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2013 Apr 15
1
Optimisation and NaN Errors using clm() and clmm()
...ormalised (mean subtracted 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+pr...