solverMLE(...,SaturateOptions=>...) -- use options from "saturate"

Synopsis

• Usage:

  solverMLE(G,U,SaturateOptions=>L)

• Inputs:
  • L, a list, of options to set up saturation. Accepts any option from the function saturate

Description

i1 : G=graph{{1,2},{2,3},{3,4},{1,4}}

o1 = Graph{1 => {2, 4}}
           2 => {1, 3}
           3 => {2, 4}
           4 => {1, 3}

o1 : Graph

i2 : U=random(ZZ^4,ZZ^4)

o2 = | 8 8 8 8 |
     | 1 3 8 5 |
     | 3 3 5 2 |
     | 7 7 7 3 |

              4       4
o2 : Matrix ZZ  <-- ZZ

i3 : solverMLE(G,U,SaturateOptions => {DegreeLimit=>1, MinimalGenerators => false})

o3 = (-5.76639, | 8.1875 6.3125  1.5433 2.625   |, 5)
                | 6.3125 5.1875  1.25   2.11114 |
                | 1.5433 1.25    1.5    2.25    |
                | 2.625  2.11114 2.25   5.25    |

o3 : Sequence

Further information

• Default value: new OptionTable from {Strategy => null, BasisElementLimit => infinity, DegreeLimit => {}, MinimalGenerators => true, PairLimit => infinity}
• Function: solverMLE -- Maximum likelihood estimate of a loopless mixed graph
• Option key: SaturateOptions -- optional input to use options "saturate"

See also

• scoreEquations -- score equations of the log-likelihood function of a Gaussian graphical model
• Saturate -- optional input whether to saturate
• saturate
• solverMLE -- Maximum likelihood estimate of a loopless mixed graph

Functions with optional argument named SaturateOptions:

• scoreEquations(...,SaturateOptions=>...) -- use options from "saturate"
• solverMLE(...,SaturateOptions=>...) -- use options from "saturate"