R.MLE.memory: Gaussian copula correlation matrix Maximum Likelihood...
In qch: Query Composite Hypotheses

R.MLE.memory

R Documentation

Gaussian copula correlation matrix Maximum Likelihood estimator (memory handling)

Gaussian copula correlation matrix Maximum Likelihood estimator (memory handling)

R.MLE.memory(
  Hconfig,
  fHconfig_sum,
  OldPrior,
  Logf0Mat,
  Logf1Mat,
  zeta0,
  zeta1,
  OldR,
  OldRinv
)

`Hconfig`	A list of all possible combination of H0 and H1 hypotheses generated by the `GetHconfig()` function.
`fHconfig_sum`	a vector containing sum_c(w_c*psi_c) for each items.
`OldPrior`	a vector containing the prior probabilities for each of the H-configurations.
`Logf0Mat`	a matrix containing log(f0Mat), each column corresponding to a p-value serie.
`Logf1Mat`	a matrix containing log(f1Mat), each column corresponding to a p-value serie.
`zeta0`	a matrix containing qnorm(F0Mat), each column corresponding to a p-value serie.
`zeta1`	a matrix containing qnorm(F1Mat), each column corresponding to a p-value serie.
`OldR`	the copula correlation matrix.
`OldRinv`	the inverse of copula correlation matrix.