solverMLE(...,RealPrecision=>...) -- the number of bits of precision to use in the computation

Synopsis

• Usage:

  solverMLE(G,U,RealPrecision=>n)

• Inputs:
  • n, an integer, default is 53

Description

i1 : G = mixedGraph(digraph {{1,2},{1,3},{2,3},{3,4}},bigraph {{3,4}});

i2 : U = matrix{{6.2849049, 10.292875, 1.038475, 1.1845757}, {3.1938475, 3.2573, 1.13847, 1}, {4/5, 3/2, 9/8, 3/10}, {10/7, 2/3,1, 8/3}};

                4         4
o2 : Matrix RR    <-- RR
              53        53

i3 : solverMLE(G,U,RealPrecision=>10)

o3 = (1.83311, | 4.52904   7.81123   -.0250185 .309951   |, 2)
               | 7.81123   14.3732   -.0382332 .473665   |
               | -.0250185 -.0382332 .00337164 -.0418254 |
               | .309951   .473665   -.0418254 .742627   |

o3 : Sequence

Further information

• Default value: 53
• Function: solverMLE -- Maximum likelihood estimate of a loopless mixed graph
• Option key: RealPrecision -- optional input to choose the number of decimals used to round to QQ when inputing data in RR

See also

• scoreEquations -- score equations of the log-likelihood function of a Gaussian graphical model
• solverMLE -- Maximum likelihood estimate of a loopless mixed graph

Functions with optional argument named RealPrecision:

• scoreEquations(...,RealPrecision=>...) -- the number of bits of precision to use in the computation
• solverMLE(...,RealPrecision=>...) -- the number of bits of precision to use in the computation