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

> ### Name: out
> ### Title: out (Output parameters for specific gamma and lambda)
> ### Aliases: out
> 
> ### ** Examples
> 
> #generate data
> set.seed(1234)
> x <- rsggm.generator(N=200,p=20)
> 
> #fit the robust sparse Gaussian graphical modeling
> fit <- rsggm(x,gamma=c(0.05,0.1),delta=0.2)
1/20: lambda: 6.812863e-01, gamma: 5.000000e-02
     computing.......
     number of edges: 0

2/20: lambda: 5.697263e-01, gamma: 5.000000e-02
     computing..........
     number of edges: 2

3/20: lambda: 4.764342e-01, gamma: 5.000000e-02
     computing...........
     number of edges: 5

4/20: lambda: 3.984186e-01, gamma: 5.000000e-02
     computing..........
     number of edges: 5

5/20: lambda: 3.331780e-01, gamma: 5.000000e-02
     computing.........
     number of edges: 6

6/20: lambda: 2.786204e-01, gamma: 5.000000e-02
     computing.........
     number of edges: 7

7/20: lambda: 2.329966e-01, gamma: 5.000000e-02
     computing.........
     number of edges: 9

8/20: lambda: 1.948437e-01, gamma: 5.000000e-02
     computing........
     number of edges: 11

9/20: lambda: 1.629382e-01, gamma: 5.000000e-02
     computing........
     number of edges: 17

10/20: lambda: 1.362573e-01, gamma: 5.000000e-02
     computing........
     number of edges: 21

11/20: lambda: 6.131032e-01, gamma: 1.000000e-01
     computing..........
     number of edges: 0

12/20: lambda: 5.127081e-01, gamma: 1.000000e-01
     computing...............
     number of edges: 2

13/20: lambda: 4.287527e-01, gamma: 1.000000e-01
     computing..............
     number of edges: 3

14/20: lambda: 3.585449e-01, gamma: 1.000000e-01
     computing..............
     number of edges: 5

15/20: lambda: 2.998335e-01, gamma: 1.000000e-01
     computing.............
     number of edges: 5

16/20: lambda: 2.507361e-01, gamma: 1.000000e-01
     computing.............
     number of edges: 7

17/20: lambda: 2.096783e-01, gamma: 1.000000e-01
     computing............
     number of edges: 8

18/20: lambda: 1.753437e-01, gamma: 1.000000e-01
     computing............
     number of edges: 12

19/20: lambda: 1.466314e-01, gamma: 1.000000e-01
     computing............
     number of edges: 18

20/20: lambda: 1.226206e-01, gamma: 1.000000e-01
     computing...........
     number of edges: 23

> 
> #output the result for specitic gamma and lambda
> out(fit,gamma=0.05,lambda=0.2)
$Omega
20 x 20 sparse Matrix of class "dgCMatrix"
Error in isFALSE(suppRows) : could not find function "isFALSE"
Calls: print -> print -> .local
Execution halted