Running examples in ‘evidence-Ex.R’ failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: looicplot
> ### Title: A dot plot is produced for several related models showing for
> ###   each model its LOOIC-value with its credible interval.
> ### Aliases: looicplot
> 
> ### ** Examples
> 
> data(budworm)
> Mbudworm1 <- stan_glm(formula = cbind(dead, 20 - dead) ~ ldose,
+                       family = binomial, data = budworm,
+                       prior = student_t(df = 7),
+                       prior_intercept = student_t(df = 7))

SAMPLING FOR MODEL 'binomial' NOW (CHAIN 1).

Gradient evaluation took 6.1e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.61 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.134281 seconds (Warm-up)
               0.131123 seconds (Sampling)
               0.265404 seconds (Total)


SAMPLING FOR MODEL 'binomial' NOW (CHAIN 2).

Gradient evaluation took 3.2e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.144098 seconds (Warm-up)
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               0.28666 seconds (Total)


SAMPLING FOR MODEL 'binomial' NOW (CHAIN 3).

Gradient evaluation took 2.7e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.135997 seconds (Warm-up)
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               0.283893 seconds (Total)


SAMPLING FOR MODEL 'binomial' NOW (CHAIN 4).

Gradient evaluation took 2.6e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.135504 seconds (Warm-up)
               0.141926 seconds (Sampling)
               0.27743 seconds (Total)

> Mbudworm2 <- stan_glm(formula = cbind(dead, 20 - dead) ~ ldose * sex,
+                       family = binomial, data = budworm,
+                       prior = student_t(df = 7),
+                       prior_intercept = student_t(df = 7))

SAMPLING FOR MODEL 'binomial' NOW (CHAIN 1).

Gradient evaluation took 5.9e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.59 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.319768 seconds (Warm-up)
               0.35206 seconds (Sampling)
               0.671828 seconds (Total)


SAMPLING FOR MODEL 'binomial' NOW (CHAIN 2).

Gradient evaluation took 2.9e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.314228 seconds (Warm-up)
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               0.661234 seconds (Total)


SAMPLING FOR MODEL 'binomial' NOW (CHAIN 3).

Gradient evaluation took 3.7e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.37 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.330655 seconds (Warm-up)
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               0.700868 seconds (Total)


SAMPLING FOR MODEL 'binomial' NOW (CHAIN 4).

Gradient evaluation took 3.4e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.333226 seconds (Warm-up)
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               0.650536 seconds (Total)

> Mbudworm3 <- stan_glm(formula = cbind(dead, 20 - dead) ~ ldose + sex,
+                       family = binomial, data = budworm,
+                       prior = student_t(df = 7),
+                       prior_intercept = student_t(df = 7))

SAMPLING FOR MODEL 'binomial' NOW (CHAIN 1).

Gradient evaluation took 4.4e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.44 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.167171 seconds (Warm-up)
               0.163277 seconds (Sampling)
               0.330448 seconds (Total)


SAMPLING FOR MODEL 'binomial' NOW (CHAIN 2).

Gradient evaluation took 3.9e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.39 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.160976 seconds (Warm-up)
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               0.320148 seconds (Total)


SAMPLING FOR MODEL 'binomial' NOW (CHAIN 3).

Gradient evaluation took 2.6e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.163018 seconds (Warm-up)
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               0.332709 seconds (Total)


SAMPLING FOR MODEL 'binomial' NOW (CHAIN 4).

Gradient evaluation took 2.7e-05 seconds
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Adjust your expectations accordingly!


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 Elapsed Time: 0.1665 seconds (Warm-up)
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               0.33161 seconds (Total)

> looicplot(looiclist=list(Mbudworm1, Mbudworm2, Mbudworm3),
+          modnames=c("~ ldose", "~ ldose + sex", "~ ldose * sex"),
+          perc=90)
Warning in ic[i] <- qq[[i]][[3]] :
  number of items to replace is not a multiple of replacement length
Error in ic[i] - se[i] * qnorm((100 - perc)/100) : 
  non-numeric argument to binary operator
Calls: looicplot
Execution halted