| Parameter Estimates | variate |
The parameter estimates for P, A, B on convergence or after the final
iteration. |
| False Discovery Rates | variate |
For each probability input, the estimated False Discovery Rates from the
mixture model, i.e. the probability that a non-responding gene will have
a probability of this value or greater. |
| False Rejection Rates | variate |
For each probability input, the estimated False Rejection Rates from the
mixture model, i.e. the probability that a responding gene will
have a probability smaller than this value. |
| Power | variate |
The power, i.e. the probability of obtaining a probability greater
than or equal to the input probabilities. |
| Post Ha | variate |
The posterior probability of a gene being a responsive one. |
| Model Log-likelihood | scalar |
The log-likelihood of the fitted model. |
| Cycles to Fit the Model | scalar |
The number of iterations cycles taken for convergence. If the model
has not converged, then this will be a missing value and so can be used
to test for convergence in a program. |