fr fc          ed np      nnd ID_site RN_total_effort
4  15 34 0.006209597 13 748.4804      13            1344
9  13 81 0.004367510  3 306.6037      22             680
10 10 80 0.006039674  3 106.2123      25             680
11 15 50 0.011958544 13 792.4102      31             680
12 12 36 0.008262562 13 867.6111      35             680
13 16 75 0.006942968  4 686.7576      36             680

m1_mist<-glmer(fr~fc+nnd+ed+np+(1|ID_site), offset(mist$RN_total_effort), family= poisson, data=mist)

Error in glmer(fr ~ fc + nnd + ed + np + (1 | ID_site), offset(mist$RN_total_effort),  :
  'control' is not a list; use glmerControl()

m1_mist<-glmer(fr~fc+nnd+ed+np+(1|ID_site), offset(mist$RN_total_effort), family= poisson, data=mist, control=glmerControl(optimizer="nloptwrap", optCtrl=list(maxfun=100000)))

Error in getStart(start, lower = rho$lower, pred = rho$pp, "theta") :
  incorrect number of theta components (!=1)
Além disso: Warning message:
Some predictor variables are on very different scales: consider rescaling

m1_mist<-glmer(fr~fc+nndr+edr+np+(1|ID_site), offset(mist$RN_total_effort), family= poisson, data=mist, control=glmerControl(optimizer="nloptwrap", optCtrl=list(maxfun=100000)))

Error in getStart(start, lower = rho$lower, pred = rho$pp, "theta") :
  incorrect number of theta components (!=1)