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 4.2e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.42 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.094686 seconds (Warm-up)
               0.094685 seconds (Sampling)
               0.189371 seconds (Total)


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

Gradient evaluation took 2.2e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.093318 seconds (Warm-up)
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               0.184233 seconds (Total)


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

Gradient evaluation took 2.1e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.090893 seconds (Warm-up)
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               0.189683 seconds (Total)


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

Gradient evaluation took 1.7e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.090088 seconds (Warm-up)
               0.094748 seconds (Sampling)
               0.184836 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 5.3e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.53 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.215785 seconds (Warm-up)
               0.257276 seconds (Sampling)
               0.473061 seconds (Total)


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

Gradient evaluation took 2.4e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.228529 seconds (Warm-up)
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               0.470756 seconds (Total)


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

Gradient evaluation took 3e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.230705 seconds (Warm-up)
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               0.491352 seconds (Total)


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

Gradient evaluation took 2.4e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.2377 seconds (Warm-up)
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               0.462082 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 4.1e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.118442 seconds (Warm-up)
               0.113652 seconds (Sampling)
               0.232094 seconds (Total)


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

Gradient evaluation took 2.4e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.113361 seconds (Warm-up)
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               0.228828 seconds (Total)


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

Gradient evaluation took 2.2e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
Adjust your expectations accordingly!


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 Elapsed Time: 0.115563 seconds (Warm-up)
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               0.231202 seconds (Total)


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

Gradient evaluation took 2.5e-05 seconds
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Adjust your expectations accordingly!


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 Elapsed Time: 0.109805 seconds (Warm-up)
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               0.223567 seconds (Total)

> looicplot(looiclist=list(Mbudworm1, Mbudworm2, Mbudworm3),
+          modnames=c("~ ldose", "~ ldose + sex", "~ ldose * sex"),
+          perc=90)
Error in loo.function(ll_fun(x), args = ll_args(x), ...) : 
  is.data.frame(data) || is.matrix(data) is not TRUE
Calls: looicplot -> lapply -> FUN -> <Anonymous> -> loo.stanreg
Execution halted