor_2+pr...