Macaulay2
»
Documentation
Packages
»
GraphicalModelsMLE
::
Table of Contents
next | previous | forward | backward | up |
index
|
toc
GraphicalModelsMLE : Table of Contents
GraphicalModelsMLE
-- a package for MLE of parameters for Gaussian graphical models
checkPD
-- returns positive definite matrices from a list of symmetric matrices
checkPD(...,ZeroTolerance=>...)
-- optional input to set the largest absolute value that should be treated as zero
checkPSD
-- returns positive semidefinite matrices from a list of symmetric matrices
checkPSD(...,ZeroTolerance=>...)
-- optional input to set the largest absolute value that should be treated as zero
ConcentrationMatrix
-- optional input to output MLE for concentration matrix instead of MLE for covariance matrix
CovarianceMatrix
-- optional input to output covariance matrix
jacobianMatrixOfRationalFunction
-- Jacobian matrix of a rational function
MLdegree
-- ML-degree of a graphical model
OptionsEigenSolver
-- optional input to use options of "zeroDimSolve" in "EigenSolver"
OptionsNAG4M2
-- optional parameter to set the parameters of solveSystem in NumericalAlgebraicGeometry
RealPrecision
-- optional input to choose the number of decimals used to round to QQ when inputing data in RR
sampleCovarianceMatrix
-- sample covariance matrix of observation vectors
SampleData
-- optional input to allow to input the sample covariance matrix instead of sample data
Saturate
-- optional input whether to saturate
SaturateOptions
-- optional input to use options "saturate"
scoreEquations
-- score equations of the log-likelihood function of a Gaussian graphical model
scoreEquations(...,CovarianceMatrix=>...)
-- output covariance matrix
scoreEquations(...,RealPrecision=>...)
-- the number of bits of precision to use in the computation
scoreEquations(...,SampleData=>...)
-- input sample covariance matrix instead of sample data
scoreEquations(...,Saturate=>...)
-- whether to saturate
scoreEquations(...,SaturateOptions=>...)
-- use options from "saturate"
Solver
-- optional input to choose numerical solver
solverMLE
-- Maximum likelihood estimate of a loopless mixed graph
solverMLE(...,ConcentrationMatrix=>...)
-- output MLE for concentration matrix instead of MLE for covariance matrix
solverMLE(...,OptionsEigenSolver=>...)
-- use options of "zeroDimSolve" in "EigenSolver"
solverMLE(...,OptionsNAG4M2=>...)
-- use options of "solveSystem" in "NumericalAlgebraicGeometry"
solverMLE(...,RealPrecision=>...)
-- the number of bits of precision to use in the computation
solverMLE(...,SampleData=>...)
-- input sample covariance matrix instead of sample data
solverMLE(...,Saturate=>...)
-- whether to saturate
solverMLE(...,SaturateOptions=>...)
-- use options from "saturate"
solverMLE(...,Solver=>...)
-- choose numerical solver
solverMLE(...,ZeroTolerance=>...)
-- optional input to set the largest absolute value that should be treated as zero
ZeroTolerance
-- optional input to set the largest absolute value that should be treated as zero