root/library/tests/enorm.cfg @ 584

Revision 462, 1.9 kB (checked in by vbarta, 15 years ago)

moved test of marginal & condition to epdf_harness

Line 
1data = (
2{
3  class = "epdf_harness";
4  epdf = {
5    class = "enorm<ldmat>";
6    mu = [ 1.1, -1.0 ];
7    R = ( "matrix", 2, 2, [ 1.0, -0.5, -0.5, 2.0 ] );
8    rv :
9    {
10      class = "RV";
11      names = ( "x", "y" );
12    };
13  };
14  mean = [ 1.1, -1.0 ];
15  variance = [ 1, 2 ];
16  support = ( "matrix", 2, 2, [ -5.0, 5.0, -5.0, 5.0 ] );
17  R = ( "matrix", 2, 2, [ 1.0, -0.5, -0.5, 2.0 ] );
18  marginal_rv =     {
19      class = "RV";
20      names = ( "y" );
21    };
22  tolerance = 0.3;
23},
24{
25  class = "epdf_harness";
26  epdf = {
27    class = "enorm<fsqmat>";
28    mu = [ 0.0, 0.0 ];
29    R = ( "matrix", 2, 2, [ 5.0, -0.05, -0.05, 5.2 ] );
30    rv :
31    {
32      class = "RV";
33      names = ( "x" );
34    };
35  };
36  mean = [ 0.0, 0.0 ];
37  variance = [ 5.0, 5.2 ];
38  support = ( "matrix", 2, 2, [ -10.0, 10.0, -10.0, 10.0 ] );
39  R = ( "matrix", 2, 2, [ 5.0, -0.05, -0.05, 5.2 ] );
40  nbins = [ 200, 200 ];
41  tolerance = 0.8;
42},
43{
44  class = "epdf_harness";
45  epdf = {
46    class = "enorm<ldmat>";
47    mu = 3.0;
48    R = 1.0;
49    rv :
50    {
51      class = "RV";
52      names = ( "a" );
53    };
54  };
55  mean = 3.0;
56  lognc = 2.11768;
57  variance = [ 1 ];
58  R = 1.0;
59  tolerance = 0.5;
60},
61{
62  class = "epdf_harness";
63  epdf = {
64    class = "enorm<ldmat>";
65    mu = 7.0;
66    R = 1.0;
67    rv :
68    {
69      class = "RV";
70      names = ( "b" );
71    };
72  };
73  mean = 7.0;
74  variance = [ 1 ];
75  R = 1.0;
76},
77{
78  class = "epdf_harness";
79  epdf = {
80    class = "enorm<ldmat>";
81    mu = -3.0;
82    R = 2.0;
83    rv :
84    {
85      class = "RV";
86      names = ( "a" );
87    };
88  };
89  mean = -3.0;
90  variance = [ 2 ];
91},
92{
93  class = "epdf_harness";
94  epdf = {
95    class = "enorm<chmat>";
96    mu = ( "matrix", 1, 2, [ 0.0, 2.0 ] );
97    R = ( "matrix", 2, 2, [ 2.0, 0.0, 0.0, 0.5 ] );
98    rv :
99    {
100      class = "RV";
101      names = ( "a", "b" );
102    };
103  };
104  mean = [ 0.0, 2.0 ];
105  variance = [ 2.0, 0.5 ];
106  R = ( "matrix", 2, 2, [ 2.0, 0.0, 0.0, 0.5 ] );
107  tolerance = 0.5;
108} );
109
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