Running examples in 'logbin-Ex.R' failed
The error most likely occurred in:

> ### Name: logbin
> ### Title: Log-Binomial Regression
> ### Aliases: logbin
> ### Keywords: models regression
> 
> ### ** Examples
> 
> require(glm2)
Loading required package: glm2
> data(heart)
> 
> #======================================================
> #  Model with periodic non-convergence when glm is used
> #======================================================
> 
> start.p <- sum(heart$Deaths) / sum(heart$Patients)
> 
> fit.glm <- glm(cbind(Deaths, Patients-Deaths) ~ factor(AgeGroup) + factor(Severity) +
+   factor(Delay) + factor(Region), family = binomial(log), 
+   start = c(log(start.p), rep(c(0.2, 0.4), 4)), data = heart,
+   trace = TRUE, maxit = 100)
Deviance = NaN Iterations - 1
Warning: step size truncated due to divergence
Step halved: new deviance = 399.4524
Deviance = NaN Iterations - 2
Warning: step size truncated due to divergence
Step halved: new deviance = 247.0966
Deviance = 180.4409 Iterations - 3
Deviance = NaN Iterations - 4
Warning: step size truncated due to divergence
Step halved: new deviance = 151.1102
Deviance = 150.0724 Iterations - 5
Deviance = 156.8653 Iterations - 6
Deviance = NaN Iterations - 7
Warning: step size truncated due to divergence
Step halved: new deviance = 150.2503
Deviance = 158.499 Iterations - 8
Deviance = NaN Iterations - 9
Warning: step size truncated due to divergence
Step halved: new deviance = 150.0289
Deviance = 156.1986 Iterations - 10
Deviance = NaN Iterations - 11
Warning: step size truncated due to divergence
Step halved: new deviance = 150.3571
Deviance = 159.6426 Iterations - 12
Deviance = NaN Iterations - 13
Warning: step size truncated due to divergence
Step halved: new deviance = 149.9
Deviance = 154.8659 Iterations - 14
Deviance = NaN Iterations - 15
Warning: step size truncated due to divergence
Step halved: new deviance = 150.5809
Deviance = 162.0326 Iterations - 16
Deviance = NaN Iterations - 17
Warning: step size truncated due to divergence
Step halved: new deviance = 149.6955
Deviance = 152.7643 Iterations - 18
Deviance = NaN Iterations - 19
Warning: step size truncated due to divergence
Step halved: new deviance = 150.8699
Deviance = 165.1689 Iterations - 20
Deviance = NaN Iterations - 21
Warning: step size truncated due to divergence
Step halved: new deviance = 149.5298
Deviance = 151.0205 Iterations - 22
Deviance = NaN Iterations - 23
Warning: step size truncated due to divergence
Step halved: new deviance = 150.6786
Deviance = 163.2118 Iterations - 24
Deviance = NaN Iterations - 25
Warning: step size truncated due to divergence
Step halved: new deviance = 149.6216
Deviance = 151.9946 Iterations - 26
Deviance = NaN Iterations - 27
Warning: step size truncated due to divergence
Step halved: new deviance = 150.8733
Deviance = 165.237 Iterations - 28
Deviance = NaN Iterations - 29
Warning: step size truncated due to divergence
Step halved: new deviance = 149.5273
Deviance = 150.9917 Iterations - 30
Deviance = NaN Iterations - 31
Warning: step size truncated due to divergence
Step halved: new deviance = 150.6681
Deviance = 163.1023 Iterations - 32
Deviance = NaN Iterations - 33
Warning: step size truncated due to divergence
Step halved: new deviance = 149.6278
Deviance = 152.0594 Iterations - 34
Deviance = NaN Iterations - 35
Warning: step size truncated due to divergence
Step halved: new deviance = 150.8772
Deviance = 165.2758 Iterations - 36
Deviance = NaN Iterations - 37
Warning: step size truncated due to divergence
Step halved: new deviance = 149.5258
Deviance = 150.9757 Iterations - 38
Deviance = NaN Iterations - 39
Warning: step size truncated due to divergence
Step halved: new deviance = 150.6622
Deviance = 163.04 Iterations - 40
Deviance = NaN Iterations - 41
Warning: step size truncated due to divergence
Step halved: new deviance = 149.6314
Deviance = 152.0968 Iterations - 42
Deviance = NaN Iterations - 43
Warning: step size truncated due to divergence
Step halved: new deviance = 150.8791
Deviance = 165.2939 Iterations - 44
Deviance = NaN Iterations - 45
Warning: step size truncated due to divergence
Step halved: new deviance = 149.5251
Deviance = 150.9683 Iterations - 46
Deviance = NaN Iterations - 47
Warning: step size truncated due to divergence
Step halved: new deviance = 150.6594
Deviance = 163.0108 Iterations - 48
