learnAlgo: Create an instance of the [LearnAlgo] class
Description
There is two algorithms and two stopping rules possibles for a learning
algorithm.
Algorithms:
Impute: Impute the missing values during the iterations
Simul: Simulate the missing values during the iterations
Stopping rules:
nbIteration: Set the maximum number of iterations
epsilon: Set relative increase of the log-likelihood criterion
Default values are \(200\) nbIteration of Simul.
The epsilon value is not used when the algorithm is "Simul". It is worth noting
that if there is no missing values, the method should be "Impute" and nbIteration
should be set to 1!