Deviance = NaN Iterations - 49
Warning: step size truncated due to divergence
Step halved: new deviance = 149.6331
Deviance = 152.1145 Iterations - 50
Deviance = NaN Iterations - 51
Warning: step size truncated due to divergence
Step halved: new deviance = 150.8799
Deviance = 165.3014 Iterations - 52
Deviance = NaN Iterations - 53
Warning: step size truncated due to divergence
Step halved: new deviance = 149.5248
Deviance = 150.9653 Iterations - 54
Deviance = NaN Iterations - 55
Warning: step size truncated due to divergence
Step halved: new deviance = 150.6582
Deviance = 162.9986 Iterations - 56
Deviance = NaN Iterations - 57
Warning: step size truncated due to divergence
Step halved: new deviance = 149.6338
Deviance = 152.1218 Iterations - 58
Deviance = NaN Iterations - 59
Warning: step size truncated due to divergence
Step halved: new deviance = 150.8802
Deviance = 165.3043 Iterations - 60
Deviance = NaN Iterations - 61
Warning: step size truncated due to divergence
Step halved: new deviance = 149.5247
Deviance = 150.9641 Iterations - 62
Deviance = NaN Iterations - 63
Warning: step size truncated due to divergence
Step halved: new deviance = 150.6578
Deviance = 162.9939 Iterations - 64
Deviance = NaN Iterations - 65
Warning: step size truncated due to divergence
Step halved: new deviance = 149.634
Deviance = 152.1247 Iterations - 66
Deviance = NaN Iterations - 67
Warning: step size truncated due to divergence
Step halved: new deviance = 150.8803
Deviance = 165.3054 Iterations - 68
Deviance = NaN Iterations - 69
Warning: step size truncated due to divergence
Step halved: new deviance = 149.5247
Deviance = 150.9637 Iterations - 70
Deviance = NaN Iterations - 71
Warning: step size truncated due to divergence
Step halved: new deviance = 150.6576
Deviance = 162.9921 Iterations - 72
Deviance = NaN Iterations - 73
Warning: step size truncated due to divergence
Step halved: new deviance = 149.6342
Deviance = 152.1258 Iterations - 74
Deviance = NaN Iterations - 75
Warning: step size truncated due to divergence
Step halved: new deviance = 150.8803
Deviance = 165.3058 Iterations - 76
Deviance = NaN Iterations - 77
Warning: step size truncated due to divergence
Step halved: new deviance = 149.5247
Deviance = 150.9635 Iterations - 78
Deviance = NaN Iterations - 79
Warning: step size truncated due to divergence
Step halved: new deviance = 150.6575
Deviance = 162.9915 Iterations - 80
Deviance = NaN Iterations - 81
Warning: step size truncated due to divergence
Step halved: new deviance = 149.6342
Deviance = 152.1262 Iterations - 82
Deviance = NaN Iterations - 83
Warning: step size truncated due to divergence
Step halved: new deviance = 150.8804
Deviance = 165.306 Iterations - 84
Deviance = NaN Iterations - 85
Warning: step size truncated due to divergence
Step halved: new deviance = 149.5247
Deviance = 150.9634 Iterations - 86
Deviance = NaN Iterations - 87
Warning: step size truncated due to divergence
Step halved: new deviance = 150.6575
Deviance = 162.9912 Iterations - 88
Deviance = NaN Iterations - 89
Warning: step size truncated due to divergence
Step halved: new deviance = 149.6342
Deviance = 152.1264 Iterations - 90
Deviance = NaN Iterations - 91
Warning: step size truncated due to divergence
Step halved: new deviance = 150.8804
Deviance = 165.3061 Iterations - 92
Deviance = NaN Iterations - 93
Warning: step size truncated due to divergence
Step halved: new deviance = 149.5247
Deviance = 150.9634 Iterations - 94
Deviance = NaN Iterations - 95
Warning: step size truncated due to divergence
Step halved: new deviance = 150.6575
Deviance = 162.9911 Iterations - 96
Deviance = NaN Iterations - 97
Warning: step size truncated due to divergence
Step halved: new deviance = 149.6342
Deviance = 152.1264 Iterations - 98
Deviance = NaN Iterations - 99
Warning: step size truncated due to divergence
Step halved: new deviance = 150.8804
Deviance = 165.3061 Iterations - 100
Warning: glm.fit: algorithm did not converge
> 
> fit.logbin <- logbin(formula(fit.glm), data = heart, 
+                      start = c(log(start.p), rep(c(0.2, 0.4), 4)),
+                      trace = 1)
logbin parameterisation 1/81
Error in library.dynam(lib, package, package.lib) : 
  DLL 'Rcpp' not found: maybe not installed for this architecture?
Calls: logbin ... namespaceImportFrom -> asNamespace -> loadNamespace -> library.dynam
Execution halted